Sat Dec 25 21:14:58 UTC 2021 I: starting to build caffe/bullseye/amd64 on jenkins on '2021-12-25 21:14' Sat Dec 25 21:14:58 UTC 2021 I: The jenkins build log is/was available at https://jenkins.debian.net/userContent/reproducible/debian/build_service/amd64_13/84252/console.log Sat Dec 25 21:14:58 UTC 2021 I: Downloading source for bullseye/caffe=1.0.0+git20180821.99bd997-8 --2021-12-25 21:14:58-- http://cdn-fastly.deb.debian.org/debian/pool/main/c/caffe/caffe_1.0.0%2bgit20180821.99bd997-8.dsc Connecting to 78.137.99.97:3128... connected. Proxy request sent, awaiting response... 200 OK Length: 3011 (2.9K) Saving to: ‘caffe_1.0.0+git20180821.99bd997-8.dsc’ 0K .. 100% 24.9M=0s 2021-12-25 21:14:59 (24.9 MB/s) - ‘caffe_1.0.0+git20180821.99bd997-8.dsc’ saved [3011/3011] Sat Dec 25 21:14:59 UTC 2021 I: caffe_1.0.0+git20180821.99bd997-8.dsc -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA512 Format: 3.0 (quilt) Source: caffe Binary: caffe, libcaffe1, libcaffe-dev, python3-caffe, caffe-doc Architecture: any all Version: 1.0.0+git20180821.99bd997-8 Maintainer: Debian Science Maintainers Uploaders: Mo Zhou Homepage: http://caffe.berkeleyvision.org Standards-Version: 4.5.0 Vcs-Browser: https://salsa.debian.org/science-team/caffe Vcs-Git: https://salsa.debian.org/science-team/caffe.git Testsuite: autopkgtest Build-Depends: bc, cmake, bash-completion, debhelper-compat (= 13), dh-python, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4) [!m68k !powerpc !sh4 !sparc64 !x32], libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml Build-Depends-Indep: doxygen, doxygen-latex Package-List: caffe deb science optional arch=any caffe-doc deb doc optional arch=all libcaffe-dev deb libdevel optional arch=any libcaffe1 deb libs optional arch=any python3-caffe deb python optional arch=any Checksums-Sha1: 4061e9b6915b7507ff30f83c1d1b74346fe026e2 8518844 caffe_1.0.0+git20180821.99bd997.orig.tar.gz 9b54a5482648c87841be32a5d65bce706d95d080 14928 caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz Checksums-Sha256: e0eb3f06794f7402c77b7dec8e8480273ee1a1bb192e9122b621a69d4147ad0c 8518844 caffe_1.0.0+git20180821.99bd997.orig.tar.gz 07cf073227494a6b07234e40cb5df91db566616593eef9baafdc4d06ad159f21 14928 caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz Files: 38cf1dd141fd4b2f4aec637533d68153 8518844 caffe_1.0.0+git20180821.99bd997.orig.tar.gz e7740447fa36d6245091ad48876d6ec8 14928 caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz -----BEGIN PGP SIGNATURE----- iQJFBAEBCgAvFiEEY4vHXsHlxYkGfjXeYmRes19oaooFAl+4xxQRHGx1bWluQGRl Ymlhbi5vcmcACgkQYmRes19oaorM6RAAmJDCsk+VcCBKPQNJt9UxT1UffW5bIKLg bL5bC83ai3gn9z3LKdal5OHhnSQrkJLVhIJLhxYJAAChCz8lKyhPcU7moaGnsw8B oN/yel9JjXpwk+3ZevszHGuk3PXDDx6JkC/d9m4BV4Zd4DW9l+H48CtzkEoizGBu 4RvzKDRHiKzzNRPv458be/9tHqM/+Deg8QuIHMseBImUQcaebX5JP2/gaklp2uLt +VatDx94mg9CPFbEW96ZzKwd5GzZl+ERtwmPzDkWm/+3C7nyyNlOJLlBjILi0SdQ fO/EHkBsW2Yd5XSGH8GEY/LiTKK9Yt0Hin2uLJ1/2QccI5KjnuWIIoFhBP/+Ykju BJpoPoKcNxxE6oGFfnmPptD97/LqTx7Odu4kiESqdLxD0ECkiZjIcTXMJmJ+FpZ5 ceA90QvzHYvdixYpwPvlynpD0AKwYYd6UENtHF+fjQbDmiucxDSIaKBUfuvR9Rm4 cYo0RCynNkEsm6o3WrlCto7m/f6Ng/SQFAVok6RSCZvMwi10gTXbsCpmQr5C6Bgs gLTvGksEYEUT+d6nWhLt//6aNsC7GTNIjwo3qGQ9BW1nT00WRu48T9Z9j7Mrm5BR U8QyVL6VX+HsUVrol5mt4FCKoIgKWIysc/Xw/7licaitw079FKfavuZ2U4Ad82DW MthpiKXt71I= =uGN/ -----END PGP SIGNATURE----- Sat Dec 25 21:14:59 UTC 2021 I: Checking whether the package is not for us Sat Dec 25 21:14:59 UTC 2021 I: Starting 1st build on remote node ionos11-amd64.debian.net. Sat Dec 25 21:14:59 UTC 2021 I: Preparing to do remote build '1' on ionos11-amd64.debian.net. Sat Dec 25 21:58:48 UTC 2021 I: Deleting $TMPDIR on ionos11-amd64.debian.net. I: pbuilder: network access will be disabled during build I: Current time: Sat Dec 25 09:15:02 -12 2021 I: pbuilder-time-stamp: 1640466902 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [caffe_1.0.0+git20180821.99bd997-8.dsc] I: copying [./caffe_1.0.0+git20180821.99bd997.orig.tar.gz] I: copying [./caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' gpgv: keyblock resource '/tmp/dpkg-verify-sig.mPbtFMB1/trustedkeys.kbx': General error gpgv: Signature made Fri Nov 20 19:51:48 2020 -12 gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A gpgv: issuer "lumin@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./caffe_1.0.0+git20180821.99bd997-8.dsc dpkg-source: info: extracting caffe in caffe-1.0.0+git20180821.99bd997 dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997.orig.tar.gz dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying cmake-using-basic-blas dpkg-source: info: applying cmake-fix-python-module-installdir dpkg-source: info: applying fix-more-float-comparison-precision-issue2 dpkg-source: info: applying cmake-link-correct-python-lib.patch dpkg-source: info: applying 6693.diff dpkg-source: info: applying pyrequire-no-leveldb.patch I: using fakeroot in build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/862015/tmp/hooks/D02_print_environment starting I: set BUILDDIR='/build' BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other' BUILDUSERNAME='pbuilder1' BUILD_ARCH='amd64' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=15' DISTRIBUTION='' HOME='/root' HOST_ARCH='amd64' IFS=' ' INVOCATION_ID='081805eaa7c745e08c91c1b451d4b3d6' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' MAIL='/var/mail/root' OPTIND='1' PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' PBCURRENTCOMMANDLINEOPERATION='build' PBUILDER_OPERATION='build' PBUILDER_PKGDATADIR='/usr/share/pbuilder' PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' PBUILDER_SYSCONFDIR='/etc' PPID='862015' PS1='# ' PS2='> ' PS4='+ ' PWD='/' SHELL='/bin/bash' SHLVL='2' SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/pbuilderrc_D3Wk --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/b1 --logfile b1/build.log caffe_1.0.0+git20180821.99bd997-8.dsc' SUDO_GID='111' SUDO_UID='106' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' http_proxy='http://78.137.99.97:3128' I: uname -a Linux ionos11-amd64 5.10.0-10-amd64 #1 SMP Debian 5.10.84-1 (2021-12-08) x86_64 GNU/Linux I: ls -l /bin total 5476 -rwxr-xr-x 1 root root 1234376 Aug 4 08:25 bash -rwxr-xr-x 3 root root 38984 Jul 20 2020 bunzip2 -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzcat lrwxrwxrwx 1 root root 6 Jul 20 2020 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2225 Jul 20 2020 bzdiff lrwxrwxrwx 1 root root 6 Jul 20 2020 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Sep 4 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 20 2020 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3775 Jul 20 2020 bzgrep -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzip2 -rwxr-xr-x 1 root root 18424 Jul 20 2020 bzip2recover lrwxrwxrwx 1 root root 6 Jul 20 2020 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 20 2020 bzmore -rwxr-xr-x 1 root root 43936 Sep 23 2020 cat -rwxr-xr-x 1 root root 72672 Sep 23 2020 chgrp -rwxr-xr-x 1 root root 64448 Sep 23 2020 chmod -rwxr-xr-x 1 root root 72672 Sep 23 2020 chown -rwxr-xr-x 1 root root 151168 Sep 23 2020 cp -rwxr-xr-x 1 root root 125560 Dec 10 2020 dash -rwxr-xr-x 1 root root 113664 Sep 23 2020 date -rwxr-xr-x 1 root root 80968 Sep 23 2020 dd -rwxr-xr-x 1 root root 93936 Sep 23 2020 df -rwxr-xr-x 1 root root 147176 Sep 23 2020 dir -rwxr-xr-x 1 root root 84440 Jul 28 07:09 dmesg lrwxrwxrwx 1 root root 8 Nov 6 2019 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Nov 6 2019 domainname -> hostname -rwxr-xr-x 1 root root 39712 Sep 23 2020 echo -rwxr-xr-x 1 root root 28 Nov 9 2020 egrep -rwxr-xr-x 1 root root 39680 Sep 23 2020 false -rwxr-xr-x 1 root root 28 Nov 9 2020 fgrep -rwxr-xr-x 1 root root 69032 Jul 28 07:09 findmnt -rwsr-xr-x 1 root root 34896 Feb 26 2021 fusermount -rwxr-xr-x 1 root root 203072 Nov 9 2020 grep -rwxr-xr-x 2 root root 2346 Mar 2 2021 gunzip -rwxr-xr-x 1 root root 6376 Mar 2 2021 gzexe -rwxr-xr-x 1 root root 98048 Mar 2 2021 gzip -rwxr-xr-x 1 root root 22600 Nov 6 2019 hostname -rwxr-xr-x 1 root root 72840 Sep 23 2020 ln -rwxr-xr-x 1 root root 56952 Feb 7 2020 login -rwxr-xr-x 1 root root 147176 Sep 23 2020 ls -rwxr-xr-x 1 root root 149736 Jul 28 07:09 lsblk -rwxr-xr-x 1 root root 85184 Sep 23 2020 mkdir -rwxr-xr-x 1 root root 76896 Sep 23 2020 mknod -rwxr-xr-x 1 root root 48064 Sep 23 2020 mktemp -rwxr-xr-x 1 root root 59632 Jul 28 07:09 more -rwsr-xr-x 1 root root 55528 Jul 28 07:09 mount -rwxr-xr-x 1 root root 18664 Jul 28 07:09 mountpoint -rwxr-xr-x 1 root root 147080 Sep 23 2020 mv lrwxrwxrwx 1 root root 8 Nov 6 2019 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Apr 18 2021 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 43872 Sep 23 2020 pwd lrwxrwxrwx 1 root root 4 Aug 4 08:25 rbash -> bash -rwxr-xr-x 1 root root 52032 Sep 23 2020 readlink -rwxr-xr-x 1 root root 72704 Sep 23 2020 rm -rwxr-xr-x 1 root root 52032 Sep 23 2020 rmdir -rwxr-xr-x 1 root root 27472 Sep 27 2020 run-parts -rwxr-xr-x 1 root root 122224 Dec 22 2018 sed lrwxrwxrwx 1 root root 4 Dec 20 21:24 sh -> dash -rwxr-xr-x 1 root root 43808 Sep 23 2020 sleep -rwxr-xr-x 1 root root 84928 Sep 23 2020 stty -rwsr-xr-x 1 root root 71912 Jul 28 07:09 su -rwxr-xr-x 1 root root 39744 Sep 23 2020 sync -rwxr-xr-x 1 root root 531928 Feb 16 2021 tar -rwxr-xr-x 1 root root 14456 Sep 27 2020 tempfile -rwxr-xr-x 1 root root 101408 Sep 23 2020 touch -rwxr-xr-x 1 root root 39680 Sep 23 2020 true -rwxr-xr-x 1 root root 14328 Feb 26 2021 ulockmgr_server -rwsr-xr-x 1 root root 35040 Jul 28 07:09 umount -rwxr-xr-x 1 root root 39744 Sep 23 2020 uname -rwxr-xr-x 2 root root 2346 Mar 2 2021 uncompress -rwxr-xr-x 1 root root 147176 Sep 23 2020 vdir -rwxr-xr-x 1 root root 63744 Jul 28 07:09 wdctl lrwxrwxrwx 1 root root 8 Nov 6 2019 ypdomainname -> hostname -rwxr-xr-x 1 root root 1984 Mar 2 2021 zcat -rwxr-xr-x 1 root root 1678 Mar 2 2021 zcmp -rwxr-xr-x 1 root root 5880 Mar 2 2021 zdiff -rwxr-xr-x 1 root root 29 Mar 2 2021 zegrep -rwxr-xr-x 1 root root 29 Mar 2 2021 zfgrep -rwxr-xr-x 1 root root 2081 Mar 2 2021 zforce -rwxr-xr-x 1 root root 7585 Mar 2 2021 zgrep -rwxr-xr-x 1 root root 2206 Mar 2 2021 zless -rwxr-xr-x 1 root root 1842 Mar 2 2021 zmore -rwxr-xr-x 1 root root 4553 Mar 2 2021 znew I: user script /srv/workspace/pbuilder/862015/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: bc, cmake, bash-completion, debhelper-compat (= 13), dh-python, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4), libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml, doxygen, doxygen-latex dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19655 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on bc; however: Package bc is not installed. pbuilder-satisfydepends-dummy depends on cmake; however: Package cmake is not installed. pbuilder-satisfydepends-dummy depends on bash-completion; however: Package bash-completion is not installed. pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on libboost-dev; however: Package libboost-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-filesystem-dev; however: Package libboost-filesystem-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-system-dev; however: Package libboost-system-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-thread-dev; however: Package libboost-thread-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-python-dev; however: Package libboost-python-dev is not installed. pbuilder-satisfydepends-dummy depends on libgflags-dev; however: Package libgflags-dev is not installed. pbuilder-satisfydepends-dummy depends on libgoogle-glog-dev; however: Package libgoogle-glog-dev is not installed. pbuilder-satisfydepends-dummy depends on libhdf5-dev; however: Package libhdf5-dev is not installed. pbuilder-satisfydepends-dummy depends on libleveldb-dev; however: Package libleveldb-dev is not installed. pbuilder-satisfydepends-dummy depends on liblmdb-dev; however: Package liblmdb-dev is not installed. pbuilder-satisfydepends-dummy depends on libblas-dev | libblas.so; however: Package libblas-dev is not installed. Package libblas.so is not installed. pbuilder-satisfydepends-dummy depends on libopencv-dev (>= 2.4); however: Package libopencv-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotobuf-dev; however: Package libprotobuf-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotoc-dev; however: Package libprotoc-dev is not installed. pbuilder-satisfydepends-dummy depends on libsnappy-dev; however: Package libsnappy-dev is not installed. pbuilder-satisfydepends-dummy depends on protobuf-compiler; however: Package protobuf-compiler is not installed. pbuilder-satisfydepends-dummy depends on python3-dev; however: Package python3-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on cython3; however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on ipython3; however: Package ipython3 is not installed. pbuilder-satisfydepends-dummy depends on python3; however: Package python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-distutils; however: Package python3-distutils is not installed. pbuilder-satisfydepends-dummy depends on python3-skimage; however: Package python3-skimage is not installed. pbuilder-satisfydepends-dummy depends on python3-protobuf; however: Package python3-protobuf is not installed. pbuilder-satisfydepends-dummy depends on python3-dateutil; however: Package python3-dateutil is not installed. pbuilder-satisfydepends-dummy depends on python3-gflags; however: Package python3-gflags is not installed. pbuilder-satisfydepends-dummy depends on python3-h5py; however: Package python3-h5py is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-networkx; however: Package python3-networkx is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-pandas; however: Package python3-pandas is not installed. pbuilder-satisfydepends-dummy depends on python3-pil; however: Package python3-pil is not installed. pbuilder-satisfydepends-dummy depends on python3-pydotplus; however: Package python3-pydotplus is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-yaml; however: Package python3-yaml is not installed. pbuilder-satisfydepends-dummy depends on doxygen; however: Package doxygen is not installed. pbuilder-satisfydepends-dummy depends on doxygen-latex; however: Package doxygen-latex is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: adwaita-icon-theme{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bash-completion{a} bc{a} bsdextrautils{a} cm-super-minimal{a} cmake{a} cmake-data{a} cython3{a} dbus{a} dbus-user-session{a} dconf-gsettings-backend{a} dconf-service{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dmsetup{a} doxygen{a} doxygen-latex{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-lyx{a} fonts-urw-base35{a} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} glib-networking{a} glib-networking-common{a} glib-networking-services{a} graphviz{a} groff-base{a} gsettings-desktop-schemas{a} gtk-update-icon-cache{a} hdf5-helpers{a} hicolor-icon-theme{a} intltool-debian{a} ipython3{a} iso-codes{a} libaec-dev{a} libaec0{a} libann0{a} libaom0{a} libapache-pom-java{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo10{a} libarpack2{a} libatk-bridge2.0-0{a} libatk1.0-0{a} libatk1.0-data{a} libatspi2.0-0{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavcodec-dev{a} libavcodec58{a} libavformat-dev{a} libavformat58{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.74-dev{a} libboost-atomic1.74.0{a} libboost-chrono1.74-dev{a} libboost-chrono1.74.0{a} libboost-date-time1.74-dev{a} libboost-date-time1.74.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.74-dev{a} libboost-filesystem1.74.0{a} libboost-python-dev{a} libboost-python1.74-dev{a} libboost-python1.74.0{a} libboost-serialization1.74-dev{a} libboost-serialization1.74.0{a} libboost-system-dev{a} libboost-system1.74-dev{a} libboost-system1.74.0{a} libboost-thread-dev{a} libboost-thread1.74-dev{a} libboost-thread1.74.0{a} libboost1.74-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcap2-bin{a} libcdt5{a} libcfitsio9{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang-cpp11{a} libclang1-11{a} libcodec2-0.9{a} libcolord2{a} libcommons-logging-java{a} libcommons-parent-java{a} libcryptsetup12{a} libcups2{a} libcurl3-gnutls{a} libcurl4{a} libdap27{a} libdapclient6v5{a} libdatrie1{a} libdav1d4{a} libdbus-1-3{a} libdc1394-25{a} libdc1394-dev{a} libdconf1{a} libde265-0{a} libdebhelper-perl{a} libdeflate-dev{a} libdeflate0{a} libdevmapper1.02.1{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libdw1{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontbox-java{a} libfontconfig1{a} libfontenc1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal28{a} libgdcm-dev{a} libgdcm3.0{a} libgdk-pixbuf-2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.9.0{a} libgeos-c1v5{a} libgeotiff5{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglew2.1{a} libglib2.0-0{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgme0{a} libgoogle-glog-dev{a} libgoogle-glog0v5{a} libgphoto2-6{a} libgphoto2-dev{a} libgphoto2-port12{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgsm1{a} libgstreamer-plugins-base1.0-0{a} libgstreamer1.0-0{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103-1{a} libhdf5-cpp-103-1{a} libhdf5-dev{a} libhdf5-fortran-102{a} libhdf5-hl-100{a} libhdf5-hl-cpp-100{a} libhdf5-hl-fortran-100{a} libheif1{a} libice6{a} libicu67{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase25{a} libimagequant0{a} libip4tc2{a} libjbig-dev{a} libjbig0{a} libjbig2dec0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-c5{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp24{a} libkmlbase1{a} libkmldom1{a} libkmlengine1{a} libkmod2{a} libkpathsea6{a} liblab-gamut1{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} libldap-2.4-2{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm11{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzf1{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmd0{a} libmfx1{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec3{a} libmpg123-0{a} libncurses6{a} libnetcdf18{a} libnghttp2-14{a} libnorm1{a} libnspr4{a} libnss3{a} libnuma1{a} libodbc1{a} libogdi4.1{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d4.5{a} libopencv-contrib-dev{a} libopencv-contrib4.5{a} libopencv-core-dev{a} libopencv-core4.5{a} libopencv-dev{a} libopencv-dnn-dev{a} libopencv-dnn4.5{a} libopencv-features2d-dev{a} libopencv-features2d4.5{a} libopencv-flann-dev{a} libopencv-flann4.5{a} libopencv-highgui-dev{a} libopencv-highgui4.5{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs4.5{a} libopencv-imgproc-dev{a} libopencv-imgproc4.5{a} libopencv-ml-dev{a} libopencv-ml4.5{a} libopencv-objdetect-dev{a} libopencv-objdetect4.5{a} libopencv-photo-dev{a} libopencv-photo4.5{a} libopencv-shape-dev{a} libopencv-shape4.5{a} libopencv-stitching-dev{a} libopencv-stitching4.5{a} libopencv-superres-dev{a} libopencv-superres4.5{a} libopencv-video-dev{a} libopencv-video4.5{a} libopencv-videoio-dev{a} libopencv-videoio4.5{a} libopencv-videostab-dev{a} libopencv-videostab4.5{a} libopencv-viz-dev{a} libopencv-viz4.5{a} libopenexr-dev{a} libopenexr25{a} libopengl0{a} libopenjp2-7{a} libopenmpt0{a} libopus0{a} liborc-0.4-0{a} libpam-systemd{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpciaccess0{a} libpdfbox-java{a} libpgm-5.3-0{a} libpipeline1{a} libpixman-1-0{a} libpng-dev{a} libpng16-16{a} libpoppler102{a} libpq5{a} libprocps8{a} libproj19{a} libprotobuf-dev{a} libprotobuf-lite23{a} libprotobuf23{a} libprotoc-dev{a} libprotoc23{a} libproxy1v5{a} libpsl5{a} libptexenc1{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.9{a} libpython3.9-dev{a} libpython3.9-minimal{a} libpython3.9-stdlib{a} libqhull8.0{a} librabbitmq4{a} libraw1394-11{a} libraw1394-dev{a} libreadline8{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librtmp1{a} librttopo1{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libshine3{a} libsigsegv2{a} libsm6{a} libsnappy-dev{a} libsnappy1v5{a} libsocket++1{a} libsodium23{a} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libsrt1.4-gnutls{a} libssh-gcrypt-4{a} libssh2-1{a} libsub-override-perl{a} libsuperlu5{a} libswresample-dev{a} libswresample3{a} libswscale-dev{a} libswscale5{a} libsynctex2{a} libsz2{a} libtbb-dev{a} libtbb2{a} libtcl8.6{a} libteckit0{a} libtesseract4{a} libtexlua53{a} libtexluajit2{a} libthai-data{a} libthai0{a} libtheora0{a} libtiff-dev{a} libtiff5{a} libtiffxx5{a} libtk8.6{a} libtool{a} libtwolame0{a} libuchardet0{a} libudfread0{a} libunicode-linebreak-perl{a} libunwind-dev{a} libunwind8{a} liburiparser1{a} libusb-1.0-0{a} libuv1{a} libva-drm2{a} libva-x11-2{a} libva2{a} libvdpau1{a} libvorbis0a{a} libvorbisenc2{a} libvorbisfile3{a} libvpx6{a} libvtk9{a} libvulkan1{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-160{a} libx265-192{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-xfixes0{a} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxerces-c3.2{a} libxext6{a} libxfixes3{a} libxft2{a} libxi6{a} libxinerama1{a} libxkbcommon0{a} libxml2{a} libxmu6{a} libxpm4{a} libxrandr2{a} libxrender1{a} libxshmfence1{a} libxss1{a} libxt6{a} libxvidcore4{a} libxxf86vm1{a} libyaml-0-2{a} libz3-4{a} libzmq5{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lmodern{a} m4{a} mailcap{a} man-db{a} mariadb-common{a} media-types{a} mime-support{a} mysql-common{a} ocl-icd-libopencl1{a} odbcinst{a} odbcinst1debian2{a} pkg-config{a} po-debconf{a} poppler-data{a} preview-latex-style{a} procps{a} proj-data{a} protobuf-compiler{a} python-matplotlib-data{a} python3{a} python3-backcall{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-h5py-serial{a} python3-imageio{a} python3-ipython{a} python3-ipython-genutils{a} python3-jedi{a} python3-kiwisolver{a} python3-lib2to3{a} python3-matplotlib{a} python3-minimal{a} python3-networkx{a} python3-nose{a} python3-numpy{a} python3-pandas{a} python3-pandas-lib{a} python3-parso{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-protobuf{a} python3-ptyprocess{a} python3-pydotplus{a} python3-pygments{a} python3-pyparsing{a} python3-pywt{a} python3-scipy{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-tifffile{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.9{a} python3.9-dev{a} python3.9-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{a} systemd-timesyncd{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-extra-utils{a} texlive-font-utils{a} texlive-fonts-recommended{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-luatex{a} texlive-pictures{a} texlive-plain-generic{a} ttf-bitstream-vera{a} ucf{a} x11-common{a} xdg-utils{a} xfonts-encodings{a} xfonts-utils{a} xkb-data{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: at-spi2-core ca-certificates curl dvisvgm fonts-droid-fallback fonts-liberation gstreamer1.0-plugins-base i965-va-driver intel-media-va-driver javascript-common libaacs0 libarchive-cpio-perl libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin libldap-common liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libopencv4.5-java libpam-cap libpng-tools libraw1394-tools librsvg2-common libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lynx mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers opencv-data proj-bin ps2eps psmisc publicsuffix python3-bottleneck python3-bs4 python3-dask python3-gdal python3-html5lib python3-jinja2 python3-lxml python3-numba python3-numexpr python3-odf python3-olefile python3-openpyxl python3-pydot python3-pygraphviz python3-pytest python3-tables python3-tk python3-xlwt ruby tex-gyre tipa tk va-driver-all vdpau-driver-all wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 557 newly installed, 0 to remove and 0 not upgraded. Need to get 564 MB of archives. After unpacking 2058 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian bullseye/main amd64 libapparmor1 amd64 2.13.6-10 [99.3 kB] Get: 2 http://deb.debian.org/debian bullseye/main amd64 libcap2 amd64 1:2.44-1 [23.6 kB] Get: 3 http://deb.debian.org/debian bullseye/main amd64 libargon2-1 amd64 0~20171227-0.2 [19.6 kB] Get: 4 http://deb.debian.org/debian bullseye/main amd64 dmsetup amd64 2:1.02.175-2.1 [92.1 kB] Get: 5 http://deb.debian.org/debian bullseye/main amd64 libdevmapper1.02.1 amd64 2:1.02.175-2.1 [143 kB] Get: 6 http://deb.debian.org/debian bullseye/main amd64 libjson-c5 amd64 0.15-2 [42.8 kB] Get: 7 http://deb.debian.org/debian bullseye/main amd64 libcryptsetup12 amd64 2:2.3.5-1 [244 kB] Get: 8 http://deb.debian.org/debian bullseye/main amd64 libip4tc2 amd64 1.8.7-1 [34.6 kB] Get: 9 http://deb.debian.org/debian bullseye/main amd64 libkmod2 amd64 28-1 [55.6 kB] Get: 10 http://deb.debian.org/debian bullseye/main amd64 systemd-timesyncd amd64 247.3-6 [131 kB] Get: 11 http://deb.debian.org/debian bullseye/main amd64 systemd amd64 247.3-6 [4495 kB] Get: 12 http://deb.debian.org/debian bullseye/main amd64 systemd-sysv amd64 247.3-6 [113 kB] Get: 13 http://deb.debian.org/debian bullseye/main amd64 libdbus-1-3 amd64 1.12.20-2 [219 kB] Get: 14 http://deb.debian.org/debian bullseye/main amd64 libexpat1 amd64 2.2.10-2 [96.9 kB] Get: 15 http://deb.debian.org/debian bullseye/main amd64 dbus amd64 1.12.20-2 [239 kB] Get: 16 http://deb.debian.org/debian bullseye/main amd64 bsdextrautils amd64 2.36.1-8 [145 kB] Get: 17 http://deb.debian.org/debian bullseye/main amd64 libuchardet0 amd64 0.0.7-1 [67.8 kB] Get: 18 http://deb.debian.org/debian bullseye/main amd64 groff-base amd64 1.22.4-6 [936 kB] Get: 19 http://deb.debian.org/debian bullseye/main amd64 libpipeline1 amd64 1.5.3-1 [34.3 kB] Get: 20 http://deb.debian.org/debian bullseye/main amd64 man-db amd64 2.9.4-2 [1354 kB] Get: 21 http://deb.debian.org/debian bullseye/main amd64 poppler-data all 0.4.10-1 [1602 kB] Get: 22 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-minimal amd64 3.9.2-1 [801 kB] Get: 23 http://deb.debian.org/debian bullseye/main amd64 python3.9-minimal amd64 3.9.2-1 [1955 kB] Get: 24 http://deb.debian.org/debian bullseye/main amd64 python3-minimal amd64 3.9.2-3 [38.2 kB] Get: 25 http://deb.debian.org/debian bullseye/main amd64 media-types all 4.0.0 [30.3 kB] Get: 26 http://deb.debian.org/debian bullseye/main amd64 mailcap all 3.69 [31.7 kB] Get: 27 http://deb.debian.org/debian bullseye/main amd64 mime-support all 3.66 [10.9 kB] Get: 28 http://deb.debian.org/debian bullseye/main amd64 libmpdec3 amd64 2.5.1-1 [87.7 kB] Get: 29 http://deb.debian.org/debian bullseye/main amd64 readline-common all 8.1-1 [73.7 kB] Get: 30 http://deb.debian.org/debian bullseye/main amd64 libreadline8 amd64 8.1-1 [169 kB] Get: 31 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-stdlib amd64 3.9.2-1 [1684 kB] Get: 32 http://deb.debian.org/debian bullseye/main amd64 python3.9 amd64 3.9.2-1 [466 kB] Get: 33 http://deb.debian.org/debian bullseye/main amd64 libpython3-stdlib amd64 3.9.2-3 [21.4 kB] Get: 34 http://deb.debian.org/debian bullseye/main amd64 python3 amd64 3.9.2-3 [37.9 kB] Get: 35 http://deb.debian.org/debian bullseye/main amd64 sensible-utils all 0.0.14 [14.8 kB] Get: 36 http://deb.debian.org/debian bullseye/main amd64 ucf all 3.0043 [74.0 kB] Get: 37 http://deb.debian.org/debian bullseye/main amd64 tex-common all 6.16 [53.7 kB] Get: 38 http://deb.debian.org/debian bullseye/main amd64 libncurses6 amd64 6.2+20201114-2 [102 kB] Get: 39 http://deb.debian.org/debian bullseye/main amd64 libprocps8 amd64 2:3.3.17-5 [63.9 kB] Get: 40 http://deb.debian.org/debian bullseye/main amd64 procps amd64 2:3.3.17-5 [502 kB] Get: 41 http://deb.debian.org/debian bullseye/main amd64 bash-completion all 1:2.11-2 [234 kB] Get: 42 http://deb.debian.org/debian bullseye/main amd64 libmagic-mgc amd64 1:5.39-3 [273 kB] Get: 43 http://deb.debian.org/debian bullseye/main amd64 libmagic1 amd64 1:5.39-3 [126 kB] Get: 44 http://deb.debian.org/debian bullseye/main amd64 file amd64 1:5.39-3 [69.1 kB] Get: 45 http://deb.debian.org/debian bullseye/main amd64 gettext-base amd64 0.21-4 [175 kB] Get: 46 http://deb.debian.org/debian bullseye/main amd64 libpam-systemd amd64 247.3-6 [282 kB] Get: 47 http://deb.debian.org/debian bullseye/main amd64 hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 48 http://deb.debian.org/debian bullseye/main amd64 libgdk-pixbuf2.0-common all 2.42.2+dfsg-1 [320 kB] Get: 49 http://deb.debian.org/debian bullseye/main amd64 libglib2.0-0 amd64 2.66.8-1 [1370 kB] Get: 50 http://deb.debian.org/debian bullseye/main amd64 libicu67 amd64 67.1-7 [8622 kB] Get: 51 http://deb.debian.org/debian bullseye/main amd64 libxml2 amd64 2.9.10+dfsg-6.7 [693 kB] Get: 52 http://deb.debian.org/debian bullseye/main amd64 shared-mime-info amd64 2.0-1 [701 kB] Get: 53 http://deb.debian.org/debian bullseye/main amd64 libjpeg62-turbo amd64 1:2.0.6-4 [151 kB] Get: 54 http://deb.debian.org/debian bullseye/main amd64 libpng16-16 amd64 1.6.37-3 [294 kB] Get: 55 http://deb.debian.org/debian bullseye/main amd64 libdeflate0 amd64 1.7-1 [53.1 kB] Get: 56 http://deb.debian.org/debian bullseye/main amd64 libjbig0 amd64 2.1-3.1+b2 [31.0 kB] Get: 57 http://deb.debian.org/debian bullseye/main amd64 libwebp6 amd64 0.6.1-2.1 [258 kB] Get: 58 http://deb.debian.org/debian bullseye/main amd64 libtiff5 amd64 4.2.0-1 [289 kB] Get: 59 http://deb.debian.org/debian bullseye/main amd64 libgdk-pixbuf-2.0-0 amd64 2.42.2+dfsg-1 [146 kB] Get: 60 http://deb.debian.org/debian bullseye/main amd64 gtk-update-icon-cache amd64 3.24.24-4 [87.5 kB] Get: 61 http://deb.debian.org/debian bullseye/main amd64 adwaita-icon-theme all 3.38.0-1 [10.9 MB] Get: 62 http://deb.debian.org/debian bullseye/main amd64 libsigsegv2 amd64 2.13-1 [34.8 kB] Get: 63 http://deb.debian.org/debian bullseye/main amd64 m4 amd64 1.4.18-5 [204 kB] Get: 64 http://deb.debian.org/debian bullseye/main amd64 autoconf all 2.69-14 [313 kB] Get: 65 http://deb.debian.org/debian bullseye/main amd64 autotools-dev all 20180224.1+nmu1 [77.1 kB] Get: 66 http://deb.debian.org/debian bullseye/main amd64 automake all 1:1.16.3-2 [814 kB] Get: 67 http://deb.debian.org/debian bullseye/main amd64 autopoint all 0.21-4 [510 kB] Get: 68 http://deb.debian.org/debian bullseye/main amd64 bc amd64 1.07.1-2+b2 [109 kB] Get: 69 http://deb.debian.org/debian bullseye/main amd64 libpaper1 amd64 1.1.28+b1 [21.6 kB] Get: 70 http://deb.debian.org/debian bullseye/main amd64 libpaper-utils amd64 1.1.28+b1 [18.3 kB] Get: 71 http://deb.debian.org/debian bullseye/main amd64 libkpathsea6 amd64 2020.20200327.54578-7 [172 kB] Get: 72 http://deb.debian.org/debian bullseye/main amd64 libptexenc1 amd64 2020.20200327.54578-7 [64.5 kB] Get: 73 http://deb.debian.org/debian bullseye/main amd64 libsynctex2 amd64 2020.20200327.54578-7 [83.2 kB] Get: 74 http://deb.debian.org/debian bullseye/main amd64 libtexlua53 amd64 2020.20200327.54578-7 [132 kB] Get: 75 http://deb.debian.org/debian bullseye/main amd64 libtexluajit2 amd64 2020.20200327.54578-7 [267 kB] Get: 76 http://deb.debian.org/debian bullseye/main amd64 t1utils amd64 1.41-4 [62.1 kB] Get: 77 http://deb.debian.org/debian bullseye/main amd64 libbrotli1 amd64 1.0.9-2+b2 [279 kB] Get: 78 http://deb.debian.org/debian bullseye/main amd64 libfreetype6 amd64 2.10.4+dfsg-1 [418 kB] Get: 79 http://deb.debian.org/debian bullseye/main amd64 fonts-dejavu-core all 2.37-2 [1069 kB] Get: 80 http://deb.debian.org/debian bullseye/main amd64 ttf-bitstream-vera all 1.10-8.1 [223 kB] Get: 81 http://deb.debian.org/debian bullseye/main amd64 fonts-urw-base35 all 20200910-1 [6367 kB] Get: 82 http://deb.debian.org/debian bullseye/main amd64 fontconfig-config all 2.13.1-4.2 [281 kB] Get: 83 http://deb.debian.org/debian bullseye/main amd64 libfontconfig1 amd64 2.13.1-4.2 [347 kB] Get: 84 http://deb.debian.org/debian bullseye/main amd64 libpixman-1-0 amd64 0.40.0-1 [543 kB] Get: 85 http://deb.debian.org/debian bullseye/main amd64 libxau6 amd64 1:1.0.9-1 [19.7 kB] Get: 86 http://deb.debian.org/debian bullseye/main amd64 libmd0 amd64 1.0.3-3 [28.0 kB] Get: 87 http://deb.debian.org/debian bullseye/main amd64 libbsd0 amd64 0.11.3-1 [108 kB] Get: 88 http://deb.debian.org/debian bullseye/main amd64 libxdmcp6 amd64 1:1.1.2-3 [26.3 kB] Get: 89 http://deb.debian.org/debian bullseye/main amd64 libxcb1 amd64 1.14-3 [140 kB] Get: 90 http://deb.debian.org/debian bullseye/main amd64 libx11-data all 2:1.7.2-1 [311 kB] Get: 91 http://deb.debian.org/debian bullseye/main amd64 libx11-6 amd64 2:1.7.2-1 [772 kB] Get: 92 http://deb.debian.org/debian bullseye/main amd64 libxcb-render0 amd64 1.14-3 [111 kB] Get: 93 http://deb.debian.org/debian bullseye/main amd64 libxcb-shm0 amd64 1.14-3 [101 kB] Get: 94 http://deb.debian.org/debian bullseye/main amd64 libxext6 amd64 2:1.3.3-1.1 [52.7 kB] Get: 95 http://deb.debian.org/debian bullseye/main amd64 libxrender1 amd64 1:0.9.10-1 [33.0 kB] Get: 96 http://deb.debian.org/debian bullseye/main amd64 libcairo2 amd64 1.16.0-5 [694 kB] Get: 97 http://deb.debian.org/debian bullseye/main amd64 libgraphite2-3 amd64 1.3.14-1 [81.2 kB] Get: 98 http://deb.debian.org/debian bullseye/main amd64 libharfbuzz0b amd64 2.7.4-1 [1471 kB] Get: 99 http://deb.debian.org/debian bullseye/main amd64 libteckit0 amd64 2.5.10+ds1-3 [329 kB] Get: 100 http://deb.debian.org/debian bullseye/main amd64 x11-common all 1:7.7+22 [252 kB] Get: 101 http://deb.debian.org/debian bullseye/main amd64 libice6 amd64 2:1.0.10-1 [58.5 kB] Get: 102 http://deb.debian.org/debian bullseye/main amd64 libsm6 amd64 2:1.2.3-1 [35.1 kB] Get: 103 http://deb.debian.org/debian bullseye/main amd64 libxt6 amd64 1:1.2.0-1 [189 kB] Get: 104 http://deb.debian.org/debian bullseye/main amd64 libxmu6 amd64 2:1.1.2-2+b3 [60.8 kB] Get: 105 http://deb.debian.org/debian bullseye/main amd64 libxpm4 amd64 1:3.5.12-1 [49.1 kB] Get: 106 http://deb.debian.org/debian bullseye/main amd64 libxaw7 amd64 2:1.0.13-1.1 [202 kB] Get: 107 http://deb.debian.org/debian bullseye/main amd64 libxi6 amd64 2:1.7.10-1 [83.4 kB] Get: 108 http://deb.debian.org/debian bullseye/main amd64 libzzip-0-13 amd64 0.13.62-3.3 [55.7 kB] Get: 109 http://deb.debian.org/debian bullseye/main amd64 texlive-binaries amd64 2020.20200327.54578-7 [10.1 MB] Get: 110 http://deb.debian.org/debian bullseye/main amd64 xdg-utils all 1.1.3-4.1 [75.5 kB] Get: 111 http://deb.debian.org/debian bullseye/main amd64 texlive-base all 2020.20210202-3 [20.8 MB] Get: 112 http://deb.debian.org/debian bullseye/main amd64 fonts-lmodern all 2.004.5-6.1 [4540 kB] Get: 113 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-base all 2020.20210202-3 [1120 kB] Get: 114 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-recommended all 2020.20210202-3 [14.5 MB] Get: 115 http://deb.debian.org/debian bullseye/main amd64 cm-super-minimal all 0.3.4-15 [5815 kB] Get: 116 http://deb.debian.org/debian bullseye/main amd64 cmake-data all 3.18.4-2+deb11u1 [1725 kB] Get: 117 http://deb.debian.org/debian bullseye/main amd64 libarchive13 amd64 3.4.3-2+b1 [343 kB] Get: 118 http://deb.debian.org/debian bullseye/main amd64 libsasl2-modules-db amd64 2.1.27+dfsg-2.1 [69.1 kB] Get: 119 http://deb.debian.org/debian bullseye/main amd64 libsasl2-2 amd64 2.1.27+dfsg-2.1 [106 kB] Get: 120 http://deb.debian.org/debian bullseye/main amd64 libldap-2.4-2 amd64 2.4.57+dfsg-3 [232 kB] Get: 121 http://deb.debian.org/debian bullseye/main amd64 libnghttp2-14 amd64 1.43.0-1 [77.1 kB] Get: 122 http://deb.debian.org/debian bullseye/main amd64 libpsl5 amd64 0.21.0-1.2 [57.3 kB] Get: 123 http://deb.debian.org/debian bullseye/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b2 [60.8 kB] Get: 124 http://deb.debian.org/debian bullseye/main amd64 libssh2-1 amd64 1.9.0-2 [156 kB] Get: 125 http://deb.debian.org/debian bullseye/main amd64 libcurl4 amd64 7.74.0-1.3+deb11u1 [341 kB] Get: 126 http://deb.debian.org/debian bullseye/main amd64 libjsoncpp24 amd64 1.9.4-4 [78.9 kB] Get: 127 http://deb.debian.org/debian bullseye/main amd64 librhash0 amd64 1.4.1-2 [129 kB] Get: 128 http://deb.debian.org/debian bullseye/main amd64 libuv1 amd64 1.40.0-2 [132 kB] Get: 129 http://deb.debian.org/debian bullseye/main amd64 cmake amd64 3.18.4-2+deb11u1 [5593 kB] Get: 130 http://deb.debian.org/debian bullseye/main amd64 cython3 amd64 0.29.21-3+b1 [1312 kB] Get: 131 http://deb.debian.org/debian bullseye/main amd64 dbus-user-session amd64 1.12.20-2 [96.2 kB] Get: 132 http://deb.debian.org/debian bullseye/main amd64 libdconf1 amd64 0.38.0-2 [43.5 kB] Get: 133 http://deb.debian.org/debian bullseye/main amd64 dconf-service amd64 0.38.0-2 [37.4 kB] Get: 134 http://deb.debian.org/debian bullseye/main amd64 dconf-gsettings-backend amd64 0.38.0-2 [30.6 kB] Get: 135 http://deb.debian.org/debian bullseye/main amd64 libdebhelper-perl all 13.3.4 [189 kB] Get: 136 http://deb.debian.org/debian bullseye/main amd64 libtool all 2.4.6-15 [513 kB] Get: 137 http://deb.debian.org/debian bullseye/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 138 http://deb.debian.org/debian bullseye/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 139 http://deb.debian.org/debian bullseye/main amd64 libsub-override-perl all 0.09-2 [10.2 kB] Get: 140 http://deb.debian.org/debian bullseye/main amd64 libfile-stripnondeterminism-perl all 1.12.0-1 [26.3 kB] Get: 141 http://deb.debian.org/debian bullseye/main amd64 dh-strip-nondeterminism all 1.12.0-1 [15.4 kB] Get: 142 http://deb.debian.org/debian bullseye/main amd64 libelf1 amd64 0.183-1 [165 kB] Get: 143 http://deb.debian.org/debian bullseye/main amd64 dwz amd64 0.13+20210201-1 [175 kB] Get: 144 http://deb.debian.org/debian bullseye/main amd64 gettext amd64 0.21-4 [1311 kB] Get: 145 http://deb.debian.org/debian bullseye/main amd64 intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 146 http://deb.debian.org/debian bullseye/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 147 http://deb.debian.org/debian bullseye/main amd64 debhelper all 13.3.4 [1049 kB] Get: 148 http://deb.debian.org/debian bullseye/main amd64 python3-lib2to3 all 3.9.2-1 [77.8 kB] Get: 149 http://deb.debian.org/debian bullseye/main amd64 python3-distutils all 3.9.2-1 [143 kB] Get: 150 http://deb.debian.org/debian bullseye/main amd64 dh-python all 4.20201102+nmu1 [99.4 kB] Get: 151 http://deb.debian.org/debian bullseye/main amd64 libedit2 amd64 3.1-20191231-2+b1 [96.7 kB] Get: 152 http://deb.debian.org/debian bullseye/main amd64 libz3-4 amd64 4.8.10-1 [6949 kB] Get: 153 http://deb.debian.org/debian bullseye/main amd64 libllvm11 amd64 1:11.0.1-2 [17.9 MB] Get: 154 http://deb.debian.org/debian bullseye/main amd64 libclang-cpp11 amd64 1:11.0.1-2 [9632 kB] Get: 155 http://deb.debian.org/debian bullseye/main amd64 libclang1-11 amd64 1:11.0.1-2 [5521 kB] Get: 156 http://deb.debian.org/debian bullseye/main amd64 doxygen amd64 1.9.1-1 [4232 kB] Get: 157 http://deb.debian.org/debian bullseye/main amd64 libthai-data all 0.1.28-3 [170 kB] Get: 158 http://deb.debian.org/debian bullseye/main amd64 libdatrie1 amd64 0.2.13-1 [42.7 kB] Get: 159 http://deb.debian.org/debian bullseye/main amd64 libthai0 amd64 0.1.28-3 [54.2 kB] Get: 160 http://deb.debian.org/debian bullseye/main amd64 libsombok3 amd64 2.4.0-2+b1 [31.4 kB] Get: 161 http://deb.debian.org/debian bullseye/main amd64 libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 162 http://deb.debian.org/debian bullseye/main amd64 libunicode-linebreak-perl amd64 0.0.20190101-1+b3 [102 kB] Get: 163 http://deb.debian.org/debian bullseye/main amd64 libjs-jquery all 3.5.1+dfsg+~3.5.5-7 [315 kB] Get: 164 http://deb.debian.org/debian bullseye/main amd64 libfontenc1 amd64 1:1.1.4-1 [24.3 kB] Get: 165 http://deb.debian.org/debian bullseye/main amd64 xfonts-encodings all 1:1.0.4-2.1 [573 kB] Get: 166 http://deb.debian.org/debian bullseye/main amd64 xfonts-utils amd64 1:7.7+6 [93.0 kB] Get: 167 http://deb.debian.org/debian bullseye/main amd64 lmodern all 2.004.5-6.1 [9489 kB] Get: 168 http://deb.debian.org/debian bullseye/main amd64 texlive-luatex all 2020.20210202-3 [14.4 MB] Get: 169 http://deb.debian.org/debian bullseye/main amd64 texlive-plain-generic all 2020.20210202-3 [27.0 MB] Get: 170 http://deb.debian.org/debian bullseye/main amd64 texlive-extra-utils all 2020.20210202-3 [55.5 MB] Get: 171 http://deb.debian.org/debian bullseye/main amd64 libapache-pom-java all 18-1 [4676 B] Get: 172 http://deb.debian.org/debian bullseye/main amd64 libcommons-parent-java all 43-1 [10.8 kB] Get: 173 http://deb.debian.org/debian bullseye/main amd64 libcommons-logging-java all 1.2-2 [62.2 kB] Get: 174 http://deb.debian.org/debian bullseye/main amd64 libfontbox-java all 1:1.8.16-2 [211 kB] Get: 175 http://deb.debian.org/debian bullseye/main amd64 libpdfbox-java all 1:1.8.16-2 [5205 kB] Get: 176 http://deb.debian.org/debian bullseye/main amd64 preview-latex-style all 12.2-1 [201 kB] Get: 177 http://deb.debian.org/debian bullseye/main amd64 texlive-pictures all 2020.20210202-3 [6743 kB] Get: 178 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-extra all 2020.20210202-3 [13.7 MB] Get: 179 http://deb.debian.org/debian bullseye/main amd64 texlive-font-utils all 2020.20210202-3 [4672 kB] Get: 180 http://deb.debian.org/debian bullseye/main amd64 libgs9-common all 9.53.3~dfsg-7+deb11u1 [734 kB] Get: 181 http://deb.debian.org/debian bullseye/main amd64 libavahi-common-data amd64 0.8-5 [124 kB] Get: 182 http://deb.debian.org/debian bullseye/main amd64 libavahi-common3 amd64 0.8-5 [58.4 kB] Get: 183 http://deb.debian.org/debian bullseye/main amd64 libavahi-client3 amd64 0.8-5 [62.1 kB] Get: 184 http://deb.debian.org/debian bullseye/main amd64 libcups2 amd64 2.3.3op2-3+deb11u1 [350 kB] Get: 185 http://deb.debian.org/debian bullseye/main amd64 libidn11 amd64 1.33-3 [116 kB] Get: 186 http://deb.debian.org/debian bullseye/main amd64 libijs-0.35 amd64 0.35-15 [16.4 kB] Get: 187 http://deb.debian.org/debian bullseye/main amd64 libjbig2dec0 amd64 0.19-2 [67.2 kB] Get: 188 http://deb.debian.org/debian bullseye/main amd64 liblcms2-2 amd64 2.12~rc1-2 [150 kB] Get: 189 http://deb.debian.org/debian bullseye/main amd64 libopenjp2-7 amd64 2.4.0-3 [172 kB] Get: 190 http://deb.debian.org/debian bullseye/main amd64 libgs9 amd64 9.53.3~dfsg-7+deb11u1 [2248 kB] Get: 191 http://deb.debian.org/debian bullseye/main amd64 ghostscript amd64 9.53.3~dfsg-7+deb11u1 [97.9 kB] Get: 192 http://deb.debian.org/debian bullseye/main amd64 texlive-fonts-recommended all 2020.20210202-3 [5002 kB] Get: 193 http://deb.debian.org/debian bullseye/main amd64 doxygen-latex all 1.9.1-1 [298 kB] Get: 194 http://deb.debian.org/debian bullseye/main amd64 fontconfig amd64 2.13.1-4.2 [417 kB] Get: 195 http://deb.debian.org/debian bullseye/main amd64 fonts-lyx all 2.3.6-1 [205 kB] Get: 196 http://deb.debian.org/debian bullseye/main amd64 gdal-data all 3.2.2+dfsg-2+deb11u1 [462 kB] Get: 197 http://deb.debian.org/debian bullseye/main amd64 libproxy1v5 amd64 0.4.17-1 [59.5 kB] Get: 198 http://deb.debian.org/debian bullseye/main amd64 glib-networking-common all 2.66.0-2 [68.1 kB] Get: 199 http://deb.debian.org/debian bullseye/main amd64 glib-networking-services amd64 2.66.0-2 [17.5 kB] Get: 200 http://deb.debian.org/debian bullseye/main amd64 gsettings-desktop-schemas all 3.38.0-2 [588 kB] Get: 201 http://deb.debian.org/debian bullseye/main amd64 glib-networking amd64 2.66.0-2 [67.6 kB] Get: 202 http://deb.debian.org/debian bullseye/main amd64 libann0 amd64 1.1.2+doc-7 [25.3 kB] Get: 203 http://deb.debian.org/debian bullseye/main amd64 libcdt5 amd64 2.42.2-5 [62.2 kB] Get: 204 http://deb.debian.org/debian bullseye/main amd64 libcgraph6 amd64 2.42.2-5 [85.5 kB] Get: 205 http://deb.debian.org/debian bullseye/main amd64 libgd3 amd64 2.3.0-2 [137 kB] Get: 206 http://deb.debian.org/debian bullseye/main amd64 libgts-0.7-5 amd64 0.7.6+darcs121130-4+b1 [158 kB] Get: 207 http://deb.debian.org/debian bullseye/main amd64 libltdl7 amd64 2.4.6-15 [391 kB] Get: 208 http://deb.debian.org/debian bullseye/main amd64 libfribidi0 amd64 1.0.8-2 [64.8 kB] Get: 209 http://deb.debian.org/debian bullseye/main amd64 libpango-1.0-0 amd64 1.46.2-3 [191 kB] Get: 210 http://deb.debian.org/debian bullseye/main amd64 libpangoft2-1.0-0 amd64 1.46.2-3 [62.2 kB] Get: 211 http://deb.debian.org/debian bullseye/main amd64 libpangocairo-1.0-0 amd64 1.46.2-3 [50.6 kB] Get: 212 http://deb.debian.org/debian bullseye/main amd64 libpathplan4 amd64 2.42.2-5 [64.3 kB] Get: 213 http://deb.debian.org/debian bullseye/main amd64 libgvc6 amd64 2.42.2-5 [695 kB] Get: 214 http://deb.debian.org/debian bullseye/main amd64 libgvpr2 amd64 2.42.2-5 [212 kB] Get: 215 http://deb.debian.org/debian bullseye/main amd64 liblab-gamut1 amd64 2.42.2-5 [221 kB] Get: 216 http://deb.debian.org/debian bullseye/main amd64 graphviz amd64 2.42.2-5 [632 kB] Get: 217 http://deb.debian.org/debian bullseye/main amd64 hdf5-helpers amd64 1.10.6+repack-4+deb11u1 [40.4 kB] Get: 218 http://deb.debian.org/debian bullseye/main amd64 python3-backcall all 0.2.0-1 [10.7 kB] Get: 219 http://deb.debian.org/debian bullseye/main amd64 python3-decorator all 4.4.2-2 [15.8 kB] Get: 220 http://deb.debian.org/debian bullseye/main amd64 python3-parso all 0.8.1-1 [65.9 kB] Get: 221 http://deb.debian.org/debian bullseye/main amd64 python3-jedi all 0.18.0-1 [620 kB] Get: 222 http://deb.debian.org/debian bullseye/main amd64 python3-ptyprocess all 0.7.0-1 [13.6 kB] Get: 223 http://deb.debian.org/debian bullseye/main amd64 python3-pexpect all 4.8.0-2 [54.9 kB] Get: 224 http://deb.debian.org/debian bullseye/main amd64 python3-pickleshare all 0.7.5-3 [7604 B] Get: 225 http://deb.debian.org/debian bullseye/main amd64 python3-pkg-resources all 52.0.0-4 [190 kB] Get: 226 http://deb.debian.org/debian bullseye/main amd64 python3-wcwidth all 0.1.9+dfsg1-2 [18.2 kB] Get: 227 http://deb.debian.org/debian bullseye/main amd64 python3-prompt-toolkit all 3.0.14-1 [258 kB] Get: 228 http://deb.debian.org/debian bullseye/main amd64 python3-pygments all 2.7.1+dfsg-2.1 [657 kB] Get: 229 http://deb.debian.org/debian bullseye/main amd64 python3-ipython-genutils all 0.2.0-4 [21.4 kB] Get: 230 http://deb.debian.org/debian bullseye/main amd64 python3-traitlets all 5.0.5-1 [84.4 kB] Get: 231 http://deb.debian.org/debian bullseye/main amd64 python3-ipython all 7.20.0-1 [517 kB] Get: 232 http://deb.debian.org/debian bullseye/main amd64 ipython3 all 7.20.0-1 [24.8 kB] Get: 233 http://deb.debian.org/debian bullseye/main amd64 iso-codes all 4.6.0-1 [2824 kB] Get: 234 http://deb.debian.org/debian bullseye/main amd64 libaec0 amd64 1.0.4-1 [20.3 kB] Get: 235 http://deb.debian.org/debian bullseye/main amd64 libsz2 amd64 1.0.4-1 [6760 B] Get: 236 http://deb.debian.org/debian bullseye/main amd64 libaec-dev amd64 1.0.4-1 [18.7 kB] Get: 237 http://deb.debian.org/debian bullseye/main amd64 libaom0 amd64 1.0.0.errata1-3 [1158 kB] Get: 238 http://deb.debian.org/debian bullseye/main amd64 libblas3 amd64 3.9.0-3 [153 kB] Get: 239 http://deb.debian.org/debian bullseye/main amd64 libgfortran5 amd64 10.2.1-6 [727 kB] Get: 240 http://deb.debian.org/debian bullseye/main amd64 liblapack3 amd64 3.9.0-3 [2166 kB] Get: 241 http://deb.debian.org/debian bullseye/main amd64 libarpack2 amd64 3.8.0-1 [103 kB] Get: 242 http://deb.debian.org/debian bullseye/main amd64 libsuperlu5 amd64 5.2.2+dfsg1-2 [163 kB] Get: 243 http://deb.debian.org/debian bullseye/main amd64 libarmadillo10 amd64 1:10.1.2+dfsg-6+b1 [98.8 kB] Get: 244 http://deb.debian.org/debian bullseye/main amd64 libatk1.0-data all 2.36.0-2 [149 kB] Get: 245 http://deb.debian.org/debian bullseye/main amd64 libatk1.0-0 amd64 2.36.0-2 [52.2 kB] Get: 246 http://deb.debian.org/debian bullseye/main amd64 libatspi2.0-0 amd64 2.38.0-4 [72.4 kB] Get: 247 http://deb.debian.org/debian bullseye/main amd64 libatk-bridge2.0-0 amd64 2.38.0-1 [64.6 kB] Get: 248 http://deb.debian.org/debian bullseye/main amd64 libdrm-common all 2.4.104-1 [14.9 kB] Get: 249 http://deb.debian.org/debian bullseye/main amd64 libdrm2 amd64 2.4.104-1 [41.5 kB] Get: 250 http://deb.debian.org/debian bullseye/main amd64 libva2 amd64 2.10.0-1 [68.7 kB] Get: 251 http://deb.debian.org/debian bullseye/main amd64 libmfx1 amd64 21.1.0-1 [3289 kB] Get: 252 http://deb.debian.org/debian bullseye/main amd64 libva-drm2 amd64 2.10.0-1 [19.0 kB] Get: 253 http://deb.debian.org/debian bullseye/main amd64 libxfixes3 amd64 1:5.0.3-2 [22.1 kB] Get: 254 http://deb.debian.org/debian bullseye/main amd64 libva-x11-2 amd64 2.10.0-1 [24.0 kB] Get: 255 http://deb.debian.org/debian bullseye/main amd64 libvdpau1 amd64 1.4-3 [29.4 kB] Get: 256 http://deb.debian.org/debian bullseye/main amd64 ocl-icd-libopencl1 amd64 2.2.14-2 [42.5 kB] Get: 257 http://deb.debian.org/debian bullseye/main amd64 libavutil56 amd64 7:4.3.3-0+deb11u1 [309 kB] Get: 258 http://deb.debian.org/debian bullseye/main amd64 libcodec2-0.9 amd64 0.9.2-4 [7890 kB] Get: 259 http://deb.debian.org/debian bullseye/main amd64 libdav1d4 amd64 0.7.1-3 [333 kB] Get: 260 http://deb.debian.org/debian bullseye/main amd64 libgsm1 amd64 1.0.18-2 [27.7 kB] Get: 261 http://deb.debian.org/debian bullseye/main amd64 libmp3lame0 amd64 3.100-3 [364 kB] Get: 262 http://deb.debian.org/debian bullseye/main amd64 libopus0 amd64 1.3.1-0.1 [190 kB] Get: 263 http://deb.debian.org/debian bullseye/main amd64 libcairo-gobject2 amd64 1.16.0-5 [125 kB] Get: 264 http://deb.debian.org/debian bullseye/main amd64 librsvg2-2 amd64 2.50.3+dfsg-1 [2460 kB] Get: 265 http://deb.debian.org/debian bullseye/main amd64 libshine3 amd64 3.1.1-2 [23.6 kB] Get: 266 http://deb.debian.org/debian bullseye/main amd64 libsnappy1v5 amd64 1.1.8-1 [17.9 kB] Get: 267 http://deb.debian.org/debian bullseye/main amd64 libspeex1 amd64 1.2~rc1.2-1.1 [55.4 kB] Get: 268 http://deb.debian.org/debian bullseye/main amd64 libsoxr0 amd64 0.1.3-4 [77.8 kB] Get: 269 http://deb.debian.org/debian bullseye/main amd64 libswresample3 amd64 7:4.3.3-0+deb11u1 [107 kB] Get: 270 http://deb.debian.org/debian bullseye/main amd64 libogg0 amd64 1.3.4-0.1 [27.3 kB] Get: 271 http://deb.debian.org/debian bullseye/main amd64 libtheora0 amd64 1.1.1+dfsg.1-15 [169 kB] Get: 272 http://deb.debian.org/debian bullseye/main amd64 libtwolame0 amd64 0.4.0-2 [51.1 kB] Get: 273 http://deb.debian.org/debian bullseye/main amd64 libvorbis0a amd64 1.3.7-1 [93.0 kB] Get: 274 http://deb.debian.org/debian bullseye/main amd64 libvorbisenc2 amd64 1.3.7-1 [80.6 kB] Get: 275 http://deb.debian.org/debian bullseye/main amd64 libvpx6 amd64 1.9.0-1 [829 kB] Get: 276 http://deb.debian.org/debian bullseye/main amd64 libwavpack1 amd64 5.4.0-1 [87.8 kB] Get: 277 http://deb.debian.org/debian bullseye/main amd64 libwebpmux3 amd64 0.6.1-2.1 [97.6 kB] Get: 278 http://deb.debian.org/debian bullseye/main amd64 libx264-160 amd64 2:0.160.3011+gitcde9a93-2.1 [539 kB] Get: 279 http://deb.debian.org/debian bullseye/main amd64 libnuma1 amd64 2.0.12-1+b1 [26.3 kB] Get: 280 http://deb.debian.org/debian bullseye/main amd64 libx265-192 amd64 3.4-2 [1095 kB] Get: 281 http://deb.debian.org/debian bullseye/main amd64 libxvidcore4 amd64 2:1.3.7-1 [242 kB] Get: 282 http://deb.debian.org/debian bullseye/main amd64 libzvbi-common all 0.2.35-18 [64.6 kB] Get: 283 http://deb.debian.org/debian bullseye/main amd64 libzvbi0 amd64 0.2.35-18 [271 kB] Get: 284 http://deb.debian.org/debian bullseye/main amd64 libavcodec58 amd64 7:4.3.3-0+deb11u1 [4956 kB] Get: 285 http://deb.debian.org/debian bullseye/main amd64 libavutil-dev amd64 7:4.3.3-0+deb11u1 [437 kB] Get: 286 http://deb.debian.org/debian bullseye/main amd64 libswresample-dev amd64 7:4.3.3-0+deb11u1 [120 kB] Get: 287 http://deb.debian.org/debian bullseye/main amd64 libavcodec-dev amd64 7:4.3.3-0+deb11u1 [5508 kB] Get: 288 http://deb.debian.org/debian bullseye/main amd64 libudfread0 amd64 1.1.1-1 [16.4 kB] Get: 289 http://deb.debian.org/debian bullseye/main amd64 libbluray2 amd64 1:1.2.1-4+deb11u1 [139 kB] Get: 290 http://deb.debian.org/debian bullseye/main amd64 libchromaprint1 amd64 1.5.0-2 [40.8 kB] Get: 291 http://deb.debian.org/debian bullseye/main amd64 libgme0 amd64 0.6.3-2 [128 kB] Get: 292 http://deb.debian.org/debian bullseye/main amd64 libmpg123-0 amd64 1.26.4-1 [142 kB] Get: 293 http://deb.debian.org/debian bullseye/main amd64 libvorbisfile3 amd64 1.3.7-1 [26.1 kB] Get: 294 http://deb.debian.org/debian bullseye/main amd64 libopenmpt0 amd64 0.4.11-1 [616 kB] Get: 295 http://deb.debian.org/debian bullseye/main amd64 librabbitmq4 amd64 0.10.0-1 [41.0 kB] Get: 296 http://deb.debian.org/debian bullseye/main amd64 libsrt1.4-gnutls amd64 1.4.2-1.3 [271 kB] Get: 297 http://deb.debian.org/debian bullseye/main amd64 libssh-gcrypt-4 amd64 0.9.5-1+deb11u1 [218 kB] Get: 298 http://deb.debian.org/debian bullseye/main amd64 libnorm1 amd64 1.5.9+dfsg-2 [221 kB] Get: 299 http://deb.debian.org/debian bullseye/main amd64 libpgm-5.3-0 amd64 5.3.128~dfsg-2 [161 kB] Get: 300 http://deb.debian.org/debian bullseye/main amd64 libsodium23 amd64 1.0.18-1 [161 kB] Get: 301 http://deb.debian.org/debian bullseye/main amd64 libzmq5 amd64 4.3.4-1 [275 kB] Get: 302 http://deb.debian.org/debian bullseye/main amd64 libavformat58 amd64 7:4.3.3-0+deb11u1 [1053 kB] Get: 303 http://deb.debian.org/debian bullseye/main amd64 libavformat-dev amd64 7:4.3.3-0+deb11u1 [1255 kB] Get: 304 http://deb.debian.org/debian bullseye/main amd64 libblas-dev amd64 3.9.0-3 [161 kB] Get: 305 http://deb.debian.org/debian bullseye/main amd64 libboost1.74-dev amd64 1.74.0-9 [9534 kB] Get: 306 http://deb.debian.org/debian bullseye/main amd64 libboost-atomic1.74.0 amd64 1.74.0-9 [244 kB] Get: 307 http://deb.debian.org/debian bullseye/main amd64 libboost-atomic1.74-dev amd64 1.74.0-9 [245 kB] Get: 308 http://deb.debian.org/debian bullseye/main amd64 libboost-chrono1.74.0 amd64 1.74.0-9 [252 kB] Get: 309 http://deb.debian.org/debian bullseye/main amd64 libboost-chrono1.74-dev amd64 1.74.0-9 [260 kB] Get: 310 http://deb.debian.org/debian bullseye/main amd64 libboost-date-time1.74.0 amd64 1.74.0-9 [241 kB] Get: 311 http://deb.debian.org/debian bullseye/main amd64 libboost-serialization1.74.0 amd64 1.74.0-9 [340 kB] Get: 312 http://deb.debian.org/debian bullseye/main amd64 libboost-serialization1.74-dev amd64 1.74.0-9 [383 kB] Get: 313 http://deb.debian.org/debian bullseye/main amd64 libboost-date-time1.74-dev amd64 1.74.0-9 [250 kB] Get: 314 http://deb.debian.org/debian bullseye/main amd64 libboost-dev amd64 1.74.0.3 [4548 B] Get: 315 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem1.74.0 amd64 1.74.0-9 [283 kB] Get: 316 http://deb.debian.org/debian bullseye/main amd64 libboost-system1.74.0 amd64 1.74.0-9 [241 kB] Get: 317 http://deb.debian.org/debian bullseye/main amd64 libboost-system1.74-dev amd64 1.74.0-9 [243 kB] Get: 318 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem1.74-dev amd64 1.74.0-9 [304 kB] Get: 319 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem-dev amd64 1.74.0.3 [4368 B] Get: 320 http://deb.debian.org/debian bullseye/main amd64 libboost-python1.74.0 amd64 1.74.0-9 [313 kB] Get: 321 http://deb.debian.org/debian bullseye/main amd64 libpython3.9 amd64 3.9.2-1 [1691 kB] Get: 322 http://deb.debian.org/debian bullseye/main amd64 libexpat1-dev amd64 2.2.10-2 [140 kB] Get: 323 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-dev amd64 3.9.2-1 [4028 kB] Get: 324 http://deb.debian.org/debian bullseye/main amd64 libpython3-dev amd64 3.9.2-3 [21.7 kB] Get: 325 http://deb.debian.org/debian bullseye/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-2 [190 kB] Get: 326 http://deb.debian.org/debian bullseye/main amd64 python3.9-dev amd64 3.9.2-1 [515 kB] Get: 327 http://deb.debian.org/debian bullseye/main amd64 libjs-underscore all 1.9.1~dfsg-3 [100 kB] Get: 328 http://deb.debian.org/debian bullseye/main amd64 libjs-sphinxdoc all 3.4.3-2 [127 kB] Get: 329 http://deb.debian.org/debian bullseye/main amd64 python3-dev amd64 3.9.2-3 [24.8 kB] Get: 330 http://deb.debian.org/debian bullseye/main amd64 libboost-python1.74-dev amd64 1.74.0-9 [336 kB] Get: 331 http://deb.debian.org/debian bullseye/main amd64 libboost-python-dev amd64 1.74.0.3 [4632 B] Get: 332 http://deb.debian.org/debian bullseye/main amd64 libboost-system-dev amd64 1.74.0.3 [4468 B] Get: 333 http://deb.debian.org/debian bullseye/main amd64 libboost-thread1.74.0 amd64 1.74.0-9 [279 kB] Get: 334 http://deb.debian.org/debian bullseye/main amd64 libboost-thread1.74-dev amd64 1.74.0-9 [290 kB] Get: 335 http://deb.debian.org/debian bullseye/main amd64 libboost-thread-dev amd64 1.74.0.3 [4356 B] Get: 336 http://deb.debian.org/debian bullseye/main amd64 libcap2-bin amd64 1:2.44-1 [32.6 kB] Get: 337 http://deb.debian.org/debian bullseye/main amd64 libcurl3-gnutls amd64 7.74.0-1.3+deb11u1 [338 kB] Get: 338 http://deb.debian.org/debian bullseye/main amd64 libcfitsio9 amd64 3.490-3 [554 kB] Get: 339 http://deb.debian.org/debian bullseye/main amd64 libcharls2 amd64 2.2.0+dfsg-2 [79.4 kB] Get: 340 http://deb.debian.org/debian bullseye/main amd64 libcolord2 amd64 1.4.5-3 [144 kB] Get: 341 http://deb.debian.org/debian bullseye/main amd64 libdap27 amd64 3.20.7-6 [566 kB] Get: 342 http://deb.debian.org/debian bullseye/main amd64 libdapclient6v5 amd64 3.20.7-6 [208 kB] Get: 343 http://deb.debian.org/debian bullseye/main amd64 libraw1394-11 amd64 2.1.2-2 [41.1 kB] Get: 344 http://deb.debian.org/debian bullseye/main amd64 libusb-1.0-0 amd64 2:1.0.24-3 [60.2 kB] Get: 345 http://deb.debian.org/debian bullseye/main amd64 libdc1394-25 amd64 2.2.6-3 [108 kB] Get: 346 http://deb.debian.org/debian bullseye/main amd64 libraw1394-dev amd64 2.1.2-2 [52.1 kB] Get: 347 http://deb.debian.org/debian bullseye/main amd64 libdc1394-dev amd64 2.2.6-3 [135 kB] Get: 348 http://deb.debian.org/debian bullseye/main amd64 libde265-0 amd64 1.0.8-1 [242 kB] Get: 349 http://deb.debian.org/debian bullseye/main amd64 libdeflate-dev amd64 1.7-1 [46.9 kB] Get: 350 http://deb.debian.org/debian bullseye/main amd64 libdouble-conversion3 amd64 3.1.5-6.1 [41.0 kB] Get: 351 http://deb.debian.org/debian bullseye/main amd64 libdrm-amdgpu1 amd64 2.4.104-1 [28.5 kB] Get: 352 http://deb.debian.org/debian bullseye/main amd64 libpciaccess0 amd64 0.16-1 [53.6 kB] Get: 353 http://deb.debian.org/debian bullseye/main amd64 libdrm-intel1 amd64 2.4.104-1 [71.8 kB] Get: 354 http://deb.debian.org/debian bullseye/main amd64 libdrm-nouveau2 amd64 2.4.104-1 [26.8 kB] Get: 355 http://deb.debian.org/debian bullseye/main amd64 libdrm-radeon1 amd64 2.4.104-1 [30.2 kB] Get: 356 http://deb.debian.org/debian bullseye/main amd64 libdw1 amd64 0.183-1 [234 kB] Get: 357 http://deb.debian.org/debian bullseye/main amd64 libepoxy0 amd64 1.5.5-1 [193 kB] Get: 358 http://deb.debian.org/debian bullseye/main amd64 libepsilon1 amd64 0.9.2+dfsg-5 [41.9 kB] Get: 359 http://deb.debian.org/debian bullseye/main amd64 libexif12 amd64 0.6.22-3 [376 kB] Get: 360 http://deb.debian.org/debian bullseye/main amd64 libexif-dev amd64 0.6.22-3 [101 kB] Get: 361 http://deb.debian.org/debian bullseye/main amd64 libfreexl1 amd64 1.0.6-1 [34.2 kB] Get: 362 http://deb.debian.org/debian bullseye/main amd64 libfyba0 amd64 4.1.1-7 [114 kB] Get: 363 http://deb.debian.org/debian bullseye/main amd64 libgeos-3.9.0 amd64 3.9.0-1 [921 kB] Get: 364 http://deb.debian.org/debian bullseye/main amd64 libgeos-c1v5 amd64 3.9.0-1 [377 kB] Get: 365 http://deb.debian.org/debian bullseye/main amd64 proj-data all 7.2.1-1 [7940 kB] Get: 366 http://deb.debian.org/debian bullseye/main amd64 libproj19 amd64 7.2.1-1 [1132 kB] Get: 367 http://deb.debian.org/debian bullseye/main amd64 libgeotiff5 amd64 1.6.0-1 [70.3 kB] Get: 368 http://deb.debian.org/debian bullseye/main amd64 libgif7 amd64 5.1.9-2 [45.1 kB] Get: 369 http://deb.debian.org/debian bullseye/main amd64 libhdf4-0-alt amd64 4.2.15-3 [278 kB] Get: 370 http://deb.debian.org/debian bullseye/main amd64 libhdf5-103-1 amd64 1.10.6+repack-4+deb11u1 [1189 kB] Get: 371 http://deb.debian.org/debian bullseye/main amd64 libheif1 amd64 1.11.0-1 [191 kB] Get: 372 http://deb.debian.org/debian bullseye/main amd64 libminizip1 amd64 1.1-8+b1 [20.4 kB] Get: 373 http://deb.debian.org/debian bullseye/main amd64 liburiparser1 amd64 0.9.4+dfsg-1 [45.7 kB] Get: 374 http://deb.debian.org/debian bullseye/main amd64 libkmlbase1 amd64 1.3.0-9 [48.7 kB] Get: 375 http://deb.debian.org/debian bullseye/main amd64 libkmldom1 amd64 1.3.0-9 [156 kB] Get: 376 http://deb.debian.org/debian bullseye/main amd64 libkmlengine1 amd64 1.3.0-9 [77.7 kB] Get: 377 http://deb.debian.org/debian bullseye/main amd64 mysql-common all 5.8+1.0.7 [7464 B] Get: 378 http://deb.debian.org/debian bullseye/main amd64 mariadb-common all 1:10.5.12-0+deb11u1 [36.3 kB] Get: 379 http://deb.debian.org/debian bullseye/main amd64 libmariadb3 amd64 1:10.5.12-0+deb11u1 [175 kB] Get: 380 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-100 amd64 1.10.6+repack-4+deb11u1 [81.8 kB] Get: 381 http://deb.debian.org/debian bullseye/main amd64 libnetcdf18 amd64 1:4.7.4-1 [399 kB] Get: 382 http://deb.debian.org/debian bullseye/main amd64 libodbc1 amd64 2.3.6-0.1+b1 [224 kB] Get: 383 http://deb.debian.org/debian bullseye/main amd64 libogdi4.1 amd64 4.1.0+ds-5 [213 kB] Get: 384 http://deb.debian.org/debian bullseye/main amd64 libnspr4 amd64 2:4.29-1 [112 kB] Get: 385 http://deb.debian.org/debian bullseye/main amd64 libnss3 amd64 2:3.61-1+deb11u1 [1305 kB] Get: 386 http://deb.debian.org/debian bullseye/main amd64 libpoppler102 amd64 20.09.0-3.1 [1675 kB] Get: 387 http://deb.debian.org/debian bullseye/main amd64 libpq5 amd64 13.5-0+deb11u1 [179 kB] Get: 388 http://deb.debian.org/debian bullseye/main amd64 libqhull8.0 amd64 2020.2-3 [246 kB] Get: 389 http://deb.debian.org/debian bullseye/main amd64 librttopo1 amd64 1.1.0-2 [180 kB] Get: 390 http://deb.debian.org/debian bullseye/main amd64 libspatialite7 amd64 5.0.1-2 [1796 kB] Get: 391 http://deb.debian.org/debian bullseye/main amd64 libxerces-c3.2 amd64 3.2.3+debian-3 [870 kB] Get: 392 http://deb.debian.org/debian bullseye/main amd64 odbcinst amd64 2.3.6-0.1+b1 [48.7 kB] Get: 393 http://deb.debian.org/debian bullseye/main amd64 odbcinst1debian2 amd64 2.3.6-0.1+b1 [78.6 kB] Get: 394 http://deb.debian.org/debian bullseye/main amd64 libgdal28 amd64 3.2.2+dfsg-2+deb11u1 [7255 kB] Get: 395 http://deb.debian.org/debian bullseye/main amd64 libsocket++1 amd64 1.12.13-11 [77.9 kB] Get: 396 http://deb.debian.org/debian bullseye/main amd64 libgdcm3.0 amd64 3.0.8-2 [1860 kB] Get: 397 http://deb.debian.org/debian bullseye/main amd64 libgdcm-dev amd64 3.0.8-2 [269 kB] Get: 398 http://deb.debian.org/debian bullseye/main amd64 libgflags2.2 amd64 2.2.2-2 [83.5 kB] Get: 399 http://deb.debian.org/debian bullseye/main amd64 libgflags-dev amd64 2.2.2-2 [100 kB] Get: 400 http://deb.debian.org/debian bullseye/main amd64 libglapi-mesa amd64 20.3.5-1 [71.7 kB] Get: 401 http://deb.debian.org/debian bullseye/main amd64 libsensors-config all 1:3.6.0-7 [32.3 kB] Get: 402 http://deb.debian.org/debian bullseye/main amd64 libsensors5 amd64 1:3.6.0-7 [52.3 kB] Get: 403 http://deb.debian.org/debian bullseye/main amd64 libvulkan1 amd64 1.2.162.0-1 [103 kB] Get: 404 http://deb.debian.org/debian bullseye/main amd64 libgl1-mesa-dri amd64 20.3.5-1 [9633 kB] Get: 405 http://deb.debian.org/debian bullseye/main amd64 libglvnd0 amd64 1.3.2-1 [53.6 kB] Get: 406 http://deb.debian.org/debian bullseye/main amd64 libx11-xcb1 amd64 2:1.7.2-1 [203 kB] Get: 407 http://deb.debian.org/debian bullseye/main amd64 libxcb-dri2-0 amd64 1.14-3 [103 kB] Get: 408 http://deb.debian.org/debian bullseye/main amd64 libxcb-dri3-0 amd64 1.14-3 [102 kB] Get: 409 http://deb.debian.org/debian bullseye/main amd64 libxcb-glx0 amd64 1.14-3 [118 kB] Get: 410 http://deb.debian.org/debian bullseye/main amd64 libxcb-present0 amd64 1.14-3 [101 kB] Get: 411 http://deb.debian.org/debian bullseye/main amd64 libxcb-sync1 amd64 1.14-3 [105 kB] Get: 412 http://deb.debian.org/debian bullseye/main amd64 libxcb-xfixes0 amd64 1.14-3 [105 kB] Get: 413 http://deb.debian.org/debian bullseye/main amd64 libxdamage1 amd64 1:1.1.5-2 [15.7 kB] Get: 414 http://deb.debian.org/debian bullseye/main amd64 libxshmfence1 amd64 1.3-1 [8820 B] Get: 415 http://deb.debian.org/debian bullseye/main amd64 libxxf86vm1 amd64 1:1.1.4-1+b2 [20.8 kB] Get: 416 http://deb.debian.org/debian bullseye/main amd64 libglx-mesa0 amd64 20.3.5-1 [186 kB] Get: 417 http://deb.debian.org/debian bullseye/main amd64 libglx0 amd64 1.3.2-1 [35.7 kB] Get: 418 http://deb.debian.org/debian bullseye/main amd64 libgl1 amd64 1.3.2-1 [89.5 kB] Get: 419 http://deb.debian.org/debian bullseye/main amd64 libgl2ps1.4 amd64 1.4.2+dfsg1-1 [39.4 kB] Get: 420 http://deb.debian.org/debian bullseye/main amd64 libglew2.1 amd64 2.1.0-4+b1 [160 kB] Get: 421 http://deb.debian.org/debian bullseye/main amd64 libunwind8 amd64 1.3.2-2 [54.5 kB] Get: 422 http://deb.debian.org/debian bullseye/main amd64 libgoogle-glog0v5 amd64 0.4.0-4 [60.9 kB] Get: 423 http://deb.debian.org/debian bullseye/main amd64 liblzma-dev amd64 5.2.5-2 [229 kB] Get: 424 http://deb.debian.org/debian bullseye/main amd64 libunwind-dev amd64 1.3.2-2 [414 kB] Get: 425 http://deb.debian.org/debian bullseye/main amd64 libgoogle-glog-dev amd64 0.4.0-4 [88.9 kB] Get: 426 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-port12 amd64 2.5.27-1 [150 kB] Get: 427 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-6 amd64 2.5.27-1 [753 kB] Get: 428 http://deb.debian.org/debian bullseye/main amd64 pkg-config amd64 0.29.2-1 [65.1 kB] Get: 429 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-dev amd64 2.5.27-1 [107 kB] Get: 430 http://deb.debian.org/debian bullseye/main amd64 libgstreamer1.0-0 amd64 1.18.4-2.1 [2230 kB] Get: 431 http://deb.debian.org/debian bullseye/main amd64 liborc-0.4-0 amd64 1:0.4.32-1 [192 kB] Get: 432 http://deb.debian.org/debian bullseye/main amd64 libgstreamer-plugins-base1.0-0 amd64 1.18.4-2 [2154 kB] Get: 433 http://deb.debian.org/debian bullseye/main amd64 libjson-glib-1.0-common all 1.6.2-1 [56.9 kB] Get: 434 http://deb.debian.org/debian bullseye/main amd64 libjson-glib-1.0-0 amd64 1.6.2-1 [65.4 kB] Get: 435 http://deb.debian.org/debian bullseye/main amd64 libsoup2.4-1 amd64 2.72.0-2 [280 kB] Get: 436 http://deb.debian.org/debian bullseye/main amd64 libsoup-gnome2.4-1 amd64 2.72.0-2 [22.2 kB] Get: 437 http://deb.debian.org/debian bullseye/main amd64 librest-0.7-0 amd64 0.8.1-1.1 [33.8 kB] Get: 438 http://deb.debian.org/debian bullseye/main amd64 libwayland-client0 amd64 1.18.0-2~exp1.1 [26.9 kB] Get: 439 http://deb.debian.org/debian bullseye/main amd64 libwayland-cursor0 amd64 1.18.0-2~exp1.1 [14.6 kB] Get: 440 http://deb.debian.org/debian bullseye/main amd64 libwayland-egl1 amd64 1.18.0-2~exp1.1 [8448 B] Get: 441 http://deb.debian.org/debian bullseye/main amd64 libxcomposite1 amd64 1:0.4.5-1 [16.6 kB] Get: 442 http://deb.debian.org/debian bullseye/main amd64 libxcursor1 amd64 1:1.2.0-2 [37.3 kB] Get: 443 http://deb.debian.org/debian bullseye/main amd64 libxinerama1 amd64 2:1.1.4-2 [17.7 kB] Get: 444 http://deb.debian.org/debian bullseye/main amd64 xkb-data all 2.29-2 [655 kB] Get: 445 http://deb.debian.org/debian bullseye/main amd64 libxkbcommon0 amd64 1.0.3-2 [101 kB] Get: 446 http://deb.debian.org/debian bullseye/main amd64 libxrandr2 amd64 2:1.5.1-1 [37.5 kB] Get: 447 http://deb.debian.org/debian bullseye/main amd64 libgtk-3-common all 3.24.24-4 [3757 kB] Get: 448 http://deb.debian.org/debian bullseye/main amd64 libgtk-3-0 amd64 3.24.24-4 [2712 kB] Get: 449 http://deb.debian.org/debian bullseye/main amd64 libhdf5-cpp-103-1 amd64 1.10.6+repack-4+deb11u1 [141 kB] Get: 450 http://deb.debian.org/debian bullseye/main amd64 libhdf5-fortran-102 amd64 1.10.6+repack-4+deb11u1 [105 kB] Get: 451 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-fortran-100 amd64 1.10.6+repack-4+deb11u1 [56.8 kB] Get: 452 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-cpp-100 amd64 1.10.6+repack-4+deb11u1 [37.7 kB] Get: 453 http://deb.debian.org/debian bullseye/main amd64 libjpeg62-turbo-dev amd64 1:2.0.6-4 [278 kB] Get: 454 http://deb.debian.org/debian bullseye/main amd64 libjpeg-dev amd64 1:2.0.6-4 [67.8 kB] Get: 455 http://deb.debian.org/debian bullseye/main amd64 libhdf5-dev amd64 1.10.6+repack-4+deb11u1 [2438 kB] Get: 456 http://deb.debian.org/debian bullseye/main amd64 libilmbase25 amd64 2.5.4-1 [202 kB] Get: 457 http://deb.debian.org/debian bullseye/main amd64 libilmbase-dev amd64 2.5.4-1 [160 kB] Get: 458 http://deb.debian.org/debian bullseye/main amd64 libimagequant0 amd64 2.12.2-1.1 [32.5 kB] Get: 459 http://deb.debian.org/debian bullseye/main amd64 libjbig-dev amd64 2.1-3.1+b2 [30.5 kB] Get: 460 http://deb.debian.org/debian bullseye/main amd64 libjs-jquery-ui all 1.12.1+dfsg-8+deb11u1 [232 kB] Get: 461 http://deb.debian.org/debian bullseye/main amd64 liblbfgsb0 amd64 3.0+dfsg.3-9 [28.5 kB] Get: 462 http://deb.debian.org/debian bullseye/main amd64 liblept5 amd64 1.79.0-1.1 [1028 kB] Get: 463 http://deb.debian.org/debian bullseye/main amd64 libleveldb1d amd64 1.22-3 [144 kB] Get: 464 http://deb.debian.org/debian bullseye/main amd64 libleveldb-dev amd64 1.22-3 [198 kB] Get: 465 http://deb.debian.org/debian bullseye/main amd64 liblmdb0 amd64 0.9.24-1 [45.0 kB] Get: 466 http://deb.debian.org/debian bullseye/main amd64 liblmdb-dev amd64 0.9.24-1 [61.0 kB] Get: 467 http://deb.debian.org/debian bullseye/main amd64 liblzf1 amd64 3.6-3 [10.2 kB] Get: 468 http://deb.debian.org/debian bullseye/main amd64 libtbb2 amd64 2020.3-1 [161 kB] Get: 469 http://deb.debian.org/debian bullseye/main amd64 libopencv-core4.5 amd64 4.5.1+dfsg-5 [1010 kB] Get: 470 http://deb.debian.org/debian bullseye/main amd64 libopencv-flann4.5 amd64 4.5.1+dfsg-5 [127 kB] Get: 471 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgproc4.5 amd64 4.5.1+dfsg-5 [1256 kB] Get: 472 http://deb.debian.org/debian bullseye/main amd64 libopencv-features2d4.5 amd64 4.5.1+dfsg-5 [269 kB] Get: 473 http://deb.debian.org/debian bullseye/main amd64 libopencv-calib3d4.5 amd64 4.5.1+dfsg-5 [677 kB] Get: 474 http://deb.debian.org/debian bullseye/main amd64 libtbb-dev amd64 2020.3-1 [313 kB] Get: 475 http://deb.debian.org/debian bullseye/main amd64 libopencv-core-dev amd64 4.5.1+dfsg-5 [1707 kB] Get: 476 http://deb.debian.org/debian bullseye/main amd64 libopencv-flann-dev amd64 4.5.1+dfsg-5 [204 kB] Get: 477 http://deb.debian.org/debian bullseye/main amd64 libopenexr25 amd64 2.5.4-2 [689 kB] Get: 478 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgcodecs4.5 amd64 4.5.1+dfsg-5 [136 kB] Get: 479 http://deb.debian.org/debian bullseye/main amd64 libopencv-highgui4.5 amd64 4.5.1+dfsg-5 [51.5 kB] Get: 480 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgproc-dev amd64 4.5.1+dfsg-5 [1646 kB] Get: 481 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgcodecs-dev amd64 4.5.1+dfsg-5 [195 kB] Get: 482 http://deb.debian.org/debian bullseye/main amd64 libswscale5 amd64 7:4.3.3-0+deb11u1 [208 kB] Get: 483 http://deb.debian.org/debian bullseye/main amd64 libopencv-videoio4.5 amd64 4.5.1+dfsg-5 [188 kB] Get: 484 http://deb.debian.org/debian bullseye/main amd64 libopencv-videoio-dev amd64 4.5.1+dfsg-5 [255 kB] Get: 485 http://deb.debian.org/debian bullseye/main amd64 libopenexr-dev amd64 2.5.4-2 [159 kB] Get: 486 http://deb.debian.org/debian bullseye/main amd64 libpng-dev amd64 1.6.37-3 [298 kB] Get: 487 http://deb.debian.org/debian bullseye/main amd64 libswscale-dev amd64 7:4.3.3-0+deb11u1 [229 kB] Get: 488 http://deb.debian.org/debian bullseye/main amd64 libtiffxx5 amd64 4.2.0-1 [128 kB] Get: 489 http://deb.debian.org/debian bullseye/main amd64 libtiff-dev amd64 4.2.0-1 [415 kB] Get: 490 http://deb.debian.org/debian bullseye/main amd64 libopencv-highgui-dev amd64 4.5.1+dfsg-5 [69.5 kB] Get: 491 http://deb.debian.org/debian bullseye/main amd64 libopencv-ml4.5 amd64 4.5.1+dfsg-5 [209 kB] Get: 492 http://deb.debian.org/debian bullseye/main amd64 libopencv-ml-dev amd64 4.5.1+dfsg-5 [285 kB] Get: 493 http://deb.debian.org/debian bullseye/main amd64 libopencv-features2d-dev amd64 4.5.1+dfsg-5 [348 kB] Get: 494 http://deb.debian.org/debian bullseye/main amd64 libopencv-calib3d-dev amd64 4.5.1+dfsg-5 [941 kB] Get: 495 http://deb.debian.org/debian bullseye/main amd64 libprotobuf23 amd64 3.12.4-1 [892 kB] Get: 496 http://deb.debian.org/debian bullseye/main amd64 libopencv-dnn4.5 amd64 4.5.1+dfsg-5 [902 kB] Get: 497 http://deb.debian.org/debian bullseye/main amd64 libopencv-objdetect4.5 amd64 4.5.1+dfsg-5 [172 kB] Get: 498 http://deb.debian.org/debian bullseye/main amd64 libopencv-video4.5 amd64 4.5.1+dfsg-5 [175 kB] Get: 499 http://deb.debian.org/debian bullseye/main amd64 libtesseract4 amd64 4.1.1-2.1 [1274 kB] Get: 500 http://deb.debian.org/debian bullseye/main amd64 libopencv-contrib4.5 amd64 4.5.1+dfsg-5 [3258 kB] Get: 501 http://deb.debian.org/debian bullseye/main amd64 libopencv-dnn-dev amd64 4.5.1+dfsg-5 [1306 kB] Get: 502 http://deb.debian.org/debian bullseye/main amd64 libopencv-objdetect-dev amd64 4.5.1+dfsg-5 [234 kB] Get: 503 http://deb.debian.org/debian bullseye/main amd64 libopencv-photo4.5 amd64 4.5.1+dfsg-5 [179 kB] Get: 504 http://deb.debian.org/debian bullseye/main amd64 libopencv-photo-dev amd64 4.5.1+dfsg-5 [217 kB] Get: 505 http://deb.debian.org/debian bullseye/main amd64 libopencv-shape4.5 amd64 4.5.1+dfsg-5 [65.5 kB] Get: 506 http://deb.debian.org/debian bullseye/main amd64 libopencv-video-dev amd64 4.5.1+dfsg-5 [230 kB] Get: 507 http://deb.debian.org/debian bullseye/main amd64 libopencv-shape-dev amd64 4.5.1+dfsg-5 [82.4 kB] Get: 508 http://deb.debian.org/debian bullseye/main amd64 libopencv-stitching4.5 amd64 4.5.1+dfsg-5 [201 kB] Get: 509 http://deb.debian.org/debian bullseye/main amd64 libopencv-stitching-dev amd64 4.5.1+dfsg-5 [260 kB] Get: 510 http://deb.debian.org/debian bullseye/main amd64 libopencv-superres4.5 amd64 4.5.1+dfsg-5 [61.2 kB] Get: 511 http://deb.debian.org/debian bullseye/main amd64 libopencv-superres-dev amd64 4.5.1+dfsg-5 [74.0 kB] Get: 512 http://deb.debian.org/debian bullseye/main amd64 libopencv-videostab4.5 amd64 4.5.1+dfsg-5 [91.0 kB] Get: 513 http://deb.debian.org/debian bullseye/main amd64 libopencv-videostab-dev amd64 4.5.1+dfsg-5 [119 kB] Get: 514 http://deb.debian.org/debian bullseye/main amd64 libopengl0 amd64 1.3.2-1 [31.5 kB] Get: 515 http://deb.debian.org/debian bullseye/main amd64 libtcl8.6 amd64 8.6.11+dfsg-1 [1018 kB] Get: 516 http://deb.debian.org/debian bullseye/main amd64 libxft2 amd64 2.3.2-2 [57.2 kB] Get: 517 http://deb.debian.org/debian bullseye/main amd64 libxss1 amd64 1:1.2.3-1 [17.8 kB] Get: 518 http://deb.debian.org/debian bullseye/main amd64 libtk8.6 amd64 8.6.11-2 [780 kB] Get: 519 http://deb.debian.org/debian bullseye/main amd64 libvtk9 amd64 9.0.1+dfsg1-8 [13.9 MB] Get: 520 http://deb.debian.org/debian bullseye/main amd64 libopencv-viz4.5 amd64 4.5.1+dfsg-5 [135 kB] Get: 521 http://deb.debian.org/debian bullseye/main amd64 libopencv-viz-dev amd64 4.5.1+dfsg-5 [184 kB] Get: 522 http://deb.debian.org/debian bullseye/main amd64 libopencv-contrib-dev amd64 4.5.1+dfsg-5 [4243 kB] Get: 523 http://deb.debian.org/debian bullseye/main amd64 libopencv-dev amd64 4.5.1+dfsg-5 [103 kB] Get: 524 http://deb.debian.org/debian bullseye/main amd64 libprotobuf-lite23 amd64 3.12.4-1 [241 kB] Get: 525 http://deb.debian.org/debian bullseye/main amd64 libprotobuf-dev amd64 3.12.4-1 [1232 kB] Get: 526 http://deb.debian.org/debian bullseye/main amd64 libprotoc23 amd64 3.12.4-1 [803 kB] Get: 527 http://deb.debian.org/debian bullseye/main amd64 libprotoc-dev amd64 3.12.4-1 [924 kB] Get: 528 http://deb.debian.org/debian bullseye/main amd64 libsnappy-dev amd64 1.1.8-1 [31.1 kB] Get: 529 http://deb.debian.org/debian bullseye/main amd64 libwebpdemux2 amd64 0.6.1-2.1 [87.7 kB] Get: 530 http://deb.debian.org/debian bullseye/main amd64 libyaml-0-2 amd64 0.2.2-1 [49.6 kB] Get: 531 http://deb.debian.org/debian bullseye/main amd64 protobuf-compiler amd64 3.12.4-1 [75.1 kB] Get: 532 http://deb.debian.org/debian bullseye/main amd64 python-matplotlib-data all 3.3.4-1 [4153 kB] Get: 533 http://deb.debian.org/debian bullseye/main amd64 python3-six all 1.16.0-2 [17.5 kB] Get: 534 http://deb.debian.org/debian bullseye/main amd64 python3-cycler all 0.10.0-3 [8084 B] Get: 535 http://deb.debian.org/debian bullseye/main amd64 python3-dateutil all 2.8.1-6 [79.2 kB] Get: 536 http://deb.debian.org/debian bullseye/main amd64 python3-gflags all 1.5.1-7 [36.2 kB] Get: 537 http://deb.debian.org/debian bullseye/main amd64 python3-numpy amd64 1:1.19.5-1 [2693 kB] Get: 538 http://deb.debian.org/debian bullseye/main amd64 python3-h5py-serial amd64 2.10.0-9+b2 [655 kB] Get: 539 http://deb.debian.org/debian bullseye/main amd64 python3-h5py all 2.10.0-9 [11.4 kB] Get: 540 http://deb.debian.org/debian bullseye/main amd64 python3-pil amd64 8.1.2+dfsg-0.3 [445 kB] Get: 541 http://deb.debian.org/debian bullseye/main amd64 python3-imageio all 2.4.1-3 [3137 kB] Get: 542 http://deb.debian.org/debian bullseye/main amd64 python3-kiwisolver amd64 1.3.1-1+b1 [55.7 kB] Get: 543 http://deb.debian.org/debian bullseye/main amd64 python3-pyparsing all 2.4.7-1 [109 kB] Get: 544 http://deb.debian.org/debian bullseye/main amd64 python3-matplotlib amd64 3.3.4-1 [4163 kB] Get: 545 http://deb.debian.org/debian bullseye/main amd64 python3-networkx all 2.5+ds-2 [900 kB] Get: 546 http://deb.debian.org/debian bullseye/main amd64 python3-nose all 1.3.7-7 [133 kB] Get: 547 http://deb.debian.org/debian bullseye/main amd64 python3-tz all 2021.1-1 [34.8 kB] Get: 548 http://deb.debian.org/debian bullseye/main amd64 python3-pandas-lib amd64 1.1.5+dfsg-2 [3287 kB] Get: 549 http://deb.debian.org/debian bullseye/main amd64 python3-pandas all 1.1.5+dfsg-2 [2096 kB] Get: 550 http://deb.debian.org/debian bullseye/main amd64 python3-protobuf amd64 3.12.4-1 [382 kB] Get: 551 http://deb.debian.org/debian bullseye/main amd64 python3-pydotplus all 2.0.2-3 [20.5 kB] Get: 552 http://deb.debian.org/debian bullseye/main amd64 python3-pywt amd64 1.1.1-1+b2 [975 kB] Get: 553 http://deb.debian.org/debian bullseye/main amd64 python3-scipy amd64 1.6.0-2 [12.3 MB] Get: 554 http://deb.debian.org/debian bullseye/main amd64 python3-skimage-lib amd64 0.18.1-2 [1920 kB] Get: 555 http://deb.debian.org/debian bullseye/main amd64 python3-tifffile all 20210201-1 [134 kB] Get: 556 http://deb.debian.org/debian bullseye/main amd64 python3-skimage all 0.18.1-2 [20.6 MB] Get: 557 http://deb.debian.org/debian bullseye/main amd64 python3-yaml amd64 5.3.1-5 [138 kB] Fetched 564 MB in 35s (16.0 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19655 files and directories currently installed.) Preparing to unpack .../00-libapparmor1_2.13.6-10_amd64.deb ... Unpacking libapparmor1:amd64 (2.13.6-10) ... Selecting previously unselected package libcap2:amd64. Preparing to unpack .../01-libcap2_1%3a2.44-1_amd64.deb ... Unpacking libcap2:amd64 (1:2.44-1) ... Selecting previously unselected package libargon2-1:amd64. 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Setting up texlive-binaries (2020.20200327.54578-7) ... update-alternatives: using /usr/bin/xdvi-xaw to provide /usr/bin/xdvi.bin (xdvi.bin) in auto mode update-alternatives: using /usr/bin/bibtex.original to provide /usr/bin/bibtex (bibtex) in auto mode Setting up libopencv-objdetect4.5:amd64 (4.5.1+dfsg-5) ... Setting up libtheora0:amd64 (1.1.1+dfsg.1-15) ... Setting up python3-dateutil (2.8.1-6) ... Setting up libswscale5:amd64 (7:4.3.3-0+deb11u1) ... Setting up libcairo-gobject2:amd64 (1.16.0-5) ... Setting up libpangoft2-1.0-0:amd64 (1.46.2-3) ... Setting up python3-lib2to3 (3.9.2-1) ... Setting up texlive-base (2020.20210202-3) ... tl-paper: setting paper size for dvips to a4: /var/lib/texmf/dvips/config/config-paper.ps tl-paper: setting paper size for dvipdfmx to a4: /var/lib/texmf/dvipdfmx/dvipdfmx-paper.cfg tl-paper: setting paper size for xdvi to a4: /var/lib/texmf/xdvi/XDvi-paper tl-paper: setting paper size for pdftex to a4: /var/lib/texmf/tex/generic/tex-ini-files/pdftexconfig.tex Setting up python3-gflags (1.5.1-7) ... Setting up libgtk-3-common (3.24.24-4) ... Setting up libpangocairo-1.0-0:amd64 (1.46.2-3) ... Setting up python3-ptyprocess (0.7.0-1) ... Setting up python3-pkg-resources (52.0.0-4) ... Setting up python3-prompt-toolkit (3.0.14-1) ... Setting up python3-distutils (3.9.2-1) ... Setting up dh-python (4.20201102+nmu1) ... Setting up libavutil-dev:amd64 (7:4.3.3-0+deb11u1) ... Setting up gsettings-desktop-schemas (3.38.0-2) ... Setting up libopencv-shape-dev:amd64 (4.5.1+dfsg-5) ... Setting up libpython3-dev:amd64 (3.9.2-3) ... 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Setting up libgtk-3-0:amd64 (3.24.24-4) ... Setting up libopencv-viz-dev:amd64 (4.5.1+dfsg-5) ... Setting up odbcinst (2.3.6-0.1+b1) ... Setting up odbcinst1debian2:amd64 (2.3.6-0.1+b1) ... Setting up libgdal28 (3.2.2+dfsg-2+deb11u1) ... Setting up libopencv-imgcodecs4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-imgcodecs-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-highgui4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videoio4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videoio-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videostab4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-contrib4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-highgui-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-features2d-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-calib3d-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-objdetect-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-superres4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-superres-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videostab-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-stitching-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-contrib-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-dev (4.5.1+dfsg-5) ... Processing triggers for libc-bin (2.31-13+deb11u2) ... Processing triggers for tex-common (6.16) ... Running updmap-sys. This may take some time... done. Running mktexlsr /var/lib/texmf ... done. Building format(s) --all. This may take some time... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps Reading package lists... Building dependency tree... Reading state information... fakeroot is already the newest version (1.25.3-1.1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../caffe_1.0.0+git20180821.99bd997-8_source.changes dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Mo Zhou dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 fakeroot debian/rules clean dh clean -Scmake --with python3,bash-completion debian/rules override_dh_auto_clean make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_clean --builddirectory="caffe_cpu_build" rm -f -rf python/caffe/proto/ doxygen rm -f python/caffe/_caffe.so find . -type d -name '__pycache__' -exec rm -rf '{}' + make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_clean -O-Scmake debian/rules build dh build -Scmake --with python3,bash-completion dh_update_autotools_config -O-Scmake dh_autoreconf -O-Scmake debian/rules override_dh_auto_configure make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{x86_64-linux-gnu}g;' \ < debian/libcaffe-dev.install.in > debian/libcaffe-dev.install perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{x86_64-linux-gnu}g;' \ < debian/libcaffe1.install.in > debian/libcaffe1.install dh_auto_configure --builddirectory="caffe_cpu_build" \ -- -DALLOW_LMDB_NOLOCK=OFF -DBLAS="Generic" -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version="3" -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_CXX_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX="/usr" -DCPU_ONLY=ON cd caffe_cpu_build && cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=None -DCMAKE_INSTALL_SYSCONFDIR=/etc -DCMAKE_INSTALL_LOCALSTATEDIR=/var -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_RUNSTATEDIR=/run -DCMAKE_SKIP_INSTALL_ALL_DEPENDENCY=ON "-GUnix Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON -DCMAKE_INSTALL_LIBDIR=lib/x86_64-linux-gnu -DALLOW_LMDB_NOLOCK=OFF -DBLAS=Generic -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version=3 -DCMAKE_BUILD_TYPE=Release "-DCMAKE_C_FLAGS=-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" "-DCMAKE_CXX_FLAGS=-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX=/usr -DCPU_ONLY=ON .. -- The C compiler identification is GNU 10.2.1 -- The CXX compiler identification is GNU 10.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done CMake Warning (dev) at cmake/Misc.cmake:32 (set): implicitly converting 'BOOLEAN' to 'STRING' type. Call Stack (most recent call first): CMakeLists.txt:25 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.54") found components: system thread filesystem -- Found Threads: TRUE -- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so) -- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so) -- Found Protobuf: /usr/lib/x86_64-linux-gnu/libprotobuf.so;-lpthread (found version "3.12.4") -- Found PROTOBUF Compiler: /usr/bin/protoc -- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so;/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.so;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.10.6") found components: HL -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so) -- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so) -- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so) -- -- CUDA is disabled. Building without it... -- OpenCV found (/usr/lib/x86_64-linux-gnu/cmake/opencv4) -- Looking for sgemm_ -- Looking for sgemm_ - found -- Found BLAS: /usr/lib/x86_64-linux-gnu/libblas.so -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.9.2", minimum required is "3.0") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.9.so (found suitable version "3.9.2", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.19.5", minimum required is "1.7.1") -- NumPy ver. 1.19.5 found (include: /usr/lib/python3/dist-packages/numpy/core/include) -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.46") found components: python3 -- Could NOT find Git (missing: GIT_EXECUTABLE) -- -- ******************* Caffe Configuration Summary ******************* -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : OFF -- CPU_ONLY : ON -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Generic) -- Boost : Yes (ver. 1.74) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. ..) -- lmdb : Yes (ver. 0.9.24) -- LevelDB : Yes (ver. 1.22) -- Snappy : Yes (ver. 1.1.8) -- OpenCV : Yes (ver. 4.5.1) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.9.2) -- Libraries : /usr/lib/x86_64-linux-gnu/libpython3.9.so (ver 3.9.2) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.19.5) -- -- Install: -- Install path : /usr -- -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: USE_CUDNN -- Build files have been written to: /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all cd caffe_cpu_build && make -j15 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 caffe make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 52 make -f CMakeFiles/Makefile2 src/caffe/CMakeFiles/caffe.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 0%] Running C++/Python protocol buffer compiler on /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/caffe-1.0.0+git20180821.99bd997/src -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 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Scanning dependencies of target caffeproto make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o -c /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/caffe.pb.cc [ 1%] Linking CXX static library ../../lib/libcaffeproto.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -P CMakeFiles/caffeproto.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffeproto.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libcaffeproto.a CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o /usr/bin/ranlib ../../lib/libcaffeproto.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Scanning dependencies of target caffe make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/common.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY 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/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/clip_layer.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/shared_ptr.hpp:17, from /usr/include/boost/python/converter/shared_ptr_to_python.hpp:12, from /usr/include/boost/python/converter/arg_to_python.hpp:15, from /usr/include/boost/python/call.hpp:15, from /usr/include/boost/python/object_core.hpp:14, from /usr/include/boost/python/args.hpp:22, from /usr/include/boost/python.hpp:11, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:4: /usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, 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Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. 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/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/deconv_layer.cpp /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] 298 | } catch (bp::error_already_set) { | ^~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct 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-I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/upgrade_proto.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/upgrade_proto.cpp In file included from /usr/include/boost/bind.hpp:30, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/signal_handler.cpp:1: /usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function 'bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:60:66: warning: 'void google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int, int)' is deprecated: Please use the single parameter version of SetTotalBytesLimit(). The second parameter is ignored. [-Wdeprecated-declarations] 60 | coded_input->SetTotalBytesLimit(kProtoReadBytesLimit, 536870912); | ^ In file included from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:2: /usr/include/google/protobuf/io/coded_stream.h:397:8: note: declared here 397 | void SetTotalBytesLimit(int total_bytes_limit, int) { | ^~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../../lib/libcaffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,libcaffe.so.1.0.0 -o ../../lib/libcaffe.so.1.0.0 CMakeFiles/caffe.dir/blob.cpp.o CMakeFiles/caffe.dir/common.cpp.o 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/usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lpthread -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb -lsnappy /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 -lblas -lpython3.9 /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 -lpthread /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_symlink_library ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pycaffe make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start 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Scanning dependencies of target pycaffe make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Building CXX object python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -Dpycaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/smart_ptr/make_shared_object.hpp:17, from /usr/include/boost/smart_ptr/make_shared.hpp:14, from /usr/include/boost/make_shared.hpp:14, from /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp:6: /usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../lib/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/pycaffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,_caffe.so -o ../lib/_caffe.so CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o ../lib/libcaffe.so.1.0.0 -lpython3.9 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 Creating symlink /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && touch /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/__init__.py cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && cp /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/*.py /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 test.testbin make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/test.testbin.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Scanning dependencies of target gtest [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= [ 2%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe In file included from /usr/include/string.h:495, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39: In function 'char* strncpy(char*, const char*, size_t)', inlined from 'const char* testing::internal::posix::StrNCpy(char*, const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:2672:17, inlined from 'char* testing::internal::CloneString(const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2143:19, inlined from 'static const char* testing::internal::String::CloneCString(const char*)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: /usr/include/x86_64-linux-gnu/bits/string_fortified.h:106:34: warning: 'char* __builtin_strncpy(char*, const char*, long unsigned int)' output truncated before terminating nul copying as many bytes from a string as its length [-Wstringop-truncation] 106 | return __builtin___strncpy_chk (__dest, __src, __len, __bos (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp: In static member function 'static const char* testing::internal::String::CloneCString(const char*)': /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: note: length computed here 2154 | NULL : CloneString(c_str, strlen(c_str)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 60%] Linking CXX static library ../../lib/libgtest.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -E cmake_link_script CMakeFiles/gtest.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libgtest.a CMakeFiles/gtest.dir/gtest-all.cpp.o /usr/bin/ranlib ../../lib/libgtest.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target gtest make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Scanning dependencies of target test.testbin make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o cd 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-isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_threshold_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_threshold_layer.cpp [ 97%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_tile_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build 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Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/depend.internal". make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/depend.internal". make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend Scanning dependencies of target extract_features make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/build Scanning dependencies of target upgrade_net_proto_binary Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake --color= Scanning dependencies of target convert_imageset make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= Scanning dependencies of target upgrade_net_proto_text make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/build Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Scanning dependencies of target compute_image_mean make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/build [ 82%] Building CXX object tools/CMakeFiles/extract_features.dir/extract_features.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/extract_features.dir/extract_features.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/extract_features.cpp make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/build [ 82%] Building CXX object tools/CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK 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Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/depend.internal". make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build Scanning dependencies of target upgrade_solver_proto_text [ 84%] Building CXX object tools/CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/convert_imageset.cpp Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/depend.internal". make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/depend.internal". make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 85%] Building CXX object tools/CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Scanning dependencies of target convert_mnist_siamese_data cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/compute_image_mean.cpp Scanning dependencies of target caffe.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 85%] Building CXX object tools/CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/upgrade_net_proto_text.cpp make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Scanning dependencies of target convert_mnist_data make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/build Scanning dependencies of target convert_cifar_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/build [ 85%] Building CXX object 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-I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/examples/mnist/convert_mnist_data.cpp [ 93%] Building CXX object examples/CMakeFiles/classification.dir/cpp_classification/classification.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB 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-Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o -o mnist/convert_mnist_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Linking CXX executable siamese/convert_mnist_siamese_data cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_mnist_siamese_data.dir/link.txt --verbose=1 [ 93%] Linking CXX executable cifar10/convert_cifar_data cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_cifar_data.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall 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/usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Linking CXX executable compute_image_mean cd 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Transcript written on refman.log. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/doxygen/latex' find docs -name '.gitignore' -delete # lintian vcs-control-file find docs -name '*.html' -exec sed -i -e "s@http://cdn.mathjax.org/mathjax/latest/MathJax.js@file:///usr/share/javascript/mathjax/MathJax.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/js/bootstrap.min.js@file:///usr/share/javascript/bootstrap/js/bootstrap.min.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css@file:///usr/share/javascript/bootstrap/css/bootstrap.min.css@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//code.jquery.com/jquery-2.1.1.js@file:///usr/share/javascript/jquery/jquery.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_test-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ cd caffe_cpu_build && make -j15 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j15 make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Nothing to be done for 'test'. /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 runtest make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/runtest.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target gtest [ 2%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997 && /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* Note: Randomizing tests' orders with a seed of 94128 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/1.TestGradient [ OK ] InfogainLossLayerTest/1.TestGradient (3 ms) [ RUN ] InfogainLossLayerTest/1.TestInfogainLoss [ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/1 (3 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (466 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (448 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (153 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [----------] 6 tests from MVNLayerTest/1 (1067 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (7 ms) [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (0 ms) [----------] 9 tests from AccuracyLayerTest/0 (11 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (0 ms) [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (135 ms) [----------] 2 tests from BatchReindexLayerTest/1 (135 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double [ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/1 (1 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (238 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (264 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (503 ms total) [----------] 3 tests from SyncedMemoryTest [ RUN ] SyncedMemoryTest.TestAllocationCPU [ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) [ RUN ] SyncedMemoryTest.TestInitialization [ OK ] SyncedMemoryTest.TestInitialization (0 ms) [ RUN ] SyncedMemoryTest.TestCPUWrite [ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) [----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (1140 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1736 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (287 ms) [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (1 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (3164 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (3 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (4 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (268 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (165 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (121 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (251 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (191 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (409 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (4 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (239 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (4 ms) [----------] 20 tests from BiasLayerTest/0 (1662 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (10 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (8 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms) [----------] 8 tests from SplitLayerInsertionTest (20 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (351 ms) [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/0 (351 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (26 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (44 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (20 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (26 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (266 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (172 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (276 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (44 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (52 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (25 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (191 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (24 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (27 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (2 ms) [----------] 14 tests from DataLayerTest/1 (1196 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (0 ms) [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (0 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (2297 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (704 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (3991 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (951 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (1729 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [----------] 8 tests from Im2colLayerTest/1 (9681 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (0 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (509 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (512 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (1029 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (19 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (28 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (31 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (87 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (9 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (130 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (124 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (32 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (9 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (1 ms) [----------] 12 tests from ArgMaxLayerTest/0 (310 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/1.TestFill5D [ OK ] GaussianFillerTest/1.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill1D [ OK ] GaussianFillerTest/1.TestFill1D (0 ms) [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (0 ms) [----------] 4 tests from GaussianFillerTest/1 (1 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (55 ms) [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (37 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [----------] 5 tests from EmbedLayerTest/1 (92 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (33 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (21 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (25 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (80 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (2007 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (1533 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (2338 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (594 ms) [----------] 11 tests from PoolingLayerTest/0 (6479 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (18 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (15 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [----------] 10 tests from EltwiseLayerTest/1 (68 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (2 ms) [----------] 1 test from SolverTest/1 (2 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (312 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (161 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (507 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (250 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (8 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (217 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (216 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (252 ms) [----------] 20 tests from BiasLayerTest/1 (1944 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (72 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (14 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (171 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (187 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (34 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (68 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (178 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (38 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (71 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (33 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (169 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [----------] 12 tests from NesterovSolverTest/1 (1039 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (38 ms) [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (47 ms) [----------] 2 tests from HDF5DataLayerTest/0 (85 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (1474 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (931 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (25 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (2 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (153 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (37 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (32 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (1211 ms) [----------] 15 tests from ConvolutionLayerTest/1 (3883 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (1 ms) [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (6 ms) [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [----------] 3 tests from TanHLayerTest/0 (7 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (3 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (3 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (4 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (221 ms) [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (1 ms) [----------] 3 tests from BatchNormLayerTest/1 (222 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (0 ms) [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (5 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (4 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (4 ms) [----------] 10 tests from PowerLayerTest/0 (21 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (22 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (18 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (29 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (88 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (90 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (86 ms) [----------] 8 tests from RMSPropSolverTest/0 (345 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (42 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (42 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (41 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [----------] 6 tests from XavierFillerTest/1 (127 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (3 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [----------] 27 tests from ReductionLayerTest/1 (18 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [----------] 3 tests from BlobMathTest/0 (0 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (159 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (163 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (116 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (103 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (103 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (238 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (7 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (1 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (390 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (135 ms) [----------] 22 tests from ScaleLayerTest/1 (1418 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/0.TestForward [ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) [ RUN ] EuclideanLossLayerTest/0.TestGradient [ OK ] EuclideanLossLayerTest/0.TestGradient (1 ms) [----------] 2 tests from EuclideanLossLayerTest/0 (1 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (47 ms) [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (6 ms) [----------] 5 tests from MemoryDataLayerTest/1 (56 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (28 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (825 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (986 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (21 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (449 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (104 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (12 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (2 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [----------] 15 tests from ConvolutionLayerTest/0 (2430 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (230 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (252 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (482 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (0 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (347 ms) [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (139 ms) [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (371 ms) [----------] 6 tests from MVNLayerTest/0 (858 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (35 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (147 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (61 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (152 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (153 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (30 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (149 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (45 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (29 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (33 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [----------] 12 tests from NesterovSolverTest/0 (849 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (5 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (1 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (6 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (6 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (84 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (5 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (24 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (5 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (0 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (82 ms) [----------] 12 tests from ArgMaxLayerTest/1 (213 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (2 ms) [----------] 1 test from SolverTest/0 (2 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (35 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (159 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (56 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (151 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (149 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (140 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (28 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (28 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (61 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (40 ms) [----------] 12 tests from SGDSolverTest/0 (864 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (291 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (429 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (311 ms) [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (187 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (392 ms) [----------] 5 tests from ImageDataLayerTest/1 (1610 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (0 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (1 ms) [----------] 2 tests from HingeLossLayerTest/0 (1 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (37 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (36 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (75 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (8 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (10 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (220 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (188 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (62 ms) [----------] 8 tests from AdamSolverTest/1 (637 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (3696 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (920 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (1 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (555 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [----------] 11 tests from CropLayerTest/1 (5172 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (21 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (96 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (89 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [----------] 8 tests from SliceLayerTest/0 (211 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (9 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (10 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (13 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (9 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (13 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (14 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (72 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (1 ms) [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (5082 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [----------] 5 tests from SPPLayerTest/1 (5083 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from GaussianFillerTest/0 (2 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (1 ms) [----------] 1 test from LayerFactoryTest/1 (1 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (6 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (7 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (6 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (34 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (3 ms) [----------] 1 test from HDF5OutputLayerTest/0 (3 ms total) [----------] 2 tests from CommonTest [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (0 ms) [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [----------] 2 tests from CommonTest (0 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (69 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (108 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (134 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [----------] 6 tests from MSRAFillerTest/0 (311 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (41 ms) [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (11 ms) [----------] 2 tests from HDF5DataLayerTest/1 (53 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) [----------] 27 tests from ReductionLayerTest/0 (15 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (164 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (5 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (3 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (4 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (211 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (8 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (6 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (7 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (6 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (3 ms) [----------] 58 tests from NeuronLayerTest/1 (480 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (382 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (350 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (1 ms) [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (91 ms) [----------] 7 tests from TileLayerTest/1 (824 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (96 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (98 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (95 ms) [----------] 6 tests from MSRAFillerTest/1 (290 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (92 ms) [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (390 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (270 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (90 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (315 ms) [----------] 5 tests from ImageDataLayerTest/0 (1157 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (69 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (38 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (27 ms) [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (22 ms) [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (28 ms) [----------] 5 tests from DBTest/1 (184 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (552 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (4906 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (10 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (1 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (1013 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (405 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (48 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (48 ms) [----------] 9 tests from LSTMLayerTest/1 (6984 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [----------] 4 tests from BlobSimpleTest/0 (0 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (196 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (178 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [----------] 9 tests from InnerProductLayerTest/0 (375 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (423 ms) [----------] 3 tests from FilterLayerTest/1 (423 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (0 ms) [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (218 ms) [----------] 2 tests from SoftmaxLayerTest/1 (219 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (123 ms) [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (5 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (212 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1081 ms) [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (2 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (112 ms) [----------] 6 tests from RNNLayerTest/1 (1535 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (233 ms) [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) [----------] 3 tests from BatchNormLayerTest/0 (233 ms total) [----------] 1 test from ProtoTest [ RUN ] ProtoTest.TestSerialization Printing in binary format. testTest Printing in text format. name: "test" type: "Test" [ OK ] ProtoTest.TestSerialization (0 ms) [----------] 1 test from ProtoTest (0 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float [ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup [ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (47 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (14 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (41 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [----------] 8 tests from SliceLayerTest/1 (102 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (29 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (90 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (140 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (18 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (32 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (17 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (6 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (19 ms) [----------] 9 tests from AdaGradSolverTest/1 (356 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) [----------] 1 test from SolverTypeUpgradeTest (1 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (9 ms) [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (11 ms) [----------] 2 tests from BilinearFillerTest/1 (20 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [ RUN ] ConstantFillerTest/0.TestFill2D [ OK ] ConstantFillerTest/0.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill5D [ OK ] ConstantFillerTest/0.TestFill5D (0 ms) [----------] 4 tests from ConstantFillerTest/0 (0 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (45 ms) [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (0 ms) [----------] 5 tests from MemoryDataLayerTest/0 (49 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (8 ms) [ RUN ] SplitLayerTest/1.Test [ OK ] SplitLayerTest/1.Test (0 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/1 (8 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1357 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1372 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (692 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (1 ms) [----------] 8 tests from LRNLayerTest/0 (3422 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (3 ms) [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (0 ms) [----------] 3 tests from PaddingLayerUpgradeTest (4 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (4333 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (94 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (435 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (876 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (644 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (1 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (77 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (6 ms) [----------] 9 tests from LSTMLayerTest/0 (6466 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (0 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [----------] 12 tests from DataTransformTest/0 (0 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (301 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (301 ms) [----------] 5 tests from BenchmarkTest/0 (602 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (1 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (10 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (4 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (8 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (7 ms) [----------] 10 tests from ConcatLayerTest/0 (30 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (1 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (1528 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (0 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1166 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1171 ms) [----------] 8 tests from LRNLayerTest/1 (3872 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (337 ms) [----------] 3 tests from FilterLayerTest/0 (337 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/1, where TypeParam = double [ RUN ] CPUStochasticPoolingLayerTest/1.TestSetup [ OK ] CPUStochasticPoolingLayerTest/1.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/1 (0 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (1 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (2 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (1 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (4 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (29 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (15 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (20 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (28 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (15 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (94 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (123 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (142 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (48 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (521 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (8 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (4 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (3 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (2 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (0 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (5 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (1 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (0 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (1 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (0 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (5 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (2 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (7 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (0 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (1 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (7 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (0 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (5 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (1 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (1 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (1 ms) [----------] 26 tests from NetTest/1 (60 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (129 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (139 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (133 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (48 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (36 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (26 ms) [----------] 8 tests from RMSPropSolverTest/1 (531 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (7 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (1 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (8 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (11 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (7 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (4 ms) [----------] 10 tests from PowerLayerTest/1 (41 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (27 ms) [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (16 ms) [----------] 2 tests from BilinearFillerTest/0 (52 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (307 ms) [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (301 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [----------] 5 tests from BenchmarkTest/1 (608 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (8 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (1 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (2 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (12 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (2 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [----------] 10 tests from ConcatLayerTest/1 (25 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (1 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (1 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (4 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) [----------] 20 tests from FilterNetTest (7 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (426 ms) [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (1 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (2364 ms) [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (400 ms) [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [----------] 11 tests from CropLayerTest/0 (3191 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (142 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (445 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (279 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [----------] 7 tests from TileLayerTest/0 (872 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (0 ms) [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (1 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [----------] 12 tests from DataTransformTest/1 (1 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (0 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (295 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (2596 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (730 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (916 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (242 ms) [----------] 8 tests from Im2colLayerTest/0 (4779 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (6 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (96 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (271 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1332 ms) [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (5 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (117 ms) [----------] 6 tests from RNNLayerTest/0 (1827 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (4 ms) [----------] 1 test from HDF5OutputLayerTest/1 (4 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (2 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (14 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (14 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (118 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (138 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (30 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (41 ms) [----------] 8 tests from AdamSolverTest/0 (362 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (7 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (1 ms) [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (0 ms) [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (1 ms) [----------] 4 tests from NetUpgradeTest (9 ms total) [----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/1.TestCreateSolver [ OK ] SolverFactoryTest/1.TestCreateSolver (1 ms) [----------] 1 test from SolverFactoryTest/1 (1 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (13 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (1 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (1 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (5 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (4 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (7 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (4 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (1 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (1 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (1 ms) [----------] 14 tests from DataLayerTest/0 (46 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (19 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (25 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (35 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (21 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (36 ms) [----------] 5 tests from DBTest/0 (136 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (15 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (99 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (92 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (31 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (46 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (22 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (8 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (81 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (23 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (28 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (71 ms) [----------] 12 tests from SGDSolverTest/1 (528 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (18 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (85 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (67 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (13 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (13 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (13 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (13 ms) [----------] 9 tests from AdaGradSolverTest/0 (228 ms total) [----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/1.TestGradientL2 [ OK ] HingeLossLayerTest/1.TestGradientL2 (1 ms) [ RUN ] HingeLossLayerTest/1.TestGradientL1 [ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) [----------] 2 tests from HingeLossLayerTest/1 (1 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (1 ms) [----------] 1 test from LayerFactoryTest/0 (1 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (12 ms) [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (1 ms) [----------] 2 tests from InternalThreadTest (13 ms total) [----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/0.TestInfogainLoss [ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) [ RUN ] InfogainLossLayerTest/0.TestGradient [ OK ] InfogainLossLayerTest/0.TestGradient (1 ms) [----------] 2 tests from InfogainLossLayerTest/0 (1 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (4516 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [----------] 5 tests from SPPLayerTest/0 (4516 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (183 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (11 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (145 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (316 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (183 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (565 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (189 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (118 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (127 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [----------] 22 tests from ScaleLayerTest/0 (1838 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (9 ms) [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [----------] 3 tests from TanHLayerTest/1 (9 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill5D [ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (8 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (24 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (23 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (5 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (22 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (25 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (73 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (11 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (19 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (11 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (22 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (5 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (12 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (3 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (12 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (2 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (11 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (3 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (16 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (15 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (13 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (8 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (24 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (4 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (5 ms) [----------] 26 tests from IOTest (376 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (0 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (0 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (0 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (3 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (4 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (5 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (0 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (2 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (0 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (0 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (3 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (1 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (0 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (1 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (0 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (3 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (1 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (1 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (0 ms) [----------] 26 tests from NetTest/0 (32 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (14 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (27 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (25 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (65 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (18 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (15 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (64 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (68 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (13 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (314 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/0 (0 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from UniformFillerTest/0 (0 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (55 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (71 ms) [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (71 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [----------] 6 tests from XavierFillerTest/0 (197 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (9 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (9 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (8 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (4 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (8 ms) [----------] 10 tests from EltwiseLayerTest/0 (39 ms total) [----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/0.TestCreateSolver [ OK ] SolverFactoryTest/0.TestCreateSolver (0 ms) [----------] 1 test from SolverFactoryTest/0 (0 ms total) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (203 ms) [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/0 (203 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (15 ms) [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (1 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (26 ms) [----------] 5 tests from EmbedLayerTest/0 (42 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (10 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (8 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (2 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (1 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (2 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (180 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (203 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (2 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (7 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [----------] 58 tests from NeuronLayerTest/0 (499 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (5 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (4 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (4 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [----------] 9 tests from AccuracyLayerTest/1 (14 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (271 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1918 ms) [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (1257 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (3447 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (9 ms) [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/0 (16 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (1076 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (1342 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (2074 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (1 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (571 ms) [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [----------] 11 tests from PoolingLayerTest/1 (5064 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (1 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (11 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (11 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (4 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (4 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [----------] 6 tests from FlattenLayerTest/0 (8 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (112479 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pytest make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 CMakeFiles/pytest.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/pytest.dir/DependInfo.cmake --color= Scanning dependencies of target pytest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test Matplotlib is building the font cache; this may take a moment. .../build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead. self.assertEquals(ax, 1) ................WARNING: Logging before InitGoogleLogging() is written to STDERR I1225 09:50:48.802058 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I1225 09:50:48.802110 1277751 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I1225 09:50:48.802119 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I1225 09:50:48.802124 1277751 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I1225 09:50:48.802130 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 stage: "deploy" } layer { name: "deploy_data" type: "Input" top: "data" include { phase: TEST stage: "deploy" } input_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } } } layer { name: "ip" type: "InnerProduct" bottom: "data" top: "ip" inner_product_param { num_output: 2 } } layer { name: "pred" type: "Softmax" bottom: "ip" top: "pred" include { phase: TEST stage: "deploy" } } I1225 09:50:48.802224 1277751 layer_factory.hpp:77] Creating layer deploy_data I1225 09:50:48.802239 1277751 net.cpp:86] Creating Layer deploy_data I1225 09:50:48.802248 1277751 net.cpp:382] deploy_data -> data I1225 09:50:48.802286 1277751 net.cpp:124] Setting up deploy_data I1225 09:50:48.802292 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.802301 1277751 net.cpp:139] Memory required for data: 400 I1225 09:50:48.802305 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.802314 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.802318 1277751 net.cpp:408] ip <- data I1225 09:50:48.802325 1277751 net.cpp:382] ip -> ip I1225 09:50:48.802351 1277751 net.cpp:124] Setting up ip I1225 09:50:48.802356 1277751 net.cpp:131] Top shape: 1 2 (2) I1225 09:50:48.802361 1277751 net.cpp:139] Memory required for data: 408 I1225 09:50:48.802381 1277751 layer_factory.hpp:77] Creating layer pred I1225 09:50:48.802389 1277751 net.cpp:86] Creating Layer pred I1225 09:50:48.802394 1277751 net.cpp:408] pred <- ip I1225 09:50:48.802402 1277751 net.cpp:382] pred -> pred I1225 09:50:48.802418 1277751 net.cpp:124] Setting up pred I1225 09:50:48.802423 1277751 net.cpp:131] Top shape: 1 2 (2) I1225 09:50:48.802428 1277751 net.cpp:139] Memory required for data: 416 I1225 09:50:48.802433 1277751 net.cpp:202] pred does not need backward computation. I1225 09:50:48.802438 1277751 net.cpp:202] ip does not need backward computation. I1225 09:50:48.802443 1277751 net.cpp:202] deploy_data does not need backward computation. I1225 09:50:48.802446 1277751 net.cpp:244] This network produces output pred I1225 09:50:48.802453 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.815601 1277751 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I1225 09:50:48.815621 1277751 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I1225 09:50:48.815631 1277751 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I1225 09:50:48.815637 1277751 net.cpp:53] Initializing net from parameters: state { phase: TRAIN level: 0 stage: "train" } layer { name: "train_data" type: "DummyData" top: "data" top: "label" include { phase: TRAIN stage: "train" } dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } shape { dim: 1 dim: 1 dim: 1 dim: 1 } } } layer { name: "ip" type: "InnerProduct" bottom: "data" top: "ip" inner_product_param { num_output: 2 } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip" bottom: "label" top: "loss" include { phase: TRAIN stage: "train" } include { phase: TEST stage: "val" } } I1225 09:50:48.815745 1277751 layer_factory.hpp:77] Creating layer train_data I1225 09:50:48.815774 1277751 net.cpp:86] Creating Layer train_data I1225 09:50:48.815784 1277751 net.cpp:382] train_data -> data I1225 09:50:48.815802 1277751 net.cpp:382] train_data -> label I1225 09:50:48.815825 1277751 net.cpp:124] Setting up train_data I1225 09:50:48.815832 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.815843 1277751 net.cpp:131] Top shape: 1 1 1 1 (1) I1225 09:50:48.815850 1277751 net.cpp:139] Memory required for data: 404 I1225 09:50:48.815855 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.815865 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.815871 1277751 net.cpp:408] ip <- data I1225 09:50:48.815879 1277751 net.cpp:382] ip -> ip I1225 09:50:48.815902 1277751 net.cpp:124] Setting up ip I1225 09:50:48.815908 1277751 net.cpp:131] Top shape: 1 2 (2) I1225 09:50:48.815915 1277751 net.cpp:139] Memory required for data: 412 I1225 09:50:48.815927 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.815938 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.815943 1277751 net.cpp:408] loss <- ip I1225 09:50:48.815949 1277751 net.cpp:408] loss <- label I1225 09:50:48.815958 1277751 net.cpp:382] loss -> loss I1225 09:50:48.815980 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.816004 1277751 net.cpp:124] Setting up loss I1225 09:50:48.816009 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.816015 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.816044 1277751 net.cpp:139] Memory required for data: 416 I1225 09:50:48.816051 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.816058 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.816066 1277751 net.cpp:202] train_data does not need backward computation. I1225 09:50:48.816071 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.816080 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.817085 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I1225 09:50:48.817109 1277751 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I1225 09:50:48.817117 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I1225 09:50:48.817124 1277751 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I1225 09:50:48.817132 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 stage: "val" } layer { name: "val_data" type: "DummyData" top: "data" top: "label" include { phase: TEST stage: "val" } dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } shape { dim: 1 dim: 1 dim: 1 dim: 1 } } } layer { name: "ip" type: "InnerProduct" bottom: "data" top: "ip" inner_product_param { num_output: 2 } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip" bottom: "label" top: "loss" include { phase: TRAIN stage: "train" } include { phase: TEST stage: "val" } } I1225 09:50:48.817219 1277751 layer_factory.hpp:77] Creating layer val_data I1225 09:50:48.817231 1277751 net.cpp:86] Creating Layer val_data I1225 09:50:48.817241 1277751 net.cpp:382] val_data -> data I1225 09:50:48.817256 1277751 net.cpp:382] val_data -> label I1225 09:50:48.817273 1277751 net.cpp:124] Setting up val_data I1225 09:50:48.817279 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.817287 1277751 net.cpp:131] Top shape: 1 1 1 1 (1) I1225 09:50:48.817293 1277751 net.cpp:139] Memory required for data: 404 I1225 09:50:48.817299 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.817307 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.817313 1277751 net.cpp:408] ip <- data I1225 09:50:48.817322 1277751 net.cpp:382] ip -> ip I1225 09:50:48.817428 1277751 net.cpp:124] Setting up ip I1225 09:50:48.817440 1277751 net.cpp:131] Top shape: 1 2 (2) I1225 09:50:48.817446 1277751 net.cpp:139] Memory required for data: 412 I1225 09:50:48.817459 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.817471 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.817476 1277751 net.cpp:408] loss <- ip I1225 09:50:48.817483 1277751 net.cpp:408] loss <- label I1225 09:50:48.817492 1277751 net.cpp:382] loss -> loss I1225 09:50:48.817503 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.817524 1277751 net.cpp:124] Setting up loss I1225 09:50:48.817529 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.817535 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.817550 1277751 net.cpp:139] Memory required for data: 416 I1225 09:50:48.817555 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.817561 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.817567 1277751 net.cpp:202] val_data does not need backward computation. I1225 09:50:48.817572 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.817580 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.818339 1277751 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I1225 09:50:48.818351 1277751 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I1225 09:50:48.818357 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 } layer { name: "data" type: "DummyData" top: "data" dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } } } layer { name: "NoLevel" type: "InnerProduct" bottom: "data" top: "NoLevel" inner_product_param { num_output: 1 } } layer { name: "Level0Only" type: "InnerProduct" bottom: "data" top: "Level0Only" include { min_level: 0 max_level: 0 } inner_product_param { num_output: 1 } } layer { name: "Level>=0" type: "InnerProduct" bottom: "data" top: "Level>=0" include { min_level: 0 } inner_product_param { num_output: 1 } } I1225 09:50:48.818451 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.818462 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.818470 1277751 net.cpp:382] data -> data I1225 09:50:48.818485 1277751 net.cpp:124] Setting up data I1225 09:50:48.818490 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.818496 1277751 net.cpp:139] Memory required for data: 400 I1225 09:50:48.818500 1277751 layer_factory.hpp:77] Creating layer data_data_0_split I1225 09:50:48.818512 1277751 net.cpp:86] Creating Layer data_data_0_split I1225 09:50:48.818517 1277751 net.cpp:408] data_data_0_split <- data I1225 09:50:48.818524 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1225 09:50:48.818533 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1225 09:50:48.818542 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1225 09:50:48.818564 1277751 net.cpp:124] Setting up data_data_0_split I1225 09:50:48.818570 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.818576 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.818583 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.818588 1277751 net.cpp:139] Memory required for data: 1600 I1225 09:50:48.818591 1277751 layer_factory.hpp:77] Creating layer NoLevel I1225 09:50:48.818598 1277751 net.cpp:86] Creating Layer NoLevel I1225 09:50:48.818603 1277751 net.cpp:408] NoLevel <- data_data_0_split_0 I1225 09:50:48.818611 1277751 net.cpp:382] NoLevel -> NoLevel I1225 09:50:48.818627 1277751 net.cpp:124] Setting up NoLevel I1225 09:50:48.818632 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.818639 1277751 net.cpp:139] Memory required for data: 1604 I1225 09:50:48.818650 1277751 layer_factory.hpp:77] Creating layer Level0Only I1225 09:50:48.818656 1277751 net.cpp:86] Creating Layer Level0Only I1225 09:50:48.818661 1277751 net.cpp:408] Level0Only <- data_data_0_split_1 I1225 09:50:48.818668 1277751 net.cpp:382] Level0Only -> Level0Only I1225 09:50:48.818682 1277751 net.cpp:124] Setting up Level0Only I1225 09:50:48.818687 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.818693 1277751 net.cpp:139] Memory required for data: 1608 I1225 09:50:48.818701 1277751 layer_factory.hpp:77] Creating layer Level>=0 I1225 09:50:48.818711 1277751 net.cpp:86] Creating Layer Level>=0 I1225 09:50:48.818714 1277751 net.cpp:408] Level>=0 <- data_data_0_split_2 I1225 09:50:48.818722 1277751 net.cpp:382] Level>=0 -> Level>=0 I1225 09:50:48.818735 1277751 net.cpp:124] Setting up Level>=0 I1225 09:50:48.818740 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.818745 1277751 net.cpp:139] Memory required for data: 1612 I1225 09:50:48.818754 1277751 net.cpp:202] Level>=0 does not need backward computation. I1225 09:50:48.818759 1277751 net.cpp:202] Level0Only does not need backward computation. I1225 09:50:48.818764 1277751 net.cpp:202] NoLevel does not need backward computation. I1225 09:50:48.818770 1277751 net.cpp:202] data_data_0_split does not need backward computation. I1225 09:50:48.818775 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.818779 1277751 net.cpp:244] This network produces output Level0Only I1225 09:50:48.818784 1277751 net.cpp:244] This network produces output Level>=0 I1225 09:50:48.818789 1277751 net.cpp:244] This network produces output NoLevel I1225 09:50:48.818802 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.819332 1277751 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I1225 09:50:48.819344 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 1 } layer { name: "data" type: "DummyData" top: "data" dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } } } layer { name: "NoLevel" type: "InnerProduct" bottom: "data" top: "NoLevel" inner_product_param { num_output: 1 } } layer { name: "Level1Only" type: "InnerProduct" bottom: "data" top: "Level1Only" include { min_level: 1 max_level: 1 } inner_product_param { num_output: 1 } } layer { name: "Level>=0" type: "InnerProduct" bottom: "data" top: "Level>=0" include { min_level: 0 } inner_product_param { num_output: 1 } } layer { name: "Level>=1" type: "InnerProduct" bottom: "data" top: "Level>=1" include { min_level: 1 } inner_product_param { num_output: 1 } } I1225 09:50:48.819445 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.819455 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.819461 1277751 net.cpp:382] data -> data I1225 09:50:48.819475 1277751 net.cpp:124] Setting up data I1225 09:50:48.819481 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.819487 1277751 net.cpp:139] Memory required for data: 400 I1225 09:50:48.819491 1277751 layer_factory.hpp:77] Creating layer data_data_0_split I1225 09:50:48.819500 1277751 net.cpp:86] Creating Layer data_data_0_split I1225 09:50:48.819505 1277751 net.cpp:408] data_data_0_split <- data I1225 09:50:48.819514 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1225 09:50:48.819521 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1225 09:50:48.819530 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1225 09:50:48.819540 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_3 I1225 09:50:48.819551 1277751 net.cpp:124] Setting up data_data_0_split I1225 09:50:48.819557 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.819563 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.819569 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.819574 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.819581 1277751 net.cpp:139] Memory required for data: 2000 I1225 09:50:48.819584 1277751 layer_factory.hpp:77] Creating layer NoLevel I1225 09:50:48.819591 1277751 net.cpp:86] Creating Layer NoLevel I1225 09:50:48.819597 1277751 net.cpp:408] NoLevel <- data_data_0_split_0 I1225 09:50:48.819603 1277751 net.cpp:382] NoLevel -> NoLevel I1225 09:50:48.819620 1277751 net.cpp:124] Setting up NoLevel I1225 09:50:48.819624 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.819630 1277751 net.cpp:139] Memory required for data: 2004 I1225 09:50:48.819641 1277751 layer_factory.hpp:77] Creating layer Level1Only I1225 09:50:48.819649 1277751 net.cpp:86] Creating Layer Level1Only I1225 09:50:48.819654 1277751 net.cpp:408] Level1Only <- data_data_0_split_1 I1225 09:50:48.819661 1277751 net.cpp:382] Level1Only -> Level1Only I1225 09:50:48.819677 1277751 net.cpp:124] Setting up Level1Only I1225 09:50:48.819681 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.819686 1277751 net.cpp:139] Memory required for data: 2008 I1225 09:50:48.819694 1277751 layer_factory.hpp:77] Creating layer Level>=0 I1225 09:50:48.819702 1277751 net.cpp:86] Creating Layer Level>=0 I1225 09:50:48.819707 1277751 net.cpp:408] Level>=0 <- data_data_0_split_2 I1225 09:50:48.819715 1277751 net.cpp:382] Level>=0 -> Level>=0 I1225 09:50:48.819728 1277751 net.cpp:124] Setting up Level>=0 I1225 09:50:48.819732 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.819737 1277751 net.cpp:139] Memory required for data: 2012 I1225 09:50:48.819746 1277751 layer_factory.hpp:77] Creating layer Level>=1 I1225 09:50:48.819756 1277751 net.cpp:86] Creating Layer Level>=1 I1225 09:50:48.819761 1277751 net.cpp:408] Level>=1 <- data_data_0_split_3 I1225 09:50:48.819769 1277751 net.cpp:382] Level>=1 -> Level>=1 I1225 09:50:48.819787 1277751 net.cpp:124] Setting up Level>=1 I1225 09:50:48.819792 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.819798 1277751 net.cpp:139] Memory required for data: 2016 I1225 09:50:48.819804 1277751 net.cpp:202] Level>=1 does not need backward computation. I1225 09:50:48.819810 1277751 net.cpp:202] Level>=0 does not need backward computation. I1225 09:50:48.819815 1277751 net.cpp:202] Level1Only does not need backward computation. I1225 09:50:48.819820 1277751 net.cpp:202] NoLevel does not need backward computation. I1225 09:50:48.819826 1277751 net.cpp:202] data_data_0_split does not need backward computation. I1225 09:50:48.819833 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.819836 1277751 net.cpp:244] This network produces output Level1Only I1225 09:50:48.819842 1277751 net.cpp:244] This network produces output Level>=0 I1225 09:50:48.819847 1277751 net.cpp:244] This network produces output Level>=1 I1225 09:50:48.819852 1277751 net.cpp:244] This network produces output NoLevel I1225 09:50:48.819862 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.830921 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.831143 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.831161 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.831171 1277751 net.cpp:382] data -> data I1225 09:50:48.831188 1277751 net.cpp:382] data -> label I1225 09:50:48.831208 1277751 net.cpp:124] Setting up data I1225 09:50:48.831214 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.831223 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.831228 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.831233 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.831248 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.831252 1277751 net.cpp:408] conv <- data I1225 09:50:48.831264 1277751 net.cpp:382] conv -> conv I1225 09:50:48.831375 1277751 net.cpp:124] Setting up conv I1225 09:50:48.831382 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.831388 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.831401 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.831411 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.831416 1277751 net.cpp:408] ip <- conv I1225 09:50:48.831425 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.831620 1277751 net.cpp:124] Setting up ip I1225 09:50:48.831627 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.831632 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.831641 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.831651 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.831655 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.831661 1277751 net.cpp:408] loss <- label I1225 09:50:48.831667 1277751 net.cpp:382] loss -> loss I1225 09:50:48.831681 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.831701 1277751 net.cpp:124] Setting up loss I1225 09:50:48.831707 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.831712 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.831723 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.831727 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.831733 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.831738 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.831743 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.831748 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.831758 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.834782 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.834951 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.834967 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.834977 1277751 net.cpp:382] data -> data I1225 09:50:48.834991 1277751 net.cpp:382] data -> label I1225 09:50:48.835012 1277751 net.cpp:124] Setting up data I1225 09:50:48.835018 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.835027 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.835032 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.835037 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.835050 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.835055 1277751 net.cpp:408] conv <- data I1225 09:50:48.835067 1277751 net.cpp:382] conv -> conv I1225 09:50:48.835103 1277751 net.cpp:124] Setting up conv I1225 09:50:48.835108 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.835114 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.835126 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.835135 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.835140 1277751 net.cpp:408] ip <- conv I1225 09:50:48.835148 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.835309 1277751 net.cpp:124] Setting up ip I1225 09:50:48.835315 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.835320 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.835330 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.835338 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.835342 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.835348 1277751 net.cpp:408] loss <- label I1225 09:50:48.835355 1277751 net.cpp:382] loss -> loss I1225 09:50:48.835366 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.835384 1277751 net.cpp:124] Setting up loss I1225 09:50:48.835389 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.835394 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.835404 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.835409 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.835415 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.835422 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.835426 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.835431 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.835440 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.841166 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.841334 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.841356 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.841368 1277751 net.cpp:382] data -> data I1225 09:50:48.841389 1277751 net.cpp:382] data -> label I1225 09:50:48.841410 1277751 net.cpp:124] Setting up data I1225 09:50:48.841415 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.841424 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.841430 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.841435 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.841449 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.841454 1277751 net.cpp:408] conv <- data I1225 09:50:48.841468 1277751 net.cpp:382] conv -> conv I1225 09:50:48.841508 1277751 net.cpp:124] Setting up conv I1225 09:50:48.841513 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.841518 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.841531 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.841542 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.841547 1277751 net.cpp:408] ip <- conv I1225 09:50:48.841554 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.841714 1277751 net.cpp:124] Setting up ip I1225 09:50:48.841719 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.841724 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.841732 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.841742 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.841746 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.841753 1277751 net.cpp:408] loss <- label I1225 09:50:48.841761 1277751 net.cpp:382] loss -> loss I1225 09:50:48.841776 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.841796 1277751 net.cpp:124] Setting up loss I1225 09:50:48.841801 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.841806 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.841820 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.841825 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.841831 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.841837 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.841842 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.841847 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.841857 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.850945 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.851181 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.851203 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.851217 1277751 net.cpp:382] data -> data I1225 09:50:48.851240 1277751 net.cpp:382] data -> label I1225 09:50:48.851267 1277751 net.cpp:124] Setting up data I1225 09:50:48.851274 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.851285 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.851291 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.851297 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.851313 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.851320 1277751 net.cpp:408] conv <- data I1225 09:50:48.851331 1277751 net.cpp:382] conv -> conv I1225 09:50:48.851377 1277751 net.cpp:124] Setting up conv I1225 09:50:48.851383 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.851390 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.851403 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.851418 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.851423 1277751 net.cpp:408] ip <- conv I1225 09:50:48.851433 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.851619 1277751 net.cpp:124] Setting up ip I1225 09:50:48.851626 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.851632 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.851644 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.851653 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.851667 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.851672 1277751 net.cpp:408] loss <- label I1225 09:50:48.851680 1277751 net.cpp:382] loss -> loss I1225 09:50:48.851692 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.851713 1277751 net.cpp:124] Setting up loss I1225 09:50:48.851718 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.851723 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.851735 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.851742 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.851747 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.851752 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.851758 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.851763 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.851773 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.854281 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.854452 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.854471 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.854482 1277751 net.cpp:382] data -> data I1225 09:50:48.854498 1277751 net.cpp:382] data -> label I1225 09:50:48.854516 1277751 net.cpp:124] Setting up data I1225 09:50:48.854522 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.854530 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.854537 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.854542 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.854558 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.854563 1277751 net.cpp:408] conv <- data I1225 09:50:48.854575 1277751 net.cpp:382] conv -> conv I1225 09:50:48.854616 1277751 net.cpp:124] Setting up conv I1225 09:50:48.854622 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.854629 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.854642 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.854652 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.854657 1277751 net.cpp:408] ip <- conv I1225 09:50:48.854666 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.854828 1277751 net.cpp:124] Setting up ip I1225 09:50:48.854835 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.854840 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.854849 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.854858 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.854862 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.854868 1277751 net.cpp:408] loss <- label I1225 09:50:48.854876 1277751 net.cpp:382] loss -> loss I1225 09:50:48.854887 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.854907 1277751 net.cpp:124] Setting up loss I1225 09:50:48.854912 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.854916 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.854928 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.854933 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.854938 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.854943 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.854948 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.854952 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.854960 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.855952 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.856109 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.856124 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.856133 1277751 net.cpp:382] data -> data I1225 09:50:48.856148 1277751 net.cpp:382] data -> label I1225 09:50:48.856164 1277751 net.cpp:124] Setting up data I1225 09:50:48.856170 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.856178 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.856185 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.856190 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.856204 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.856209 1277751 net.cpp:408] conv <- data I1225 09:50:48.856220 1277751 net.cpp:382] conv -> conv I1225 09:50:48.856259 1277751 net.cpp:124] Setting up conv I1225 09:50:48.856266 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.856273 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.856284 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.856294 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.856300 1277751 net.cpp:408] ip <- conv I1225 09:50:48.856309 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.857120 1277751 net.cpp:124] Setting up ip I1225 09:50:48.857141 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.857149 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.857164 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.857175 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.857182 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.857189 1277751 net.cpp:408] loss <- label I1225 09:50:48.857200 1277751 net.cpp:382] loss -> loss I1225 09:50:48.857215 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.857239 1277751 net.cpp:124] Setting up loss I1225 09:50:48.857244 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.857251 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.857266 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.857271 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.857277 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.857283 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.857290 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.857295 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.857304 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.858471 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.858608 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.858621 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.858629 1277751 net.cpp:382] data -> data I1225 09:50:48.858641 1277751 net.cpp:382] data -> label I1225 09:50:48.858655 1277751 net.cpp:124] Setting up data I1225 09:50:48.858660 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.858667 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.858673 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.858677 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.858690 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.858693 1277751 net.cpp:408] conv <- data I1225 09:50:48.858703 1277751 net.cpp:382] conv -> conv I1225 09:50:48.858736 1277751 net.cpp:124] Setting up conv I1225 09:50:48.858740 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.858745 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.858757 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.858765 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.858769 1277751 net.cpp:408] ip <- conv I1225 09:50:48.858777 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.858935 1277751 net.cpp:124] Setting up ip I1225 09:50:48.858940 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.858947 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.858955 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.858963 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.858968 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.858975 1277751 net.cpp:408] loss <- label I1225 09:50:48.858985 1277751 net.cpp:382] loss -> loss I1225 09:50:48.858996 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.859014 1277751 net.cpp:124] Setting up loss I1225 09:50:48.859019 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.859023 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.859032 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.859036 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.859045 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.859053 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.859059 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.859064 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.859072 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.860282 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.860414 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.860426 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.860991 1277751 net.cpp:382] data -> data I1225 09:50:48.861009 1277751 net.cpp:382] data -> label I1225 09:50:48.861028 1277751 net.cpp:124] Setting up data I1225 09:50:48.861034 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.861042 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.861048 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.861053 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.861068 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.861073 1277751 net.cpp:408] conv <- data I1225 09:50:48.861083 1277751 net.cpp:382] conv -> conv I1225 09:50:48.861124 1277751 net.cpp:124] Setting up conv I1225 09:50:48.861129 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.861135 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.861150 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.861161 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.861166 1277751 net.cpp:408] ip <- conv I1225 09:50:48.861177 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.861358 1277751 net.cpp:124] Setting up ip I1225 09:50:48.861366 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.861371 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.861382 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.861392 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.861397 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.861403 1277751 net.cpp:408] loss <- label I1225 09:50:48.861411 1277751 net.cpp:382] loss -> loss I1225 09:50:48.861423 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.861444 1277751 net.cpp:124] Setting up loss I1225 09:50:48.861450 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.861456 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.861470 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.861475 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.861483 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.861490 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.861495 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.861501 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.861511 1277751 net.cpp:257] Network initialization done. W1225 09:50:48.862576 1277751 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W1225 09:50:48.862588 1277751 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W1225 09:50:48.862593 1277751 _caffe.cpp:142] Net('/tmp/tmpqcq39yv8', 0, weights='/tmp/tmpgg8kuj79') I1225 09:50:48.862802 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.862963 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.862979 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.862989 1277751 net.cpp:382] data -> data I1225 09:50:48.863005 1277751 net.cpp:382] data -> label I1225 09:50:48.863030 1277751 net.cpp:124] Setting up data I1225 09:50:48.863036 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.863044 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.863051 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.863057 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.863073 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.863078 1277751 net.cpp:408] conv <- data I1225 09:50:48.863090 1277751 net.cpp:382] conv -> conv I1225 09:50:48.863132 1277751 net.cpp:124] Setting up conv I1225 09:50:48.863138 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.863145 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.863157 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.863169 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.863178 1277751 net.cpp:408] ip <- conv I1225 09:50:48.863188 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.863390 1277751 net.cpp:124] Setting up ip I1225 09:50:48.863397 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.863404 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.863415 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.863425 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.863430 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.863436 1277751 net.cpp:408] loss <- label I1225 09:50:48.863445 1277751 net.cpp:382] loss -> loss I1225 09:50:48.863457 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.863485 1277751 net.cpp:124] Setting up loss I1225 09:50:48.863492 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.863498 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.863509 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.863514 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.863520 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.863526 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.863533 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.863538 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.863548 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.868196 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.868386 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.868402 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.868412 1277751 net.cpp:382] data -> data I1225 09:50:48.868425 1277751 net.cpp:382] data -> label I1225 09:50:48.868511 1277751 net.cpp:124] Setting up data I1225 09:50:48.868520 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.868530 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.868548 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.868554 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.868569 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.868577 1277751 net.cpp:408] conv <- data I1225 09:50:48.868589 1277751 net.cpp:382] conv -> conv I1225 09:50:48.868631 1277751 net.cpp:124] Setting up conv I1225 09:50:48.868638 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.868644 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.868659 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.868669 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.868674 1277751 net.cpp:408] ip <- conv I1225 09:50:48.868683 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.868866 1277751 net.cpp:124] Setting up ip I1225 09:50:48.868873 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.868880 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.868891 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.868898 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.868904 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.868911 1277751 net.cpp:408] loss <- label I1225 09:50:48.868918 1277751 net.cpp:382] loss -> loss I1225 09:50:48.868930 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.868952 1277751 net.cpp:124] Setting up loss I1225 09:50:48.868957 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.868963 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.868975 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.868981 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.868988 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.868993 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.869002 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.869007 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.869016 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.870501 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.870643 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.870657 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.870666 1277751 net.cpp:382] data -> data I1225 09:50:48.870677 1277751 net.cpp:382] data -> label I1225 09:50:48.870692 1277751 net.cpp:124] Setting up data I1225 09:50:48.870698 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.870707 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.870712 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.870715 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.870728 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.870733 1277751 net.cpp:408] conv <- data I1225 09:50:48.870743 1277751 net.cpp:382] conv -> conv I1225 09:50:48.870774 1277751 net.cpp:124] Setting up conv I1225 09:50:48.870780 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.870786 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.870796 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.870805 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.870810 1277751 net.cpp:408] ip <- conv I1225 09:50:48.870817 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.870972 1277751 net.cpp:124] Setting up ip I1225 09:50:48.870980 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.870985 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.870993 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.871001 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.871006 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.871011 1277751 net.cpp:408] loss <- label I1225 09:50:48.871017 1277751 net.cpp:382] loss -> loss I1225 09:50:48.871027 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.871044 1277751 net.cpp:124] Setting up loss I1225 09:50:48.871049 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.871055 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.871065 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.871069 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.871074 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.871079 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.871085 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.871090 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.871098 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.874286 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.874473 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.874491 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.874500 1277751 net.cpp:382] data -> data I1225 09:50:48.874517 1277751 net.cpp:382] data -> label I1225 09:50:48.874536 1277751 net.cpp:124] Setting up data I1225 09:50:48.874543 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.874552 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.874557 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.874563 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.874577 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.874583 1277751 net.cpp:408] conv <- data I1225 09:50:48.874594 1277751 net.cpp:382] conv -> conv I1225 09:50:48.874632 1277751 net.cpp:124] Setting up conv I1225 09:50:48.874637 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.874644 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.874656 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.874666 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.874672 1277751 net.cpp:408] ip <- conv I1225 09:50:48.874680 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.874866 1277751 net.cpp:124] Setting up ip I1225 09:50:48.874871 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.874878 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.874887 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.874897 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.874902 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.874907 1277751 net.cpp:408] loss <- label I1225 09:50:48.874913 1277751 net.cpp:382] loss -> loss I1225 09:50:48.874930 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.874949 1277751 net.cpp:124] Setting up loss I1225 09:50:48.874954 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.874961 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.874974 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.874979 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.874985 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.874991 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.874997 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.875002 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.875011 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.875627 1277751 hdf5.cpp:33] Datatype class: H5T_FLOAT .I1225 09:50:48.884711 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:48.884907 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.884928 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.884938 1277751 net.cpp:382] data -> data I1225 09:50:48.884955 1277751 net.cpp:382] data -> label I1225 09:50:48.884975 1277751 net.cpp:124] Setting up data I1225 09:50:48.884985 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:48.884995 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:48.885001 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:48.885007 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:48.885022 1277751 net.cpp:86] Creating Layer conv I1225 09:50:48.885030 1277751 net.cpp:408] conv <- data I1225 09:50:48.885040 1277751 net.cpp:382] conv -> conv I1225 09:50:48.885085 1277751 net.cpp:124] Setting up conv I1225 09:50:48.885092 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:48.885098 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:48.885113 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:48.885123 1277751 net.cpp:86] Creating Layer ip I1225 09:50:48.885130 1277751 net.cpp:408] ip <- conv I1225 09:50:48.885139 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:48.885330 1277751 net.cpp:124] Setting up ip I1225 09:50:48.885337 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:48.885344 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:48.885354 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.885365 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.885370 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:48.885375 1277751 net.cpp:408] loss <- label I1225 09:50:48.885385 1277751 net.cpp:382] loss -> loss I1225 09:50:48.885396 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.885416 1277751 net.cpp:124] Setting up loss I1225 09:50:48.885421 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.885427 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.885440 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:48.885445 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.885452 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:48.885457 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:48.885463 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.885469 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.885478 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.891595 1277751 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I1225 09:50:48.891629 1277751 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I1225 09:50:48.891636 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 stage: "A" } layer { name: "data" type: "DummyData" top: "data" dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } } } layer { name: "A" type: "InnerProduct" bottom: "data" top: "A" include { stage: "A" } inner_product_param { num_output: 1 } } layer { name: "AorB" type: "InnerProduct" bottom: "data" top: "AorB" include { stage: "A" } include { stage: "B" } inner_product_param { num_output: 1 } } I1225 09:50:48.891763 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.891779 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.891789 1277751 net.cpp:382] data -> data I1225 09:50:48.891816 1277751 net.cpp:124] Setting up data I1225 09:50:48.891824 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.891830 1277751 net.cpp:139] Memory required for data: 400 I1225 09:50:48.891836 1277751 layer_factory.hpp:77] Creating layer data_data_0_split I1225 09:50:48.891846 1277751 net.cpp:86] Creating Layer data_data_0_split I1225 09:50:48.891852 1277751 net.cpp:408] data_data_0_split <- data I1225 09:50:48.891861 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1225 09:50:48.891871 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1225 09:50:48.891882 1277751 net.cpp:124] Setting up data_data_0_split I1225 09:50:48.891887 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.891894 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.891901 1277751 net.cpp:139] Memory required for data: 1200 I1225 09:50:48.891904 1277751 layer_factory.hpp:77] Creating layer A I1225 09:50:48.891916 1277751 net.cpp:86] Creating Layer A I1225 09:50:48.891919 1277751 net.cpp:408] A <- data_data_0_split_0 I1225 09:50:48.891929 1277751 net.cpp:382] A -> A I1225 09:50:48.891950 1277751 net.cpp:124] Setting up A I1225 09:50:48.891957 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.891963 1277751 net.cpp:139] Memory required for data: 1204 I1225 09:50:48.892091 1277751 layer_factory.hpp:77] Creating layer AorB I1225 09:50:48.892102 1277751 net.cpp:86] Creating Layer AorB I1225 09:50:48.892107 1277751 net.cpp:408] AorB <- data_data_0_split_1 I1225 09:50:48.892117 1277751 net.cpp:382] AorB -> AorB I1225 09:50:48.892136 1277751 net.cpp:124] Setting up AorB I1225 09:50:48.892143 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.892149 1277751 net.cpp:139] Memory required for data: 1208 I1225 09:50:48.892159 1277751 net.cpp:202] AorB does not need backward computation. I1225 09:50:48.892164 1277751 net.cpp:202] A does not need backward computation. I1225 09:50:48.892170 1277751 net.cpp:202] data_data_0_split does not need backward computation. I1225 09:50:48.892176 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.892181 1277751 net.cpp:244] This network produces output A I1225 09:50:48.892187 1277751 net.cpp:244] This network produces output AorB I1225 09:50:48.892199 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.894174 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 stage: "A" stage: "B" } layer { name: "data" type: "DummyData" top: "data" dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } } } layer { name: "A" type: "InnerProduct" bottom: "data" top: "A" include { stage: "A" } inner_product_param { num_output: 1 } } layer { name: "B" type: "InnerProduct" bottom: "data" top: "B" include { stage: "B" } inner_product_param { num_output: 1 } } layer { name: "AorB" type: "InnerProduct" bottom: "data" top: "AorB" include { stage: "A" } include { stage: "B" } inner_product_param { num_output: 1 } } layer { name: "AandB" type: "InnerProduct" bottom: "data" top: "AandB" include { stage: "A" stage: "B" } inner_product_param { num_output: 1 } } I1225 09:50:48.894313 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.894326 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.894333 1277751 net.cpp:382] data -> data I1225 09:50:48.894356 1277751 net.cpp:124] Setting up data I1225 09:50:48.894361 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.894367 1277751 net.cpp:139] Memory required for data: 400 I1225 09:50:48.894373 1277751 layer_factory.hpp:77] Creating layer data_data_0_split I1225 09:50:48.894383 1277751 net.cpp:86] Creating Layer data_data_0_split I1225 09:50:48.894388 1277751 net.cpp:408] data_data_0_split <- data I1225 09:50:48.894397 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1225 09:50:48.894408 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1225 09:50:48.894418 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1225 09:50:48.894426 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_3 I1225 09:50:48.894436 1277751 net.cpp:124] Setting up data_data_0_split I1225 09:50:48.894443 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.894448 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.894455 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.894461 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.894467 1277751 net.cpp:139] Memory required for data: 2000 I1225 09:50:48.894471 1277751 layer_factory.hpp:77] Creating layer A I1225 09:50:48.894480 1277751 net.cpp:86] Creating Layer A I1225 09:50:48.894484 1277751 net.cpp:408] A <- data_data_0_split_0 I1225 09:50:48.894492 1277751 net.cpp:382] A -> A I1225 09:50:48.894510 1277751 net.cpp:124] Setting up A I1225 09:50:48.894516 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.894521 1277751 net.cpp:139] Memory required for data: 2004 I1225 09:50:48.894533 1277751 layer_factory.hpp:77] Creating layer B I1225 09:50:48.894541 1277751 net.cpp:86] Creating Layer B I1225 09:50:48.894546 1277751 net.cpp:408] B <- data_data_0_split_1 I1225 09:50:48.894553 1277751 net.cpp:382] B -> B I1225 09:50:48.894567 1277751 net.cpp:124] Setting up B I1225 09:50:48.894570 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.894575 1277751 net.cpp:139] Memory required for data: 2008 I1225 09:50:48.894583 1277751 layer_factory.hpp:77] Creating layer AorB I1225 09:50:48.894590 1277751 net.cpp:86] Creating Layer AorB I1225 09:50:48.894595 1277751 net.cpp:408] AorB <- data_data_0_split_2 I1225 09:50:48.894603 1277751 net.cpp:382] AorB -> AorB I1225 09:50:48.894615 1277751 net.cpp:124] Setting up AorB I1225 09:50:48.894619 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.894624 1277751 net.cpp:139] Memory required for data: 2012 I1225 09:50:48.894632 1277751 layer_factory.hpp:77] Creating layer AandB I1225 09:50:48.894640 1277751 net.cpp:86] Creating Layer AandB I1225 09:50:48.894645 1277751 net.cpp:408] AandB <- data_data_0_split_3 I1225 09:50:48.894652 1277751 net.cpp:382] AandB -> AandB I1225 09:50:48.894665 1277751 net.cpp:124] Setting up AandB I1225 09:50:48.894670 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.894675 1277751 net.cpp:139] Memory required for data: 2016 I1225 09:50:48.894685 1277751 net.cpp:202] AandB does not need backward computation. I1225 09:50:48.894690 1277751 net.cpp:202] AorB does not need backward computation. I1225 09:50:48.894693 1277751 net.cpp:202] B does not need backward computation. I1225 09:50:48.894698 1277751 net.cpp:202] A does not need backward computation. I1225 09:50:48.894703 1277751 net.cpp:202] data_data_0_split does not need backward computation. I1225 09:50:48.894708 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.894712 1277751 net.cpp:244] This network produces output A I1225 09:50:48.894717 1277751 net.cpp:244] This network produces output AandB I1225 09:50:48.894722 1277751 net.cpp:244] This network produces output AorB I1225 09:50:48.894726 1277751 net.cpp:244] This network produces output B I1225 09:50:48.894737 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.895362 1277751 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I1225 09:50:48.895373 1277751 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I1225 09:50:48.895380 1277751 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I1225 09:50:48.895385 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 stage: "B" } layer { name: "data" type: "DummyData" top: "data" dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } } } layer { name: "B" type: "InnerProduct" bottom: "data" top: "B" include { stage: "B" } inner_product_param { num_output: 1 } } layer { name: "AorB" type: "InnerProduct" bottom: "data" top: "AorB" include { stage: "A" } include { stage: "B" } inner_product_param { num_output: 1 } } I1225 09:50:48.895476 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.895486 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.895494 1277751 net.cpp:382] data -> data I1225 09:50:48.895509 1277751 net.cpp:124] Setting up data I1225 09:50:48.895515 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.895521 1277751 net.cpp:139] Memory required for data: 400 I1225 09:50:48.895527 1277751 layer_factory.hpp:77] Creating layer data_data_0_split I1225 09:50:48.895535 1277751 net.cpp:86] Creating Layer data_data_0_split I1225 09:50:48.895540 1277751 net.cpp:408] data_data_0_split <- data I1225 09:50:48.895548 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1225 09:50:48.895557 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1225 09:50:48.895567 1277751 net.cpp:124] Setting up data_data_0_split I1225 09:50:48.895572 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.895579 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) I1225 09:50:48.895586 1277751 net.cpp:139] Memory required for data: 1200 I1225 09:50:48.895591 1277751 layer_factory.hpp:77] Creating layer B I1225 09:50:48.895598 1277751 net.cpp:86] Creating Layer B I1225 09:50:48.895603 1277751 net.cpp:408] B <- data_data_0_split_0 I1225 09:50:48.895612 1277751 net.cpp:382] B -> B I1225 09:50:48.895627 1277751 net.cpp:124] Setting up B I1225 09:50:48.895632 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.895638 1277751 net.cpp:139] Memory required for data: 1204 I1225 09:50:48.895649 1277751 layer_factory.hpp:77] Creating layer AorB I1225 09:50:48.895659 1277751 net.cpp:86] Creating Layer AorB I1225 09:50:48.895664 1277751 net.cpp:408] AorB <- data_data_0_split_1 I1225 09:50:48.895673 1277751 net.cpp:382] AorB -> AorB I1225 09:50:48.895689 1277751 net.cpp:124] Setting up AorB I1225 09:50:48.895694 1277751 net.cpp:131] Top shape: 1 1 (1) I1225 09:50:48.895700 1277751 net.cpp:139] Memory required for data: 1208 I1225 09:50:48.895709 1277751 net.cpp:202] AorB does not need backward computation. I1225 09:50:48.895715 1277751 net.cpp:202] B does not need backward computation. I1225 09:50:48.895720 1277751 net.cpp:202] data_data_0_split does not need backward computation. I1225 09:50:48.895730 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.895735 1277751 net.cpp:244] This network produces output AorB I1225 09:50:48.895740 1277751 net.cpp:244] This network produces output B I1225 09:50:48.895749 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.897747 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "label" transform_param { scale: 0.00392156886 } dummy_data_param { shape { dim: 50 dim: 1 dim: 28 dim: 28 } shape { dim: 50 dim: 1 dim: 1 dim: 1 } } } layer { name: "conv1" type: "Convolution" bottom: "data" top: "conv1" convolution_param { num_output: 20 kernel_size: 5 weight_filler { type: "xavier" } } } layer { name: "pool1" type: "Pooling" bottom: "conv1" top: "pool1" pooling_param { pool: MAX kernel_size: 2 stride: 2 } } layer { name: "conv2" type: "Convolution" bottom: "pool1" top: "conv2" convolution_param { num_output: 50 kernel_size: 5 weight_filler { type: "xavier" } } } layer { name: "pool2" type: "Pooling" bottom: "conv2" top: "pool2" pooling_param { pool: MAX kernel_size: 2 stride: 2 } } layer { name: "ip1" type: "InnerProduct" bottom: "pool2" top: "ip1" inner_product_param { num_output: 500 weight_filler { type: "xavier" } } } layer { name: "relu1" type: "ReLU" bottom: "ip1" top: "ip1" } layer { name: "ip2" type: "InnerProduct" bottom: "ip1" top: "ip2" inner_product_param { num_output: 10 weight_filler { type: "xavier" } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip2" bottom: "label" top: "loss" } I1225 09:50:48.897929 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.897941 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.897949 1277751 net.cpp:382] data -> data I1225 09:50:48.897964 1277751 net.cpp:382] data -> label I1225 09:50:48.898048 1277751 net.cpp:124] Setting up data I1225 09:50:48.898054 1277751 net.cpp:131] Top shape: 50 1 28 28 (39200) I1225 09:50:48.898063 1277751 net.cpp:131] Top shape: 50 1 1 1 (50) I1225 09:50:48.898069 1277751 net.cpp:139] Memory required for data: 157000 I1225 09:50:48.898074 1277751 layer_factory.hpp:77] Creating layer conv1 I1225 09:50:48.898084 1277751 net.cpp:86] Creating Layer conv1 I1225 09:50:48.898090 1277751 net.cpp:408] conv1 <- data I1225 09:50:48.898098 1277751 net.cpp:382] conv1 -> conv1 I1225 09:50:48.898138 1277751 net.cpp:124] Setting up conv1 I1225 09:50:48.898144 1277751 net.cpp:131] Top shape: 50 20 24 24 (576000) I1225 09:50:48.898150 1277751 net.cpp:139] Memory required for data: 2461000 I1225 09:50:48.898161 1277751 layer_factory.hpp:77] Creating layer pool1 I1225 09:50:48.898170 1277751 net.cpp:86] Creating Layer pool1 I1225 09:50:48.898175 1277751 net.cpp:408] pool1 <- conv1 I1225 09:50:48.898182 1277751 net.cpp:382] pool1 -> pool1 I1225 09:50:48.898206 1277751 net.cpp:124] Setting up pool1 I1225 09:50:48.898211 1277751 net.cpp:131] Top shape: 50 20 12 12 (144000) I1225 09:50:48.898217 1277751 net.cpp:139] Memory required for data: 3037000 I1225 09:50:48.898222 1277751 layer_factory.hpp:77] Creating layer conv2 I1225 09:50:48.898231 1277751 net.cpp:86] Creating Layer conv2 I1225 09:50:48.898236 1277751 net.cpp:408] conv2 <- pool1 I1225 09:50:48.898242 1277751 net.cpp:382] conv2 -> conv2 I1225 09:50:48.898504 1277751 net.cpp:124] Setting up conv2 I1225 09:50:48.898512 1277751 net.cpp:131] Top shape: 50 50 8 8 (160000) I1225 09:50:48.898519 1277751 net.cpp:139] Memory required for data: 3677000 I1225 09:50:48.898527 1277751 layer_factory.hpp:77] Creating layer pool2 I1225 09:50:48.898535 1277751 net.cpp:86] Creating Layer pool2 I1225 09:50:48.898540 1277751 net.cpp:408] pool2 <- conv2 I1225 09:50:48.898550 1277751 net.cpp:382] pool2 -> pool2 I1225 09:50:48.898561 1277751 net.cpp:124] Setting up pool2 I1225 09:50:48.898564 1277751 net.cpp:131] Top shape: 50 50 4 4 (40000) I1225 09:50:48.898571 1277751 net.cpp:139] Memory required for data: 3837000 I1225 09:50:48.898576 1277751 layer_factory.hpp:77] Creating layer ip1 I1225 09:50:48.898581 1277751 net.cpp:86] Creating Layer ip1 I1225 09:50:48.898586 1277751 net.cpp:408] ip1 <- pool2 I1225 09:50:48.898592 1277751 net.cpp:382] ip1 -> ip1 I1225 09:50:48.903673 1277751 net.cpp:124] Setting up ip1 I1225 09:50:48.903714 1277751 net.cpp:131] Top shape: 50 500 (25000) I1225 09:50:48.903724 1277751 net.cpp:139] Memory required for data: 3937000 I1225 09:50:48.903744 1277751 layer_factory.hpp:77] Creating layer relu1 I1225 09:50:48.903760 1277751 net.cpp:86] Creating Layer relu1 I1225 09:50:48.903766 1277751 net.cpp:408] relu1 <- ip1 I1225 09:50:48.903776 1277751 net.cpp:369] relu1 -> ip1 (in-place) I1225 09:50:48.903806 1277751 net.cpp:124] Setting up relu1 I1225 09:50:48.903811 1277751 net.cpp:131] Top shape: 50 500 (25000) I1225 09:50:48.903816 1277751 net.cpp:139] Memory required for data: 4037000 I1225 09:50:48.903821 1277751 layer_factory.hpp:77] Creating layer ip2 I1225 09:50:48.903829 1277751 net.cpp:86] Creating Layer ip2 I1225 09:50:48.903833 1277751 net.cpp:408] ip2 <- ip1 I1225 09:50:48.903841 1277751 net.cpp:382] ip2 -> ip2 I1225 09:50:48.903911 1277751 net.cpp:124] Setting up ip2 I1225 09:50:48.903916 1277751 net.cpp:131] Top shape: 50 10 (500) I1225 09:50:48.903923 1277751 net.cpp:139] Memory required for data: 4039000 I1225 09:50:48.903929 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.903940 1277751 net.cpp:86] Creating Layer loss I1225 09:50:48.903945 1277751 net.cpp:408] loss <- ip2 I1225 09:50:48.903951 1277751 net.cpp:408] loss <- label I1225 09:50:48.903959 1277751 net.cpp:382] loss -> loss I1225 09:50:48.903971 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:48.903990 1277751 net.cpp:124] Setting up loss I1225 09:50:48.903995 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.904000 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.904021 1277751 net.cpp:139] Memory required for data: 4039004 I1225 09:50:48.904026 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:48.904032 1277751 net.cpp:200] ip2 needs backward computation. I1225 09:50:48.904037 1277751 net.cpp:200] relu1 needs backward computation. I1225 09:50:48.904042 1277751 net.cpp:200] ip1 needs backward computation. I1225 09:50:48.904047 1277751 net.cpp:200] pool2 needs backward computation. I1225 09:50:48.904052 1277751 net.cpp:200] conv2 needs backward computation. I1225 09:50:48.904057 1277751 net.cpp:200] pool1 needs backward computation. I1225 09:50:48.904062 1277751 net.cpp:200] conv1 needs backward computation. I1225 09:50:48.904068 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.904072 1277751 net.cpp:244] This network produces output loss I1225 09:50:48.904084 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.906302 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 } layer { name: "DummyData1" type: "DummyData" top: "DummyData1" top: "DummyData2" transform_param { scale: 0.00392156886 } dummy_data_param { shape { dim: 50 dim: 1 dim: 28 dim: 28 } shape { dim: 50 dim: 1 dim: 1 dim: 1 } } } layer { name: "Convolution1" type: "Convolution" bottom: "DummyData1" top: "Convolution1" convolution_param { num_output: 20 kernel_size: 5 weight_filler { type: "xavier" } } } layer { name: "Pooling1" type: "Pooling" bottom: "Convolution1" top: "Pooling1" pooling_param { pool: MAX kernel_size: 2 stride: 2 } } layer { name: "Convolution2" type: "Convolution" bottom: "Pooling1" top: "Convolution2" convolution_param { num_output: 50 kernel_size: 5 weight_filler { type: "xavier" } } } layer { name: "Pooling2" type: "Pooling" bottom: "Convolution2" top: "Pooling2" pooling_param { pool: MAX kernel_size: 2 stride: 2 } } layer { name: "InnerProduct1" type: "InnerProduct" bottom: "Pooling2" top: "InnerProduct1" inner_product_param { num_output: 500 weight_filler { type: "xavier" } } } layer { name: "ReLU1" type: "ReLU" bottom: "InnerProduct1" top: "InnerProduct1" } layer { name: "InnerProduct2" type: "InnerProduct" bottom: "InnerProduct1" top: "InnerProduct2" inner_product_param { num_output: 10 weight_filler { type: "xavier" } } } layer { name: "SoftmaxWithLoss1" type: "SoftmaxWithLoss" bottom: "InnerProduct2" bottom: "DummyData2" top: "SoftmaxWithLoss1" } I1225 09:50:48.906457 1277751 layer_factory.hpp:77] Creating layer DummyData1 I1225 09:50:48.906471 1277751 net.cpp:86] Creating Layer DummyData1 I1225 09:50:48.906479 1277751 net.cpp:382] DummyData1 -> DummyData1 I1225 09:50:48.906492 1277751 net.cpp:382] DummyData1 -> DummyData2 I1225 09:50:48.906610 1277751 net.cpp:124] Setting up DummyData1 I1225 09:50:48.906616 1277751 net.cpp:131] Top shape: 50 1 28 28 (39200) I1225 09:50:48.906626 1277751 net.cpp:131] Top shape: 50 1 1 1 (50) I1225 09:50:48.906632 1277751 net.cpp:139] Memory required for data: 157000 I1225 09:50:48.906638 1277751 layer_factory.hpp:77] Creating layer Convolution1 I1225 09:50:48.906649 1277751 net.cpp:86] Creating Layer Convolution1 I1225 09:50:48.906656 1277751 net.cpp:408] Convolution1 <- DummyData1 I1225 09:50:48.906666 1277751 net.cpp:382] Convolution1 -> Convolution1 I1225 09:50:48.906708 1277751 net.cpp:124] Setting up Convolution1 I1225 09:50:48.906713 1277751 net.cpp:131] Top shape: 50 20 24 24 (576000) I1225 09:50:48.906720 1277751 net.cpp:139] Memory required for data: 2461000 I1225 09:50:48.906731 1277751 layer_factory.hpp:77] Creating layer Pooling1 I1225 09:50:48.906742 1277751 net.cpp:86] Creating Layer Pooling1 I1225 09:50:48.906747 1277751 net.cpp:408] Pooling1 <- Convolution1 I1225 09:50:48.906755 1277751 net.cpp:382] Pooling1 -> Pooling1 I1225 09:50:48.906767 1277751 net.cpp:124] Setting up Pooling1 I1225 09:50:48.906774 1277751 net.cpp:131] Top shape: 50 20 12 12 (144000) I1225 09:50:48.906780 1277751 net.cpp:139] Memory required for data: 3037000 I1225 09:50:48.906785 1277751 layer_factory.hpp:77] Creating layer Convolution2 I1225 09:50:48.906793 1277751 net.cpp:86] Creating Layer Convolution2 I1225 09:50:48.906798 1277751 net.cpp:408] Convolution2 <- Pooling1 I1225 09:50:48.906805 1277751 net.cpp:382] Convolution2 -> Convolution2 I1225 09:50:48.907099 1277751 net.cpp:124] Setting up Convolution2 I1225 09:50:48.907105 1277751 net.cpp:131] Top shape: 50 50 8 8 (160000) I1225 09:50:48.907112 1277751 net.cpp:139] Memory required for data: 3677000 I1225 09:50:48.907120 1277751 layer_factory.hpp:77] Creating layer Pooling2 I1225 09:50:48.907128 1277751 net.cpp:86] Creating Layer Pooling2 I1225 09:50:48.907133 1277751 net.cpp:408] Pooling2 <- Convolution2 I1225 09:50:48.907140 1277751 net.cpp:382] Pooling2 -> Pooling2 I1225 09:50:48.907152 1277751 net.cpp:124] Setting up Pooling2 I1225 09:50:48.907156 1277751 net.cpp:131] Top shape: 50 50 4 4 (40000) I1225 09:50:48.907163 1277751 net.cpp:139] Memory required for data: 3837000 I1225 09:50:48.907168 1277751 layer_factory.hpp:77] Creating layer InnerProduct1 I1225 09:50:48.907176 1277751 net.cpp:86] Creating Layer InnerProduct1 I1225 09:50:48.907181 1277751 net.cpp:408] InnerProduct1 <- Pooling2 I1225 09:50:48.907187 1277751 net.cpp:382] InnerProduct1 -> InnerProduct1 I1225 09:50:48.919492 1277751 net.cpp:124] Setting up InnerProduct1 I1225 09:50:48.919543 1277751 net.cpp:131] Top shape: 50 500 (25000) I1225 09:50:48.919554 1277751 net.cpp:139] Memory required for data: 3937000 I1225 09:50:48.919574 1277751 layer_factory.hpp:77] Creating layer ReLU1 I1225 09:50:48.924530 1277751 net.cpp:86] Creating Layer ReLU1 I1225 09:50:48.924569 1277751 net.cpp:408] ReLU1 <- InnerProduct1 I1225 09:50:48.924585 1277751 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I1225 09:50:48.924605 1277751 net.cpp:124] Setting up ReLU1 I1225 09:50:48.924611 1277751 net.cpp:131] Top shape: 50 500 (25000) I1225 09:50:48.924620 1277751 net.cpp:139] Memory required for data: 4037000 I1225 09:50:48.924628 1277751 layer_factory.hpp:77] Creating layer InnerProduct2 I1225 09:50:48.924641 1277751 net.cpp:86] Creating Layer InnerProduct2 I1225 09:50:48.924649 1277751 net.cpp:408] InnerProduct2 <- InnerProduct1 I1225 09:50:48.924657 1277751 net.cpp:382] InnerProduct2 -> InnerProduct2 I1225 09:50:48.924752 1277751 net.cpp:124] Setting up InnerProduct2 I1225 09:50:48.924760 1277751 net.cpp:131] Top shape: 50 10 (500) I1225 09:50:48.924767 1277751 net.cpp:139] Memory required for data: 4039000 I1225 09:50:48.924777 1277751 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I1225 09:50:48.924791 1277751 net.cpp:86] Creating Layer SoftmaxWithLoss1 I1225 09:50:48.924798 1277751 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I1225 09:50:48.924806 1277751 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I1225 09:50:48.924814 1277751 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I1225 09:50:48.924830 1277751 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I1225 09:50:48.924851 1277751 net.cpp:124] Setting up SoftmaxWithLoss1 I1225 09:50:48.924857 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.924863 1277751 net.cpp:134] with loss weight 1 I1225 09:50:48.924885 1277751 net.cpp:139] Memory required for data: 4039004 I1225 09:50:48.924890 1277751 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I1225 09:50:48.924896 1277751 net.cpp:200] InnerProduct2 needs backward computation. I1225 09:50:48.924902 1277751 net.cpp:200] ReLU1 needs backward computation. I1225 09:50:48.924908 1277751 net.cpp:200] InnerProduct1 needs backward computation. I1225 09:50:48.924914 1277751 net.cpp:200] Pooling2 needs backward computation. I1225 09:50:48.924921 1277751 net.cpp:200] Convolution2 needs backward computation. I1225 09:50:48.924927 1277751 net.cpp:200] Pooling1 needs backward computation. I1225 09:50:48.924934 1277751 net.cpp:200] Convolution1 needs backward computation. I1225 09:50:48.924942 1277751 net.cpp:202] DummyData1 does not need backward computation. I1225 09:50:48.924947 1277751 net.cpp:244] This network produces output SoftmaxWithLoss1 I1225 09:50:48.924960 1277751 net.cpp:257] Network initialization done. ./build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_net_spec.py:87: DeprecationWarning: Please use assertRaisesRegex instead. with self.assertRaisesRegexp(TypeError, r): .I1225 09:50:48.927301 1277751 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 } layer { name: "data" type: "DummyData" top: "data" top: "data2" dummy_data_param { shape { dim: 3 } } } layer { name: "silence_data" type: "Silence" bottom: "data" } layer { name: "silence_data2" type: "Silence" bottom: "data2" } I1225 09:50:48.927369 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:48.927381 1277751 net.cpp:86] Creating Layer data I1225 09:50:48.927389 1277751 net.cpp:382] data -> data I1225 09:50:48.927402 1277751 net.cpp:382] data -> data2 I1225 09:50:48.927423 1277751 net.cpp:124] Setting up data I1225 09:50:48.927428 1277751 net.cpp:131] Top shape: 3 (3) I1225 09:50:48.927436 1277751 net.cpp:131] Top shape: 3 (3) I1225 09:50:48.927441 1277751 net.cpp:139] Memory required for data: 24 I1225 09:50:48.927446 1277751 layer_factory.hpp:77] Creating layer silence_data I1225 09:50:48.927467 1277751 net.cpp:86] Creating Layer silence_data I1225 09:50:48.927474 1277751 net.cpp:408] silence_data <- data I1225 09:50:48.927479 1277751 net.cpp:124] Setting up silence_data I1225 09:50:48.927484 1277751 net.cpp:139] Memory required for data: 24 I1225 09:50:48.927489 1277751 layer_factory.hpp:77] Creating layer silence_data2 I1225 09:50:48.927496 1277751 net.cpp:86] Creating Layer silence_data2 I1225 09:50:48.927503 1277751 net.cpp:408] silence_data2 <- data2 I1225 09:50:48.927510 1277751 net.cpp:124] Setting up silence_data2 I1225 09:50:48.927513 1277751 net.cpp:139] Memory required for data: 24 I1225 09:50:48.927517 1277751 net.cpp:202] silence_data2 does not need backward computation. I1225 09:50:48.927522 1277751 net.cpp:202] silence_data does not need backward computation. I1225 09:50:48.927527 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:48.927533 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.928126 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp4rfabalu I1225 09:50:48.928141 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.928146 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.928167 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "one" type: "Python" bottom: "data" top: "one" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "two" type: "Python" bottom: "one" top: "two" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "three" type: "Python" bottom: "two" top: "three" python_param { module: "test_python_layer" layer: "SimpleLayer" } } I1225 09:50:48.928243 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.928256 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.928262 1277751 net.cpp:382] input -> data I1225 09:50:48.928275 1277751 net.cpp:124] Setting up input I1225 09:50:48.928282 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.928287 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.928292 1277751 layer_factory.hpp:77] Creating layer one I1225 09:50:48.928334 1277751 net.cpp:86] Creating Layer one I1225 09:50:48.928341 1277751 net.cpp:408] one <- data I1225 09:50:48.928349 1277751 net.cpp:382] one -> one I1225 09:50:48.928407 1277751 net.cpp:124] Setting up one I1225 09:50:48.928414 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.928421 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.928426 1277751 layer_factory.hpp:77] Creating layer two I1225 09:50:48.928728 1277751 net.cpp:86] Creating Layer two I1225 09:50:48.928737 1277751 net.cpp:408] two <- one I1225 09:50:48.928745 1277751 net.cpp:382] two -> two I1225 09:50:48.928779 1277751 net.cpp:124] Setting up two I1225 09:50:48.928786 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.928793 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.928798 1277751 layer_factory.hpp:77] Creating layer three I1225 09:50:48.928825 1277751 net.cpp:86] Creating Layer three I1225 09:50:48.928831 1277751 net.cpp:408] three <- two I1225 09:50:48.928839 1277751 net.cpp:382] three -> three I1225 09:50:48.928879 1277751 net.cpp:124] Setting up three I1225 09:50:48.928885 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.928892 1277751 net.cpp:139] Memory required for data: 11520 I1225 09:50:48.928898 1277751 net.cpp:202] three does not need backward computation. I1225 09:50:48.928903 1277751 net.cpp:202] two does not need backward computation. I1225 09:50:48.928910 1277751 net.cpp:202] one does not need backward computation. I1225 09:50:48.928915 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.928920 1277751 net.cpp:244] This network produces output three I1225 09:50:48.928930 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.936250 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpnmupbxpz I1225 09:50:48.936281 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.936287 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.936323 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "one" type: "Python" bottom: "data" top: "one" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "two" type: "Python" bottom: "one" top: "two" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "three" type: "Python" bottom: "two" top: "three" python_param { module: "test_python_layer" layer: "SimpleLayer" } } I1225 09:50:48.944799 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.944850 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.944861 1277751 net.cpp:382] input -> data I1225 09:50:48.944890 1277751 net.cpp:124] Setting up input I1225 09:50:48.944896 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.944906 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.944912 1277751 layer_factory.hpp:77] Creating layer one I1225 09:50:48.944994 1277751 net.cpp:86] Creating Layer one I1225 09:50:48.945003 1277751 net.cpp:408] one <- data I1225 09:50:48.945010 1277751 net.cpp:382] one -> one I1225 09:50:48.945084 1277751 net.cpp:124] Setting up one I1225 09:50:48.945092 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.945098 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.945103 1277751 layer_factory.hpp:77] Creating layer two I1225 09:50:48.945127 1277751 net.cpp:86] Creating Layer two I1225 09:50:48.945132 1277751 net.cpp:408] two <- one I1225 09:50:48.945139 1277751 net.cpp:382] two -> two I1225 09:50:48.945166 1277751 net.cpp:124] Setting up two I1225 09:50:48.945173 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.945178 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.945183 1277751 layer_factory.hpp:77] Creating layer three I1225 09:50:48.945204 1277751 net.cpp:86] Creating Layer three I1225 09:50:48.945210 1277751 net.cpp:408] three <- two I1225 09:50:48.945217 1277751 net.cpp:382] three -> three I1225 09:50:48.945245 1277751 net.cpp:124] Setting up three I1225 09:50:48.945251 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.945257 1277751 net.cpp:139] Memory required for data: 11520 I1225 09:50:48.945262 1277751 net.cpp:202] three does not need backward computation. I1225 09:50:48.945268 1277751 net.cpp:202] two does not need backward computation. I1225 09:50:48.945273 1277751 net.cpp:202] one does not need backward computation. I1225 09:50:48.945278 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.945286 1277751 net.cpp:244] This network produces output three I1225 09:50:48.945294 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.945951 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmps1tngc22 I1225 09:50:48.945969 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.945976 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.945997 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TEST level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "layer" type: "Python" bottom: "data" top: "top" python_param { module: "test_python_layer" layer: "ExceptionLayer" } } I1225 09:50:48.946084 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.946095 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.946103 1277751 net.cpp:382] input -> data I1225 09:50:48.946117 1277751 net.cpp:124] Setting up input I1225 09:50:48.946123 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.946131 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.946136 1277751 layer_factory.hpp:77] Creating layer layer I1225 09:50:48.946173 1277751 net.cpp:86] Creating Layer layer I1225 09:50:48.946183 1277751 net.cpp:408] layer <- data I1225 09:50:48.946193 1277751 net.cpp:382] layer -> top .I1225 09:50:48.946864 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp7o2ucfbg I1225 09:50:48.946879 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.946884 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.946905 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "one" type: "Python" bottom: "data" top: "one" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "two" type: "Python" bottom: "one" top: "two" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "three" type: "Python" bottom: "two" top: "three" python_param { module: "test_python_layer" layer: "SimpleLayer" } } I1225 09:50:48.946990 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.947000 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.947010 1277751 net.cpp:382] input -> data I1225 09:50:48.947022 1277751 net.cpp:124] Setting up input I1225 09:50:48.947028 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.947037 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.947043 1277751 layer_factory.hpp:77] Creating layer one I1225 09:50:48.947077 1277751 net.cpp:86] Creating Layer one I1225 09:50:48.947083 1277751 net.cpp:408] one <- data I1225 09:50:48.947093 1277751 net.cpp:382] one -> one I1225 09:50:48.947142 1277751 net.cpp:124] Setting up one I1225 09:50:48.947149 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.947156 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.947161 1277751 layer_factory.hpp:77] Creating layer two I1225 09:50:48.947185 1277751 net.cpp:86] Creating Layer two I1225 09:50:48.947191 1277751 net.cpp:408] two <- one I1225 09:50:48.947199 1277751 net.cpp:382] two -> two I1225 09:50:48.947229 1277751 net.cpp:124] Setting up two I1225 09:50:48.947235 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.947242 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.947247 1277751 layer_factory.hpp:77] Creating layer three I1225 09:50:48.947269 1277751 net.cpp:86] Creating Layer three I1225 09:50:48.947275 1277751 net.cpp:408] three <- two I1225 09:50:48.947283 1277751 net.cpp:382] three -> three I1225 09:50:48.947314 1277751 net.cpp:124] Setting up three I1225 09:50:48.947321 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.947329 1277751 net.cpp:139] Memory required for data: 11520 I1225 09:50:48.947335 1277751 net.cpp:202] three does not need backward computation. I1225 09:50:48.947340 1277751 net.cpp:202] two does not need backward computation. I1225 09:50:48.947345 1277751 net.cpp:202] one does not need backward computation. I1225 09:50:48.947350 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.947356 1277751 net.cpp:244] This network produces output three I1225 09:50:48.947365 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.958822 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9v4egpr4 I1225 09:50:48.958853 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.958858 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.958894 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "one" type: "Python" bottom: "data" top: "one" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "two" type: "Python" bottom: "one" top: "two" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "three" type: "Python" bottom: "two" top: "three" python_param { module: "test_python_layer" layer: "SimpleLayer" } } I1225 09:50:48.959005 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.959020 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.959029 1277751 net.cpp:382] input -> data I1225 09:50:48.959049 1277751 net.cpp:124] Setting up input I1225 09:50:48.959056 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.959065 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.959071 1277751 layer_factory.hpp:77] Creating layer one I1225 09:50:48.959120 1277751 net.cpp:86] Creating Layer one I1225 09:50:48.959127 1277751 net.cpp:408] one <- data I1225 09:50:48.959136 1277751 net.cpp:382] one -> one I1225 09:50:48.959189 1277751 net.cpp:124] Setting up one I1225 09:50:48.959197 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.959203 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.959208 1277751 layer_factory.hpp:77] Creating layer two I1225 09:50:48.959229 1277751 net.cpp:86] Creating Layer two I1225 09:50:48.959234 1277751 net.cpp:408] two <- one I1225 09:50:48.959241 1277751 net.cpp:382] two -> two I1225 09:50:48.959273 1277751 net.cpp:124] Setting up two I1225 09:50:48.959280 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.959286 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.959291 1277751 layer_factory.hpp:77] Creating layer three I1225 09:50:48.959313 1277751 net.cpp:86] Creating Layer three I1225 09:50:48.959319 1277751 net.cpp:408] three <- two I1225 09:50:48.959326 1277751 net.cpp:382] three -> three I1225 09:50:48.959355 1277751 net.cpp:124] Setting up three I1225 09:50:48.959363 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.959368 1277751 net.cpp:139] Memory required for data: 11520 I1225 09:50:48.959374 1277751 net.cpp:202] three does not need backward computation. I1225 09:50:48.959379 1277751 net.cpp:202] two does not need backward computation. I1225 09:50:48.959385 1277751 net.cpp:202] one does not need backward computation. I1225 09:50:48.959390 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.959396 1277751 net.cpp:244] This network produces output three I1225 09:50:48.959405 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.959746 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmppix1crzr I1225 09:50:48.959759 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.959764 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.959779 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "layer" type: "Python" bottom: "data" top: "top" python_param { module: "test_python_layer" layer: "ParameterLayer" } } I1225 09:50:48.959831 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.959841 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.959847 1277751 net.cpp:382] input -> data I1225 09:50:48.959859 1277751 net.cpp:124] Setting up input I1225 09:50:48.959864 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.959872 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.959877 1277751 layer_factory.hpp:77] Creating layer layer I1225 09:50:48.959913 1277751 net.cpp:86] Creating Layer layer I1225 09:50:48.959920 1277751 net.cpp:408] layer <- data I1225 09:50:48.959928 1277751 net.cpp:382] layer -> top I1225 09:50:48.960000 1277751 net.cpp:124] Setting up layer I1225 09:50:48.960006 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.960012 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.960024 1277751 net.cpp:202] layer does not need backward computation. I1225 09:50:48.960031 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.960034 1277751 net.cpp:244] This network produces output top I1225 09:50:48.960041 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.965097 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmppix1crzr I1225 09:50:48.965134 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.965140 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.965162 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "layer" type: "Python" bottom: "data" top: "top" python_param { module: "test_python_layer" layer: "ParameterLayer" } } I1225 09:50:48.965246 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.965262 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.965271 1277751 net.cpp:382] input -> data I1225 09:50:48.965296 1277751 net.cpp:124] Setting up input I1225 09:50:48.965302 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.965310 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.965317 1277751 layer_factory.hpp:77] Creating layer layer I1225 09:50:48.965365 1277751 net.cpp:86] Creating Layer layer I1225 09:50:48.965374 1277751 net.cpp:408] layer <- data I1225 09:50:48.965384 1277751 net.cpp:382] layer -> top I1225 09:50:48.965453 1277751 net.cpp:124] Setting up layer I1225 09:50:48.965461 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.965467 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.965481 1277751 net.cpp:202] layer does not need backward computation. I1225 09:50:48.965487 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.965492 1277751 net.cpp:244] This network produces output top I1225 09:50:48.965499 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.966207 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpr47erxkr I1225 09:50:48.966220 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.966225 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.966246 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "one" type: "Python" bottom: "data" top: "one" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "two" type: "Python" bottom: "one" top: "two" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "three" type: "Python" bottom: "two" top: "three" python_param { module: "test_python_layer" layer: "SimpleLayer" } } I1225 09:50:48.966325 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.966336 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.966343 1277751 net.cpp:382] input -> data I1225 09:50:48.966356 1277751 net.cpp:124] Setting up input I1225 09:50:48.966361 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.966367 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.966372 1277751 layer_factory.hpp:77] Creating layer one I1225 09:50:48.966403 1277751 net.cpp:86] Creating Layer one I1225 09:50:48.966408 1277751 net.cpp:408] one <- data I1225 09:50:48.966416 1277751 net.cpp:382] one -> one I1225 09:50:48.966455 1277751 net.cpp:124] Setting up one I1225 09:50:48.966462 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.966468 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.966473 1277751 layer_factory.hpp:77] Creating layer two I1225 09:50:48.966495 1277751 net.cpp:86] Creating Layer two I1225 09:50:48.966503 1277751 net.cpp:408] two <- one I1225 09:50:48.966511 1277751 net.cpp:382] two -> two I1225 09:50:48.966542 1277751 net.cpp:124] Setting up two I1225 09:50:48.966549 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.966557 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.966560 1277751 layer_factory.hpp:77] Creating layer three I1225 09:50:48.966581 1277751 net.cpp:86] Creating Layer three I1225 09:50:48.966586 1277751 net.cpp:408] three <- two I1225 09:50:48.966594 1277751 net.cpp:382] three -> three I1225 09:50:48.966624 1277751 net.cpp:124] Setting up three I1225 09:50:48.966630 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.966636 1277751 net.cpp:139] Memory required for data: 11520 I1225 09:50:48.966641 1277751 net.cpp:202] three does not need backward computation. I1225 09:50:48.966646 1277751 net.cpp:202] two does not need backward computation. I1225 09:50:48.966651 1277751 net.cpp:202] one does not need backward computation. I1225 09:50:48.966655 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.966660 1277751 net.cpp:244] This network produces output three I1225 09:50:48.966668 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.966984 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "layer" type: "Python" top: "phase" python_param { module: "test_python_layer" layer: "PhaseLayer" } } I1225 09:50:48.967026 1277751 layer_factory.hpp:77] Creating layer layer I1225 09:50:48.967061 1277751 net.cpp:86] Creating Layer layer I1225 09:50:48.967069 1277751 net.cpp:382] layer -> phase I1225 09:50:48.967114 1277751 net.cpp:124] Setting up layer I1225 09:50:48.967123 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.967129 1277751 net.cpp:139] Memory required for data: 4 I1225 09:50:48.967135 1277751 net.cpp:202] layer does not need backward computation. I1225 09:50:48.967140 1277751 net.cpp:244] This network produces output phase I1225 09:50:48.967147 1277751 net.cpp:257] Network initialization done. I1225 09:50:48.967427 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TEST level: 0 } layer { name: "layer" type: "Python" top: "phase" python_param { module: "test_python_layer" layer: "PhaseLayer" } } I1225 09:50:48.967468 1277751 layer_factory.hpp:77] Creating layer layer I1225 09:50:48.967499 1277751 net.cpp:86] Creating Layer layer I1225 09:50:48.967509 1277751 net.cpp:382] layer -> phase I1225 09:50:48.967535 1277751 net.cpp:124] Setting up layer I1225 09:50:48.967541 1277751 net.cpp:131] Top shape: (1) I1225 09:50:48.967550 1277751 net.cpp:139] Memory required for data: 4 I1225 09:50:48.967555 1277751 net.cpp:202] layer does not need backward computation. I1225 09:50:48.967561 1277751 net.cpp:244] This network produces output phase I1225 09:50:48.967567 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.968173 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpuf2sxmwo I1225 09:50:48.968191 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.968196 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.968220 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "one" type: "Python" bottom: "data" top: "one" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "two" type: "Python" bottom: "one" top: "two" python_param { module: "test_python_layer" layer: "SimpleLayer" } } layer { name: "three" type: "Python" bottom: "two" top: "three" python_param { module: "test_python_layer" layer: "SimpleLayer" } } I1225 09:50:48.968312 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.968324 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.968333 1277751 net.cpp:382] input -> data I1225 09:50:48.968349 1277751 net.cpp:124] Setting up input I1225 09:50:48.968355 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.968361 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.968367 1277751 layer_factory.hpp:77] Creating layer one I1225 09:50:48.968398 1277751 net.cpp:86] Creating Layer one I1225 09:50:48.968406 1277751 net.cpp:408] one <- data I1225 09:50:48.968415 1277751 net.cpp:382] one -> one I1225 09:50:48.972671 1277751 net.cpp:124] Setting up one I1225 09:50:48.972716 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.972729 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.972738 1277751 layer_factory.hpp:77] Creating layer two I1225 09:50:48.972807 1277751 net.cpp:86] Creating Layer two I1225 09:50:48.972826 1277751 net.cpp:408] two <- one I1225 09:50:48.972838 1277751 net.cpp:382] two -> two I1225 09:50:48.972884 1277751 net.cpp:124] Setting up two I1225 09:50:48.972891 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.972898 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.972903 1277751 layer_factory.hpp:77] Creating layer three I1225 09:50:48.972929 1277751 net.cpp:86] Creating Layer three I1225 09:50:48.972936 1277751 net.cpp:408] three <- two I1225 09:50:48.972944 1277751 net.cpp:382] three -> three I1225 09:50:48.972980 1277751 net.cpp:124] Setting up three I1225 09:50:48.972987 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.972995 1277751 net.cpp:139] Memory required for data: 11520 I1225 09:50:48.972999 1277751 net.cpp:202] three does not need backward computation. I1225 09:50:48.973006 1277751 net.cpp:202] two does not need backward computation. I1225 09:50:48.973013 1277751 net.cpp:202] one does not need backward computation. I1225 09:50:48.973021 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.973027 1277751 net.cpp:244] This network produces output three I1225 09:50:48.973038 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.974298 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpv2vup46h I1225 09:50:48.974318 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.974326 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.974354 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "mul10" type: "Python" bottom: "data" top: "mul10" python_param { module: "test_python_layer_with_param_str" layer: "SimpleParamLayer" param_str: "10" } } layer { name: "mul2" type: "Python" bottom: "mul10" top: "mul2" python_param { module: "test_python_layer_with_param_str" layer: "SimpleParamLayer" param_str: "2" } } I1225 09:50:48.974462 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.974475 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.974483 1277751 net.cpp:382] input -> data I1225 09:50:48.974499 1277751 net.cpp:124] Setting up input I1225 09:50:48.974505 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.974514 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.974519 1277751 layer_factory.hpp:77] Creating layer mul10 I1225 09:50:48.974565 1277751 net.cpp:86] Creating Layer mul10 I1225 09:50:48.974572 1277751 net.cpp:408] mul10 <- data I1225 09:50:48.974581 1277751 net.cpp:382] mul10 -> mul10 I1225 09:50:48.974637 1277751 net.cpp:124] Setting up mul10 I1225 09:50:48.974644 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.974651 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.974658 1277751 layer_factory.hpp:77] Creating layer mul2 I1225 09:50:48.974684 1277751 net.cpp:86] Creating Layer mul2 I1225 09:50:48.974691 1277751 net.cpp:408] mul2 <- mul10 I1225 09:50:48.974699 1277751 net.cpp:382] mul2 -> mul2 I1225 09:50:48.974735 1277751 net.cpp:124] Setting up mul2 I1225 09:50:48.974742 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.974750 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.974756 1277751 net.cpp:202] mul2 does not need backward computation. I1225 09:50:48.974761 1277751 net.cpp:202] mul10 does not need backward computation. I1225 09:50:48.974771 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.974776 1277751 net.cpp:244] This network produces output mul2 I1225 09:50:48.974784 1277751 net.cpp:257] Network initialization done. .I1225 09:50:48.985590 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpsiqn691v I1225 09:50:48.985620 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1225 09:50:48.985626 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1225 09:50:48.985663 1277751 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { phase: TRAIN level: 0 } layer { name: "input" type: "Input" top: "data" input_param { shape { dim: 10 dim: 9 dim: 8 } } } layer { name: "mul10" type: "Python" bottom: "data" top: "mul10" python_param { module: "test_python_layer_with_param_str" layer: "SimpleParamLayer" param_str: "10" } } layer { name: "mul2" type: "Python" bottom: "mul10" top: "mul2" python_param { module: "test_python_layer_with_param_str" layer: "SimpleParamLayer" param_str: "2" } } I1225 09:50:48.985769 1277751 layer_factory.hpp:77] Creating layer input I1225 09:50:48.985783 1277751 net.cpp:86] Creating Layer input I1225 09:50:48.985795 1277751 net.cpp:382] input -> data I1225 09:50:48.985814 1277751 net.cpp:124] Setting up input I1225 09:50:48.985821 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.985831 1277751 net.cpp:139] Memory required for data: 2880 I1225 09:50:48.985837 1277751 layer_factory.hpp:77] Creating layer mul10 I1225 09:50:48.985888 1277751 net.cpp:86] Creating Layer mul10 I1225 09:50:48.985899 1277751 net.cpp:408] mul10 <- data I1225 09:50:48.985908 1277751 net.cpp:382] mul10 -> mul10 I1225 09:50:48.985971 1277751 net.cpp:124] Setting up mul10 I1225 09:50:48.985980 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.985986 1277751 net.cpp:139] Memory required for data: 5760 I1225 09:50:48.985992 1277751 layer_factory.hpp:77] Creating layer mul2 I1225 09:50:48.986016 1277751 net.cpp:86] Creating Layer mul2 I1225 09:50:48.986023 1277751 net.cpp:408] mul2 <- mul10 I1225 09:50:48.986032 1277751 net.cpp:382] mul2 -> mul2 I1225 09:50:48.986064 1277751 net.cpp:124] Setting up mul2 I1225 09:50:48.986070 1277751 net.cpp:131] Top shape: 10 9 8 (720) I1225 09:50:48.986078 1277751 net.cpp:139] Memory required for data: 8640 I1225 09:50:48.986083 1277751 net.cpp:202] mul2 does not need backward computation. I1225 09:50:48.986088 1277751 net.cpp:202] mul10 does not need backward computation. I1225 09:50:48.986093 1277751 net.cpp:202] input does not need backward computation. I1225 09:50:48.986099 1277751 net.cpp:244] This network produces output mul2 I1225 09:50:48.986107 1277751 net.cpp:257] Network initialization done. .I1225 09:50:49.001173 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmpxj54s42q" snapshot_after_train: false I1225 09:50:49.001281 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpxj54s42q I1225 09:50:49.001485 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.001637 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.001657 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.001667 1277751 net.cpp:382] data -> data I1225 09:50:49.001684 1277751 net.cpp:382] data -> label I1225 09:50:49.001708 1277751 net.cpp:124] Setting up data I1225 09:50:49.001714 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.001724 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.001731 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.001740 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.001754 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.001760 1277751 net.cpp:408] conv <- data I1225 09:50:49.001775 1277751 net.cpp:382] conv -> conv I1225 09:50:49.001821 1277751 net.cpp:124] Setting up conv I1225 09:50:49.001828 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.001835 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.001849 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.001860 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.001866 1277751 net.cpp:408] ip <- conv I1225 09:50:49.001875 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.002115 1277751 net.cpp:124] Setting up ip I1225 09:50:49.002125 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.002131 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.002141 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.002151 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.002157 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.002166 1277751 net.cpp:408] loss <- label I1225 09:50:49.002173 1277751 net.cpp:382] loss -> loss I1225 09:50:49.002187 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.002205 1277751 net.cpp:124] Setting up loss I1225 09:50:49.002211 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.002218 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.002230 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.002236 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.002243 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.002249 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.002254 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.002260 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.002270 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.002431 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxj54s42q I1225 09:50:49.002463 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.002586 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.002599 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.002607 1277751 net.cpp:382] data -> data I1225 09:50:49.002619 1277751 net.cpp:382] data -> label I1225 09:50:49.002632 1277751 net.cpp:124] Setting up data I1225 09:50:49.002638 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.002646 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.002653 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.002658 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.002671 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.002676 1277751 net.cpp:408] conv <- data I1225 09:50:49.002684 1277751 net.cpp:382] conv -> conv I1225 09:50:49.002712 1277751 net.cpp:124] Setting up conv I1225 09:50:49.002719 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.002725 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.002734 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.002743 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.002749 1277751 net.cpp:408] ip <- conv I1225 09:50:49.002758 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.002938 1277751 net.cpp:124] Setting up ip I1225 09:50:49.002945 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.002952 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.002964 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.002971 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.002977 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.002983 1277751 net.cpp:408] loss <- label I1225 09:50:49.002993 1277751 net.cpp:382] loss -> loss I1225 09:50:49.003005 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.003022 1277751 net.cpp:124] Setting up loss I1225 09:50:49.003028 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.003034 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.003043 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.003049 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.003055 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.003062 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.003067 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.003072 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.003082 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.003104 1277751 solver.cpp:57] Solver scaffolding done. I1225 09:50:49.003237 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmpxj54s42q" snapshot_after_train: false I1225 09:50:49.003286 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpxj54s42q I1225 09:50:49.003424 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.003530 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.003543 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.003553 1277751 net.cpp:382] data -> data I1225 09:50:49.003563 1277751 net.cpp:382] data -> label I1225 09:50:49.003576 1277751 net.cpp:124] Setting up data I1225 09:50:49.003582 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.003589 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.003595 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.003599 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.003610 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.003615 1277751 net.cpp:408] conv <- data I1225 09:50:49.003623 1277751 net.cpp:382] conv -> conv I1225 09:50:49.003652 1277751 net.cpp:124] Setting up conv I1225 09:50:49.003659 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.003664 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.003674 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.003684 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.003690 1277751 net.cpp:408] ip <- conv I1225 09:50:49.003696 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.003854 1277751 net.cpp:124] Setting up ip I1225 09:50:49.003860 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.003866 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.003875 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.003886 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.003891 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.003896 1277751 net.cpp:408] loss <- label I1225 09:50:49.003903 1277751 net.cpp:382] loss -> loss I1225 09:50:49.003916 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.003931 1277751 net.cpp:124] Setting up loss I1225 09:50:49.003937 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.003942 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.003952 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.003955 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.003962 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.003966 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.003973 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.003976 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.003984 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.004123 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxj54s42q I1225 09:50:49.004146 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.004252 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.004262 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.004269 1277751 net.cpp:382] data -> data I1225 09:50:49.004282 1277751 net.cpp:382] data -> label I1225 09:50:49.004293 1277751 net.cpp:124] Setting up data I1225 09:50:49.004299 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.004305 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.004312 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.004316 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.004328 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.004333 1277751 net.cpp:408] conv <- data I1225 09:50:49.004341 1277751 net.cpp:382] conv -> conv I1225 09:50:49.004366 1277751 net.cpp:124] Setting up conv I1225 09:50:49.004371 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.004379 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.004387 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.004400 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.004405 1277751 net.cpp:408] ip <- conv I1225 09:50:49.004412 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.008736 1277751 net.cpp:124] Setting up ip I1225 09:50:49.008780 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.008792 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.008810 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.008831 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.008841 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.008849 1277751 net.cpp:408] loss <- label I1225 09:50:49.008858 1277751 net.cpp:382] loss -> loss I1225 09:50:49.008877 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.008895 1277751 net.cpp:124] Setting up loss I1225 09:50:49.008899 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.008904 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.008924 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.008926 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.008937 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.008941 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.008947 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.008951 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.008960 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.009001 1277751 solver.cpp:57] Solver scaffolding done. I1225 09:50:49.009815 1277751 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I1225 09:50:49.010777 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmpdg6zf4ku" snapshot_after_train: false I1225 09:50:49.010849 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpdg6zf4ku I1225 09:50:49.011026 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.011152 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.011169 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.011178 1277751 net.cpp:382] data -> data I1225 09:50:49.011193 1277751 net.cpp:382] data -> label I1225 09:50:49.011211 1277751 net.cpp:124] Setting up data I1225 09:50:49.011217 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.011224 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.011231 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.011236 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.011248 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.011253 1277751 net.cpp:408] conv <- data I1225 09:50:49.011265 1277751 net.cpp:382] conv -> conv I1225 09:50:49.011301 1277751 net.cpp:124] Setting up conv I1225 09:50:49.011305 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.011312 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.011322 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.011332 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.011337 1277751 net.cpp:408] ip <- conv I1225 09:50:49.011349 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.011507 1277751 net.cpp:124] Setting up ip I1225 09:50:49.011514 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.011520 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.011528 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.011538 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.011543 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.011550 1277751 net.cpp:408] loss <- label I1225 09:50:49.011559 1277751 net.cpp:382] loss -> loss I1225 09:50:49.011570 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.011587 1277751 net.cpp:124] Setting up loss I1225 09:50:49.011595 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.011600 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.011610 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.011615 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.011620 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.011626 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.011631 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.011637 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.011646 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.011802 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpdg6zf4ku I1225 09:50:49.011826 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.011947 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.011960 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.012049 1277751 net.cpp:382] data -> data I1225 09:50:49.012063 1277751 net.cpp:382] data -> label I1225 09:50:49.012076 1277751 net.cpp:124] Setting up data I1225 09:50:49.012082 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.012089 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.012096 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.012101 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.012115 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.012120 1277751 net.cpp:408] conv <- data I1225 09:50:49.012130 1277751 net.cpp:382] conv -> conv I1225 09:50:49.012161 1277751 net.cpp:124] Setting up conv I1225 09:50:49.012168 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.012176 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.012188 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.012197 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.012202 1277751 net.cpp:408] ip <- conv I1225 09:50:49.012212 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.012395 1277751 net.cpp:124] Setting up ip I1225 09:50:49.012404 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.012411 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.012421 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.012470 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.012475 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.012482 1277751 net.cpp:408] loss <- label I1225 09:50:49.012490 1277751 net.cpp:382] loss -> loss I1225 09:50:49.012502 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.012521 1277751 net.cpp:124] Setting up loss I1225 09:50:49.012526 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.012532 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.012542 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.012547 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.012553 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.012558 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.012564 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.012570 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.012581 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.012615 1277751 solver.cpp:57] Solver scaffolding done. I1225 09:50:49.020829 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmpdg6zf4ku" snapshot_after_train: false I1225 09:50:49.020946 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpdg6zf4ku I1225 09:50:49.021128 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.021241 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.021257 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.021266 1277751 net.cpp:382] data -> data I1225 09:50:49.021282 1277751 net.cpp:382] data -> label I1225 09:50:49.021298 1277751 net.cpp:124] Setting up data I1225 09:50:49.021303 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.021312 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.021318 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.021322 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.021334 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.021340 1277751 net.cpp:408] conv <- data I1225 09:50:49.021349 1277751 net.cpp:382] conv -> conv I1225 09:50:49.021382 1277751 net.cpp:124] Setting up conv I1225 09:50:49.021387 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.021392 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.021404 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.021412 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.021416 1277751 net.cpp:408] ip <- conv I1225 09:50:49.021426 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.021590 1277751 net.cpp:124] Setting up ip I1225 09:50:49.021595 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.021600 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.021606 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.021616 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.021622 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.021627 1277751 net.cpp:408] loss <- label I1225 09:50:49.021633 1277751 net.cpp:382] loss -> loss I1225 09:50:49.021642 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.021659 1277751 net.cpp:124] Setting up loss I1225 09:50:49.021663 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.021668 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.021677 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.021682 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.021687 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.021692 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.021697 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.021701 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.021713 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.021826 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpdg6zf4ku I1225 09:50:49.021845 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.021939 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.021947 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.021955 1277751 net.cpp:382] data -> data I1225 09:50:49.021965 1277751 net.cpp:382] data -> label I1225 09:50:49.022059 1277751 net.cpp:124] Setting up data I1225 09:50:49.022064 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.022070 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.022075 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.022079 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.022090 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.022094 1277751 net.cpp:408] conv <- data I1225 09:50:49.022101 1277751 net.cpp:382] conv -> conv I1225 09:50:49.022122 1277751 net.cpp:124] Setting up conv I1225 09:50:49.022127 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.022132 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.022140 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.022148 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.022152 1277751 net.cpp:408] ip <- conv I1225 09:50:49.022161 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.022320 1277751 net.cpp:124] Setting up ip I1225 09:50:49.022325 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.022329 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.022336 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.022342 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.022346 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.022351 1277751 net.cpp:408] loss <- label I1225 09:50:49.022356 1277751 net.cpp:382] loss -> loss I1225 09:50:49.022363 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.022375 1277751 net.cpp:124] Setting up loss I1225 09:50:49.022379 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.022383 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.022390 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.022394 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.022398 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.022403 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.022406 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.022410 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.022418 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.022433 1277751 solver.cpp:57] Solver scaffolding done. .I1225 09:50:49.025104 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmp9aly7jq8" snapshot_after_train: false I1225 09:50:49.025194 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmp9aly7jq8 I1225 09:50:49.025364 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.025487 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.025501 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.025511 1277751 net.cpp:382] data -> data I1225 09:50:49.025527 1277751 net.cpp:382] data -> label I1225 09:50:49.025544 1277751 net.cpp:124] Setting up data I1225 09:50:49.025550 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.025559 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.025565 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.025580 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.025590 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.025595 1277751 net.cpp:408] conv <- data I1225 09:50:49.025604 1277751 net.cpp:382] conv -> conv I1225 09:50:49.025635 1277751 net.cpp:124] Setting up conv I1225 09:50:49.025640 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.025645 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.025655 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.025663 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.025668 1277751 net.cpp:408] ip <- conv I1225 09:50:49.025676 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.025835 1277751 net.cpp:124] Setting up ip I1225 09:50:49.025840 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.025844 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.025851 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.025858 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.025863 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.025868 1277751 net.cpp:408] loss <- label I1225 09:50:49.025875 1277751 net.cpp:382] loss -> loss I1225 09:50:49.025884 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.025902 1277751 net.cpp:124] Setting up loss I1225 09:50:49.025905 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.025910 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.025920 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.025924 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.025929 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.025934 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.025939 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.025943 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.025950 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.026064 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp9aly7jq8 I1225 09:50:49.026085 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.026173 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.026182 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.026190 1277751 net.cpp:382] data -> data I1225 09:50:49.026198 1277751 net.cpp:382] data -> label I1225 09:50:49.026207 1277751 net.cpp:124] Setting up data I1225 09:50:49.026212 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.026217 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.026223 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.026227 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.026237 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.026240 1277751 net.cpp:408] conv <- data I1225 09:50:49.026247 1277751 net.cpp:382] conv -> conv I1225 09:50:49.026269 1277751 net.cpp:124] Setting up conv I1225 09:50:49.026274 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.026279 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.026288 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.026295 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.026299 1277751 net.cpp:408] ip <- conv I1225 09:50:49.026306 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.026461 1277751 net.cpp:124] Setting up ip I1225 09:50:49.026466 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.026471 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.026479 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.026484 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.026489 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.026494 1277751 net.cpp:408] loss <- label I1225 09:50:49.026499 1277751 net.cpp:382] loss -> loss I1225 09:50:49.026507 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.026520 1277751 net.cpp:124] Setting up loss I1225 09:50:49.026525 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.026528 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.026535 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.026538 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.026543 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.026547 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.026552 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.026556 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.026563 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.026578 1277751 solver.cpp:57] Solver scaffolding done. I1225 09:50:49.026654 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmp9aly7jq8" snapshot_after_train: false I1225 09:50:49.026686 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmp9aly7jq8 I1225 09:50:49.026787 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.026880 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.026888 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.026896 1277751 net.cpp:382] data -> data I1225 09:50:49.026904 1277751 net.cpp:382] data -> label I1225 09:50:49.026916 1277751 net.cpp:124] Setting up data I1225 09:50:49.026922 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.026928 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.026939 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.026944 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.026954 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.026958 1277751 net.cpp:408] conv <- data I1225 09:50:49.026965 1277751 net.cpp:382] conv -> conv I1225 09:50:49.026989 1277751 net.cpp:124] Setting up conv I1225 09:50:49.026993 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.026998 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.027007 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.027015 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.027021 1277751 net.cpp:408] ip <- conv I1225 09:50:49.027027 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.027184 1277751 net.cpp:124] Setting up ip I1225 09:50:49.027187 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.027194 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.027201 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.027209 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.027212 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.027217 1277751 net.cpp:408] loss <- label I1225 09:50:49.027223 1277751 net.cpp:382] loss -> loss I1225 09:50:49.027231 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.027243 1277751 net.cpp:124] Setting up loss I1225 09:50:49.027248 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.027252 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.027259 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.027263 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.027268 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.027272 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.027277 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.027282 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.027290 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.027400 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp9aly7jq8 I1225 09:50:49.027420 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.027505 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.027514 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.027521 1277751 net.cpp:382] data -> data I1225 09:50:49.027529 1277751 net.cpp:382] data -> label I1225 09:50:49.027541 1277751 net.cpp:124] Setting up data I1225 09:50:49.027545 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.027551 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.027556 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.027560 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.027570 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.027573 1277751 net.cpp:408] conv <- data I1225 09:50:49.027580 1277751 net.cpp:382] conv -> conv I1225 09:50:49.027601 1277751 net.cpp:124] Setting up conv I1225 09:50:49.027606 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.027611 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.027621 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.027628 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.027632 1277751 net.cpp:408] ip <- conv I1225 09:50:49.027638 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.027799 1277751 net.cpp:124] Setting up ip I1225 09:50:49.027804 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.027809 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.027817 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.027823 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.027827 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.027832 1277751 net.cpp:408] loss <- label I1225 09:50:49.027838 1277751 net.cpp:382] loss -> loss I1225 09:50:49.027845 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.027858 1277751 net.cpp:124] Setting up loss I1225 09:50:49.027863 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.027868 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.027874 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.027879 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.027884 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.027889 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.027894 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.027899 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.027905 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.027921 1277751 solver.cpp:57] Solver scaffolding done. I1225 09:50:49.028919 1277751 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I1225 09:50:49.029246 1277751 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I1225 09:50:49.030170 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmpf6yr4st_" snapshot_after_train: false I1225 09:50:49.030242 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpf6yr4st_ I1225 09:50:49.030419 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.030555 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.030570 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.030580 1277751 net.cpp:382] data -> data I1225 09:50:49.030596 1277751 net.cpp:382] data -> label I1225 09:50:49.030620 1277751 net.cpp:124] Setting up data I1225 09:50:49.030627 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.030637 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.030647 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.030651 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.030664 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.030670 1277751 net.cpp:408] conv <- data I1225 09:50:49.030680 1277751 net.cpp:382] conv -> conv I1225 09:50:49.030717 1277751 net.cpp:124] Setting up conv I1225 09:50:49.030727 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.030733 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.030747 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.030761 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.030766 1277751 net.cpp:408] ip <- conv I1225 09:50:49.030776 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.030954 1277751 net.cpp:124] Setting up ip I1225 09:50:49.030961 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.030966 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.030975 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.030983 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.030988 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.030994 1277751 net.cpp:408] loss <- label I1225 09:50:49.031002 1277751 net.cpp:382] loss -> loss I1225 09:50:49.031011 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.031028 1277751 net.cpp:124] Setting up loss I1225 09:50:49.031033 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.031038 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.031050 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.031054 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.031059 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.031064 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.031069 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.031077 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.031086 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.031214 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf6yr4st_ I1225 09:50:49.031234 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.031337 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.031348 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.031358 1277751 net.cpp:382] data -> data I1225 09:50:49.031368 1277751 net.cpp:382] data -> label I1225 09:50:49.031380 1277751 net.cpp:124] Setting up data I1225 09:50:49.031386 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.031394 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.031399 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.031404 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.031414 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.031419 1277751 net.cpp:408] conv <- data I1225 09:50:49.031425 1277751 net.cpp:382] conv -> conv I1225 09:50:49.031450 1277751 net.cpp:124] Setting up conv I1225 09:50:49.031455 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.031461 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.031469 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.031476 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.031481 1277751 net.cpp:408] ip <- conv I1225 09:50:49.031487 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.031646 1277751 net.cpp:124] Setting up ip I1225 09:50:49.031651 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.031657 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.031666 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.031672 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.031677 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.031683 1277751 net.cpp:408] loss <- label I1225 09:50:49.031689 1277751 net.cpp:382] loss -> loss I1225 09:50:49.031698 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.031713 1277751 net.cpp:124] Setting up loss I1225 09:50:49.031719 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.031724 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.031733 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.031738 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.031742 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.031746 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.031752 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.031757 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.031766 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.031783 1277751 solver.cpp:57] Solver scaffolding done. I1225 09:50:49.031872 1277751 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 display: 100 max_iter: 100 lr_policy: "inv" gamma: 0.0001 power: 0.75 momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" net: "/tmp/tmpf6yr4st_" snapshot_after_train: false I1225 09:50:49.031909 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpf6yr4st_ I1225 09:50:49.032124 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TRAIN } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.032225 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.032238 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.032245 1277751 net.cpp:382] data -> data I1225 09:50:49.032255 1277751 net.cpp:382] data -> label I1225 09:50:49.032266 1277751 net.cpp:124] Setting up data I1225 09:50:49.032272 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.032279 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.032284 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.032289 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.032299 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.032305 1277751 net.cpp:408] conv <- data I1225 09:50:49.032312 1277751 net.cpp:382] conv -> conv I1225 09:50:49.032337 1277751 net.cpp:124] Setting up conv I1225 09:50:49.032343 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.032349 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.032359 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.032367 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.032372 1277751 net.cpp:408] ip <- conv I1225 09:50:49.032380 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.036708 1277751 net.cpp:124] Setting up ip I1225 09:50:49.036761 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.036774 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.036798 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.036818 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.036825 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.036834 1277751 net.cpp:408] loss <- label I1225 09:50:49.036844 1277751 net.cpp:382] loss -> loss I1225 09:50:49.036867 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.036886 1277751 net.cpp:124] Setting up loss I1225 09:50:49.036890 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.036895 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.036916 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.036924 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.036933 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.036937 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.036944 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.036949 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.036960 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.037226 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf6yr4st_ I1225 09:50:49.037257 1277751 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { phase: TEST } layer { name: "data" type: "DummyData" top: "data" top: "label" dummy_data_param { data_filler { type: "gaussian" std: 1 } data_filler { type: "constant" } num: 5 num: 5 channels: 2 channels: 1 height: 3 height: 1 width: 4 width: 1 } } layer { name: "conv" type: "Convolution" bottom: "data" top: "conv" param { decay_mult: 1 } param { decay_mult: 0 } convolution_param { num_output: 11 pad: 3 kernel_size: 2 weight_filler { type: "gaussian" std: 1 } bias_filler { type: "constant" value: 2 } } } layer { name: "ip" type: "InnerProduct" bottom: "conv" top: "ip_blob" inner_product_param { num_output: 13 weight_filler { type: "gaussian" std: 2.5 } bias_filler { type: "constant" value: -3 } } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip_blob" bottom: "label" top: "loss" } I1225 09:50:49.037431 1277751 layer_factory.hpp:77] Creating layer data I1225 09:50:49.037441 1277751 net.cpp:86] Creating Layer data I1225 09:50:49.037449 1277751 net.cpp:382] data -> data I1225 09:50:49.037459 1277751 net.cpp:382] data -> label I1225 09:50:49.037472 1277751 net.cpp:124] Setting up data I1225 09:50:49.037477 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) I1225 09:50:49.037483 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) I1225 09:50:49.037488 1277751 net.cpp:139] Memory required for data: 500 I1225 09:50:49.037493 1277751 layer_factory.hpp:77] Creating layer conv I1225 09:50:49.037505 1277751 net.cpp:86] Creating Layer conv I1225 09:50:49.037509 1277751 net.cpp:408] conv <- data I1225 09:50:49.037516 1277751 net.cpp:382] conv -> conv I1225 09:50:49.037545 1277751 net.cpp:124] Setting up conv I1225 09:50:49.037550 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) I1225 09:50:49.037555 1277751 net.cpp:139] Memory required for data: 16340 I1225 09:50:49.037564 1277751 layer_factory.hpp:77] Creating layer ip I1225 09:50:49.037572 1277751 net.cpp:86] Creating Layer ip I1225 09:50:49.037577 1277751 net.cpp:408] ip <- conv I1225 09:50:49.037583 1277751 net.cpp:382] ip -> ip_blob I1225 09:50:49.037758 1277751 net.cpp:124] Setting up ip I1225 09:50:49.037763 1277751 net.cpp:131] Top shape: 5 13 (65) I1225 09:50:49.037768 1277751 net.cpp:139] Memory required for data: 16600 I1225 09:50:49.037775 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.037782 1277751 net.cpp:86] Creating Layer loss I1225 09:50:49.037787 1277751 net.cpp:408] loss <- ip_blob I1225 09:50:49.037801 1277751 net.cpp:408] loss <- label I1225 09:50:49.037806 1277751 net.cpp:382] loss -> loss I1225 09:50:49.037815 1277751 layer_factory.hpp:77] Creating layer loss I1225 09:50:49.037829 1277751 net.cpp:124] Setting up loss I1225 09:50:49.037834 1277751 net.cpp:131] Top shape: (1) I1225 09:50:49.037839 1277751 net.cpp:134] with loss weight 1 I1225 09:50:49.037847 1277751 net.cpp:139] Memory required for data: 16604 I1225 09:50:49.037851 1277751 net.cpp:200] loss needs backward computation. I1225 09:50:49.037856 1277751 net.cpp:200] ip needs backward computation. I1225 09:50:49.037860 1277751 net.cpp:200] conv needs backward computation. I1225 09:50:49.037865 1277751 net.cpp:202] data does not need backward computation. I1225 09:50:49.037870 1277751 net.cpp:244] This network produces output loss I1225 09:50:49.037878 1277751 net.cpp:257] Network initialization done. I1225 09:50:49.037896 1277751 solver.cpp:57] Solver scaffolding done. I1225 09:50:49.038604 1277751 solver.cpp:289] Solving testnet I1225 09:50:49.038612 1277751 solver.cpp:290] Learning Rate Policy: inv I1225 09:50:49.038650 1277751 solver.cpp:347] Iteration 0, Testing net (#0) I1225 09:50:49.040346 1277751 solver.cpp:414] Test net output #0: loss = 84.0942 (* 1 = 84.0942 loss) I1225 09:50:49.045255 1277751 solver.cpp:239] Iteration 0 (0 iter/s, 0.006s/100 iters), loss = 87.3365 I1225 09:50:49.045337 1277751 solver.cpp:258] Train net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1225 09:50:49.045351 1277751 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I1225 09:50:49.076655 1277751 solver.cpp:347] Iteration 10, Testing net (#0) I1225 09:50:49.078409 1277751 solver.cpp:414] Test net output #0: loss = 60.6129 (* 1 = 60.6129 loss) I1225 09:50:49.106402 1277751 solver.cpp:347] Iteration 20, Testing net (#0) I1225 09:50:49.108256 1277751 solver.cpp:414] Test net output #0: loss = 81.4873 (* 1 = 81.4873 loss) I1225 09:50:49.134114 1277751 solver.cpp:347] Iteration 30, Testing net (#0) I1225 09:50:49.136044 1277751 solver.cpp:414] Test net output #0: loss = 64.5976 (* 1 = 64.5976 loss) I1225 09:50:49.171895 1277751 solver.cpp:347] Iteration 40, Testing net (#0) I1225 09:50:49.177922 1277751 solver.cpp:414] Test net output #0: loss = 69.4453 (* 1 = 69.4453 loss) I1225 09:50:49.196805 1277751 solver.cpp:347] Iteration 50, Testing net (#0) I1225 09:50:49.198650 1277751 solver.cpp:414] Test net output #0: loss = 59.1686 (* 1 = 59.1686 loss) I1225 09:50:49.214850 1277751 solver.cpp:347] Iteration 60, Testing net (#0) I1225 09:50:49.216758 1277751 solver.cpp:414] Test net output #0: loss = 83.8289 (* 1 = 83.8289 loss) I1225 09:50:49.244357 1277751 solver.cpp:347] Iteration 70, Testing net (#0) I1225 09:50:49.246287 1277751 solver.cpp:414] Test net output #0: loss = 72.1499 (* 1 = 72.1499 loss) I1225 09:50:49.275107 1277751 solver.cpp:347] Iteration 80, Testing net (#0) I1225 09:50:49.281487 1277751 solver.cpp:414] Test net output #0: loss = 69.2196 (* 1 = 69.2196 loss) I1225 09:50:49.302642 1277751 solver.cpp:347] Iteration 90, Testing net (#0) I1225 09:50:49.310158 1277751 solver.cpp:414] Test net output #0: loss = 78.2858 (* 1 = 78.2858 loss) I1225 09:50:49.337450 1277751 solver.cpp:327] Iteration 100, loss = 48.4664 I1225 09:50:49.337512 1277751 solver.cpp:347] Iteration 100, Testing net (#0) I1225 09:50:49.339396 1277751 solver.cpp:414] Test net output #0: loss = 71.1512 (* 1 = 71.1512 loss) I1225 09:50:49.339413 1277751 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 32.597s OK make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pytest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' create-stamp debian/debhelper-build-stamp fakeroot debian/rules binary dh binary -Scmake --with python3,bash-completion dh_testroot -O-Scmake dh_prep -O-Scmake debian/rules override_dh_auto_install-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install cd caffe_cpu_build && make -j15 install DESTDIR=/build/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 preinstall make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[3]: Nothing to be done for 'preinstall'. make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Install the project... /usr/bin/cmake -P cmake_install.cmake -- Install configuration: "Release" -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeConfig.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/upgrade_proto.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/signal_handler.h -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/rng.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/nccl.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/mkl_alternate.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/math_functions.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/io.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/insert_splits.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/im2col.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/hdf5.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/gpu_util.cuh -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/format.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/device_alternate.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_lmdb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_leveldb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/cudnn.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/blocking_queue.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/benchmark.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test -- Installing: 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/build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/train.py -- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__ -- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/pycaffe.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/classifier.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_install make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_install # The upstream unittest can be used to verify the BLAS correctness. # the two lines start with dash in order to avoid FTBFS on Arch=all. mv caffe_cpu_build/test/test.testbin caffe-gtest install -m0755 caffe-gtest debian/caffe/usr/bin/ dh_missing --list-missing make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installdocs -O-Scmake dh_installchangelogs -O-Scmake dh_installexamples -O-Scmake dh_installman -O-Scmake dh_bash-completion -O-Scmake debian/rules override_dh_python3 make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_python3 --requires=python/requirements.txt I: dh_python3 fs:343: renaming _caffe.so to _caffe.cpython-39-x86_64-linux-gnu.so dh_numpy3 make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installinit -O-Scmake dh_lintian -O-Scmake dh_perl -O-Scmake dh_link -O-Scmake dh_strip_nondeterminism -O-Scmake dh_compress -O-Scmake debian/rules override_dh_fixperms-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms -O-Scmake -Ncaffe -Nlibcaffe1 -Nlibcaffe-dev -Npython3-caffe dh_missing -O-Scmake dh_dwz -a -O-Scmake dh_strip -a -O-Scmake debian/rules override_dh_makeshlibs make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -a -O-Scmake dh_installdeb -O-Scmake dh_gencontrol -O-Scmake dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O-Scmake dh_builddeb -O-Scmake dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/862015 and its subdirectories I: Current time: Sat Dec 25 09:58:46 -12 2021 I: pbuilder-time-stamp: 1640469526 Sat Dec 25 21:58:48 UTC 2021 I: 1st build successful. Starting 2nd build on remote node ionos5-amd64.debian.net. Sat Dec 25 21:58:48 UTC 2021 I: Preparing to do remote build '2' on ionos5-amd64.debian.net. Sat Dec 25 22:33:34 UTC 2021 I: Deleting $TMPDIR on ionos5-amd64.debian.net. Sat Dec 25 22:33:34 UTC 2021 I: caffe_1.0.0+git20180821.99bd997-8_amd64.changes: Format: 1.8 Date: Sat, 21 Nov 2020 15:17:44 +0800 Source: caffe Binary: caffe caffe-dbgsym caffe-doc libcaffe-dev libcaffe1 libcaffe1-dbgsym python3-caffe python3-caffe-dbgsym Architecture: amd64 all Version: 1.0.0+git20180821.99bd997-8 Distribution: unstable Urgency: medium Maintainer: Debian Science Maintainers Changed-By: Mo Zhou Description: caffe - Tools for fast, open framework for Deep Learning (CPU_ONLY) caffe-doc - Caffe's doxygen docs and examples libcaffe-dev - development files for Caffe (CPU_ONLY) libcaffe1 - library of Caffe, deep learning framework (CPU_ONLY) python3-caffe - Python3 interface of Caffe (CPU_ONLY) Closes: 973104 Changes: caffe (1.0.0+git20180821.99bd997-8) unstable; urgency=medium . * No-change rebuilt against python3.9 (Closes: #973104) Checksums-Sha1: 9dd58e34d69f7162338ac00f944539f6b5092815 21566060 caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb e05ad0b1542f3f60507f21492d8c9b8719bb28fc 8342404 caffe-doc_1.0.0+git20180821.99bd997-8_all.deb 89529f3829bbcb90eaa29cb4de0d4ed4a19f8b57 23946 caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo 65dec39fde48f0c9fbbf50830cb421c075b4d380 1618316 caffe_1.0.0+git20180821.99bd997-8_amd64.deb 464b2e694601698472db8e0fe9370c47483d9ec1 279424 libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb 19b4e36d77478e2942a67f51f8363340a863bc7e 18525000 libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb ceb34e9240abdc2a69856bd2339c028e10349022 760892 libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb 2d99106e049f3726ef66970ae83798bd48160ffe 2945484 python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb 22571cb6ab406c247e08b1af6e3929148ed32fba 700616 python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb Checksums-Sha256: 954abb7d0d868bb6ccefb4bff0de51e22681a45b9e128de04b8aac401d7d9b48 21566060 caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb 85dc9137557c4d0c01fd77c5e405fe807727bcded0ae29e94921e5d933381af0 8342404 caffe-doc_1.0.0+git20180821.99bd997-8_all.deb d9ec656c781d3b19108c026739587a1803b84292709dbd4f7349589c5775d156 23946 caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo 4edbd73e493c4cba55ca0c8e6f0a4ffaa0a846aa4ec9bb52b5d7cedd8865837d 1618316 caffe_1.0.0+git20180821.99bd997-8_amd64.deb b9e0d5e7662aeb3a91331be55bbb45142be31c99a56c42e3a9bc1a718fcb274b 279424 libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb b666b60f523ac744c510ff1ddc857c013b1821d5ef2a0fca2fd17ffee241b582 18525000 libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb 063dfd766e70dea0f5911a7ba32865c02135ead86b94fa3df09fade2167b00a4 760892 libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb f9e74b02a7f35d72b7517357b3536edff9a9c2c610c83709742eb7b6a999148e 2945484 python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb d4c07194ef34a9d5867ab633b5d82adcaf1881b4e89d9fffdd66f1664e1ed87d 700616 python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb Files: c517eb3efbb101f61d31680116c47dd6 21566060 debug optional caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb b25178c611e1b1f14529aeb425199c61 8342404 doc optional caffe-doc_1.0.0+git20180821.99bd997-8_all.deb 2a6032964f84bb08f28859bedbd4aedf 23946 science optional caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo 5420c67336f86a81d0a627362762453c 1618316 science optional caffe_1.0.0+git20180821.99bd997-8_amd64.deb 7a4a7842dd4b8287ab5d1bc6dbaede74 279424 libdevel optional libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb 8afdfdce12a4536511fefd948d833089 18525000 debug optional libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb dcfcf0fb7a7d9b4375816104acba93ec 760892 libs optional libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb a46ac5874215d338e6d80afd9d2e9dd3 2945484 debug optional python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb 798d8c90d00bcad3d2a63f36e9a47487 700616 python optional python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb Sat Dec 25 22:33:35 UTC 2021 I: will be used to compare the two builds: # Profiling output for: /usr/bin/diffoscope --html /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/caffe_1.0.0+git20180821.99bd997-8.diffoscope.html --text /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/caffe_1.0.0+git20180821.99bd997-8.diffoscope.txt --json /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/caffe_1.0.0+git20180821.99bd997-8.diffoscope.json --profile=- /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/b1/caffe_1.0.0+git20180821.99bd997-8_amd64.changes /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/b2/caffe_1.0.0+git20180821.99bd997-8_amd64.changes ## command (total time: 0.000s) 0.000s 1 call cmp (internal) ## has_same_content_as (total time: 0.000s) 0.000s 1 call abc.DotChangesFile ## main (total time: 0.826s) 0.826s 2 calls outputs 0.000s 1 call cleanup ## recognizes (total time: 0.583s) 0.583s 10 calls diffoscope.comparators.binary.FilesystemFile 0.000s 8 calls abc.DotChangesFile Sat Dec 25 22:33:37 UTC 2021 I: found no differences in the changes files, and a .buildinfo file also exists. Sat Dec 25 22:33:37 UTC 2021 I: caffe from bullseye built successfully and reproducibly on amd64. Sat Dec 25 22:33:39 UTC 2021 I: Submitting .buildinfo files to external archives: Sat Dec 25 22:33:39 UTC 2021 I: Submitting 28K b1/caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo.asc Sat Dec 25 22:33:39 UTC 2021 I: Submitting 28K b2/caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo.asc Sat Dec 25 22:33:40 UTC 2021 I: Done submitting .buildinfo files to http://buildinfo.debian.net/api/submit. Sat Dec 25 22:33:40 UTC 2021 I: Done submitting .buildinfo files. Sat Dec 25 22:33:40 UTC 2021 I: Removing signed caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo.asc files: removed './b1/caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo.asc' removed './b2/caffe_1.0.0+git20180821.99bd997-8_amd64.buildinfo.asc'