Warning: Permanently added '172.25.88.21' (ECDSA) to the list of known hosts. Task: {'build_id': 692119, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-x86_64', 'enable_net': True, 'git_hash': '3566ac06268bfb330d9000aeff35a99f925f6269', 'git_repo': 'jdulaney/tensorflow/tensorflow', 'memory_reqs': 2048, 'package_name': 'tensorflow', 'package_version': '1.4.1-1.fc27', 'project_name': 'tensorflow', 'project_owner': 'jdulaney', 'repos': [{'id': 'copr_base', 'name': 'Copr repository', 'url': 'https://copr-be.cloud.fedoraproject.org/results/jdulaney/tensorflow/fedora-rawhide-x86_64/'}, {'id': 'https_copr_be_cloud_fedoraproject_org_results_vbatts_bazel_fedora_releasever_basearch', 'name': 'Additional repo ' 'https_copr_be_cloud_fedoraproject_org_results_vbatts_bazel_fedora_releasever_basearch', 'url': 'https://copr-be.cloud.fedoraproject.org/results/vbatts/bazel/fedora-$releasever-$basearch/'}], 'source_json': '{"clone_url": "http://copr-dist-git.fedorainfracloud.org/git/jdulaney/tensorflow/tensorflow.git", ' '"committish": "3566ac06268bfb330d9000aeff35a99f925f6269"}', 'source_type': 8, 'submitter': 'jdulaney', 'task_id': '692119-fedora-rawhide-x86_64', 'timeout': 64800, 'use_bootstrap_container': False} Running: git clone http://copr-dist-git.fedorainfracloud.org/git/jdulaney/tensorflow/tensorflow.git /tmp/tmp8wqqi4bu/tensorflow --depth 500 --no-single-branch cmd: ['git', 'clone', 'http://copr-dist-git.fedorainfracloud.org/git/jdulaney/tensorflow/tensorflow.git', '/tmp/tmp8wqqi4bu/tensorflow', '--depth', '500', '--no-single-branch'] cwd: . rc: 0 stdout: stderr: Cloning into '/tmp/tmp8wqqi4bu/tensorflow'... Running: git checkout 3566ac06268bfb330d9000aeff35a99f925f6269 cmd: ['git', 'checkout', '3566ac06268bfb330d9000aeff35a99f925f6269'] cwd: /tmp/tmp8wqqi4bu/tensorflow rc: 0 stdout: stderr: Note: checking out '3566ac06268bfb330d9000aeff35a99f925f6269'. 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 performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at 3566ac0... automatic import of tensorflow 1.4.1-1.fc27 Running: cp -r . /tmp/tmpqfywc7d9 cmd: ['cp', '-r', '.', '/tmp/tmpqfywc7d9'] cwd: /tmp/tmp8wqqi4bu/tensorflow rc: 0 stdout: stderr: Generated rpkg config: [distgit] lookaside = http://copr-dist-git.fedorainfracloud.org/repo/pkgs/%(ns2)s/%(ns1)s/%(pkg)s/%(filename)s/%(hashtype)s/%(hash)s/%(filename)s anongiturl = http://copr-dist-git.fedorainfracloud.org/git/%(module)s Running: rpkg -C /tmp/tmp8wqqi4bu/rpkg.conf sources --outdir /tmp/tmpqfywc7d9 cmd: ['rpkg', '-C', '/tmp/tmp8wqqi4bu/rpkg.conf', 'sources', '--outdir', '/tmp/tmpqfywc7d9'] cwd: /tmp/tmp8wqqi4bu/tensorflow rc: 0 stdout: Downloading v1.4.1.tar.gz stderr: {'task_id': '692119-fedora-rawhide-x86_64', 'chroot': 'fedora-rawhide-x86_64', 'buildroot_pkgs': [], 'enable_net': True, 'repos': [{'id': 'copr_base', 'name': 'Copr repository', 'url': 'https://copr-be.cloud.fedoraproject.org/results/jdulaney/tensorflow/fedora-rawhide-x86_64/'}, {'id': 'https_copr_be_cloud_fedoraproject_org_results_vbatts_bazel_fedora_releasever_basearch', 'name': 'Additional repo https_copr_be_cloud_fedoraproject_org_results_vbatts_bazel_fedora_releasever_basearch', 'url': 'https://copr-be.cloud.fedoraproject.org/results/vbatts/bazel/fedora-$releasever-$basearch/'}], 'use_bootstrap_container': False, 'pkg_manager_conf': 'yum', 'timeout': 64800, 'sourcedir': '/tmp/tmpqfywc7d9', 'resultdir': '/var/lib/copr-rpmbuild/results', 'config': , 'logfile': '/var/lib/copr-rpmbuild/main.log'} /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running: unbuffer /usr/bin/mock --buildsrpm --spec /tmp/tmpqfywc7d9/tensorflow.spec --sources /tmp/tmpqfywc7d9 --configdir /var/lib/copr-rpmbuild/results/configs --resultdir /var/lib/copr-rpmbuild/results --define %_disable_source_fetch 0 --uniqueext 1514665782.736827 -r child WARNING: Could not find required logging config file: /var/lib/copr-rpmbuild/results/configs/logging.ini. Using default... INFO: mock.py version 1.3.4 starting (python version = 3.6.3)... Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: compress_logs: initialized Finish: init plugins Start: run INFO: Start(/tmp/tmpqfywc7d9/tensorflow.spec) Config(692119-fedora-rawhide-x86_64) Start: clean chroot Finish: clean chroot Start: chroot init INFO: mounting tmpfs at /var/lib/mock/692119-fedora-rawhide-x86_64-1514665782.736827/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled HW Info plugin Mock Version: 1.3.4 INFO: Mock Version: 1.3.4 Start: dnf install 'Additional repo https_copr_be_cloud_fedoraproj 23 kB/s | 1.7 kB 00:00 fedora 2.4 MB/s | 59 MB 00:24 Failed to synchronize cache for repo 'copr_base', disabling. Last metadata expiration check: 0:00:00 ago on Sat 30 Dec 2017 08:29:48 PM UTC. Dependencies resolved. ================================================================================ Group Packages ================================================================================ Marking packages as installed by the group: @Buildsystem building group xz unzip make diffutils which sed util-linux redhat-rpm-config gcc info coreutils grep gawk fedora-release gcc-c++ patch bash cpio shadow-utils bzip2 gzip tar rpm-build findutils ================================================================================ Package Arch Version Repository Size ================================================================================ Installing group packages: bash x86_64 4.4.12-13.fc28 fedora 1.5 M bzip2 x86_64 1.0.6-24.fc27 fedora 58 k coreutils x86_64 8.28-2.fc28 fedora 1.2 M cpio x86_64 2.12-6.fc28 fedora 262 k diffutils x86_64 3.6-3.fc27 fedora 354 k fedora-release noarch 28-0.1 fedora 25 k findutils x86_64 1:4.6.0-14.fc27 fedora 522 k gawk x86_64 4.2.0-2.fc28 fedora 1.1 M gcc x86_64 7.2.1-4.fc28 fedora 21 M gcc-c++ x86_64 7.2.1-4.fc28 fedora 11 M grep x86_64 3.1-3.fc27 fedora 270 k gzip x86_64 1.8-4.fc27 fedora 160 k info x86_64 6.5-1.fc28 fedora 193 k make x86_64 1:4.2.1-4.fc27 fedora 494 k patch x86_64 2.7.5-6.fc27 fedora 123 k redhat-rpm-config noarch 70-2.fc28 fedora 62 k rpm-build x86_64 4.14.0-5.fc28 fedora 160 k sed x86_64 4.4-3.fc27 fedora 288 k shadow-utils x86_64 2:4.5-7.fc28 fedora 1.2 M tar x86_64 2:1.29-7.fc27 fedora 815 k unzip x86_64 6.0-36.fc27 fedora 189 k util-linux x86_64 2.31-2.fc28 fedora 2.4 M which x86_64 2.21-4.fc27 fedora 46 k xz x86_64 5.2.3-5.fc28 fedora 150 k Installing dependencies: annobin x86_64 2.5.1-5.fc28 fedora 43 k audit-libs x86_64 2.8.2-1.fc28 fedora 112 k basesystem noarch 11-4.fc27 fedora 8.9 k binutils x86_64 2.29.1-9.fc28 fedora 6.0 M bzip2-libs x86_64 1.0.6-24.fc27 fedora 46 k ca-certificates noarch 2017.2.20-2.fc28 fedora 406 k chkconfig x86_64 1.10-3.fc27 fedora 186 k cmake-rpm-macros noarch 3.10.1-6.fc28 fedora 36 k coreutils-common x86_64 8.28-2.fc28 fedora 1.9 M cpp x86_64 7.2.1-4.fc28 fedora 9.2 M cracklib x86_64 2.9.6-9.fc28 fedora 87 k crypto-policies noarch 20171115-1.git921600e.fc28 fedora 37 k curl x86_64 7.57.0-1.fc28 fedora 336 k cyrus-sasl-lib x86_64 2.1.26-35.fc28 fedora 161 k dwz x86_64 0.12-5.fc27 fedora 106 k elfutils x86_64 0.170-1.fc27 fedora 310 k elfutils-default-yama-scope noarch 0.170-1.fc27 fedora 39 k elfutils-libelf x86_64 0.170-1.fc27 fedora 204 k elfutils-libs x86_64 0.170-1.fc27 fedora 283 k expat x86_64 2.2.5-1.fc28 fedora 103 k fedora-gpg-keys noarch 28-0.3 fedora 93 k fedora-repos noarch 28-0.3 fedora 8.1 k fedora-repos-rawhide noarch 28-0.3 fedora 7.7 k file x86_64 5.32-1.fc28 fedora 72 k file-libs x86_64 5.32-1.fc28 fedora 514 k filesystem x86_64 3.7-1.fc28 fedora 1.1 M fpc-srpm-macros noarch 1.1-3.fc27 fedora 7.1 k gc x86_64 7.6.0-7.fc27 fedora 110 k gdb-headless x86_64 8.0.50.20171213-35.fc28 fedora 3.5 M gdbm x86_64 1.13-3.fc27 fedora 157 k ghc-srpm-macros noarch 1.4.2-6.fc27 fedora 7.9 k glib2 x86_64 2.55.0-1.fc28 fedora 2.5 M glibc x86_64 2.26.9000-34.fc28 fedora 3.5 M glibc-all-langpacks x86_64 2.26.9000-34.fc28 fedora 8.0 M glibc-common x86_64 2.26.9000-34.fc28 fedora 795 k glibc-devel x86_64 2.26.9000-34.fc28 fedora 1.0 M glibc-headers x86_64 2.26.9000-34.fc28 fedora 518 k gmp x86_64 1:6.1.2-6.fc27 fedora 280 k gnat-srpm-macros noarch 4-4.fc27 fedora 8.4 k gnupg2 x86_64 2.2.3-1.fc28 fedora 2.3 M gnutls x86_64 3.6.1-3.fc28 fedora 728 k go-srpm-macros noarch 2-10.fc27 fedora 8.0 k guile x86_64 5:2.0.14-4.fc28 fedora 3.5 M ima-evm-utils x86_64 1.0-3.fc28 fedora 50 k isl x86_64 0.16.1-4.fc28 fedora 835 k kernel-headers x86_64 4.15.0-0.rc4.git3.1.fc28 fedora 1.2 M keyutils-libs x86_64 1.5.10-3.fc27 fedora 32 k krb5-libs x86_64 1.16-2 fedora 821 k libacl x86_64 2.2.52-18.fc27 fedora 33 k libarchive x86_64 3.3.1-3.fc27 fedora 355 k libassuan x86_64 2.5.1-1.fc28 fedora 81 k libatomic_ops x86_64 7.4.6-3.fc27 fedora 33 k libattr x86_64 2.4.47-21.fc27 fedora 25 k libbabeltrace x86_64 1.5.3-1.fc27 fedora 195 k libblkid x86_64 2.31-2.fc28 fedora 202 k libcap x86_64 2.25-7.fc27 fedora 54 k libcap-ng x86_64 0.7.8-7.fc28 fedora 31 k libcom_err x86_64 1.43.7-1.fc28 fedora 46 k libcrypt x86_64 2.26.9000-34.fc28 fedora 56 k libcurl x86_64 7.57.0-1.fc28 fedora 284 k libdb x86_64 5.3.28-29.fc28 fedora 753 k libdb-utils x86_64 5.3.28-29.fc28 fedora 145 k libfdisk x86_64 2.31-2.fc28 fedora 252 k libffi x86_64 3.1-14.fc27 fedora 34 k libgcc x86_64 7.2.1-4.fc28 fedora 90 k libgcrypt x86_64 1.8.2-1.fc28 fedora 454 k libgomp x86_64 7.2.1-4.fc28 fedora 198 k libgpg-error x86_64 1.27-3.fc27 fedora 183 k libidn2 x86_64 2.0.4-1.fc28 fedora 98 k libipt x86_64 1.6.1-4.fc27 fedora 47 k libksba x86_64 1.3.5-5.fc27 fedora 132 k libmetalink x86_64 0.1.3-4.fc27 fedora 30 k libmount x86_64 2.31-2.fc28 fedora 223 k libmpc x86_64 1.0.2-8.fc27 fedora 56 k libnghttp2 x86_64 1.29.0-1.fc28 fedora 74 k libpkgconf x86_64 1.3.90-1.fc28 fedora 33 k libpsl x86_64 0.19.1-1.fc28 fedora 50 k libpwquality x86_64 1.4.0-4.fc28 fedora 100 k libselinux x86_64 2.7-6.fc28 fedora 174 k libsemanage x86_64 2.7-5.fc28 fedora 157 k libsepol x86_64 2.7-3.fc28 fedora 332 k libsigsegv x86_64 2.11-3.fc27 fedora 28 k libsmartcols x86_64 2.31-2.fc28 fedora 165 k libssh2 x86_64 1.8.0-5.fc28 fedora 96 k libstdc++ x86_64 7.2.1-4.fc28 fedora 463 k libstdc++-devel x86_64 7.2.1-4.fc28 fedora 1.9 M libtasn1 x86_64 4.12-3.fc27 fedora 74 k libtool-ltdl x86_64 2.4.6-20.fc27 fedora 55 k libunistring x86_64 0.9.8-1.fc28 fedora 419 k libusbx x86_64 1.0.21-4.fc27 fedora 68 k libutempter x86_64 1.1.6-11.fc27 fedora 30 k libuuid x86_64 2.31-2.fc28 fedora 88 k libverto x86_64 0.3.0-1.fc28 fedora 22 k libxml2 x86_64 2.9.5-2.fc28 fedora 691 k libzstd x86_64 1.3.3-1.fc28 fedora 207 k lua-libs x86_64 5.3.4-7.fc28 fedora 116 k lz4-libs x86_64 1.8.0-1.fc28 fedora 49 k mpfr x86_64 3.1.5-5.fc27 fedora 216 k ncurses x86_64 6.0-15.20171125.fc28 fedora 378 k ncurses-base noarch 6.0-15.20171125.fc28 fedora 78 k ncurses-libs x86_64 6.0-15.20171125.fc28 fedora 331 k nettle x86_64 3.4-1.fc28 fedora 292 k npth x86_64 1.5-3.fc27 fedora 24 k nspr x86_64 4.17.0-1.fc28 fedora 138 k nss x86_64 3.34.0-2.fc28 fedora 668 k nss-pem x86_64 1.0.3-6.fc28 fedora 77 k nss-softokn x86_64 3.34.0-2.fc28 fedora 391 k nss-softokn-freebl x86_64 3.34.0-2.fc28 fedora 235 k nss-sysinit x86_64 3.34.0-2.fc28 fedora 63 k nss-util x86_64 3.34.0-2.fc28 fedora 89 k ocaml-srpm-macros noarch 5-2.fc27 fedora 7.8 k openblas-srpm-macros noarch 2-2.fc27 fedora 6.6 k openldap x86_64 2.4.45-4.fc28 fedora 356 k openssl-libs x86_64 1:1.1.0g-2.fc28 fedora 1.3 M p11-kit x86_64 0.23.9-2.fc28 fedora 264 k p11-kit-trust x86_64 0.23.9-2.fc28 fedora 134 k pam x86_64 1.3.0-6.fc28 fedora 749 k pcre x86_64 8.41-3.fc28 fedora 204 k pcre2 x86_64 10.30-4.fc28 fedora 234 k perl-srpm-macros noarch 1-24.fc27 fedora 9.3 k pkgconf x86_64 1.3.90-1.fc28 fedora 33 k pkgconf-m4 noarch 1.3.90-1.fc28 fedora 15 k pkgconf-pkg-config x86_64 1.3.90-1.fc28 fedora 13 k popt x86_64 1.16-12.fc28 fedora 59 k publicsuffix-list-dafsa noarch 20171028-1.fc28 fedora 46 k python-srpm-macros noarch 3-24.fc28 fedora 9.9 k python3 x86_64 3.6.3-4.fc28 fedora 68 k python3-libs x86_64 3.6.3-4.fc28 fedora 8.6 M python3-pip noarch 9.0.1-14.fc28 fedora 1.8 M python3-setuptools noarch 37.0.0-1.fc28 fedora 604 k qt5-srpm-macros noarch 5.9.2-1.fc28 fedora 8.8 k readline x86_64 7.0-7.fc27 fedora 217 k rpm x86_64 4.14.0-5.fc28 fedora 530 k rpm-build-libs x86_64 4.14.0-5.fc28 fedora 144 k rpm-libs x86_64 4.14.0-5.fc28 fedora 324 k rpm-plugin-selinux x86_64 4.14.0-5.fc28 fedora 66 k rust-srpm-macros noarch 4-3.fc27 fedora 7.7 k setup noarch 2.11.1-1.fc28 fedora 176 k sqlite-libs x86_64 3.20.1-1.fc28 fedora 537 k systemd-libs x86_64 236-1.fc28 fedora 446 k tzdata noarch 2017c-1.fc28 fedora 444 k xz-libs x86_64 5.2.3-5.fc28 fedora 91 k zip x86_64 3.0-20.fc27 fedora 270 k zlib x86_64 1.2.11-4.fc27 fedora 99 k zstd x86_64 1.3.3-1.fc28 fedora 306 k Transaction Summary ================================================================================ Install 169 Packages Total download size: 125 M Installed size: 480 M Downloading Packages: (1/169): gawk-4.2.0-2.fc28.x86_64.rpm 5.0 MB/s | 1.1 MB 00:00 (2/169): util-linux-2.31-2.fc28.x86_64.rpm 9.3 MB/s | 2.4 MB 00:00 (3/169): unzip-6.0-36.fc27.x86_64.rpm 1.8 MB/s | 189 kB 00:00 (4/169): gcc-c++-7.2.1-4.fc28.x86_64.rpm 21 MB/s | 11 MB 00:00 (5/169): diffutils-3.6-3.fc27.x86_64.rpm 11 MB/s | 354 kB 00:00 (6/169): shadow-utils-4.5-7.fc28.x86_64.rpm 5.4 MB/s | 1.2 MB 00:00 (7/169): gzip-1.8-4.fc27.x86_64.rpm 1.5 MB/s | 160 kB 00:00 (8/169): make-4.2.1-4.fc27.x86_64.rpm 3.2 MB/s | 494 kB 00:00 (9/169): redhat-rpm-config-70-2.fc28.noarch.rpm 1.0 MB/s | 62 kB 00:00 (10/169): bash-4.4.12-13.fc28.x86_64.rpm 9.2 MB/s | 1.5 MB 00:00 (11/169): fedora-release-28-0.1.noarch.rpm 598 kB/s | 25 kB 00:00 (12/169): findutils-4.6.0-14.fc27.x86_64.rpm 7.2 MB/s | 522 kB 00:00 (13/169): gcc-7.2.1-4.fc28.x86_64.rpm 27 MB/s | 21 MB 00:00 (14/169): rpm-build-4.14.0-5.fc28.x86_64.rpm 1.1 MB/s | 160 kB 00:00 (15/169): sed-4.4-3.fc27.x86_64.rpm 1.8 MB/s | 288 kB 00:00 (16/169): grep-3.1-3.fc27.x86_64.rpm 20 MB/s | 270 kB 00:00 (17/169): which-2.21-4.fc27.x86_64.rpm 3.4 MB/s | 46 kB 00:00 (18/169): patch-2.7.5-6.fc27.x86_64.rpm 6.2 MB/s | 123 kB 00:00 (19/169): tar-1.29-7.fc27.x86_64.rpm 21 MB/s | 815 kB 00:00 (20/169): info-6.5-1.fc28.x86_64.rpm 4.9 MB/s | 193 kB 00:00 (21/169): cpio-2.12-6.fc28.x86_64.rpm 5.4 MB/s | 262 kB 00:00 (22/169): coreutils-8.28-2.fc28.x86_64.rpm 22 MB/s | 1.2 MB 00:00 (23/169): xz-5.2.3-5.fc28.x86_64.rpm 2.1 MB/s | 150 kB 00:00 (24/169): bzip2-1.0.6-24.fc27.x86_64.rpm 844 kB/s | 58 kB 00:00 (25/169): filesystem-3.7-1.fc28.x86_64.rpm 13 MB/s | 1.1 MB 00:00 (26/169): gmp-6.1.2-6.fc27.x86_64.rpm 3.2 MB/s | 280 kB 00:00 (27/169): libsigsegv-2.11-3.fc27.x86_64.rpm 392 kB/s | 28 kB 00:00 (28/169): mpfr-3.1.5-5.fc27.x86_64.rpm 3.8 MB/s | 216 kB 00:00 (29/169): readline-7.0-7.fc27.x86_64.rpm 5.6 MB/s | 217 kB 00:00 (30/169): glibc-2.26.9000-34.fc28.x86_64.rpm 15 MB/s | 3.5 MB 00:00 (31/169): libmpc-1.0.2-8.fc27.x86_64.rpm 842 kB/s | 56 kB 00:00 (32/169): libstdc++-7.2.1-4.fc28.x86_64.rpm 5.9 MB/s | 463 kB 00:00 (33/169): audit-libs-2.8.2-1.fc28.x86_64.rpm 3.6 MB/s | 112 kB 00:00 (34/169): zlib-1.2.11-4.fc27.x86_64.rpm 1.4 MB/s | 99 kB 00:00 (35/169): libcap-ng-0.7.8-7.fc28.x86_64.rpm 708 kB/s | 31 kB 00:00 (36/169): libblkid-2.31-2.fc28.x86_64.rpm 3.5 MB/s | 202 kB 00:00 (37/169): libcrypt-2.26.9000-34.fc28.x86_64.rpm 4.3 MB/s | 56 kB 00:00 (38/169): libmount-2.31-2.fc28.x86_64.rpm 16 MB/s | 223 kB 00:00 (39/169): libselinux-2.7-6.fc28.x86_64.rpm 11 MB/s | 174 kB 00:00 (40/169): libfdisk-2.31-2.fc28.x86_64.rpm 6.4 MB/s | 252 kB 00:00 (41/169): libsmartcols-2.31-2.fc28.x86_64.rpm 6.4 MB/s | 165 kB 00:00 (42/169): libutempter-1.1.6-11.fc27.x86_64.rpm 1.4 MB/s | 30 kB 00:00 (43/169): libuuid-2.31-2.fc28.x86_64.rpm 3.6 MB/s | 88 kB 00:00 (44/169): ncurses-libs-6.0-15.20171125.fc28.x86 13 MB/s | 331 kB 00:00 (45/169): pam-1.3.0-6.fc28.x86_64.rpm 20 MB/s | 749 kB 00:00 (46/169): systemd-libs-236-1.fc28.x86_64.rpm 8.3 MB/s | 446 kB 00:00 (47/169): isl-0.16.1-4.fc28.x86_64.rpm 11 MB/s | 835 kB 00:00 (48/169): libgcc-7.2.1-4.fc28.x86_64.rpm 4.0 MB/s | 90 kB 00:00 (49/169): libgomp-7.2.1-4.fc28.x86_64.rpm 6.7 MB/s | 198 kB 00:00 (50/169): binutils-2.29.1-9.fc28.x86_64.rpm 28 MB/s | 6.0 MB 00:00 (51/169): bzip2-libs-1.0.6-24.fc27.x86_64.rpm 1.3 MB/s | 46 kB 00:00 (52/169): libacl-2.2.52-18.fc27.x86_64.rpm 2.5 MB/s | 33 kB 00:00 (53/169): libattr-2.4.47-21.fc27.x86_64.rpm 1.2 MB/s | 25 kB 00:00 (54/169): libsemanage-2.7-5.fc28.x86_64.rpm 11 MB/s | 157 kB 00:00 (55/169): cpp-7.2.1-4.fc28.x86_64.rpm 12 MB/s | 9.2 MB 00:00 (56/169): setup-2.11.1-1.fc28.noarch.rpm 305 kB/s | 176 kB 00:00 (57/169): gc-7.6.0-7.fc27.x86_64.rpm 182 kB/s | 110 kB 00:00 (58/169): annobin-2.5.1-5.fc28.x86_64.rpm 1.2 MB/s | 43 kB 00:00 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Running transaction test Transaction test succeeded. 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46/169 Verifying : binutils-2.29.1-9.fc28.x86_64 47/169 Verifying : cpp-7.2.1-4.fc28.x86_64 48/169 Verifying : isl-0.16.1-4.fc28.x86_64 49/169 Verifying : libgcc-7.2.1-4.fc28.x86_64 50/169 Verifying : libgomp-7.2.1-4.fc28.x86_64 51/169 Verifying : bzip2-libs-1.0.6-24.fc27.x86_64 52/169 Verifying : libacl-2.2.52-18.fc27.x86_64 53/169 Verifying : libattr-2.4.47-21.fc27.x86_64 54/169 Verifying : libsemanage-2.7-5.fc28.x86_64 55/169 Verifying : setup-2.11.1-1.fc28.noarch 56/169 Verifying : gc-7.6.0-7.fc27.x86_64 57/169 Verifying : guile-5:2.0.14-4.fc28.x86_64 58/169 Verifying : annobin-2.5.1-5.fc28.x86_64 59/169 Verifying : cmake-rpm-macros-3.10.1-6.fc28.noarch 60/169 Verifying : dwz-0.12-5.fc27.x86_64 61/169 Verifying : fpc-srpm-macros-1.1-3.fc27.noarch 62/169 Verifying : ghc-srpm-macros-1.4.2-6.fc27.noarch 63/169 Verifying : gnat-srpm-macros-4-4.fc27.noarch 64/169 Verifying : go-srpm-macros-2-10.fc27.noarch 65/169 Verifying : ocaml-srpm-macros-5-2.fc27.noarch 66/169 Verifying : openblas-srpm-macros-2-2.fc27.noarch 67/169 Verifying : perl-srpm-macros-1-24.fc27.noarch 68/169 Verifying : python-srpm-macros-3-24.fc28.noarch 69/169 Verifying : qt5-srpm-macros-5.9.2-1.fc28.noarch 70/169 Verifying : rpm-4.14.0-5.fc28.x86_64 71/169 Verifying : rust-srpm-macros-4-3.fc27.noarch 72/169 Verifying : zip-3.0-20.fc27.x86_64 73/169 Verifying : fedora-repos-28-0.3.noarch 74/169 Verifying : elfutils-0.170-1.fc27.x86_64 75/169 Verifying : elfutils-libelf-0.170-1.fc27.x86_64 76/169 Verifying : elfutils-libs-0.170-1.fc27.x86_64 77/169 Verifying : file-5.32-1.fc28.x86_64 78/169 Verifying : file-libs-5.32-1.fc28.x86_64 79/169 Verifying : gdb-headless-8.0.50.20171213-35.fc28.x86_64 80/169 Verifying : libcap-2.25-7.fc27.x86_64 81/169 Verifying : libdb-5.3.28-29.fc28.x86_64 82/169 Verifying : libzstd-1.3.3-1.fc28.x86_64 83/169 Verifying : lua-libs-5.3.4-7.fc28.x86_64 84/169 Verifying : openssl-libs-1:1.1.0g-2.fc28.x86_64 85/169 Verifying : popt-1.16-12.fc28.x86_64 86/169 Verifying : rpm-build-libs-4.14.0-5.fc28.x86_64 87/169 Verifying : rpm-libs-4.14.0-5.fc28.x86_64 88/169 Verifying : xz-libs-5.2.3-5.fc28.x86_64 89/169 Verifying : zstd-1.3.3-1.fc28.x86_64 90/169 Verifying : pcre-8.41-3.fc28.x86_64 91/169 Verifying : coreutils-common-8.28-2.fc28.x86_64 92/169 Verifying : ncurses-6.0-15.20171125.fc28.x86_64 93/169 Verifying : basesystem-11-4.fc27.noarch 94/169 Verifying : glibc-common-2.26.9000-34.fc28.x86_64 95/169 Verifying : libsepol-2.7-3.fc28.x86_64 96/169 Verifying : pcre2-10.30-4.fc28.x86_64 97/169 Verifying : ncurses-base-6.0-15.20171125.fc28.noarch 98/169 Verifying : cracklib-2.9.6-9.fc28.x86_64 99/169 Verifying : libgcrypt-1.8.2-1.fc28.x86_64 100/169 Verifying : lz4-libs-1.8.0-1.fc28.x86_64 101/169 Verifying : chkconfig-1.10-3.fc27.x86_64 102/169 Verifying : libatomic_ops-7.4.6-3.fc27.x86_64 103/169 Verifying : libffi-3.1-14.fc27.x86_64 104/169 Verifying : libtool-ltdl-2.4.6-20.fc27.x86_64 105/169 Verifying : libunistring-0.9.8-1.fc28.x86_64 106/169 Verifying : libarchive-3.3.1-3.fc27.x86_64 107/169 Verifying : libdb-utils-5.3.28-29.fc28.x86_64 108/169 Verifying : fedora-gpg-keys-28-0.3.noarch 109/169 Verifying : fedora-repos-rawhide-28-0.3.noarch 110/169 Verifying : elfutils-default-yama-scope-0.170-1.fc27.noarch 111/169 Verifying : expat-2.2.5-1.fc28.x86_64 112/169 Verifying : libbabeltrace-1.5.3-1.fc27.x86_64 113/169 Verifying : libipt-1.6.1-4.fc27.x86_64 114/169 Verifying : python3-libs-3.6.3-4.fc28.x86_64 115/169 Verifying : ca-certificates-2017.2.20-2.fc28.noarch 116/169 Verifying : crypto-policies-20171115-1.git921600e.fc28.noarc 117/169 Verifying : gnupg2-2.2.3-1.fc28.x86_64 118/169 Verifying : ima-evm-utils-1.0-3.fc28.x86_64 119/169 Verifying : rpm-plugin-selinux-4.14.0-5.fc28.x86_64 120/169 Verifying : tzdata-2017c-1.fc28.noarch 121/169 Verifying : libgpg-error-1.27-3.fc27.x86_64 122/169 Verifying : libxml2-2.9.5-2.fc28.x86_64 123/169 Verifying : glib2-2.55.0-1.fc28.x86_64 124/169 Verifying : gdbm-1.13-3.fc27.x86_64 125/169 Verifying : sqlite-libs-3.20.1-1.fc28.x86_64 126/169 Verifying : gnutls-3.6.1-3.fc28.x86_64 127/169 Verifying : libassuan-2.5.1-1.fc28.x86_64 128/169 Verifying : libksba-1.3.5-5.fc27.x86_64 129/169 Verifying : libusbx-1.0.21-4.fc27.x86_64 130/169 Verifying : npth-1.5-3.fc27.x86_64 131/169 Verifying : openldap-2.4.45-4.fc28.x86_64 132/169 Verifying : keyutils-libs-1.5.10-3.fc27.x86_64 133/169 Verifying : libidn2-2.0.4-1.fc28.x86_64 134/169 Verifying : libtasn1-4.12-3.fc27.x86_64 135/169 Verifying : nettle-3.4-1.fc28.x86_64 136/169 Verifying : p11-kit-0.23.9-2.fc28.x86_64 137/169 Verifying : cyrus-sasl-lib-2.1.26-35.fc28.x86_64 138/169 Verifying : nspr-4.17.0-1.fc28.x86_64 139/169 Verifying : nss-3.34.0-2.fc28.x86_64 140/169 Verifying : nss-util-3.34.0-2.fc28.x86_64 141/169 Verifying : krb5-libs-1.16-2.x86_64 142/169 Verifying : libcom_err-1.43.7-1.fc28.x86_64 143/169 Verifying : nss-pem-1.0.3-6.fc28.x86_64 144/169 Verifying : nss-softokn-3.34.0-2.fc28.x86_64 145/169 Verifying : nss-sysinit-3.34.0-2.fc28.x86_64 146/169 Verifying : libverto-0.3.0-1.fc28.x86_64 147/169 Verifying : nss-softokn-freebl-3.34.0-2.fc28.x86_64 148/169 Verifying : pkgconf-pkg-config-1.3.90-1.fc28.x86_64 149/169 Verifying : pkgconf-1.3.90-1.fc28.x86_64 150/169 Verifying : pkgconf-m4-1.3.90-1.fc28.noarch 151/169 Verifying : libpkgconf-1.3.90-1.fc28.x86_64 152/169 Verifying : python3-3.6.3-4.fc28.x86_64 153/169 Verifying : python3-pip-9.0.1-14.fc28.noarch 154/169 Verifying : python3-setuptools-37.0.0-1.fc28.noarch 155/169 Verifying : libpwquality-1.4.0-4.fc28.x86_64 156/169 Verifying : p11-kit-trust-0.23.9-2.fc28.x86_64 157/169 Verifying : libstdc++-devel-7.2.1-4.fc28.x86_64 158/169 Verifying : glibc-devel-2.26.9000-34.fc28.x86_64 159/169 Verifying : glibc-headers-2.26.9000-34.fc28.x86_64 160/169 Verifying : kernel-headers-4.15.0-0.rc4.git3.1.fc28.x86_64 161/169 Verifying : curl-7.57.0-1.fc28.x86_64 162/169 Verifying : libmetalink-0.1.3-4.fc27.x86_64 163/169 Verifying : glibc-all-langpacks-2.26.9000-34.fc28.x86_64 164/169 Verifying : libcurl-7.57.0-1.fc28.x86_64 165/169 Verifying : libnghttp2-1.29.0-1.fc28.x86_64 166/169 Verifying : libpsl-0.19.1-1.fc28.x86_64 167/169 Verifying : libssh2-1.8.0-5.fc28.x86_64 168/169 Verifying : publicsuffix-list-dafsa-20171028-1.fc28.noarch 169/169 Installed: bash.x86_64 4.4.12-13.fc28 bzip2.x86_64 1.0.6-24.fc27 coreutils.x86_64 8.28-2.fc28 cpio.x86_64 2.12-6.fc28 diffutils.x86_64 3.6-3.fc27 fedora-release.noarch 28-0.1 findutils.x86_64 1:4.6.0-14.fc27 gawk.x86_64 4.2.0-2.fc28 gcc.x86_64 7.2.1-4.fc28 gcc-c++.x86_64 7.2.1-4.fc28 grep.x86_64 3.1-3.fc27 gzip.x86_64 1.8-4.fc27 info.x86_64 6.5-1.fc28 make.x86_64 1:4.2.1-4.fc27 patch.x86_64 2.7.5-6.fc27 redhat-rpm-config.noarch 70-2.fc28 rpm-build.x86_64 4.14.0-5.fc28 sed.x86_64 4.4-3.fc27 shadow-utils.x86_64 2:4.5-7.fc28 tar.x86_64 2:1.29-7.fc27 unzip.x86_64 6.0-36.fc27 util-linux.x86_64 2.31-2.fc28 which.x86_64 2.21-4.fc27 xz.x86_64 5.2.3-5.fc28 annobin.x86_64 2.5.1-5.fc28 audit-libs.x86_64 2.8.2-1.fc28 basesystem.noarch 11-4.fc27 binutils.x86_64 2.29.1-9.fc28 bzip2-libs.x86_64 1.0.6-24.fc27 ca-certificates.noarch 2017.2.20-2.fc28 chkconfig.x86_64 1.10-3.fc27 cmake-rpm-macros.noarch 3.10.1-6.fc28 coreutils-common.x86_64 8.28-2.fc28 cpp.x86_64 7.2.1-4.fc28 cracklib.x86_64 2.9.6-9.fc28 crypto-policies.noarch 20171115-1.git921600e.fc28 curl.x86_64 7.57.0-1.fc28 cyrus-sasl-lib.x86_64 2.1.26-35.fc28 dwz.x86_64 0.12-5.fc27 elfutils.x86_64 0.170-1.fc27 elfutils-default-yama-scope.noarch 0.170-1.fc27 elfutils-libelf.x86_64 0.170-1.fc27 elfutils-libs.x86_64 0.170-1.fc27 expat.x86_64 2.2.5-1.fc28 fedora-gpg-keys.noarch 28-0.3 fedora-repos.noarch 28-0.3 fedora-repos-rawhide.noarch 28-0.3 file.x86_64 5.32-1.fc28 file-libs.x86_64 5.32-1.fc28 filesystem.x86_64 3.7-1.fc28 fpc-srpm-macros.noarch 1.1-3.fc27 gc.x86_64 7.6.0-7.fc27 gdb-headless.x86_64 8.0.50.20171213-35.fc28 gdbm.x86_64 1.13-3.fc27 ghc-srpm-macros.noarch 1.4.2-6.fc27 glib2.x86_64 2.55.0-1.fc28 glibc.x86_64 2.26.9000-34.fc28 glibc-all-langpacks.x86_64 2.26.9000-34.fc28 glibc-common.x86_64 2.26.9000-34.fc28 glibc-devel.x86_64 2.26.9000-34.fc28 glibc-headers.x86_64 2.26.9000-34.fc28 gmp.x86_64 1:6.1.2-6.fc27 gnat-srpm-macros.noarch 4-4.fc27 gnupg2.x86_64 2.2.3-1.fc28 gnutls.x86_64 3.6.1-3.fc28 go-srpm-macros.noarch 2-10.fc27 guile.x86_64 5:2.0.14-4.fc28 ima-evm-utils.x86_64 1.0-3.fc28 isl.x86_64 0.16.1-4.fc28 kernel-headers.x86_64 4.15.0-0.rc4.git3.1.fc28 keyutils-libs.x86_64 1.5.10-3.fc27 krb5-libs.x86_64 1.16-2 libacl.x86_64 2.2.52-18.fc27 libarchive.x86_64 3.3.1-3.fc27 libassuan.x86_64 2.5.1-1.fc28 libatomic_ops.x86_64 7.4.6-3.fc27 libattr.x86_64 2.4.47-21.fc27 libbabeltrace.x86_64 1.5.3-1.fc27 libblkid.x86_64 2.31-2.fc28 libcap.x86_64 2.25-7.fc27 libcap-ng.x86_64 0.7.8-7.fc28 libcom_err.x86_64 1.43.7-1.fc28 libcrypt.x86_64 2.26.9000-34.fc28 libcurl.x86_64 7.57.0-1.fc28 libdb.x86_64 5.3.28-29.fc28 libdb-utils.x86_64 5.3.28-29.fc28 libfdisk.x86_64 2.31-2.fc28 libffi.x86_64 3.1-14.fc27 libgcc.x86_64 7.2.1-4.fc28 libgcrypt.x86_64 1.8.2-1.fc28 libgomp.x86_64 7.2.1-4.fc28 libgpg-error.x86_64 1.27-3.fc27 libidn2.x86_64 2.0.4-1.fc28 libipt.x86_64 1.6.1-4.fc27 libksba.x86_64 1.3.5-5.fc27 libmetalink.x86_64 0.1.3-4.fc27 libmount.x86_64 2.31-2.fc28 libmpc.x86_64 1.0.2-8.fc27 libnghttp2.x86_64 1.29.0-1.fc28 libpkgconf.x86_64 1.3.90-1.fc28 libpsl.x86_64 0.19.1-1.fc28 libpwquality.x86_64 1.4.0-4.fc28 libselinux.x86_64 2.7-6.fc28 libsemanage.x86_64 2.7-5.fc28 libsepol.x86_64 2.7-3.fc28 libsigsegv.x86_64 2.11-3.fc27 libsmartcols.x86_64 2.31-2.fc28 libssh2.x86_64 1.8.0-5.fc28 libstdc++.x86_64 7.2.1-4.fc28 libstdc++-devel.x86_64 7.2.1-4.fc28 libtasn1.x86_64 4.12-3.fc27 libtool-ltdl.x86_64 2.4.6-20.fc27 libunistring.x86_64 0.9.8-1.fc28 libusbx.x86_64 1.0.21-4.fc27 libutempter.x86_64 1.1.6-11.fc27 libuuid.x86_64 2.31-2.fc28 libverto.x86_64 0.3.0-1.fc28 libxml2.x86_64 2.9.5-2.fc28 libzstd.x86_64 1.3.3-1.fc28 lua-libs.x86_64 5.3.4-7.fc28 lz4-libs.x86_64 1.8.0-1.fc28 mpfr.x86_64 3.1.5-5.fc27 ncurses.x86_64 6.0-15.20171125.fc28 ncurses-base.noarch 6.0-15.20171125.fc28 ncurses-libs.x86_64 6.0-15.20171125.fc28 nettle.x86_64 3.4-1.fc28 npth.x86_64 1.5-3.fc27 nspr.x86_64 4.17.0-1.fc28 nss.x86_64 3.34.0-2.fc28 nss-pem.x86_64 1.0.3-6.fc28 nss-softokn.x86_64 3.34.0-2.fc28 nss-softokn-freebl.x86_64 3.34.0-2.fc28 nss-sysinit.x86_64 3.34.0-2.fc28 nss-util.x86_64 3.34.0-2.fc28 ocaml-srpm-macros.noarch 5-2.fc27 openblas-srpm-macros.noarch 2-2.fc27 openldap.x86_64 2.4.45-4.fc28 openssl-libs.x86_64 1:1.1.0g-2.fc28 p11-kit.x86_64 0.23.9-2.fc28 p11-kit-trust.x86_64 0.23.9-2.fc28 pam.x86_64 1.3.0-6.fc28 pcre.x86_64 8.41-3.fc28 pcre2.x86_64 10.30-4.fc28 perl-srpm-macros.noarch 1-24.fc27 pkgconf.x86_64 1.3.90-1.fc28 pkgconf-m4.noarch 1.3.90-1.fc28 pkgconf-pkg-config.x86_64 1.3.90-1.fc28 popt.x86_64 1.16-12.fc28 publicsuffix-list-dafsa.noarch 20171028-1.fc28 python-srpm-macros.noarch 3-24.fc28 python3.x86_64 3.6.3-4.fc28 python3-libs.x86_64 3.6.3-4.fc28 python3-pip.noarch 9.0.1-14.fc28 python3-setuptools.noarch 37.0.0-1.fc28 qt5-srpm-macros.noarch 5.9.2-1.fc28 readline.x86_64 7.0-7.fc27 rpm.x86_64 4.14.0-5.fc28 rpm-build-libs.x86_64 4.14.0-5.fc28 rpm-libs.x86_64 4.14.0-5.fc28 rpm-plugin-selinux.x86_64 4.14.0-5.fc28 rust-srpm-macros.noarch 4-3.fc27 setup.noarch 2.11.1-1.fc28 sqlite-libs.x86_64 3.20.1-1.fc28 systemd-libs.x86_64 236-1.fc28 tzdata.noarch 2017c-1.fc28 xz-libs.x86_64 5.2.3-5.fc28 zip.x86_64 3.0-20.fc27 zlib.x86_64 1.2.11-4.fc27 zstd.x86_64 1.3.3-1.fc28 Complete! Finish: dnf install Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/tensorflow-1.4.1-1.fc28.src.rpm Finish: rpmbuild -bs Finish: buildsrpm INFO: Done(/tmp/tmpqfywc7d9/tensorflow.spec) Config(child) 1 minutes 37 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: unbuffer /usr/bin/mock --rebuild /var/lib/copr-rpmbuild/results/tensorflow-1.4.1-1.fc28.src.rpm --configdir /var/lib/copr-rpmbuild/results/configs --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1514665880.879986 -r child WARNING: Could not find required logging config file: /var/lib/copr-rpmbuild/results/configs/logging.ini. Using default... INFO: mock.py version 1.3.4 starting (python version = 3.6.3)... Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: compress_logs: initialized Finish: init plugins Start: run INFO: Start(/var/lib/copr-rpmbuild/results/tensorflow-1.4.1-1.fc28.src.rpm) Config(692119-fedora-rawhide-x86_64) Start: clean chroot Finish: clean chroot Start: chroot init INFO: mounting tmpfs at /var/lib/mock/692119-fedora-rawhide-x86_64-1514665880.879986/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled HW Info plugin Mock Version: 1.3.4 INFO: Mock Version: 1.3.4 Start: dnf update 'Additional repo https_copr_be_cloud_fedoraproj 24 kB/s | 1.7 kB 00:00 fedora 24 MB/s | 59 MB 00:02 Failed to synchronize cache for repo 'copr_base', disabling. Last metadata expiration check: 0:00:00 ago on Sat 30 Dec 2017 08:31:27 PM UTC. Dependencies resolved. Nothing to do. Complete! Finish: dnf update Finish: chroot init Start: build phase for tensorflow-1.4.1-1.fc28.src.rpm Start: build setup for tensorflow-1.4.1-1.fc28.src.rpm Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/tensorflow-1.4.1-1.fc28.src.rpm Failed to synchronize cache for repo 'copr_base', disabling. Last metadata expiration check: 0:00:00 ago on Sat 30 Dec 2017 08:31:56 PM UTC. Package gcc-c++-7.2.1-4.fc28.x86_64 is already installed, skipping. Dependencies resolved. ================================================================================ Package Arch Version Repository Size ================================================================================ Installing: bazel x86_64 0.8.1-1.fc27 https_copr_be_cloud_fedoraproject_org_results_vbatts_bazel_fedora_releasever_basearch 82 M jemalloc-devel x86_64 5.0.1-1.fc28 fedora 84 k python2-devel x86_64 2.7.14-4.fc28 fedora 408 k python3-devel x86_64 3.6.3-4.fc28 fedora 866 k python3-numpy x86_64 1:1.14.0-0.rc1.fc28 fedora 3.7 M python3-wheel noarch 0.30.0a0-7.fc27 fedora 87 k zlib-devel x86_64 1.2.11-4.fc27 fedora 56 k Installing dependencies: aajohan-comfortaa-fonts noarch 3.001-1.fc28 fedora 147 k alsa-lib x86_64 1.1.5-1.fc28 fedora 423 k copy-jdk-configs noarch 3.3-2.fc28 fedora 24 k fontconfig x86_64 2.12.91-2.fc28 fedora 260 k fontpackages-filesystem noarch 1.44-19.fc27 fedora 14 k freetype x86_64 2.8-7.fc28 fedora 380 k giflib x86_64 4.1.6-19.fc27 fedora 45 k groff-base x86_64 1.22.3-12.fc28 fedora 1.0 M java-1.8.0-openjdk x86_64 1:1.8.0.151-2.b12.fc28 fedora 240 k java-1.8.0-openjdk-devel x86_64 1:1.8.0.151-2.b12.fc28 fedora 9.8 M java-1.8.0-openjdk-headless x86_64 1:1.8.0.151-2.b12.fc28 fedora 32 M javapackages-tools noarch 5.0.0-9.fc28 fedora 50 k jemalloc x86_64 5.0.1-1.fc28 fedora 189 k libICE x86_64 1.0.9-11.fc27 fedora 71 k libSM x86_64 1.2.2-7.fc27 fedora 43 k libX11 x86_64 1.6.5-5.fc28 fedora 616 k libX11-common noarch 1.6.5-5.fc28 fedora 166 k libXau x86_64 1.0.8-10.fc28 fedora 34 k libXcomposite x86_64 0.4.4-11.fc27 fedora 27 k libXext x86_64 1.3.3-7.fc27 fedora 43 k libXfont x86_64 1.5.2-5.fc28 fedora 156 k libXi x86_64 1.7.9-4.fc27 fedora 45 k libXrender x86_64 0.9.10-4.fc27 fedora 31 k libXtst x86_64 1.2.3-4.fc27 fedora 25 k libfontenc x86_64 1.1.3-6.fc27 fedora 35 k libgfortran x86_64 7.2.1-4.fc28 fedora 535 k libjpeg-turbo x86_64 1.5.3-1.fc28 fedora 153 k libpng x86_64 2:1.6.34-1.fc28 fedora 124 k libquadmath x86_64 7.2.1-4.fc28 fedora 182 k libxcb x86_64 1.12-5.fc27 fedora 224 k lksctp-tools x86_64 1.0.16-8.fc27 fedora 95 k lua x86_64 5.3.4-7.fc28 fedora 190 k lua-posix x86_64 33.3.1-7.fc27 fedora 174 k openblas x86_64 0.2.20-3.fc28 fedora 4.4 M openblas-threads x86_64 0.2.20-3.fc28 fedora 4.5 M perl-Carp noarch 1.42-394.fc27 fedora 28 k perl-Encode x86_64 4:2.93-15.fc28 fedora 1.5 M perl-Errno x86_64 1.28-401.fc28 fedora 71 k perl-Exporter noarch 5.72-395.fc27 fedora 32 k perl-File-Path noarch 2.15-1.fc27 fedora 37 k perl-File-Temp noarch 0.230.400-395.fc28 fedora 61 k perl-Getopt-Long noarch 1:2.50-3.fc27 fedora 61 k perl-HTTP-Tiny noarch 0.070-394.fc27 fedora 56 k perl-IO x86_64 1.38-401.fc28 fedora 136 k perl-MIME-Base64 x86_64 3.15-395.fc27 fedora 29 k perl-PathTools x86_64 3.67-395.fc27 fedora 88 k perl-Pod-Escapes noarch 1:1.07-394.fc27 fedora 19 k perl-Pod-Perldoc noarch 3.28-395.fc27 fedora 87 k perl-Pod-Simple noarch 1:3.35-394.fc27 fedora 211 k perl-Pod-Usage noarch 4:1.69-394.fc27 fedora 33 k perl-Scalar-List-Utils x86_64 3:1.49-1.fc28 fedora 66 k perl-Socket x86_64 4:2.024-5.fc27 fedora 56 k perl-Storable x86_64 1:2.62-395.fc27 fedora 84 k perl-Term-ANSIColor noarch 4.06-395.fc27 fedora 44 k perl-Term-Cap noarch 1.17-394.fc27 fedora 21 k perl-Text-ParseWords noarch 3.30-394.fc27 fedora 16 k perl-Text-Tabs+Wrap noarch 2013.0523-394.fc27 fedora 23 k perl-Time-Local noarch 1:1.250-394.fc27 fedora 30 k perl-Unicode-Normalize x86_64 1.25-395.fc27 fedora 80 k perl-constant noarch 1.33-395.fc27 fedora 24 k perl-interpreter x86_64 4:5.26.1-401.fc28 fedora 6.2 M perl-libs x86_64 4:5.26.1-401.fc28 fedora 1.5 M perl-macros x86_64 4:5.26.1-401.fc28 fedora 67 k perl-parent noarch 1:0.236-394.fc27 fedora 18 k perl-podlators noarch 4.09-394.fc27 fedora 114 k perl-threads x86_64 1:2.16-4.fc27 fedora 59 k perl-threads-shared x86_64 1.57-4.fc27 fedora 46 k python-rpm-macros noarch 3-24.fc28 fedora 10 k python2 x86_64 2.7.14-4.fc28 fedora 100 k python2-libs x86_64 2.7.14-4.fc28 fedora 6.3 M python2-pip noarch 9.0.1-14.fc28 fedora 1.8 M python2-rpm-macros noarch 3-24.fc28 fedora 9.6 k python2-setuptools noarch 37.0.0-1.fc28 fedora 606 k python3-rpm-generators noarch 4.14.0-2.fc28 fedora 25 k python3-rpm-macros noarch 3-24.fc28 fedora 9.7 k ttmkfdir x86_64 3.0.9-51.fc27 fedora 55 k tzdata-java noarch 2017c-1.fc28 fedora 184 k xorg-x11-font-utils x86_64 1:7.5-35.fc27 fedora 83 k xorg-x11-fonts-Type1 noarch 7.5-18.fc27 fedora 521 k Transaction Summary ================================================================================ Install 86 Packages Total download size: 164 M Installed size: 404 M Downloading Packages: (1/86): python3-wheel-0.30.0a0-7.fc27.noarch.rp 587 kB/s | 87 kB 00:00 (2/86): jemalloc-devel-5.0.1-1.fc28.x86_64.rpm 3.9 MB/s | 84 kB 00:00 (3/86): python3-numpy-1.14.0-0.rc1.fc28.x86_64. 19 MB/s | 3.7 MB 00:00 (4/86): python2-devel-2.7.14-4.fc28.x86_64.rpm 9.8 MB/s | 408 kB 00:00 (5/86): python3-devel-3.6.3-4.fc28.x86_64.rpm 31 MB/s | 866 kB 00:00 (6/86): zlib-devel-1.2.11-4.fc27.x86_64.rpm 3.6 MB/s | 56 kB 00:00 (7/86): openblas-0.2.20-3.fc28.x86_64.rpm 33 MB/s | 4.4 MB 00:00 (8/86): openblas-threads-0.2.20-3.fc28.x86_64.r 18 MB/s | 4.5 MB 00:00 (9/86): jemalloc-5.0.1-1.fc28.x86_64.rpm 7.7 MB/s | 189 kB 00:00 (10/86): perl-Getopt-Long-2.50-3.fc27.noarch.rp 4.3 MB/s | 61 kB 00:00 (11/86): perl-PathTools-3.67-395.fc27.x86_64.rp 5.4 MB/s | 88 kB 00:00 (12/86): python-rpm-macros-3-24.fc28.noarch.rpm 641 kB/s | 10 kB 00:00 (13/86): python2-2.7.14-4.fc28.x86_64.rpm 5.7 MB/s | 100 kB 00:00 (14/86): java-1.8.0-openjdk-devel-1.8.0.151-2.b 38 MB/s | 9.8 MB 00:00 (15/86): python2-rpm-macros-3-24.fc28.noarch.rp 666 kB/s | 9.6 kB 00:00 (16/86): python3-rpm-generators-4.14.0-2.fc28.n 438 kB/s | 25 kB 00:00 (17/86): python3-rpm-macros-3-24.fc28.noarch.rp 310 kB/s | 9.7 kB 00:00 (18/86): python2-libs-2.7.14-4.fc28.x86_64.rpm 34 MB/s | 6.3 MB 00:00 (19/86): libgfortran-7.2.1-4.fc28.x86_64.rpm 10 MB/s | 535 kB 00:00 (20/86): java-1.8.0-openjdk-1.8.0.151-2.b12.fc2 13 MB/s | 240 kB 00:00 (21/86): perl-Exporter-5.72-395.fc27.noarch.rpm 1.0 MB/s | 32 kB 00:00 (22/86): libX11-1.6.5-5.fc28.x86_64.rpm 15 MB/s | 616 kB 00:00 (23/86): perl-Pod-Usage-1.69-394.fc27.noarch.rp 878 kB/s | 33 kB 00:00 (24/86): perl-Text-ParseWords-3.30-394.fc27.noa 441 kB/s | 16 kB 00:00 (25/86): perl-constant-1.33-395.fc27.noarch.rpm 2.4 MB/s | 24 kB 00:00 (26/86): perl-Carp-1.42-394.fc27.noarch.rpm 866 kB/s | 28 kB 00:00 (27/86): perl-Scalar-List-Utils-1.49-1.fc28.x86 4.0 MB/s | 66 kB 00:00 (28/86): perl-interpreter-5.26.1-401.fc28.x86_6 33 MB/s | 6.2 MB 00:00 (29/86): perl-libs-5.26.1-401.fc28.x86_64.rpm 9.2 MB/s | 1.5 MB 00:00 (30/86): python2-setuptools-37.0.0-1.fc28.noarc 13 MB/s | 606 kB 00:00 (31/86): libquadmath-7.2.1-4.fc28.x86_64.rpm 9.6 MB/s | 182 kB 00:00 (32/86): python2-pip-9.0.1-14.fc28.noarch.rpm 16 MB/s | 1.8 MB 00:00 (33/86): alsa-lib-1.1.5-1.fc28.x86_64.rpm 19 MB/s | 423 kB 00:00 (34/86): fontconfig-2.12.91-2.fc28.x86_64.rpm 14 MB/s | 260 kB 00:00 (35/86): giflib-4.1.6-19.fc27.x86_64.rpm 3.2 MB/s | 45 kB 00:00 (36/86): libXcomposite-0.4.4-11.fc27.x86_64.rpm 800 kB/s | 27 kB 00:00 (37/86): libXext-1.3.3-7.fc27.x86_64.rpm 1.2 MB/s | 43 kB 00:00 (38/86): libXi-1.7.9-4.fc27.x86_64.rpm 988 kB/s | 45 kB 00:00 (39/86): libXrender-0.9.10-4.fc27.x86_64.rpm 1.4 MB/s | 31 kB 00:00 (40/86): libXtst-1.2.3-4.fc27.x86_64.rpm 754 kB/s | 25 kB 00:00 (41/86): libjpeg-turbo-1.5.3-1.fc28.x86_64.rpm 5.5 MB/s | 153 kB 00:00 (42/86): libpng-1.6.34-1.fc28.x86_64.rpm 4.6 MB/s | 124 kB 00:00 (43/86): xorg-x11-fonts-Type1-7.5-18.fc27.noarc 11 MB/s | 521 kB 00:00 (44/86): libX11-common-1.6.5-5.fc28.noarch.rpm 8.9 MB/s | 166 kB 00:00 (45/86): libxcb-1.12-5.fc27.x86_64.rpm 11 MB/s | 224 kB 00:00 (46/86): perl-Pod-Perldoc-3.28-395.fc27.noarch. 3.8 MB/s | 87 kB 00:00 (47/86): perl-podlators-4.09-394.fc27.noarch.rp 8.0 MB/s | 114 kB 00:00 (48/86): perl-File-Path-2.15-1.fc27.noarch.rpm 2.8 MB/s | 37 kB 00:00 (49/86): perl-IO-1.38-401.fc28.x86_64.rpm 7.5 MB/s | 136 kB 00:00 (50/86): perl-Text-Tabs+Wrap-2013.0523-394.fc27 922 kB/s | 23 kB 00:00 (51/86): perl-Unicode-Normalize-1.25-395.fc27.x 3.0 MB/s | 80 kB 00:00 (52/86): perl-macros-5.26.1-401.fc28.x86_64.rpm 2.2 MB/s | 67 kB 00:00 (53/86): perl-parent-0.236-394.fc27.noarch.rpm 463 kB/s | 18 kB 00:00 (54/86): perl-threads-2.16-4.fc27.x86_64.rpm 3.0 MB/s | 59 kB 00:00 (55/86): perl-threads-shared-1.57-4.fc27.x86_64 1.8 MB/s | 46 kB 00:00 (56/86): fontpackages-filesystem-1.44-19.fc27.n 431 kB/s | 14 kB 00:00 (57/86): freetype-2.8-7.fc28.x86_64.rpm 12 MB/s | 380 kB 00:00 (58/86): libICE-1.0.9-11.fc27.x86_64.rpm 4.9 MB/s | 71 kB 00:00 (59/86): libSM-1.2.2-7.fc27.x86_64.rpm 5.9 MB/s | 43 kB 00:00 (60/86): bazel-0.8.1-1.fc27.x86_64.rpm 38 MB/s | 82 MB 00:02 (61/86): copy-jdk-configs-3.3-2.fc28.noarch.rpm 67 kB/s | 24 kB 00:00 (62/86): lksctp-tools-1.0.16-8.fc27.x86_64.rpm 12 MB/s | 95 kB 00:00 (63/86): java-1.8.0-openjdk-headless-1.8.0.151- 27 MB/s | 32 MB 00:01 (64/86): tzdata-java-2017c-1.fc28.noarch.rpm 1.1 MB/s | 184 kB 00:00 (65/86): ttmkfdir-3.0.9-51.fc27.x86_64.rpm 5.4 MB/s | 55 kB 00:00 (66/86): xorg-x11-font-utils-7.5-35.fc27.x86_64 8.8 MB/s | 83 kB 00:00 (67/86): javapackages-tools-5.0.0-9.fc28.noarch 264 kB/s | 50 kB 00:00 (68/86): libXau-1.0.8-10.fc28.x86_64.rpm 3.4 MB/s | 34 kB 00:00 (69/86): groff-base-1.22.3-12.fc28.x86_64.rpm 33 MB/s | 1.0 MB 00:00 (70/86): perl-File-Temp-0.230.400-395.fc28.noar 1.9 MB/s | 61 kB 00:00 (71/86): perl-HTTP-Tiny-0.070-394.fc27.noarch.r 1.9 MB/s | 56 kB 00:00 (72/86): perl-Pod-Simple-3.35-394.fc27.noarch.r 16 MB/s | 211 kB 00:00 (73/86): perl-Term-Cap-1.17-394.fc27.noarch.rpm 2.8 MB/s | 21 kB 00:00 (74/86): perl-Term-ANSIColor-4.06-395.fc27.noar 5.0 MB/s | 44 kB 00:00 (75/86): perl-Errno-1.28-401.fc28.x86_64.rpm 10 MB/s | 71 kB 00:00 (76/86): perl-Socket-2.024-5.fc27.x86_64.rpm 7.3 MB/s | 56 kB 00:00 (77/86): lua-posix-33.3.1-7.fc27.x86_64.rpm 10 MB/s | 174 kB 00:00 (78/86): libXfont-1.5.2-5.fc28.x86_64.rpm 10 MB/s | 156 kB 00:00 (79/86): libfontenc-1.1.3-6.fc27.x86_64.rpm 2.1 MB/s | 35 kB 00:00 (80/86): perl-MIME-Base64-3.15-395.fc27.x86_64. 1.7 MB/s | 29 kB 00:00 (81/86): perl-Time-Local-1.250-394.fc27.noarch. 1.9 MB/s | 30 kB 00:00 (82/86): perl-Pod-Escapes-1.07-394.fc27.noarch. 501 kB/s | 19 kB 00:00 (83/86): perl-Storable-2.62-395.fc27.x86_64.rpm 2.3 MB/s | 84 kB 00:00 (84/86): lua-5.3.4-7.fc28.x86_64.rpm 13 MB/s | 190 kB 00:00 (85/86): aajohan-comfortaa-fonts-3.001-1.fc28.n 15 MB/s | 147 kB 00:00 (86/86): perl-Encode-2.93-15.fc28.x86_64.rpm 18 MB/s | 1.5 MB 00:00 -------------------------------------------------------------------------------- Total 61 MB/s | 164 MB 00:02 Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Running scriptlet: copy-jdk-configs-3.3-2.fc28.noarch 1/1 Running scriptlet: java-1.8.0-openjdk-headless-1:1.8.0.151-2.b12.fc28.x 1/1 Preparing : 1/1 Installing : perl-Carp-1.42-394.fc27.noarch 1/86 Installing : perl-libs-4:5.26.1-401.fc28.x86_64 2/86 Running scriptlet: perl-libs-4:5.26.1-401.fc28.x86_64 2/86 Installing : perl-Exporter-5.72-395.fc27.noarch 3/86 Installing : perl-Scalar-List-Utils-3:1.49-1.fc28.x86_64 4/86 Installing : perl-Text-ParseWords-3.30-394.fc27.noarch 5/86 Installing : lua-5.3.4-7.fc28.x86_64 6/86 Installing : libfontenc-1.1.3-6.fc27.x86_64 7/86 Running scriptlet: libfontenc-1.1.3-6.fc27.x86_64 7/86 Installing : libICE-1.0.9-11.fc27.x86_64 8/86 Running scriptlet: libICE-1.0.9-11.fc27.x86_64 8/86 Installing : fontpackages-filesystem-1.44-19.fc27.noarch 9/86 Installing : libpng-2:1.6.34-1.fc28.x86_64 10/86 Running scriptlet: libpng-2:1.6.34-1.fc28.x86_64 10/86 Installing : freetype-2.8-7.fc28.x86_64 11/86 Running scriptlet: freetype-2.8-7.fc28.x86_64 11/86 Installing : libjpeg-turbo-1.5.3-1.fc28.x86_64 12/86 Running scriptlet: libjpeg-turbo-1.5.3-1.fc28.x86_64 12/86 Installing : python3-rpm-generators-4.14.0-2.fc28.noarch 13/86 Installing : python2-libs-2.7.14-4.fc28.x86_64 14/86 Running scriptlet: python2-libs-2.7.14-4.fc28.x86_64 14/86 Installing : python2-pip-9.0.1-14.fc28.noarch 15/86 Installing : python2-setuptools-37.0.0-1.fc28.noarch 16/86 Installing : python2-2.7.14-4.fc28.x86_64 17/86 Installing : python-rpm-macros-3-24.fc28.noarch 18/86 Installing : ttmkfdir-3.0.9-51.fc27.x86_64 19/86 Installing : libXfont-1.5.2-5.fc28.x86_64 20/86 Running scriptlet: libXfont-1.5.2-5.fc28.x86_64 20/86 Installing : xorg-x11-font-utils-1:7.5-35.fc27.x86_64 21/86 Installing : aajohan-comfortaa-fonts-3.001-1.fc28.noarch 22/86 Installing : fontconfig-2.12.91-2.fc28.x86_64 23/86 Running scriptlet: fontconfig-2.12.91-2.fc28.x86_64 23/86 Installing : xorg-x11-fonts-Type1-7.5-18.fc27.noarch 24/86 Running scriptlet: xorg-x11-fonts-Type1-7.5-18.fc27.noarch 24/86 Installing : libSM-1.2.2-7.fc27.x86_64 25/86 Running scriptlet: libSM-1.2.2-7.fc27.x86_64 25/86 Installing : lua-posix-33.3.1-7.fc27.x86_64 26/86 Installing : copy-jdk-configs-3.3-2.fc28.noarch 27/86 Installing : perl-Term-ANSIColor-4.06-395.fc27.noarch 28/86 Installing : perl-macros-4:5.26.1-401.fc28.x86_64 29/86 Installing : perl-constant-1.33-395.fc27.noarch 30/86 Installing : perl-File-Path-2.15-1.fc27.noarch 31/86 Installing : perl-Text-Tabs+Wrap-2013.0523-394.fc27.noarch 32/86 Installing : perl-Unicode-Normalize-1.25-395.fc27.x86_64 33/86 Installing : perl-parent-1:0.236-394.fc27.noarch 34/86 Installing : perl-threads-shared-1.57-4.fc27.x86_64 35/86 Installing : perl-threads-1:2.16-4.fc27.x86_64 36/86 Installing : perl-Errno-1.28-401.fc28.x86_64 37/86 Installing : perl-Socket-4:2.024-5.fc27.x86_64 38/86 Installing : perl-interpreter-4:5.26.1-401.fc28.x86_64 39/86 Installing : perl-PathTools-3.67-395.fc27.x86_64 40/86 Installing : perl-IO-1.38-401.fc28.x86_64 41/86 Installing : perl-MIME-Base64-3.15-395.fc27.x86_64 42/86 Installing : perl-File-Temp-0.230.400-395.fc28.noarch 43/86 Installing : perl-Storable-1:2.62-395.fc27.x86_64 44/86 Installing : perl-Term-Cap-1.17-394.fc27.noarch 45/86 Installing : perl-Pod-Escapes-1:1.07-394.fc27.noarch 46/86 Installing : perl-Time-Local-1:1.250-394.fc27.noarch 47/86 Installing : perl-HTTP-Tiny-0.070-394.fc27.noarch 48/86 Installing : groff-base-1.22.3-12.fc28.x86_64 49/86 Installing : perl-Pod-Usage-4:1.69-394.fc27.noarch 50/86 Installing : perl-Getopt-Long-1:2.50-3.fc27.noarch 51/86 Installing : perl-Encode-4:2.93-15.fc28.x86_64 52/86 Installing : perl-Pod-Simple-1:3.35-394.fc27.noarch 53/86 Installing : perl-podlators-4.09-394.fc27.noarch 54/86 Installing : perl-Pod-Perldoc-3.28-395.fc27.noarch 55/86 Installing : libXau-1.0.8-10.fc28.x86_64 56/86 Running scriptlet: libXau-1.0.8-10.fc28.x86_64 56/86 Installing : libxcb-1.12-5.fc27.x86_64 57/86 Running scriptlet: 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Installing : python3-rpm-macros-3-24.fc28.noarch 77/86 Installing : python2-rpm-macros-3-24.fc28.noarch 78/86 Installing : jemalloc-5.0.1-1.fc28.x86_64 79/86 Running scriptlet: jemalloc-5.0.1-1.fc28.x86_64 79/86 Installing : jemalloc-devel-5.0.1-1.fc28.x86_64 80/86 Installing : python2-devel-2.7.14-4.fc28.x86_64 81/86 Installing : python3-devel-3.6.3-4.fc28.x86_64 82/86 Installing : python3-numpy-1:1.14.0-0.rc1.fc28.x86_64 83/86 Installing : bazel-0.8.1-1.fc27.x86_64 84/86 Installing : zlib-devel-1.2.11-4.fc27.x86_64 85/86 Installing : python3-wheel-0.30.0a0-7.fc27.noarch 86/86 Running scriptlet: copy-jdk-configs-3.3-2.fc28.noarch 86/86 Running scriptlet: java-1.8.0-openjdk-1:1.8.0.151-2.b12.fc28.x86_64 86/86 Running scriptlet: java-1.8.0-openjdk-devel-1:1.8.0.151-2.b12.fc28.x8 86/86 Running scriptlet: fontconfig-2.12.91-2.fc28.x86_64 86/86 Verifying : python3-numpy-1:1.14.0-0.rc1.fc28.x86_64 1/86 Verifying : python3-wheel-0.30.0a0-7.fc27.noarch 2/86 Verifying : 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Verifying : freetype-2.8-7.fc28.x86_64 59/86 Verifying : libICE-1.0.9-11.fc27.x86_64 60/86 Verifying : libSM-1.2.2-7.fc27.x86_64 61/86 Verifying : copy-jdk-configs-3.3-2.fc28.noarch 62/86 Verifying : javapackages-tools-5.0.0-9.fc28.noarch 63/86 Verifying : lksctp-tools-1.0.16-8.fc27.x86_64 64/86 Verifying : tzdata-java-2017c-1.fc28.noarch 65/86 Verifying : ttmkfdir-3.0.9-51.fc27.x86_64 66/86 Verifying : xorg-x11-font-utils-1:7.5-35.fc27.x86_64 67/86 Verifying : libXau-1.0.8-10.fc28.x86_64 68/86 Verifying : groff-base-1.22.3-12.fc28.x86_64 69/86 Verifying : perl-File-Temp-0.230.400-395.fc28.noarch 70/86 Verifying : perl-HTTP-Tiny-0.070-394.fc27.noarch 71/86 Verifying : perl-Pod-Simple-1:3.35-394.fc27.noarch 72/86 Verifying : perl-Term-ANSIColor-4.06-395.fc27.noarch 73/86 Verifying : perl-Term-Cap-1.17-394.fc27.noarch 74/86 Verifying : perl-Errno-1.28-401.fc28.x86_64 75/86 Verifying : perl-Socket-4:2.024-5.fc27.x86_64 76/86 Verifying : lua-posix-33.3.1-7.fc27.x86_64 77/86 Verifying : libXfont-1.5.2-5.fc28.x86_64 78/86 Verifying : libfontenc-1.1.3-6.fc27.x86_64 79/86 Verifying : perl-MIME-Base64-3.15-395.fc27.x86_64 80/86 Verifying : perl-Time-Local-1:1.250-394.fc27.noarch 81/86 Verifying : perl-Pod-Escapes-1:1.07-394.fc27.noarch 82/86 Verifying : perl-Encode-4:2.93-15.fc28.x86_64 83/86 Verifying : perl-Storable-1:2.62-395.fc27.x86_64 84/86 Verifying : lua-5.3.4-7.fc28.x86_64 85/86 Verifying : aajohan-comfortaa-fonts-3.001-1.fc28.noarch 86/86 Installed: bazel.x86_64 0.8.1-1.fc27 jemalloc-devel.x86_64 5.0.1-1.fc28 python2-devel.x86_64 2.7.14-4.fc28 python3-devel.x86_64 3.6.3-4.fc28 python3-numpy.x86_64 1:1.14.0-0.rc1.fc28 python3-wheel.noarch 0.30.0a0-7.fc27 zlib-devel.x86_64 1.2.11-4.fc27 aajohan-comfortaa-fonts.noarch 3.001-1.fc28 alsa-lib.x86_64 1.1.5-1.fc28 copy-jdk-configs.noarch 3.3-2.fc28 fontconfig.x86_64 2.12.91-2.fc28 fontpackages-filesystem.noarch 1.44-19.fc27 freetype.x86_64 2.8-7.fc28 giflib.x86_64 4.1.6-19.fc27 groff-base.x86_64 1.22.3-12.fc28 java-1.8.0-openjdk.x86_64 1:1.8.0.151-2.b12.fc28 java-1.8.0-openjdk-devel.x86_64 1:1.8.0.151-2.b12.fc28 java-1.8.0-openjdk-headless.x86_64 1:1.8.0.151-2.b12.fc28 javapackages-tools.noarch 5.0.0-9.fc28 jemalloc.x86_64 5.0.1-1.fc28 libICE.x86_64 1.0.9-11.fc27 libSM.x86_64 1.2.2-7.fc27 libX11.x86_64 1.6.5-5.fc28 libX11-common.noarch 1.6.5-5.fc28 libXau.x86_64 1.0.8-10.fc28 libXcomposite.x86_64 0.4.4-11.fc27 libXext.x86_64 1.3.3-7.fc27 libXfont.x86_64 1.5.2-5.fc28 libXi.x86_64 1.7.9-4.fc27 libXrender.x86_64 0.9.10-4.fc27 libXtst.x86_64 1.2.3-4.fc27 libfontenc.x86_64 1.1.3-6.fc27 libgfortran.x86_64 7.2.1-4.fc28 libjpeg-turbo.x86_64 1.5.3-1.fc28 libpng.x86_64 2:1.6.34-1.fc28 libquadmath.x86_64 7.2.1-4.fc28 libxcb.x86_64 1.12-5.fc27 lksctp-tools.x86_64 1.0.16-8.fc27 lua.x86_64 5.3.4-7.fc28 lua-posix.x86_64 33.3.1-7.fc27 openblas.x86_64 0.2.20-3.fc28 openblas-threads.x86_64 0.2.20-3.fc28 perl-Carp.noarch 1.42-394.fc27 perl-Encode.x86_64 4:2.93-15.fc28 perl-Errno.x86_64 1.28-401.fc28 perl-Exporter.noarch 5.72-395.fc27 perl-File-Path.noarch 2.15-1.fc27 perl-File-Temp.noarch 0.230.400-395.fc28 perl-Getopt-Long.noarch 1:2.50-3.fc27 perl-HTTP-Tiny.noarch 0.070-394.fc27 perl-IO.x86_64 1.38-401.fc28 perl-MIME-Base64.x86_64 3.15-395.fc27 perl-PathTools.x86_64 3.67-395.fc27 perl-Pod-Escapes.noarch 1:1.07-394.fc27 perl-Pod-Perldoc.noarch 3.28-395.fc27 perl-Pod-Simple.noarch 1:3.35-394.fc27 perl-Pod-Usage.noarch 4:1.69-394.fc27 perl-Scalar-List-Utils.x86_64 3:1.49-1.fc28 perl-Socket.x86_64 4:2.024-5.fc27 perl-Storable.x86_64 1:2.62-395.fc27 perl-Term-ANSIColor.noarch 4.06-395.fc27 perl-Term-Cap.noarch 1.17-394.fc27 perl-Text-ParseWords.noarch 3.30-394.fc27 perl-Text-Tabs+Wrap.noarch 2013.0523-394.fc27 perl-Time-Local.noarch 1:1.250-394.fc27 perl-Unicode-Normalize.x86_64 1.25-395.fc27 perl-constant.noarch 1.33-395.fc27 perl-interpreter.x86_64 4:5.26.1-401.fc28 perl-libs.x86_64 4:5.26.1-401.fc28 perl-macros.x86_64 4:5.26.1-401.fc28 perl-parent.noarch 1:0.236-394.fc27 perl-podlators.noarch 4.09-394.fc27 perl-threads.x86_64 1:2.16-4.fc27 perl-threads-shared.x86_64 1.57-4.fc27 python-rpm-macros.noarch 3-24.fc28 python2.x86_64 2.7.14-4.fc28 python2-libs.x86_64 2.7.14-4.fc28 python2-pip.noarch 9.0.1-14.fc28 python2-rpm-macros.noarch 3-24.fc28 python2-setuptools.noarch 37.0.0-1.fc28 python3-rpm-generators.noarch 4.14.0-2.fc28 python3-rpm-macros.noarch 3-24.fc28 ttmkfdir.x86_64 3.0.9-51.fc27 tzdata-java.noarch 2017c-1.fc28 xorg-x11-font-utils.x86_64 1:7.5-35.fc27 xorg-x11-fonts-Type1.noarch 7.5-18.fc27 Complete! Finish: build setup for tensorflow-1.4.1-1.fc28.src.rpm Start: rpmbuild tensorflow-1.4.1-1.fc28.src.rpm Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.9r3EJg + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf tensorflow-1.4.1 + /usr/bin/gzip -dc /builddir/build/SOURCES/v1.4.1.tar.gz + /usr/bin/tar -xof - + STATUS=0 + '[' 0 -ne 0 ']' + cd tensorflow-1.4.1 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + echo 'Patch #0 (change-env-python-to-env-python3.patch):' Patch #0 (change-env-python-to-env-python3.patch): + /usr/bin/patch --no-backup-if-mismatch -p1 --fuzz=0 patching file tensorflow/tools/build_info/gen_build_info.py patching file tensorflow/tools/ci_build/windows/bazel/common_env.sh patching file tensorflow/tools/git/gen_git_source.py patching file third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl patching file third_party/sycl/crosstool/computecpp.tpl + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.1CvZi3 + umask 022 + cd /builddir/build/BUILD + cd tensorflow-1.4.1 + export LANG=en_US.UTF-8 + LANG=en_US.UTF-8 + export PYTHON_BIN_PATH=/usr/bin/python3 + PYTHON_BIN_PATH=/usr/bin/python3 + export PYTHON_LIB_PATH=/usr/lib64/python3.6/site-packages + PYTHON_LIB_PATH=/usr/lib64/python3.6/site-packages + export TF_NEED_JEMALLOC=1 + TF_NEED_JEMALLOC=1 + export TF_NEED_S3=0 + TF_NEED_S3=0 + export TF_NEED_GCP=0 + TF_NEED_GCP=0 + export TF_NEED_OPENCL=0 + TF_NEED_OPENCL=0 + export TF_ENABLE_XLA=0 + TF_ENABLE_XLA=0 + export TF_NEED_GDR=0 + TF_NEED_GDR=0 + export TF_NEED_VERBS=0 + TF_NEED_VERBS=0 + export TF_NEED_MPI=0 + TF_NEED_MPI=0 + export TF_NEED_CUDA=0 + TF_NEED_CUDA=0 + export TF_NEED_HDFS=0 + TF_NEED_HDFS=0 + export CC_OPT_FLAGS=-march=native + CC_OPT_FLAGS=-march=native + ./configure Extracting Bazel installation... You have bazel 0.8.1- (@non-git) installed. Add "--config=mkl" to your bazel command to build with MKL support. Please note that MKL on MacOS or windows is still not supported. If you would like to use a local MKL instead of downloading, please set the environment variable "TF_MKL_ROOT" every time before build. Configuration finished + bazel build --action_env PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin:/builddir/.local/bin:/builddir/bin --verbose_failures //tensorflow/tools/pip_package:build_pip_package .............. Loading: Loading: 0 packages loaded Loading: 0 packages loaded Analyzing: target //tensorflow/tools/pip_package:build_pip_package (3 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (5 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (6 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (6 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (14 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (50 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (62 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (86 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (95 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (101 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (104 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (107 packages loaded) WARNING: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/core/BUILD:1781:1: in includes attribute of cc_library rule //tensorflow/core:framework_headers_lib: '../../external/nsync/public' resolves to 'external/nsync/public' not below the relative path of its package 'tensorflow/core'. This will be an error in the future. Since this rule was created by the macro 'cc_header_only_library', the error might have been caused by the macro implementation in /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/tensorflow.bzl:1047:30 Analyzing: target //tensorflow/tools/pip_package:build_pip_package (115 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (117 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (121 packages loaded) WARNING: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/contrib/learn/BUILD:15:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:exporter': No longer supported. Switch to SavedModel immediately. WARNING: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/contrib/learn/BUILD:15:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:gc': No longer supported. Switch to SavedModel immediately. INFO: Analysed target //tensorflow/tools/pip_package:build_pip_package (203 packages loaded). INFO: Found 1 target... [0 / 3] BazelWorkspaceStatusAction stable-status.txt [10 / 14] Compiling external/protobuf_archive/src/google/protobuf/util/internal/protostream_objectsource.cc [for host]; 2s local [20 / 24] Compiling external/protobuf_archive/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc [for host]; 1s local [29 / 33] Compiling external/protobuf_archive/src/google/protobuf/compiler/objectivec/objectivec_message_field.cc [for host]; 0s local ... (2 actions running) [39 / 43] Compiling external/protobuf_archive/src/google/protobuf/struct.pb.cc [for host]; 2s local ... (2 actions running) [49 / 53] Compiling external/protobuf_archive/src/google/protobuf/descriptor.cc [for host]; 2s local ... (2 actions running) [57 / 61] Compiling external/protobuf_archive/src/google/protobuf/map_field.cc [for host]; 2s local ... (2 actions running) [70 / 74] Compiling external/protobuf_archive/src/google/protobuf/compiler/javanano/javanano_message.cc [for host]; 1s local ... (2 actions running) [83 / 87] Compiling external/protobuf_archive/src/google/protobuf/compiler/java/java_file.cc [for host]; 1s local ... (2 actions running) [103 / 111] Compiling external/protobuf_archive/src/google/protobuf/compiler/csharp/csharp_message.cc [for host]; 0s local ... (2 actions running) [122 / 129] Compiling external/protobuf_archive/src/google/protobuf/compiler/objectivec/objectivec_field.cc [for host]; 1s local ... (2 actions running) [150 / 154] Compiling external/protobuf_archive/src/google/protobuf/type.pb.cc [for host]; 2s local ... (2 actions running) [177 / 181] Compiling external/protobuf_archive/src/google/protobuf/compiler/parser.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling tensorflow/core/framework/op_kernel.cc [for host]: tensorflow/core/framework/op_kernel.cc:956:8: warning: 'tensorflow::Status tensorflow::{anonymous}::FindKernelRegistration(const tensorflow::DeviceType&, const tensorflow::Node&, const tensorflow::KernelRegistration**, bool*)' defined but not used [-Wunused-function] Status FindKernelRegistration(const DeviceType& device_type, const Node& node, ^~~~~~~~~~~~~~~~~~~~~~ [278 / 308] Compiling external/nasm/eval.c [for host]; 0s local ... (2 actions running) INFO: From Compiling external/snappy/snappy-c.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ [338 / 343] Compiling tensorflow/core/framework/attr_value_util.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/lookup_util.cc [for host]: tensorflow/core/kernels/lookup_util.cc: In member function 'virtual void tensorflow::lookup::{anonymous}::TextFileLineIterator::Next()': tensorflow/core/kernels/lookup_util.cc:134:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (std::max(key_index_, value_index_) >= tokens.size()) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/lookup_util.h:19, from tensorflow/core/kernels/lookup_util.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/lib/strings/numbers.cc [for host]: tensorflow/core/lib/strings/numbers.cc: In function 'std::__cxx11::string tensorflow::strings::HumanReadableNumBytes(tensorflow::int64)': tensorflow/core/lib/strings/numbers.cc:424:8: warning: '%lld' directive output may be truncated writing between 1 and 19 bytes into a region of size between 7 and 8 [-Wformat-truncation=] string HumanReadableNumBytes(int64 num_bytes) { ^~~~~~~~~~~~~~~~~~~~~ tensorflow/core/lib/strings/numbers.cc:424:8: note: directive argument in the range [0, 9223372036854775807] In file included from /usr/include/stdio.h:862:0, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/cstdio:42, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/ext/string_conversions.h:43, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/bits/basic_string.h:6347, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/string:52, from ./tensorflow/core/lib/strings/numbers.h:19, from tensorflow/core/lib/strings/numbers.cc:15: /usr/include/bits/stdio2.h:65:44: note: '__builtin_snprintf' output between 3 and 22 bytes into a destination of size 8 __bos (__s), __fmt, __va_arg_pack ()); ^ [377 / 382] Compiling tensorflow/core/lib/io/zlib_inputstream.cc [for host]; 0s local ... (2 actions running) [427 / 432] Compiling external/protobuf_archive/src/google/protobuf/message.cc [for host]; 1s local ... (2 actions running) [471 / 476] Compiling tensorflow/stream_executor/dnn.cc [for host]; 0s local ... (2 actions running) [516 / 521] Compiling tensorflow/core/framework/rendezvous.cc [for host]; 1s local ... (2 actions running) INFO: From Compiling tensorflow/core/common_runtime/gpu/process_state.cc [for host]: tensorflow/core/common_runtime/gpu/process_state.cc:62:6: warning: 'bool tensorflow::{anonymous}::useCudaMemoryGuardAllocator()' defined but not used [-Wunused-function] bool useCudaMemoryGuardAllocator() { ^~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/common_runtime/gpu/process_state.cc:53:6: warning: 'bool tensorflow::{anonymous}::useCudaMallocAllocator()' defined but not used [-Wunused-function] bool useCudaMallocAllocator() { ^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/protobuf/config.pb_text.cc [for host]: bazel-out/host/genfiles/tensorflow/core/protobuf/config.pb_text.cc: In function 'bool tensorflow::internal::ProtoParseFromScanner(tensorflow::strings::Scanner*, bool, bool, tensorflow::ConfigProto*)': bazel-out/host/genfiles/tensorflow/core/protobuf/config.pb_text.cc:628:23: warning: 'map_value' may be used uninitialized in this function [-Wmaybe-uninitialized] (*map)[map_key] = map_value; bazel-out/host/genfiles/tensorflow/core/protobuf/config.pb_text.cc:619:9: note: 'map_value' was declared here int32 map_value; ^~~~~~~~~ [582 / 587] Compiling tensorflow/stream_executor/stream.cc [for host]; 4s local ... (2 actions running) INFO: From Compiling tensorflow/stream_executor/stream.cc [for host]: tensorflow/stream_executor/stream.cc: In function 'std::__cxx11::string perftools::gputools::{anonymous}::ToVlogString(perftools::gputools::dnn::DataType)': tensorflow/stream_executor/stream.cc:184:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ INFO: From Compiling tensorflow/stream_executor/stream_executor_pimpl.cc [for host]: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/stream_executor/lib/status.h:21, from ./tensorflow/stream_executor/stream_executor_pimpl.h:25, from tensorflow/stream_executor/stream_executor_pimpl.cc:20: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = int; T2 = long long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/stream_executor/stream_executor_pimpl.cc:628:3: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^~~~~~~~~~~~~~~~~~~~~~~ [646 / 651] Compiling tensorflow/core/common_runtime/copy_tensor.cc [for host]; 1s local ... (2 actions running) INFO: From Compiling external/snappy/snappy-stubs-internal.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling tensorflow/core/kernels/initializable_lookup_table.cc [for host]: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/initializable_lookup_table.h:19, from tensorflow/core/kernels/initializable_lookup_table.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [733 / 738] Compiling tensorflow/core/common_runtime/accumulate_n_optimizer.cc [for host]; 4s local ... (2 actions running) [834 / 839] Compiling tensorflow/core/framework/log_memory.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling external/snappy/snappy-sinksource.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling external/snappy/snappy.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ external/snappy/snappy.cc: In member function 'void snappy::SnappySinkAllocator::Flush(size_t)': external/snappy/snappy.cc:1403:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < blocks_.size(); ++i) { ~~^~~~~~~~~~~~~~~~ In file included from external/snappy/snappy-internal.h:34:0, from external/snappy/snappy.cc:30: external/snappy/snappy.cc: In instantiation of 'bool snappy::SnappyScatteredWriter::AppendFromSelf(size_t, size_t) [with Allocator = snappy::SnappySinkAllocator; size_t = long unsigned int]': external/snappy/snappy.cc:715:13: required from 'void snappy::SnappyDecompressor::DecompressAllTags(Writer*) [with Writer = snappy::SnappyScatteredWriter]' external/snappy/snappy.cc:799:3: required from 'bool snappy::InternalUncompressAllTags(snappy::SnappyDecompressor*, Writer*, snappy::uint32) [with Writer = snappy::SnappyScatteredWriter; snappy::uint32 = unsigned int]' external/snappy/snappy.cc:1460:78: required from here external/snappy/snappy.cc:1316:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (PREDICT_TRUE(offset - 1u < op_ptr_ - op_base_ && op_end <= op_limit_)) { ~~~~~~~~~~~~^~~~~~~~~~~~~ external/snappy/snappy-stubs-internal.h:80:25: note: in definition of macro 'PREDICT_TRUE' #define PREDICT_TRUE(x) x ^ INFO: From Compiling tensorflow/python/eager/python_eager_op_gen.cc [for host]: tensorflow/python/eager/python_eager_op_gen.cc: In function 'std::__cxx11::string tensorflow::{anonymous}::VectorToTuple(const std::vector >&)': tensorflow/python/eager/python_eager_op_gen.cc:61:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < l.size(); ++i) { ~~^~~~~~~~~~ tensorflow/python/eager/python_eager_op_gen.cc: In function 'void tensorflow::{anonymous}::Unflatten(const string&, const std::vector >&, const string&, std::__cxx11::string*)': tensorflow/python/eager/python_eager_op_gen.cc:73:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < output_sizes.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~ tensorflow/python/eager/python_eager_op_gen.cc:77:17: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (i + 1 < output_sizes.size()) { ~~~~~~^~~~~~~~~~~~~~~~~~~~~ tensorflow/python/eager/python_eager_op_gen.cc: In member function 'virtual std::__cxx11::string tensorflow::{anonymous}::GenEagerPythonOp::Code()': tensorflow/python/eager/python_eager_op_gen.cc:323:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < attrs_.size(); ++i) { ~~^~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/core/example/example.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. [1,088 / 1,097] Compiling tensorflow/contrib/image/ops/distort_image_ops.cc; 1s local ... (2 actions running) INFO: From Compiling tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc [for host]: tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc:31:8: warning: 'std::__cxx11::string tensorflow::{anonymous}::GetAllActivationModeAttrString()' defined but not used [-Wunused-function] string GetAllActivationModeAttrString() { return "activation_mode: {'Relu'}"; } ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/decision_trees/proto/generic_tree_model_extensions.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/tensor_forest/proto/tensor_forest_params.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/tensor_forest/proto/fertile_stats.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/decision_trees/proto/generic_tree_model.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/batching/kernels/batch_kernels.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/contrib/batching/batch_scheduler.h:37, from ./tensorflow/contrib/batching/shared_batch_scheduler.h:28, from tensorflow/contrib/batching/kernels/batch_kernels.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from tensorflow/contrib/batching/kernels/batch_kernels.cc:16:0: ./tensorflow/contrib/batching/shared_batch_scheduler.h: In instantiation of 'bool tensorflow::serving::internal::Queue::IsOpenBatchSchedulable() const [with TaskType = tensorflow::BatchResource::BatchTask]': ./tensorflow/contrib/batching/shared_batch_scheduler.h:594:55: required from 'std::unique_ptr > tensorflow::serving::internal::Queue::ScheduleBatch() [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:465:24: required from 'void tensorflow::serving::SharedBatchScheduler::ThreadLogic() [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:437:24: required from 'tensorflow::serving::SharedBatchScheduler::SharedBatchScheduler(const tensorflow::serving::SharedBatchScheduler::Options&):: [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:437:10: required from 'struct tensorflow::serving::SharedBatchScheduler::SharedBatchScheduler(const tensorflow::serving::SharedBatchScheduler::Options&) [with TaskType = tensorflow::BatchResource::BatchTask]::' ./tensorflow/contrib/batching/shared_batch_scheduler.h:436:46: required from 'tensorflow::serving::SharedBatchScheduler::SharedBatchScheduler(const tensorflow::serving::SharedBatchScheduler::Options&) [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:362:20: required from 'static tensorflow::Status tensorflow::serving::SharedBatchScheduler::Create(const tensorflow::serving::SharedBatchScheduler::Options&, std::shared_ptr >*) [with TaskType = tensorflow::BatchResource::BatchTask]' tensorflow/contrib/batching/kernels/batch_kernels.cc:217:5: required from here ./tensorflow/contrib/batching/shared_batch_scheduler.h:664:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return closed_ || open_batch->size() >= options_.max_batch_size || ./tensorflow/contrib/batching/shared_batch_scheduler.h: In instantiation of 'tensorflow::Status tensorflow::serving::internal::Queue::Schedule(std::unique_ptr*) [with TaskType = tensorflow::BatchResource::BatchTask]': ./tensorflow/contrib/batching/shared_batch_scheduler.h:682:31: required from 'tensorflow::Status tensorflow::serving::internal::QueueHandle::Schedule(std::unique_ptr*) [with TaskType = tensorflow::BatchResource::BatchTask]' tensorflow/contrib/batching/kernels/batch_kernels.cc:997:1: required from here ./tensorflow/contrib/batching/shared_batch_scheduler.h:523:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((*task)->size() > options_.max_batch_size) { ./tensorflow/contrib/batching/shared_batch_scheduler.h:535:51: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (batches_.back()->size() + (*task)->size() > options_.max_batch_size) { ./tensorflow/contrib/batching/shared_batch_scheduler.h:536:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (batches_.size() >= options_.max_enqueued_batches) { tensorflow/contrib/batching/kernels/batch_kernels.cc: In member function 'tensorflow::Status tensorflow::BatchResource::RegisterInput(tensorflow::int64, tensorflow::OpKernelContext*, const string&, tensorflow::AsyncOpKernel::DoneCallback)': tensorflow/contrib/batching/kernels/batch_kernels.cc:261:53: warning: 'batcher_queue' may be used uninitialized in this function [-Wmaybe-uninitialized] return batcher_queue->Schedule(&batch_components); ^ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc: tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc: In member function 'void tensorflow::tensorforest::TensorDataSet::RandomSample(int, tensorflow::decision_trees::FeatureId*, float*, int*) const': tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc:136:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rand_feature < available_features_.size()) { // it's dense. ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc:141:28: warning: 'sparse_input_start' may be used uninitialized in this function [-Wmaybe-uninitialized] sparse_input_start + rand_feature - input_spec_.dense_features_size(); ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/model_ops.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:21, from tensorflow/contrib/tensor_forest/kernels/model_ops.cc:19: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/model_ops.cc: In member function 'virtual void tensorflow::tensorforest::TreePredictionsV4Op::Compute(tensorflow::OpKernelContext*)': tensorflow/contrib/tensor_forest/kernels/model_ops.cc:233:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < tree_paths.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from tensorflow/contrib/tensor_forest/kernels/model_ops.cc:18: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.cc: tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.cc: In member function 'virtual tensorflow::int32 tensorflow::tensorforest::ObliqueInequalityDecisionNodeEvaluator::Decide(const std::unique_ptr&, int) const': tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.cc:85:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < feature_num_.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:21, from tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc: In member function 'void tensorflow::tensorforest::DecisionTreeResource::SplitNode(tensorflow::int32, tensorflow::tensorforest::SplitCandidate*, std::vector*)': tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc:77:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (node_evaluators_.size() <= node_id) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from ./tensorflow/contrib/tensor_forest/kernels/v4/input_data.h:22, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.h:20, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:19, from tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [1,279 / 1,303] Compiling tensorflow/contrib/tpu/ops/cross_replica_ops.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc: tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc:31:8: warning: 'std::__cxx11::string tensorflow::{anonymous}::GetAllActivationModeAttrString()' defined but not used [-Wunused-function] string GetAllActivationModeAttrString() { return "activation_mode: {'Relu'}"; } ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:23:0, from tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:15:0: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'void tensorflow::tensorforest::GrowStats::AddSplit(const tensorflow::decision_trees::BinaryNode&, const std::unique_ptr&, const tensorflow::tensorforest::InputTarget*, int)': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:47:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (splits_.size() < num_splits_to_consider_) { ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'virtual void tensorflow::tensorforest::ClassificationStats::CheckPrune()': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:242:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (worst.size() < to_remove) { ~~~~~~~~~~~~~^~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'void tensorflow::tensorforest::FixedSizeClassStats::accumulate(int, float)': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:645:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (class_weights_.size() < n_) { ~~~~~~~~~~~~~~~~~~~~~~^~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:647:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (class_weights_.size() == n_) { ~~~~~~~~~~~~~~~~~~~~~~^~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'void tensorflow::tensorforest::FixedSizeClassStats::ExtractFromProto(const tensorflow::decision_trees::SparseVector&)': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:710:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (class_weights_.size() == n_) { ~~~~~~~~~~~~~~~~~~~~~~^~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'virtual void tensorflow::tensorforest::LeastSquaresRegressionGrowStats::PackToProto(tensorflow::tensorforest::FertileSlot*) const': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:842:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < total_sum_.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:22:0, from tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:24, from tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from ./tensorflow/contrib/tensor_forest/kernels/v4/input_data.h:22, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.h:20, from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:20, from tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:23:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20, from tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20:0, from tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/stats_ops.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:21, from tensorflow/contrib/tensor_forest/kernels/stats_ops.cc:18: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:24, from tensorflow/contrib/tensor_forest/kernels/stats_ops.cc:19: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from tensorflow/contrib/tensor_forest/kernels/stats_ops.cc:17: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/message.cc: external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'PyObject* google::protobuf::python::message_meta::New(PyTypeObject*, PyObject*, PyObject*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:201:54: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char *kwlist[] = {"name", "bases", "dict", 0}; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:201:54: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc:201:54: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: At global scope: external/protobuf_archive/python/google/protobuf/pyext/message.cc:399:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:399:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'bool google::protobuf::python::CheckAndGetDouble(PyObject*, double*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:703:44: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "int, long, float"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'bool google::protobuf::python::CheckAndGetBool(PyObject*, bool*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:721:43: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "int, long, bool"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'PyObject* google::protobuf::python::CheckString(PyObject*, const google::protobuf::FieldDescriptor*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:757:44: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "bytes, unicode"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:772:33: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "bytes"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'PyObject* google::protobuf::python::cmessage::InternalSerializeToString(google::protobuf::python::CMessage*, PyObject*, PyObject*, bool)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:1818:48: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char* kwlist[] = { "deterministic", 0 }; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: At global scope: external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:695:58: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "int, long"); ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = long int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:696:58: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = unsigned int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:697:60: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = long unsigned int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:698:60: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/descriptor_pool.cc: external/protobuf_archive/python/google/protobuf/pyext/descriptor_pool.cc: In function 'PyObject* google::protobuf::python::cdescriptor_pool::New(PyTypeObject*, PyObject*, PyObject*)': external/protobuf_archive/python/google/protobuf/pyext/descriptor_pool.cc:139:46: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char* kwlist[] = {"descriptor_db", 0}; ^ INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc: external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc: In function 'PyObject* google::protobuf::python::message_factory::New(PyTypeObject*, PyObject*, PyObject*)': external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc:78:37: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char* kwlist[] = {"pool", 0}; ^ external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc: At global scope: external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc:225:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc:225:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc: external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] INFO: From Compiling tensorflow/core/ops/data_flow_ops.cc [for host]: tensorflow/core/ops/data_flow_ops.cc:368:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarOutput(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarOutput(InferenceContext* c) { ^~~~~~~~~~~~ tensorflow/core/ops/data_flow_ops.cc:349:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarAndTwoElementVectorInputsAndScalarOutputs(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarAndTwoElementVectorInputsAndScalarOutputs(InferenceContext* c) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/python/framework/fast_tensor_util.cpp: In file included from bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/ndarraytypes.h:1816:0, from bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/ndarrayobject.h:18, from bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/arrayobject.h:4, from bazel-out/k8-py3-opt/genfiles/tensorflow/python/framework/fast_tensor_util.cpp:531: bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ [1,654 / 1,714] Compiling tensorflow/cc/framework/cc_op_gen.cc [for host]; 3s local ... (2 actions running) INFO: From Executing genrule //tensorflow/cc:array_ops_genrule: 2017-12-30 20:49:50.135281: W tensorflow/core/framework/op_gen_lib.cc:372] Squeeze can't find input squeeze_dims to rename INFO: From ProtoCompile tensorflow/core/grappler/costs/op_performance_data.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/core/debug/debugger_event_metadata.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/core/profiler/profile.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/profiler/internal/tfprof_timeline.cc: tensorflow/core/profiler/internal/tfprof_timeline.cc: In member function 'void tensorflow::tfprof::Timeline::AllocateLanes()': tensorflow/core/profiler/internal/tfprof_timeline.cc:332:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = 0; i < p->lanes.size(); ++i) { ~~^~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/padding_fifo_queue.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from tensorflow/core/kernels/padding_fifo_queue.cc:23: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from ./tensorflow/core/kernels/padding_fifo_queue.h:27, from tensorflow/core/kernels/padding_fifo_queue.cc:26: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From ProtoCompile tensorflow/core/protobuf/worker.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. [1,839 / 1,882] Compiling tensorflow/core/kernels/bias_op.cc; 38s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/pooling_ops_3d.cc: In file included from ./tensorflow/core/kernels/eigen_pooling.h:20:0, from tensorflow/core/kernels/pooling_ops_3d.cc:29: ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:676:46: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with Op = Eigen::internal::AvgPoolMeanReducer; Dims = const Eigen::IndexList >; ArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' tensorflow/core/kernels/pooling_ops_3d.cc:108:71: required from 'static void tensorflow::LaunchPoolingOp::launch(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const std::array&, const std::array&, const std::array&, tensorflow::TensorFormat, tensorflow::Padding, tensorflow::Tensor*) [with T = float]' tensorflow/core/kernels/pooling_ops_3d.cc:194:45: required from 'void tensorflow::Pooling3DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float; tensorflow::PoolingType Type = (tensorflow::PoolingType)1]' tensorflow/core/kernels/pooling_ops_3d.cc:842:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] static const Index PacketSize = ^~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/captured_function.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/function.h:22, from ./tensorflow/core/kernels/captured_function.h:21, from tensorflow/core/kernels/captured_function.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/training_op_helpers.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/kernels/training_op_helpers.h:19, from tensorflow/core/kernels/training_op_helpers.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/training_op_helpers.h:21:0, from tensorflow/core/kernels/training_op_helpers.cc:16: ./tensorflow/core/kernels/variable_ops.h: In function 'tensorflow::mutex* tensorflow::GetTrainingVariableMutex(tensorflow::OpKernelContext*, int)': ./tensorflow/core/kernels/variable_ops.h:34:25: warning: 'var' may be used uninitialized in this function [-Wmaybe-uninitialized] mutex* mu() { return &mu_; } ^~~ tensorflow/core/kernels/training_op_helpers.cc:22:10: note: 'var' was declared here Var* var; ^~~ [1,944 / 1,987] Compiling tensorflow/core/kernels/sparse_concat_op.cc; 2s local ... (2 actions running) INFO: From Compiling tensorflow/python/grappler/model_analyzer.cc: tensorflow/python/grappler/model_analyzer.cc: In member function 'void tensorflow::grappler::ModelAnalyzer::PrintNodeInfo(const tensorflow::NodeDef*, const tensorflow::grappler::GraphProperties&, std::ostream&) const': tensorflow/python/grappler/model_analyzer.cc:49:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < props.size(); ++i) { ~~^~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/ops/nn_grad.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from tensorflow/core/ops/nn_grad.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/skip_dataset_op.cc: tensorflow/core/kernels/skip_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::SkipDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/skip_dataset_op.cc:45:38: warning: 'count' may be used uninitialized in this function [-Wmaybe-uninitialized] : count_(count), input_(input) { ^ tensorflow/core/kernels/skip_dataset_op.cc:35:11: note: 'count' was declared here int64 count; ^~~~~ INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_5.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_5.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_2.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_2.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc: tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:329:3: warning: multi-line comment [-Wcomment] // / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:333:3: warning: multi-line comment [-Wcomment] // / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:339:3: warning: multi-line comment [-Wcomment] // / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:341:3: warning: multi-line comment [-Wcomment] // | / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc: In function 'bool tensorflow::grappler::AreInversePermutations(tensorflow::gtl::ArraySlice, tensorflow::gtl::ArraySlice)': tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:224:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < a.size(); ++i) { ~~^~~~~~~~~~ INFO: From Compiling tensorflow/core/grappler/costs/virtual_scheduler.cc: tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'tensorflow::Status tensorflow::grappler::VirtualScheduler::Init()': tensorflow/core/grappler/costs/virtual_scheduler.cc:230:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] port_num < curr_node_state.output_properties.size(); ++port_num) { ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'tensorflow::int64 tensorflow::grappler::VirtualScheduler::CalculateOutputSize(const std::vector&, int) const': tensorflow/core/grappler/costs/virtual_scheduler.cc:461:16: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (port_num >= output_properties.size()) { ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'bool tensorflow::grappler::VirtualScheduler::MarkCurrNodeExecuted(const tensorflow::grappler::Costs&)': tensorflow/core/grappler/costs/virtual_scheduler.cc:561:41: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (output_state.num_inputs_ready == output_state.inputs.size() || ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/costs/virtual_scheduler.cc:576:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (input_state.num_outputs_executed[port] == tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'tensorflow::grappler::Costs tensorflow::grappler::VirtualScheduler::Summary(tensorflow::RunMetadata*)': tensorflow/core/grappler/costs/virtual_scheduler.cc:712:33: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int slot = 0; slot < nodestate.output_properties.size(); slot++) { ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/core/protobuf/master.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/core/debug/debug_service.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/distributed_runtime/worker_session.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/device_mgr.h:24, from ./tensorflow/core/distributed_runtime/worker_session.h:21, from tensorflow/core/distributed_runtime/worker_session.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/conv_grad_ops_3d.cc: In file included from ./tensorflow/core/kernels/eigen_cuboid_convolution.h:20:0, from ./tensorflow/core/kernels/conv_3d.h:22, from tensorflow/core/kernels/conv_grad_ops_3d.cc:19: ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::Scalar*) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = double; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_ops_3d.cc:357:44: required from 'void tensorflow::Conv3DBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = double]' tensorflow/core/kernels/conv_grad_ops_3d.cc:1119:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] static const Index PacketSize = ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::Scalar*) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = float; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_ops_3d.cc:357:44: required from 'void tensorflow::Conv3DBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_ops_3d.cc:1119:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/grappler/grappler_item_builder.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/grappler/grappler_item.h:26, from ./tensorflow/core/grappler/grappler_item_builder.h:21, from tensorflow/core/grappler/grappler_item_builder.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/c/python_api.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/graph_runner.h:23, from ./tensorflow/core/common_runtime/shape_refiner.h:20, from ./tensorflow/c/c_api_internal.h:25, from tensorflow/c/python_api.cc:18: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/cluster_function_library_runtime.cc: In file included from ./tensorflow/core/distributed_runtime/call_options.h:21:0, from ./tensorflow/core/distributed_runtime/worker_interface.h:21, from ./tensorflow/core/distributed_runtime/cluster_function_library_runtime.h:18, from tensorflow/core/distributed_runtime/cluster_function_library_runtime.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/python/lib/core/ndarray_tensor.cc: tensorflow/python/lib/core/ndarray_tensor.cc: In function 'tensorflow::Status tensorflow::{anonymous}::CopyTF_TensorStringsToPyArray(const TF_Tensor*, tensorflow::uint64, PyArrayObject*)': tensorflow/python/lib/core/ndarray_tensor.cc:225:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = 0; i < nelems; ++i) { ~~^~~~~~~~ INFO: From Compiling tensorflow/core/grappler/costs/measuring_cost_estimator.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/grappler/costs/measuring_cost_estimator.h:23, from tensorflow/core/grappler/costs/measuring_cost_estimator.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/cc/gradients/math_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/array_ops_internal.h:8:0, from tensorflow/cc/gradients/math_grad.cc:19: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/grappler/optimizers/constant_folding.cc: tensorflow/core/grappler/optimizers/constant_folding.cc: In member function 'tensorflow::Status tensorflow::grappler::ConstantFolding::FoldNode(tensorflow::NodeDef*, tensorflow::GraphDef*)': tensorflow/core/grappler/optimizers/constant_folding.cc:566:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < const_nodes.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/optimizers/constant_folding.cc:644:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] } else if (position < const_nodes.size() && ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/framework/device_base.h:23, from ./tensorflow/core/grappler/optimizers/constant_folding.h:19, from tensorflow/core/grappler/optimizers/constant_folding.cc:18: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [2,059 / 2,102] Compiling tensorflow/core/kernels/sparse_xent_op.cc; 7s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/fifo_queue.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from tensorflow/core/kernels/fifo_queue.cc:23: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from tensorflow/core/kernels/fifo_queue.cc:26: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_worker_service.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/common_runtime/costmodel_manager.h:22, from ./tensorflow/core/distributed_runtime/graph_mgr.h:22, from ./tensorflow/core/distributed_runtime/worker.h:21, from ./tensorflow/core/distributed_runtime/rpc/grpc_worker_service.h:19, from tensorflow/core/distributed_runtime/rpc/grpc_worker_service.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_op.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_op.h:33, from tensorflow/core/profiler/internal/tfprof_op.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ In file included from tensorflow/core/profiler/internal/tfprof_op.cc:16:0: ./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const': ./tensorflow/core/profiler/internal/tfprof_op.h:61:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (opts.min_occurrence > node->node->graph_nodes().size()) { ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/profiler/internal/tfprof_op.cc: In member function 'virtual const tensorflow::tfprof::ShowMultiNode* tensorflow::tfprof::TFOp::ShowInternal(const tensorflow::tfprof::Options&, tensorflow::tfprof::Timeline*)': tensorflow/core/profiler/internal/tfprof_op.cc:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = start; i < account_nodes.size(); ++i, ++depth) { ~~^~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/profiler/internal/tfprof_op.cc: In member function 'tensorflow::int64 tensorflow::tfprof::TFOp::SearchRoot(std::vector, const std::vector >&)': tensorflow/core/profiler/internal/tfprof_op.cc:204:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (; i < nodes.size(); ++i) { ~~^~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/window_dataset.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/kernels/window_dataset.h:20, from tensorflow/core/kernels/window_dataset.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/worker.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/common_runtime/costmodel_manager.h:22, from ./tensorflow/core/distributed_runtime/graph_mgr.h:22, from ./tensorflow/core/distributed_runtime/worker.h:21, from tensorflow/core/distributed_runtime/worker.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/platform/env.h:24, from ./tensorflow/core/lib/core/threadpool.h:21, from ./tensorflow/core/common_runtime/process_util.h:21, from ./tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h:24, from tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/hexagon/hexagon_rewriter_transform.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/types.h:33, from ./tensorflow/core/kernels/hexagon/graph_transfer_utils.h:25, from tensorflow/core/kernels/hexagon/hexagon_rewriter_transform.cc:34: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/dataset.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/kernels/dataset.h:22, from tensorflow/core/kernels/dataset.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/c/tf_status_helper.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/c/tf_status_helper.h:20, from tensorflow/c/tf_status_helper.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/reader_dataset_ops.cc: In file included from ./tensorflow/core/framework/tensor_shape.h:23:0, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/kernels/dataset.h:22, from tensorflow/core/kernels/reader_dataset_ops.cc:15: ./tensorflow/core/lib/core/errors.h: In member function 'virtual tensorflow::Status tensorflow::{anonymous}::FixedLengthRecordDatasetOp::Dataset::Iterator::RestoreInternal(tensorflow::OpKernelContext*, tensorflow::IteratorBase::IteratorBundleReader*)': ./tensorflow/core/lib/core/errors.h:42:54: warning: 'current_pos' may be used uninitialized in this function [-Wmaybe-uninitialized] const ::tensorflow::Status _status = (__VA_ARGS__); \ ^ tensorflow/core/kernels/reader_dataset_ops.cc:381:15: note: 'current_pos' was declared here int64 current_pos; ^~~~~~~~~~~ tensorflow/core/kernels/reader_dataset_ops.cc:380:31: warning: 'current_file_index' may be used uninitialized in this function [-Wmaybe-uninitialized] current_file_index_ = size_t(current_file_index); ^~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/master_session.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/debugger_state_interface.h:21, from ./tensorflow/core/distributed_runtime/master_session.h:22, from tensorflow/core/distributed_runtime/master_session.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_master_service.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/distributed_runtime/master.h:21, from tensorflow/core/distributed_runtime/rpc/grpc_master_service.cc:36: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/framework/control_flow.h:20, from ./tensorflow/core/framework/rendezvous.h:21, from ./tensorflow/core/distributed_runtime/rendezvous_mgr_interface.h:22, from ./tensorflow/core/distributed_runtime/base_rendezvous_mgr.h:22, from ./tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.h:19, from tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [2,202 / 2,245] Compiling tensorflow/tools/graph_transforms/rename_attribute.cc; 3s local ... (2 actions running) INFO: From Compiling tensorflow/core/profiler/internal/tfprof_show_multi.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from tensorflow/core/profiler/internal/tfprof_show_multi.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/kernels/parallel_map_dataset_op.cc: tensorflow/core/kernels/parallel_map_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::ParallelMapDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/parallel_map_dataset_op.cc:81:50: warning: 'num_parallel_calls' may be used uninitialized in this function [-Wmaybe-uninitialized] captured_func_(std::move(captured_func)) { ^ tensorflow/core/kernels/parallel_map_dataset_op.cc:54:11: note: 'num_parallel_calls' was declared here int32 num_parallel_calls; ^~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/sdca_internal.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/framework/device_base.h:23, from ./tensorflow/core/kernels/sdca_internal.h:31, from tensorflow/core/kernels/sdca_internal.cc:18: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/grappler/optimizers/layout_optimizer.cc: tensorflow/core/grappler/optimizers/layout_optimizer.cc: In member function 'tensorflow::Status tensorflow::grappler::DataLayoutOptimizer::Expand()': tensorflow/core/grappler/optimizers/layout_optimizer.cc:1276:16: warning: variable 'n' set but not used [-Wunused-but-set-variable] NodeDef* n = AddNodePermNHWCToNCHW(); ^ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_show.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from tensorflow/core/profiler/internal/tfprof_show.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/grappler/clusters/single_machine.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/cc/training/coordinator.h:26, from ./tensorflow/core/grappler/clusters/single_machine.h:19, from tensorflow/core/grappler/clusters/single_machine.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/neon/neon_depthwise_conv_op.cc: In file included from tensorflow/core/kernels/neon/neon_depthwise_conv_op.cc:30:0: ./tensorflow/core/kernels/neon/depthwiseconv_float.h: In instantiation of 'void tensorflow::neon::DepthwiseConv(const float*, const tensorflow::neon::Dims<4>&, const float*, const tensorflow::neon::Dims<4>&, const float*, const tensorflow::neon::Dims<4>&, int, int, int, int, float*, const tensorflow::neon::Dims<4>&) [with tensorflow::neon::FusedActivationFunctionType Ac = (tensorflow::neon::FusedActivationFunctionType)0]': tensorflow/core/kernels/neon/neon_depthwise_conv_op.cc:138:42: required from here ./tensorflow/core/kernels/neon/depthwiseconv_float.h:602:7: warning: variable 'fixed_input_depth' set but not used [-Wunused-but-set-variable] int fixed_input_depth = 0; ^~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/core/framework/op_gen_overrides.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/kernels/random_shuffle_queue_op.cc: In file included from tensorflow/core/kernels/random_shuffle_queue_op.cc:28:0: ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_scope.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_scope.h:33, from tensorflow/core/profiler/internal/tfprof_scope.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/kernels/priority_queue.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from tensorflow/core/kernels/priority_queue.cc:22: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/priority_queue.h:27:0, from tensorflow/core/kernels/priority_queue.cc:25: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ [2,369 / 2,412] Compiling tensorflow/core/kernels/svd_op_float.cc; 8s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/repeat_dataset_op.cc: tensorflow/core/kernels/repeat_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::RepeatDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/repeat_dataset_op.cc:46:61: warning: 'count' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), count_(count), input_(input) { ^ tensorflow/core/kernels/repeat_dataset_op.cc:37:11: note: 'count' was declared here int64 count; ^~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/graph_mgr.cc: tensorflow/core/distributed_runtime/graph_mgr.cc: In lambda function: tensorflow/core/distributed_runtime/graph_mgr.cc:368:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < keys.size(); ++i) { ~~^~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/common_runtime/costmodel_manager.h:22, from ./tensorflow/core/distributed_runtime/graph_mgr.h:22, from tensorflow/core/distributed_runtime/graph_mgr.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/conv_grad_input_ops.cc: In file included from ./tensorflow/core/kernels/conv_2d.h:22:0, from tensorflow/core/kernels/conv_grad_input_ops.cc:32: ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/conv_ops_3d.cc: In file included from ./tensorflow/core/kernels/eigen_cuboid_convolution.h:20:0, from ./tensorflow/core/kernels/conv_3d.h:22, from tensorflow/core/kernels/conv_ops_3d.cc:20: ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = double; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops_3d.cc:58:47: required from 'static void tensorflow::LaunchConvOp::launch(tensorflow::OpKernelContext*, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, const std::array&, tensorflow::Padding, tensorflow::TensorFormat, tensorflow::Tensor*) [with T = double]' tensorflow/core/kernels/conv_ops_3d.cc:133:36: required from 'void tensorflow::Conv3DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = double]' tensorflow/core/kernels/conv_ops_3d.cc:496:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] static const Index PacketSize = ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = float; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops_3d.cc:58:47: required from 'static void tensorflow::LaunchConvOp::launch(tensorflow::OpKernelContext*, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, const std::array&, tensorflow::Padding, tensorflow::TensorFormat, tensorflow::Tensor*) [with T = float]' tensorflow/core/kernels/conv_ops_3d.cc:133:36: required from 'void tensorflow::Conv3DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops_3d.cc:496:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/fifo_queue_op.cc: In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from tensorflow/core/kernels/fifo_queue_op.cc:26: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_1.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_1.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/sloppy_interleave_dataset_op.cc: tensorflow/core/kernels/sloppy_interleave_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::SloppyInterleaveDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:86:39: warning: 'block_length' may be used uninitialized in this function [-Wmaybe-uninitialized] output_shapes_(output_shapes) { ^ tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:59:11: note: 'block_length' was declared here int64 block_length; ^~~~~~~~~~~~ tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:86:39: warning: 'cycle_length' may be used uninitialized in this function [-Wmaybe-uninitialized] output_shapes_(output_shapes) { ^ tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:53:11: note: 'cycle_length' was declared here int64 cycle_length; ^~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/python/framework/cpp_shape_inference.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/kernels/dataset_utils.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/kernels/dataset_utils.h:18, from tensorflow/core/kernels/dataset_utils.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/initializable_lookup_table.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/initializable_lookup_table.h:19, from tensorflow/core/kernels/initializable_lookup_table.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/remote_device.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/distributed_runtime/remote_device.h:22, from tensorflow/core/distributed_runtime/remote_device.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [2,484 / 2,527] Compiling tensorflow/core/kernels/cwise_op_sub.cc; 32s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/range_sampler.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/kernels/range_sampler.h:21, from tensorflow/core/kernels/range_sampler.cc:16: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LEImpl(const T1&, const T2&, const char*) [with T1 = long unsigned int; T2 = long long int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/core/kernels/range_sampler.cc:86:5: required from here ./tensorflow/core/platform/default/logging.h:230:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:230:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ^~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/core/kernels/range_sampler.cc:244:3: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/python/eager/pywrap_tfe_src.cc: tensorflow/python/eager/pywrap_tfe_src.cc: In function 'void TFE_Py_Execute(TFE_Context*, const char*, const char*, TFE_InputTensorHandles*, PyObject*, TFE_OutputTensorHandles*, TF_Status*)': tensorflow/python/eager/pywrap_tfe_src.cc:337:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < inputs->size() && TF_GetCode(out_status) == TF_OK; ~~^~~~~~~~~~~~~~~~ tensorflow/python/eager/pywrap_tfe_src.cc: At global scope: tensorflow/python/eager/pywrap_tfe_src.cc:79:13: warning: 'const char* {anonymous}::ParseProtoValue(const string&, const char*, PyObject*, size_t*, TF_Status*)' defined but not used [-Wunused-function] const char* ParseProtoValue(const string& key, const char* proto_name, ^~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/cc/ops/while_loop.cc: tensorflow/cc/ops/while_loop.cc: In function 'std::vector tensorflow::ops::{anonymous}::ToOutputTensors(const std::vector&)': tensorflow/cc/ops/while_loop.cc:37:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < outputs.size(); ++i) { ~~^~~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc: In function 'std::vector tensorflow::ops::{anonymous}::ToNodes(const std::vector&)': tensorflow/cc/ops/while_loop.cc:46:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < outputs.size(); ++i) { ~~^~~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc: In function 'tensorflow::Status tensorflow::ops::BuildWhileLoop(const tensorflow::Scope&, const std::vector&, const CondGraphBuilderFn&, const BodyGraphBuilderFn&, const string&, tensorflow::OutputList*, bool, tensorflow::Output*)': tensorflow/cc/ops/while_loop.cc:185:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:191:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:202:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:213:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:220:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:228:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:242:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ In file included from ./tensorflow/cc/ops/while_loop.h:19:0, from tensorflow/cc/ops/while_loop.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/cc/framework/ops.h:21, from ./tensorflow/cc/ops/while_loop.h:19, from tensorflow/cc/ops/while_loop.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/priority_queue_op.cc: In file included from ./tensorflow/core/kernels/priority_queue.h:27:0, from tensorflow/core/kernels/priority_queue_op.cc:25: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_stats.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_code.h:32, from ./tensorflow/core/profiler/internal/tfprof_stats.h:38, from tensorflow/core/profiler/internal/tfprof_stats.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ In file included from ./tensorflow/core/profiler/internal/tfprof_stats.h:41:0, from tensorflow/core/profiler/internal/tfprof_stats.cc:16: ./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const': ./tensorflow/core/profiler/internal/tfprof_op.h:61:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (opts.min_occurrence > node->node->graph_nodes().size()) { ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_session.cc: tensorflow/core/distributed_runtime/rpc/grpc_session.cc: In member function 'tensorflow::Status tensorflow::GrpcSession::RunHelper(const tensorflow::RunOptions&, const std::vector, tensorflow::Tensor> >&, const std::vector >&, const std::vector >&, std::vector*, tensorflow::RunMetadata*, const string&)': tensorflow/core/distributed_runtime/rpc/grpc_session.cc:196:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < output_tensor_names.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/distributed_runtime/rpc/grpc_session.cc:229:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < output_tensor_names.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/cc/gradients/array_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/array_ops_internal.h:8:0, from tensorflow/cc/gradients/array_grad.cc:18: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/kernels/padding_fifo_queue_op.cc: In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from ./tensorflow/core/kernels/padding_fifo_queue.h:27, from tensorflow/core/kernels/padding_fifo_queue_op.cc:27: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From Compiling tensorflow/tools/graph_transforms/quantize_nodes.cc: tensorflow/tools/graph_transforms/quantize_nodes.cc:186:6: warning: 'bool tensorflow::graph_transforms::{anonymous}::AreAttrsEqual(const tensorflow::NodeDef*, const tensorflow::NodeDef*)' defined but not used [-Wunused-function] bool AreAttrsEqual(const NodeDef* current_node, const NodeDef* other_node) { ^~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/master.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/distributed_runtime/master.h:21, from tensorflow/core/distributed_runtime/master.cc:32: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/lookup_util.cc: tensorflow/core/kernels/lookup_util.cc: In member function 'virtual void tensorflow::lookup::{anonymous}::TextFileLineIterator::Next()': tensorflow/core/kernels/lookup_util.cc:134:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (std::max(key_index_, value_index_) >= tokens.size()) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/lookup_util.h:19, from tensorflow/core/kernels/lookup_util.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_util.cc: tensorflow/core/distributed_runtime/rpc/grpc_util.cc: In member function 'virtual bool tensorflow::GrpcByteBufferSource::Next(const void**, int*)': tensorflow/core/distributed_runtime/rpc/grpc_util.cc:39:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (cur_ >= slices_.size()) { ~~~~~^~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/hexagon/graph_transferer.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/graph_runner.h:23, from ./tensorflow/core/common_runtime/shape_refiner.h:20, from ./tensorflow/core/kernels/hexagon/graph_transferer.h:24, from tensorflow/core/kernels/hexagon/graph_transferer.cc:16: tensorflow/core/kernels/hexagon/graph_transferer.cc: In member function 'void tensorflow::GraphTransferer::RegisterNodeWithPaddingAndStrides(const tensorflow::IRemoteFusedGraphOpsDefinitions&, const tensorflow::ShapeRefiner&, const tensorflow::Node&)': tensorflow/core/kernels/hexagon/graph_transferer.cc:663:35: warning: ?: using integer constants in boolean context, the expression will always evaluate to 'true' [-Wint-in-bool-context] CHECK(padding == Padding::VALID ? 1 : 2); ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/hexagon/graph_transferer.cc:663:3: note: in expansion of macro 'CHECK' CHECK(padding == Padding::VALID ? 1 : 2); ^ INFO: From Compiling tensorflow/core/kernels/conv_grad_filter_ops.cc: In file included from ./tensorflow/core/kernels/conv_2d.h:22:0, from tensorflow/core/kernels/conv_grad_filter_ops.cc:32: ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/summary_interface.cc: tensorflow/core/kernels/summary_interface.cc: In member function 'tensorflow::Status tensorflow::SummaryWriterImpl::Enqueue(tensorflow::int64, const tensorflow::Summary&)': tensorflow/core/kernels/summary_interface.cc:388:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (queue_.size() >= max_queue_ || ~~~~~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/core/kernels/summary_interface.cc:389:51: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] Env::Default()->NowMicros() - last_flush_ > 1000 * flush_millis_) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from tensorflow/core/kernels/summary_interface.cc:17: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from tensorflow/core/kernels/summary_interface.cc:19:0: bazel-out/k8-py3-opt/genfiles/tensorflow/core/framework/summary.pb.h: In member function 'virtual tensorflow::Status tensorflow::SummaryWriterImpl::WriteScalar(tensorflow::int64, tensorflow::Tensor, const string&)': bazel-out/k8-py3-opt/genfiles/tensorflow/core/framework/summary.pb.h:2518:24: warning: 'value' may be used uninitialized in this function [-Wmaybe-uninitialized] value_.simple_value_ = value; ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ tensorflow/core/kernels/summary_interface.cc:265:11: note: 'value' was declared here float value; ^~~~~ tensorflow/core/kernels/summary_interface.cc: In member function 'virtual tensorflow::Status tensorflow::SummaryWriterImpl::WriteHistogram(tensorflow::int64, tensorflow::Tensor, const string&)': tensorflow/core/kernels/summary_interface.cc:286:16: warning: 'double_val' may be used uninitialized in this function [-Wmaybe-uninitialized] histo.Add(double_val); ~~~~~~~~~^~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/local_master.cc: In file included from ./tensorflow/core/distributed_runtime/call_options.h:21:0, from ./tensorflow/core/distributed_runtime/master_interface.h:19, from ./tensorflow/core/distributed_runtime/local_master.h:21, from tensorflow/core/distributed_runtime/local_master.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/cc/gradients/nn_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/nn_ops.h:8:0, from tensorflow/cc/gradients/nn_grad.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/kernels/conditional_accumulator_base.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/framework/numeric_op.h:19, from ./tensorflow/core/kernels/conditional_accumulator_base.h:22, from tensorflow/core/kernels/conditional_accumulator_base.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/debug/debug_io_utils.cc: tensorflow/core/debug/debug_io_utils.cc:577:15: warning: 'tensorflow::Status tensorflow::CloseDebugURL(const string&)' defined but not used [-Wunused-function] static Status CloseDebugURL(const string& debug_url) { return Status::OK(); } ^~~~~~~~~~~~~ [2,652 / 2,695] Compiling tensorflow/core/kernels/batch_matmul_op_complex.cc; 30s local ... (2 actions running) INFO: From Compiling tensorflow/python/pywrap_tensorflow_internal.cc: bazel-out/k8-py3-opt/bin/tensorflow/python/pywrap_tensorflow_internal.cc: In function 'PyObject* _wrap_PyRecordReader_New(PyObject*, PyObject*)': bazel-out/k8-py3-opt/bin/tensorflow/python/pywrap_tensorflow_internal.cc:5856:12: warning: 'arg2' may be used uninitialized in this function [-Wmaybe-uninitialized] result = (tensorflow::io::PyRecordReader *)tensorflow::io::PyRecordReader::New((string const &)*arg1,arg2,(string const &)*arg3,arg4); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ At global scope: cc1plus: warning: unrecognized command line option '-Wno-self-assign' INFO: From Compiling tensorflow/core/distributed_runtime/scheduler.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/distributed_runtime/scheduler.h:25, from tensorflow/core/distributed_runtime/scheduler.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/prefetch_dataset_op.cc: tensorflow/core/kernels/prefetch_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::PrefetchDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/prefetch_dataset_op.cc:64:44: warning: 'buffer_size' may be used uninitialized in this function [-Wmaybe-uninitialized] ctx_params_(std::move(ctx_params)) { ^ tensorflow/core/kernels/prefetch_dataset_op.cc:36:11: note: 'buffer_size' was declared here int64 buffer_size; ^~~~~~~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/print_model_analysis.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_code.h:32, from ./tensorflow/core/profiler/internal/tfprof_stats.h:38, from ./tensorflow/core/profiler/internal/advisor/checker.h:20, from ./tensorflow/core/profiler/internal/advisor/accelerator_utilization_checker.h:19, from ./tensorflow/core/profiler/internal/advisor/tfprof_advisor.h:19, from tensorflow/core/profiler/internal/print_model_analysis.cc:26: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ In file included from ./tensorflow/core/profiler/internal/tfprof_stats.h:41:0, from ./tensorflow/core/profiler/internal/advisor/checker.h:20, from ./tensorflow/core/profiler/internal/advisor/accelerator_utilization_checker.h:19, from ./tensorflow/core/profiler/internal/advisor/tfprof_advisor.h:19, from tensorflow/core/profiler/internal/print_model_analysis.cc:26: ./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const': ./tensorflow/core/profiler/internal/tfprof_op.h:61:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (opts.min_occurrence > node->node->graph_nodes().size()) { ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/framework/reader_base.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/framework/queue_interface.h:22, from ./tensorflow/core/framework/reader_base.h:21, from tensorflow/core/framework/reader_base.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/grappler/costs/graph_properties.cc: tensorflow/core/grappler/costs/graph_properties.cc: In member function 'tensorflow::Status tensorflow::grappler::GraphProperties::InferStatically()': tensorflow/core/grappler/costs/graph_properties.cc:419:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (input_id >= input_properties.size()) { ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/grappler/costs/graph_properties.h:21, from tensorflow/core/grappler/costs/graph_properties.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/python/framework/test_ops.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from tensorflow/python/framework/test_ops.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/kernels/remote_fused_graph_execute_utils.h:24, from tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:16: tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static bool tensorflow::RemoteFusedGraphExecuteUtils::GetOutputTensorShapeType(const tensorflow::GraphDef&, const string&, tensorflow::DataType*, tensorflow::TensorShape*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:432:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(data_types.size() > port); ~~~~~~~~~~~~~~~~~~^~~ ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:432:3: note: in expansion of macro 'CHECK' CHECK(data_types.size() > port); ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static tensorflow::Status tensorflow::RemoteFusedGraphExecuteUtils::ClusterizeNodes(const std::unordered_set >&, const tensorflow::GraphDef&, std::vector, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator > > >, std::vector, std::allocator >, std::allocator, std::allocator > > >, std::vector, std::allocator >, std::allocator, std::allocator > > > > >*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:790:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(input_count == 0 || input_count == node->in_edges().size()) ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:790:7: note: in expansion of macro 'CHECK' CHECK(input_count == 0 || input_count == node->in_edges().size()) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static tensorflow::Status tensorflow::RemoteFusedGraphExecuteUtils::FuseCluster(const tensorflow::GraphDef&, const std::vector >&, const std::vector >&, const string&, const ClusterInfo&, const string&, bool, tensorflow::GraphDef*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:974:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int j = 0; j < border_outputs.size(); ++j) { ~~^~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/kernels/remote_fused_graph_execute_utils.h:24, from tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:16: tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static tensorflow::Status tensorflow::RemoteFusedGraphExecuteUtils::CopyByteArrayToTensor(const void*, int, tensorflow::Tensor*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:1339:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(tensor->TotalBytes() >= src_size) ~~~~~~~~~~~~~~~~~~~~~^~~~ ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:1339:3: note: in expansion of macro 'CHECK' CHECK(tensor->TotalBytes() >= src_size) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/session_mgr.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/device_mgr.h:24, from ./tensorflow/core/distributed_runtime/worker_session.h:21, from ./tensorflow/core/distributed_runtime/session_mgr.h:21, from tensorflow/core/distributed_runtime/session_mgr.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/cc/framework/scope.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/cc/framework/ops.h:21, from ./tensorflow/cc/framework/scope.h:25, from ./tensorflow/cc/framework/scope_internal.h:19, from tensorflow/cc/framework/scope.cc:19: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [3,006 / 3,049] Compiling tensorflow/python/eager/pywrap_tensor.cc; 2s local ... (2 actions running) INFO: From Compiling tensorflow/python/lib/core/py_func.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/python/lib/core/py_func.h:22, from tensorflow/python/lib/core/py_func.cc:16: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = long unsigned int; T2 = long long int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/python/lib/core/py_func.cc:269:5: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^ INFO: From Compiling tensorflow/cc/framework/gradients.cc: tensorflow/cc/framework/gradients.cc: In member function 'tensorflow::Status tensorflow::{anonymous}::SymbolicGradientBuilder::ProcessWhileLoop(tensorflow::Node*, const tensorflow::Output&)': tensorflow/cc/framework/gradients.cc:427:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < dx.size(); ++i) { ~~^~~~~~~~~~~ tensorflow/cc/framework/gradients.cc: In member function 'tensorflow::Status tensorflow::{anonymous}::SymbolicGradientBuilder::AddGradients()': tensorflow/cc/framework/gradients.cc:492:66: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (IsPrimitiveOpWithNoGrad(n->type_string()) || num_no_grad == num_y) { ~~~~~~~~~~~~^~~~~~~~ tensorflow/cc/framework/gradients.cc:503:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (num_no_grad > 0 && num_no_grad < num_y) { ~~~~~~~~~~~~^~~~~~~ In file included from ./tensorflow/cc/framework/grad_op_registry.h:21:0, from tensorflow/cc/framework/gradients.cc:19: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/python/lib/core/py_seq_tensor.cc: tensorflow/python/lib/core/py_seq_tensor.cc: In function 'tensorflow::Status tensorflow::PySeqToTensor(PyObject*, PyObject*, tensorflow::Tensor*)': tensorflow/python/lib/core/py_seq_tensor.cc:417:3: warning: 'infer_dtype' may be used uninitialized in this function [-Wmaybe-uninitialized] switch (infer_dtype) { ^~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_tensor.cc: In file included from tensorflow/core/profiler/internal/tfprof_tensor.cc:16:0: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/kernels/shuffle_dataset_op.cc: tensorflow/core/kernels/shuffle_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::ShuffleDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/shuffle_dataset_op.cc:57:19: warning: 'seed2' may be used uninitialized in this function [-Wmaybe-uninitialized] if (seed == 0 && seed2 == 0) { ~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/core/kernels/shuffle_dataset_op.cc:57:5: warning: 'seed' may be used uninitialized in this function [-Wmaybe-uninitialized] if (seed == 0 && seed2 == 0) { ^~ tensorflow/core/kernels/shuffle_dataset_op.cc:74:50: warning: 'buffer_size' may be used uninitialized in this function [-Wmaybe-uninitialized] : input_(input), buffer_size_(buffer_size) { ^ tensorflow/core/kernels/shuffle_dataset_op.cc:42:11: note: 'buffer_size' was declared here int64 buffer_size; ^~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/conv_ops.cc: In file included from ./tensorflow/core/kernels/conv_2d.h:22:0, from tensorflow/core/kernels/conv_ops.cc:32: ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/compiler/xla/util.cc: tensorflow/compiler/xla/util.cc: In function 'bool xla::IsPermutation(tensorflow::gtl::ArraySlice, tensorflow::int64)': tensorflow/compiler/xla/util.cc:162:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rank != permutation.size()) { ~~~~~^~~~~~~~~~~~~~~~~~~~~ tensorflow/compiler/xla/util.cc: In function 'bool xla::IsIdentityPermutation(tensorflow::gtl::ArraySlice)': tensorflow/compiler/xla/util.cc:195:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = 0; i < p.size(); ++i) { ~~^~~~~~~~~~ tensorflow/compiler/xla/util.cc: In function 'std::vector > xla::CommonFactors(tensorflow::gtl::ArraySlice, tensorflow::gtl::ArraySlice)': tensorflow/compiler/xla/util.cc:314:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] bool in_bounds_i = i < a.size(); ~~^~~~~~~~~~ tensorflow/compiler/xla/util.cc:315:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] bool in_bounds_j = j < b.size(); ~~^~~~~~~~~~ INFO: From Compiling tensorflow/core/ops/data_flow_ops.cc: tensorflow/core/ops/data_flow_ops.cc:368:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarOutput(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarOutput(InferenceContext* c) { ^~~~~~~~~~~~ tensorflow/core/ops/data_flow_ops.cc:349:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarAndTwoElementVectorInputsAndScalarOutputs(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarAndTwoElementVectorInputsAndScalarOutputs(InferenceContext* c) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc: tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::DenseToSparseBatchDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc:85:71: warning: 'batch_size' may be used uninitialized in this function [-Wmaybe-uninitialized] : batch_size_(batch_size), row_shape_(row_shape), input_(input) { ^ tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc:41:11: note: 'batch_size' was declared here int64 batch_size; ^~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_3.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_3.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/cc/framework/while_gradients.cc: tensorflow/cc/framework/while_gradients.cc: In function 'std::vector tensorflow::{anonymous}::ToOutputVector(const std::vector&)': tensorflow/cc/framework/while_gradients.cc:40:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < n; ++i) result.push_back(ToOutput(output_tensors[i])); ~~^~~ In file included from ./tensorflow/cc/framework/while_gradients.h:19:0, from tensorflow/cc/framework/while_gradients.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_4.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_4.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/padded_batch_dataset_op.cc: tensorflow/core/kernels/padded_batch_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::PaddedBatchDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/padded_batch_dataset_op.cc:196:23: warning: 'batch_size' may be used uninitialized in this function [-Wmaybe-uninitialized] input_(input) { ^ tensorflow/core/kernels/padded_batch_dataset_op.cc:131:11: note: 'batch_size' was declared here int64 batch_size; ^~~~~~~~~~ INFO: From Compiling tensorflow/cc/training/queue_runner.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/cc/training/coordinator.h:26, from ./tensorflow/cc/training/queue_runner.h:24, from tensorflow/cc/training/queue_runner.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/range_dataset_op.cc: tensorflow/core/kernels/range_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::RangeDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase**)': tensorflow/core/kernels/range_dataset_op.cc:50:72: warning: 'step' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), start_(start), stop_(stop), step_(step) {} ^ tensorflow/core/kernels/range_dataset_op.cc:38:11: note: 'step' was declared here int64 step; ^~~~ tensorflow/core/kernels/range_dataset_op.cc:50:72: warning: 'stop' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), start_(start), stop_(stop), step_(step) {} ^ tensorflow/core/kernels/range_dataset_op.cc:35:11: note: 'stop' was declared here int64 stop; ^~~~ tensorflow/core/kernels/range_dataset_op.cc:50:72: warning: 'start' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), start_(start), stop_(stop), step_(step) {} ^ tensorflow/core/kernels/range_dataset_op.cc:32:11: note: 'start' was declared here int64 start; ^~~~~ INFO: From Compiling tensorflow/core/kernels/queue_base.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/kernels/queue_base.h:22, from tensorflow/core/kernels/queue_base.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_code.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_code.h:32, from tensorflow/core/profiler/internal/tfprof_code.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/cc/gradients/data_flow_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/data_flow_ops.h:8:0, from tensorflow/cc/gradients/data_flow_grad.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/grappler/optimizers/graph_rewriter.cc: tensorflow/core/grappler/optimizers/graph_rewriter.cc: In member function 'void tensorflow::grappler::GraphRewriter::RecordConnectivity(const tensorflow::NodeDef&, const std::unordered_set >&)': tensorflow/core/grappler/optimizers/graph_rewriter.cc:124:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (position < fanin_info->outputs.size() && ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/barrier_ops.cc: In file included from ./tensorflow/core/kernels/priority_queue.h:27:0, from tensorflow/core/kernels/barrier_ops.cc:28: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/tensor_coding.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/distributed_runtime/tensor_coding.h:19, from tensorflow/core/distributed_runtime/tensor_coding.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [3,249 / 3,292] Compiling tensorflow/core/kernels/cwise_op_log.cc; 1s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/take_dataset_op.cc: tensorflow/core/kernels/take_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::TakeDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/take_dataset_op.cc:45:38: warning: 'count' may be used uninitialized in this function [-Wmaybe-uninitialized] : count_(count), input_(input) { ^ tensorflow/core/kernels/take_dataset_op.cc:36:11: note: 'count' was declared here int64 count; ^~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_graph.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_graph.h:34, from tensorflow/core/profiler/internal/tfprof_graph.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/grappler/optimizers/meta_optimizer.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/framework/device_base.h:23, from ./tensorflow/core/grappler/optimizers/meta_optimizer.h:19, from tensorflow/core/grappler/optimizers/meta_optimizer.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/python/framework/test_ops.cc [for host]: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from tensorflow/python/framework/test_ops.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/lib/strings/numbers.cc: tensorflow/core/lib/strings/numbers.cc: In function 'std::__cxx11::string tensorflow::strings::HumanReadableNumBytes(tensorflow::int64)': tensorflow/core/lib/strings/numbers.cc:424:8: warning: '%lld' directive output may be truncated writing between 1 and 19 bytes into a region of size between 7 and 8 [-Wformat-truncation=] string HumanReadableNumBytes(int64 num_bytes) { ^~~~~~~~~~~~~~~~~~~~~ tensorflow/core/lib/strings/numbers.cc:424:8: note: directive argument in the range [0, 9223372036854775807] In file included from /usr/include/stdio.h:862:0, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/cstdio:42, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/ext/string_conversions.h:43, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/bits/basic_string.h:6347, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/string:52, from ./tensorflow/core/lib/strings/numbers.h:19, from tensorflow/core/lib/strings/numbers.cc:15: /usr/include/bits/stdio2.h:65:44: note: '__builtin_snprintf' output between 3 and 22 bytes into a destination of size 8 __bos (__s), __fmt, __va_arg_pack ()); ^ INFO: From Compiling tensorflow/core/framework/op_kernel.cc: tensorflow/core/framework/op_kernel.cc:956:8: warning: 'tensorflow::Status tensorflow::{anonymous}::FindKernelRegistration(const tensorflow::DeviceType&, const tensorflow::Node&, const tensorflow::KernelRegistration**, bool*)' defined but not used [-Wunused-function] Status FindKernelRegistration(const DeviceType& device_type, const Node& node, ^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/stream_executor/stream.cc: tensorflow/stream_executor/stream.cc: In function 'std::__cxx11::string perftools::gputools::{anonymous}::ToVlogString(perftools::gputools::dnn::DataType)': tensorflow/stream_executor/stream.cc:184:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/common_runtime/gpu/process_state.cc: tensorflow/core/common_runtime/gpu/process_state.cc:62:6: warning: 'bool tensorflow::{anonymous}::useCudaMemoryGuardAllocator()' defined but not used [-Wunused-function] bool useCudaMemoryGuardAllocator() { ^~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/common_runtime/gpu/process_state.cc:53:6: warning: 'bool tensorflow::{anonymous}::useCudaMallocAllocator()' defined but not used [-Wunused-function] bool useCudaMallocAllocator() { ^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/stream_executor/stream_executor_pimpl.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/stream_executor/lib/status.h:21, from ./tensorflow/stream_executor/stream_executor_pimpl.h:25, from tensorflow/stream_executor/stream_executor_pimpl.cc:20: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = int; T2 = long long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/stream_executor/stream_executor_pimpl.cc:628:3: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling external/snappy/snappy-stubs-internal.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling external/snappy/snappy.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ external/snappy/snappy.cc: In member function 'void snappy::SnappySinkAllocator::Flush(size_t)': external/snappy/snappy.cc:1403:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < blocks_.size(); ++i) { ~~^~~~~~~~~~~~~~~~ In file included from external/snappy/snappy-internal.h:34:0, from external/snappy/snappy.cc:30: external/snappy/snappy.cc: In instantiation of 'bool snappy::SnappyScatteredWriter::AppendFromSelf(size_t, size_t) [with Allocator = snappy::SnappySinkAllocator; size_t = long unsigned int]': external/snappy/snappy.cc:715:13: required from 'void snappy::SnappyDecompressor::DecompressAllTags(Writer*) [with Writer = snappy::SnappyScatteredWriter]' external/snappy/snappy.cc:799:3: required from 'bool snappy::InternalUncompressAllTags(snappy::SnappyDecompressor*, Writer*, snappy::uint32) [with Writer = snappy::SnappyScatteredWriter; snappy::uint32 = unsigned int]' external/snappy/snappy.cc:1460:78: required from here external/snappy/snappy.cc:1316:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (PREDICT_TRUE(offset - 1u < op_ptr_ - op_base_ && op_end <= op_limit_)) { ~~~~~~~~~~~~^~~~~~~~~~~~~ external/snappy/snappy-stubs-internal.h:80:25: note: in definition of macro 'PREDICT_TRUE' #define PREDICT_TRUE(x) x ^ INFO: From Compiling external/snappy/snappy-sinksource.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling external/snappy/snappy-c.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling tensorflow/core/protobuf/config.pb_text.cc: bazel-out/k8-py3-opt/genfiles/tensorflow/core/protobuf/config.pb_text.cc: In function 'bool tensorflow::internal::ProtoParseFromScanner(tensorflow::strings::Scanner*, bool, bool, tensorflow::ConfigProto*)': bazel-out/k8-py3-opt/genfiles/tensorflow/core/protobuf/config.pb_text.cc:628:23: warning: 'map_value' may be used uninitialized in this function [-Wmaybe-uninitialized] (*map)[map_key] = map_value; bazel-out/k8-py3-opt/genfiles/tensorflow/core/protobuf/config.pb_text.cc:619:9: note: 'map_value' was declared here int32 map_value; ^~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/tree_config.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/learner.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/common/partitioners/example_partitioner.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/trees/decision_tree.h:18, from ./tensorflow/contrib/boosted_trees/lib/learner/common/partitioners/example_partitioner.h:19, from tensorflow/contrib/boosted_trees/lib/learner/common/partitioners/example_partitioner.cc:15: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/factorization/kernels/wals_solver_ops.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/op_def_builder.h:25, from ./tensorflow/core/framework/op.h:23, from tensorflow/contrib/factorization/kernels/wals_solver_ops.cc:26: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LEImpl(const T1&, const T2&, const char*) [with T1 = long unsigned int; T2 = long long int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/contrib/factorization/kernels/wals_solver_ops.cc:170:5: required from here ./tensorflow/core/platform/default/logging.h:230:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:230:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ^~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LEImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/contrib/factorization/kernels/wals_solver_ops.cc:213:7: required from here ./tensorflow/core/platform/default/logging.h:230:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:230:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc: tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc: In lambda function: tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc:56:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t logit_dim = 0; logit_dim < leaf.index_size(); ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc:65:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < leaf.value_size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/batch_features.h:19, from ./tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.h:20, from tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc:15: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.h:21, from tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.cc:15: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/utils/batch_features.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/batch_features.h:19, from tensorflow/contrib/boosted_trees/lib/utils/batch_features.cc:16: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc: tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc: In static member function 'static tensorflow::Status tensorflow::boosted_trees::utils::DropoutUtils::DropOutTrees(tensorflow::uint64, const tensorflow::boosted_trees::learner::LearningRateDropoutDrivenConfig&, const std::unordered_set&, const std::vector&, std::vector*, std::vector*)': tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc:85:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32 i = 0; i < num_trees; ++i) { ~~^~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc: In static member function 'static void tensorflow::boosted_trees::utils::DropoutUtils::GetTreesWeightsForAddingTrees(const std::vector&, const std::vector&, tensorflow::int32, tensorflow::int32, std::vector*, std::vector*)': tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc:127:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (new_tree_index < current_weights->size()) { ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc:139:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32 i = 0; i < dropped_trees.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/quantiles.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/split_info.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/boosted_trees/lib/trees/decision_tree.cc: tensorflow/contrib/boosted_trees/lib/trees/decision_tree.cc: In static member function 'static std::vector tensorflow::boosted_trees::trees::DecisionTree::GetChildren(const tensorflow::boosted_trees::trees::TreeNode&)': tensorflow/contrib/boosted_trees/lib/trees/decision_tree.cc:197:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc: In member function 'virtual void tensorflow::boosted_trees::learner::stochastic::CategoricalFeatureColumnHandler::GenerateFeatureSplitCandidates(const tensorflow::boosted_trees::learner::LearnerConfig&, const std::vector&, const std::vector&, const tensorflow::boosted_trees::learner::FeatureStatsAccumulator&, std::vector*) const': tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc:127:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (entry.first.feature_id < best_split_feature_id) { ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ [3,774 / 3,779] Compiling tensorflow/contrib/boosted_trees/ops/quantile_ops.cc; 0s local ... (2 actions running) INFO: From Compiling tensorflow/contrib/boosted_trees/kernels/split_handler_ops.cc: tensorflow/contrib/boosted_trees/kernels/split_handler_ops.cc: In member function 'virtual void tensorflow::BuildCategoricalEqualitySplitsOp::Compute(tensorflow::OpKernelContext*)': tensorflow/contrib/boosted_trees/kernels/split_handler_ops.cc:526:15: warning: 'class_id' may be used uninitialized in this function [-Wmaybe-uninitialized] FillLeaf(class_id, best_right_node_stats, right_child); ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Target //tensorflow/tools/pip_package:build_pip_package up-to-date: bazel-bin/tensorflow/tools/pip_package/build_pip_package INFO: Elapsed time: 4296.312s, Critical Path: 66.57s INFO: Build completed successfully, 3856 total actions + bash bazel-bin/tensorflow/tools/pip_package/build_pip_package tensorflow_pkg Sat Dec 30 21:43:56 UTC 2017 : === Using tmpdir: /tmp/tmp.DDc7btIpUG ~/build/BUILD/tensorflow-1.4.1/bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles ~/build/BUILD/tensorflow-1.4.1 ~/build/BUILD/tensorflow-1.4.1 /tmp/tmp.DDc7btIpUG ~/build/BUILD/tensorflow-1.4.1 Sat Dec 30 21:43:57 UTC 2017 : === Building wheel warning: no files found matching '*.dll' under directory '*' warning: no files found matching '*.lib' under directory '*' warning: no files found matching '*.h' under directory 'tensorflow/include/tensorflow' warning: no files found matching '*' under directory 'tensorflow/include/Eigen' warning: no files found matching '*' under directory 'tensorflow/include/external' warning: no files found matching '*.h' under directory 'tensorflow/include/google' warning: no files found matching '*' under directory 'tensorflow/include/third_party' warning: no files found matching '*' under directory 'tensorflow/include/unsupported' ~/build/BUILD/tensorflow-1.4.1 Sat Dec 30 21:44:08 UTC 2017 : === Output wheel file is in: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow_pkg + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.nwRS83 + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 ++ dirname /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 + cd tensorflow-1.4.1 + pip3 install -t /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6/site-packages --no-dependencies tensorflow_pkg/tensorflow-1.4.1-cp36-cp36m-linux_x86_64.whl Processing ./tensorflow_pkg/tensorflow-1.4.1-cp36-cp36m-linux_x86_64.whl Installing collected packages: tensorflow Successfully installed tensorflow-1.4.1 + rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6/site-packages/tensorflow-1.4.1.dist-info + rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6/site-packages/external + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/brp-compress + /usr/lib/rpm/brp-strip /usr/bin/strip + /usr/lib/rpm/brp-strip-comment-note /usr/bin/strip /usr/bin/objdump + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/brp-python-bytecompile /usr/bin/python 1 Bytecompiling .py files below /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6 using /usr/bin/python3.6 + /usr/lib/rpm/brp-python-hardlink Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.h6R0YK Processing files: tensorflow-1.4.1-1.fc28.x86_64 + umask 022 + cd /builddir/build/BUILD + cd tensorflow-1.4.1 + exit 0 Provides: libforestprotos.so()(64bit) libtensorflow_framework.so()(64bit) tensorflow = 1.4.1-1.fc28 tensorflow(x86-64) = 1.4.1-1.fc28 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-x86-64.so.2()(64bit) ld-linux-x86-64.so.2(GLIBC_2.3)(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.10)(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.16)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_2.6)(64bit) libc.so.6(GLIBC_2.7)(64bit) libc.so.6(GLIBC_2.9)(64bit) libdl.so.2()(64bit) libdl.so.2(GLIBC_2.2.5)(64bit) libforestprotos.so()(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libpthread.so.0()(64bit) libpthread.so.0(GLIBC_2.12)(64bit) libpthread.so.0(GLIBC_2.2.5)(64bit) libpthread.so.0(GLIBC_2.3.2)(64bit) libpthread.so.0(GLIBC_2.3.4)(64bit) librt.so.1()(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.7)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.17)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.22)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) libtensorflow_framework.so()(64bit) python(abi) = 3.6 rtld(GNU_HASH) Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 Wrote: /builddir/build/RPMS/tensorflow-1.4.1-1.fc28.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.ZX3sgE + umask 022 + cd /builddir/build/BUILD + cd tensorflow-1.4.1 + /usr/bin/rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 + exit 0 Finish: rpmbuild tensorflow-1.4.1-1.fc28.src.rpm Finish: build phase for tensorflow-1.4.1-1.fc28.src.rpm INFO: Done(/var/lib/copr-rpmbuild/results/tensorflow-1.4.1-1.fc28.src.rpm) Config(child) 78 minutes 30 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot WARNING: Process ID 2362 still running in chroot. Killing... INFO: unmounting tmpfs. WARNING: tmpfs-plugin: exception while umounting tmpfs! (cwd: /home/mockbuilder) WARNING: tmpfs-plugin: exception while force umounting tmpfs! (cwd: /home/mockbuilder) ERROR: Exception(/var/lib/copr-rpmbuild/results/tensorflow-1.4.1-1.fc28.src.rpm) Config(692119-fedora-rawhide-x86_64) 79 minutes 6 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_failure=True') Start: clean chroot Traceback (most recent call last): File "/usr/libexec/mock/mock", line 473, in rebuild_generic commands.clean() File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/backend.py", line 75, in clean self.buildroot.delete() File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/buildroot.py", line 567, in delete util.rmtree(self.basedir, selinux=self.selinux) File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/util.py", line 151, in rmtree rmtree(fullname, selinux=selinux, exclude=exclude) File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/util.py", line 160, in rmtree os.rmdir(path) OSError: [Errno 16] Device or resource busy: '/var/lib/mock/692119-fedora-rawhide-x86_64-1514665880.879986/root' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/libexec/mock/mock", line 886, in main() File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/libexec/mock/mock", line 701, in main run_command(options, args, config_opts, commands, buildroot, state) File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/libexec/mock/mock", line 783, in run_command do_rebuild(config_opts, commands, buildroot, args) File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/libexec/mock/mock", line 520, in do_rebuild post=post_build, clean=clean) File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/libexec/mock/mock", line 485, in rebuild_generic commands.clean() File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/backend.py", line 75, in clean self.buildroot.delete() File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/buildroot.py", line 567, in delete util.rmtree(self.basedir, selinux=self.selinux) File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/util.py", line 151, in rmtree rmtree(fullname, selinux=selinux, exclude=exclude) File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace result = func(*args, **kw) File "/usr/lib/python3.6/site-packages/mockbuild/util.py", line 160, in rmtree os.rmdir(path) OSError: [Errno 16] Device or resource busy: '/var/lib/mock/692119-fedora-rawhide-x86_64-1514665880.879986/root' Traceback (most recent call last): File "/usr/bin/copr-rpmbuild", line 96, in main action(args, config) File "/usr/bin/copr-rpmbuild", line 149, in build_rpm builder.run() File "/usr/lib/python3.6/site-packages/copr_rpmbuild/builders/mock.py", line 45, in run self.produce_rpm(srpm, configdir, self.resultdir) File "/usr/lib/python3.6/site-packages/copr_rpmbuild/builders/mock.py", line 108, in produce_rpm raise RuntimeError("Build failed") RuntimeError: Build failed