I: pbuilder: network access will be disabled during build I: Current time: Sun Nov 28 20:16:01 -12 2021 I: pbuilder-time-stamp: 1638173761 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/buster-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+git20180821.99bd997-2.dsc] I: copying [./caffe_1.0.0+git20180821.99bd997.orig.tar.gz] I: copying [./caffe_1.0.0+git20180821.99bd997-2.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' gpgv: keyblock resource '/root/.gnupg/trustedkeys.kbx': General error gpgv: Signature made Wed Dec 5 16:26:36 2018 -12 gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./caffe_1.0.0+git20180821.99bd997-2.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+git20180821.99bd997-2.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 I: using fakeroot in build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/1832359/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 parallel=15' DISTRIBUTION='' HOME='/root' HOST_ARCH='amd64' IFS=' ' INVOCATION_ID='00d095b78f1c43489fe73dffeba184d2' 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='1832359' 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.yPlLzCDj65/pbuilderrc_sUIW --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/buster-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.yPlLzCDj65/b1 --logfile b1/build.log caffe_1.0.0+git20180821.99bd997-2.dsc' SUDO_GID='110' SUDO_UID='105' 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 ionos1-amd64 5.10.0-9-amd64 #1 SMP Debian 5.10.70-1 (2021-09-30) x86_64 GNU/Linux I: ls -l /bin total 5116 -rwxr-xr-x 1 root root 1168776 Apr 17 2019 bash -rwxr-xr-x 3 root root 38984 Jul 10 2019 bunzip2 -rwxr-xr-x 3 root root 38984 Jul 10 2019 bzcat lrwxrwxrwx 1 root root 6 Jul 10 2019 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2227 Jul 10 2019 bzdiff lrwxrwxrwx 1 root root 6 Jul 10 2019 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Jun 24 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 10 2019 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3641 Jul 10 2019 bzgrep -rwxr-xr-x 3 root root 38984 Jul 10 2019 bzip2 -rwxr-xr-x 1 root root 14328 Jul 10 2019 bzip2recover lrwxrwxrwx 1 root root 6 Jul 10 2019 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 10 2019 bzmore -rwxr-xr-x 1 root root 43744 Feb 28 2019 cat -rwxr-xr-x 1 root root 64320 Feb 28 2019 chgrp -rwxr-xr-x 1 root root 64288 Feb 28 2019 chmod -rwxr-xr-x 1 root root 72512 Feb 28 2019 chown -rwxr-xr-x 1 root root 146880 Feb 28 2019 cp -rwxr-xr-x 1 root root 121464 Jan 17 2019 dash -rwxr-xr-x 1 root root 109408 Feb 28 2019 date -rwxr-xr-x 1 root root 76712 Feb 28 2019 dd -rwxr-xr-x 1 root root 93744 Feb 28 2019 df -rwxr-xr-x 1 root root 138856 Feb 28 2019 dir -rwxr-xr-x 1 root root 84288 Jan 9 2019 dmesg lrwxrwxrwx 1 root root 8 Sep 26 2018 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Sep 26 2018 domainname -> hostname -rwxr-xr-x 1 root root 39520 Feb 28 2019 echo -rwxr-xr-x 1 root root 28 Jan 7 2019 egrep -rwxr-xr-x 1 root root 35424 Feb 28 2019 false -rwxr-xr-x 1 root root 28 Jan 7 2019 fgrep -rwxr-xr-x 1 root root 68880 Jan 9 2019 findmnt -rwsr-xr-x 1 root root 34896 Apr 22 2020 fusermount -rwxr-xr-x 1 root root 198976 Jan 7 2019 grep -rwxr-xr-x 2 root root 2345 Jan 5 2019 gunzip -rwxr-xr-x 1 root root 6375 Jan 5 2019 gzexe -rwxr-xr-x 1 root root 98048 Jan 5 2019 gzip -rwxr-xr-x 1 root root 26696 Sep 26 2018 hostname -rwxr-xr-x 1 root root 68552 Feb 28 2019 ln -rwxr-xr-x 1 root root 56760 Jul 26 2018 login -rwxr-xr-x 1 root root 138856 Feb 28 2019 ls -rwxr-xr-x 1 root root 108624 Jan 9 2019 lsblk -rwxr-xr-x 1 root root 89088 Feb 28 2019 mkdir -rwxr-xr-x 1 root root 68544 Feb 28 2019 mknod -rwxr-xr-x 1 root root 43808 Feb 28 2019 mktemp -rwxr-xr-x 1 root root 43008 Jan 9 2019 more -rwsr-xr-x 1 root root 51280 Jan 9 2019 mount -rwxr-xr-x 1 root root 14408 Jan 9 2019 mountpoint -rwxr-xr-x 1 root root 138728 Feb 28 2019 mv lrwxrwxrwx 1 root root 8 Sep 26 2018 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Feb 14 2019 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 39616 Feb 28 2019 pwd lrwxrwxrwx 1 root root 4 Apr 17 2019 rbash -> bash -rwxr-xr-x 1 root root 47776 Feb 28 2019 readlink -rwxr-xr-x 1 root root 68416 Feb 28 2019 rm -rwxr-xr-x 1 root root 47776 Feb 28 2019 rmdir -rwxr-xr-x 1 root root 23312 Jan 21 2019 run-parts -rwxr-xr-x 1 root root 122224 Dec 22 2018 sed lrwxrwxrwx 1 root root 4 Nov 7 09:58 sh -> dash -rwxr-xr-x 1 root root 39552 Feb 28 2019 sleep -rwxr-xr-x 1 root root 80672 Feb 28 2019 stty -rwsr-xr-x 1 root root 63568 Jan 9 2019 su -rwxr-xr-x 1 root root 35488 Feb 28 2019 sync -rwxr-xr-x 1 root root 445560 Apr 23 2019 tar -rwxr-xr-x 1 root root 14440 Jan 21 2019 tempfile -rwxr-xr-x 1 root root 97152 Feb 28 2019 touch -rwxr-xr-x 1 root root 35424 Feb 28 2019 true -rwxr-xr-x 1 root root 14328 Apr 22 2020 ulockmgr_server -rwsr-xr-x 1 root root 34888 Jan 9 2019 umount -rwxr-xr-x 1 root root 39584 Feb 28 2019 uname -rwxr-xr-x 2 root root 2345 Jan 5 2019 uncompress -rwxr-xr-x 1 root root 138856 Feb 28 2019 vdir -rwxr-xr-x 1 root root 34896 Jan 9 2019 wdctl -rwxr-xr-x 1 root root 946 Jan 21 2019 which lrwxrwxrwx 1 root root 8 Sep 26 2018 ypdomainname -> hostname -rwxr-xr-x 1 root root 1983 Jan 5 2019 zcat -rwxr-xr-x 1 root root 1677 Jan 5 2019 zcmp -rwxr-xr-x 1 root root 5879 Jan 5 2019 zdiff -rwxr-xr-x 1 root root 29 Jan 5 2019 zegrep -rwxr-xr-x 1 root root 29 Jan 5 2019 zfgrep -rwxr-xr-x 1 root root 2080 Jan 5 2019 zforce -rwxr-xr-x 1 root root 7584 Jan 5 2019 zgrep -rwxr-xr-x 1 root root 2205 Jan 5 2019 zless -rwxr-xr-x 1 root root 1841 Jan 5 2019 zmore -rwxr-xr-x 1 root root 4552 Jan 5 2019 znew I: user script /srv/workspace/pbuilder/1832359/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 (>= 11~), dh-python, git, 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-leveldb, 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 ... 19195 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 (>= 11~); however: Package debhelper is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on git; however: Package git 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-leveldb; however: Package python3-leveldb 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} bsdmainutils{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} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} git{a} git-man{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} libaec-dev{a} libaec0{a} libaom0{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo9{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} libavresample-dev{a} libavresample4{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.67-dev{a} libboost-atomic1.67.0{a} libboost-chrono1.67-dev{a} libboost-chrono1.67.0{a} libboost-date-time1.67-dev{a} libboost-date-time1.67.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.67-dev{a} libboost-filesystem1.67.0{a} libboost-python-dev{a} libboost-python1.67-dev{a} libboost-python1.67.0{a} libboost-serialization1.67-dev{a} libboost-serialization1.67.0{a} libboost-system-dev{a} libboost-system1.67-dev{a} libboost-thread-dev{a} libboost-thread1.67-dev{a} libboost-thread1.67.0{a} libboost1.67-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcdt5{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang1-6.0{a} libcodec2-0.8.1{a} libcolord2{a} libcroco3{a} libcryptsetup12{a} libcrystalhd3{a} libcups2{a} libcupsimage2{a} libcurl3-gnutls{a} libcurl4{a} libdap25{a} libdapclient6v5{a} libdapserver7v5{a} libdatrie1{a} libdbus-1-3{a} libdc1394-22{a} libdc1394-22-dev{a} libdconf1{a} libdevmapper1.02.1{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} liberror-perl{a} libevent-2.1-6{a} libevent-core-2.1-6{a} libevent-pthreads-2.1-6{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfabric1{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal20{a} libgdcm2-dev{a} libgdcm2.8{a} libgdk-pixbuf2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.7.1{a} libgeos-c1v5{a} libgeotiff2{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglib2.0-0{a} libglu1-mesa{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} libgssapi-krb5-2{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz-icu0{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103{a} libhdf5-cpp-103{a} libhdf5-dev{a} libhdf5-openmpi-103{a} libhwloc-plugins{a} libhwloc5{a} libibverbs1{a} libice6{a} libicu63{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase23{a} libimagequant0{a} libip4tc0{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} libjson-c3{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp1{a} libk5crypto3{a} libkeyutils1{a} libkmlbase1{a} libkmlconvenience1{a} libkmldom1{a} libkmlengine1{a} libkmlregionator1{a} libkmlxsd1{a} libkmod2{a} libkpathsea6{a} libkrb5-3{a} libkrb5support0{a} liblab-gamut1{a} liblapack3{a} liblcms2-2{a} libldap-2.4-2{a} libldap-common{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm6.0{a} libllvm7{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec2{a} libmpg123-0{a} libncurses6{a} libnetcdf-c++4{a} libnetcdf13{a} libnghttp2-14{a} libnl-3-200{a} libnl-route-3-200{a} libnspr4{a} libnss3{a} libnuma1{a} libodbc1{a} libogdi3.2{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d3.2{a} libopencv-contrib-dev{a} libopencv-contrib3.2{a} libopencv-core-dev{a} libopencv-core3.2{a} libopencv-dev{a} libopencv-features2d-dev{a} libopencv-features2d3.2{a} libopencv-flann-dev{a} libopencv-flann3.2{a} libopencv-highgui-dev{a} libopencv-highgui3.2{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs3.2{a} libopencv-imgproc-dev{a} libopencv-imgproc3.2{a} libopencv-ml-dev{a} libopencv-ml3.2{a} libopencv-objdetect-dev{a} libopencv-objdetect3.2{a} libopencv-photo-dev{a} libopencv-photo3.2{a} libopencv-shape-dev{a} libopencv-shape3.2{a} libopencv-stitching-dev{a} libopencv-stitching3.2{a} libopencv-superres-dev{a} libopencv-superres3.2{a} libopencv-ts-dev{a} libopencv-video-dev{a} libopencv-video3.2{a} libopencv-videoio-dev{a} libopencv-videoio3.2{a} libopencv-videostab-dev{a} libopencv-videostab3.2{a} libopencv-viz-dev{a} libopencv-viz3.2{a} libopencv3.2-java{a} libopencv3.2-jni{a} libopenexr-dev{a} libopenexr23{a} libopenjp2-7{a} libopenmpi3{a} libopenmpt0{a} libopus0{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} libpcre2-8-0{a} libpipeline1{a} libpixman-1-0{a} libpmix2{a} libpng-dev{a} libpng16-16{a} libpoppler82{a} libpopt0{a} libpotrace0{a} libpq5{a} libprocps7{a} libproj13{a} libprotobuf-dev{a} libprotobuf-lite17{a} libprotobuf17{a} libprotoc-dev{a} libprotoc17{a} libproxy1v5{a} libpsl5{a} libpsm-infinipath1{a} libpsm2-2{a} libptexenc1{a} libpython-dev{a} libpython-stdlib{a} libpython2-dev{a} libpython2-stdlib{a} libpython2.7{a} libpython2.7-dev{a} libpython2.7-minimal{a} libpython2.7-stdlib{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.7{a} libpython3.7-dev{a} libpython3.7-minimal{a} libpython3.7-stdlib{a} libqhull7{a} libraw1394-11{a} libraw1394-dev{a} librdmacm1{a} libreadline7{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librsvg2-common{a} librtmp1{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} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libssh-gcrypt-4{a} libssh2-1{a} libssl1.1{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} libtexlua52{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} libunicode-linebreak-perl{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} libvpx5{a} libvtk6.3{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libwoff1{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-155{a} libx265-165{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} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxdot4{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} libxxhash0{a} libyaml-0-2{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lsb-base{a} m4{a} man-db{a} mariadb-common{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{a} python-dev{a} python-matplotlib-data{a} python-minimal{a} python2{a} python2-dev{a} python2-minimal{a} python2.7{a} python2.7-dev{a} python2.7-minimal{a} python3{a} python3-cloudpickle{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-ipython{a} python3-ipython-genutils{a} python3-kiwisolver{a} python3-leveldb{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-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-simplegeneric{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.7{a} python3.7-dev{a} python3.7-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{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-pictures{a} ttf-bitstream-vera{a} ucf{a} x11-common{a} xdg-utils{a} xkb-data{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: at-spi2-core ca-certificates curl fonts-droid-fallback fonts-liberation gsfonts i965-va-driver ibverbs-providers intel-media-va-driver javascript-common krb5-locales less libaacs0 libarchive-cpio-perl libcupsfilters1 libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libpng-tools libraw1394-tools libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lmodern lynx mesa-va-drivers mesa-vdpau-drivers opencv-data openmpi-bin openssh-client proj-bin ps2eps psmisc publicsuffix python3-bs4 python3-dask python3-gdal python3-html5lib python3-lxml python3-numexpr python3-olefile python3-pytest python3-tables python3-tk ruby tex-gyre texlive-plain-generic tipa tk va-driver-all vdpau-driver-all vdpau-va-driver wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 562 newly installed, 0 to remove and 0 not upgraded. Need to get 546 MB of archives. After unpacking 2062 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian buster/main amd64 libapparmor1 amd64 2.13.2-10 [94.7 kB] Get: 2 http://deb.debian.org/debian buster/main amd64 libcap2 amd64 1:2.25-2 [17.6 kB] Get: 3 http://deb.debian.org/debian buster/main amd64 libargon2-1 amd64 0~20171227-0.2 [19.6 kB] Get: 4 http://deb.debian.org/debian buster/main amd64 dmsetup amd64 2:1.02.155-3 [90.8 kB] Get: 5 http://deb.debian.org/debian buster/main amd64 libdevmapper1.02.1 amd64 2:1.02.155-3 [141 kB] Get: 6 http://deb.debian.org/debian buster/main amd64 libjson-c3 amd64 0.12.1+ds-2+deb10u1 [27.3 kB] Get: 7 http://deb.debian.org/debian buster/main amd64 libssl1.1 amd64 1.1.1d-0+deb10u7 [1539 kB] Get: 8 http://deb.debian.org/debian buster/main amd64 libcryptsetup12 amd64 2:2.1.0-5+deb10u2 [193 kB] Get: 9 http://deb.debian.org/debian buster/main amd64 libidn11 amd64 1.33-2.2 [116 kB] Get: 10 http://deb.debian.org/debian buster/main amd64 libip4tc0 amd64 1.8.2-4 [70.2 kB] Get: 11 http://deb.debian.org/debian buster/main amd64 libkmod2 amd64 26-1 [52.7 kB] Get: 12 http://deb.debian.org/debian buster/main amd64 systemd amd64 241-7~deb10u8 [3496 kB] Get: 13 http://deb.debian.org/debian buster/main amd64 systemd-sysv amd64 241-7~deb10u8 [100 kB] Get: 14 http://deb.debian.org/debian buster/main amd64 libbsd0 amd64 0.9.1-2+deb10u1 [99.5 kB] Get: 15 http://deb.debian.org/debian buster/main amd64 bsdmainutils amd64 11.1.2+b1 [191 kB] Get: 16 http://deb.debian.org/debian buster/main amd64 libuchardet0 amd64 0.0.6-3 [64.9 kB] Get: 17 http://deb.debian.org/debian buster/main amd64 groff-base amd64 1.22.4-3+deb10u1 [916 kB] Get: 18 http://deb.debian.org/debian buster/main amd64 libpipeline1 amd64 1.5.1-2 [31.2 kB] Get: 19 http://deb.debian.org/debian buster/main amd64 man-db amd64 2.8.5-2 [1274 kB] Get: 20 http://deb.debian.org/debian buster/main amd64 libpython2.7-minimal amd64 2.7.16-2+deb10u1 [395 kB] Get: 21 http://deb.debian.org/debian buster/main amd64 python2.7-minimal amd64 2.7.16-2+deb10u1 [1369 kB] Get: 22 http://deb.debian.org/debian buster/main amd64 python2-minimal amd64 2.7.16-1 [41.4 kB] Get: 23 http://deb.debian.org/debian buster/main amd64 python-minimal amd64 2.7.16-1 [21.0 kB] Get: 24 http://deb.debian.org/debian buster/main amd64 mime-support all 3.62 [37.2 kB] Get: 25 http://deb.debian.org/debian buster/main amd64 libexpat1 amd64 2.2.6-2+deb10u1 [106 kB] Get: 26 http://deb.debian.org/debian buster/main amd64 readline-common all 7.0-5 [70.6 kB] Get: 27 http://deb.debian.org/debian buster/main amd64 libreadline7 amd64 7.0-5 [151 kB] Get: 28 http://deb.debian.org/debian buster/main amd64 libpython2.7-stdlib amd64 2.7.16-2+deb10u1 [1912 kB] Get: 29 http://deb.debian.org/debian buster/main amd64 python2.7 amd64 2.7.16-2+deb10u1 [305 kB] Get: 30 http://deb.debian.org/debian buster/main amd64 libpython2-stdlib amd64 2.7.16-1 [20.8 kB] Get: 31 http://deb.debian.org/debian buster/main amd64 libpython-stdlib amd64 2.7.16-1 [20.8 kB] Get: 32 http://deb.debian.org/debian buster/main amd64 python2 amd64 2.7.16-1 [41.6 kB] Get: 33 http://deb.debian.org/debian buster/main amd64 python amd64 2.7.16-1 [22.8 kB] Get: 34 http://deb.debian.org/debian buster/main amd64 poppler-data all 0.4.9-2 [1473 kB] Get: 35 http://deb.debian.org/debian buster/main amd64 libpython3.7-minimal amd64 3.7.3-2+deb10u3 [589 kB] Get: 36 http://deb.debian.org/debian buster/main amd64 python3.7-minimal amd64 3.7.3-2+deb10u3 [1737 kB] Get: 37 http://deb.debian.org/debian buster/main amd64 python3-minimal amd64 3.7.3-1 [36.6 kB] Get: 38 http://deb.debian.org/debian buster/main amd64 libmpdec2 amd64 2.4.2-2 [87.2 kB] Get: 39 http://deb.debian.org/debian buster/main amd64 libpython3.7-stdlib amd64 3.7.3-2+deb10u3 [1734 kB] Get: 40 http://deb.debian.org/debian buster/main amd64 python3.7 amd64 3.7.3-2+deb10u3 [330 kB] Get: 41 http://deb.debian.org/debian buster/main amd64 libpython3-stdlib amd64 3.7.3-1 [20.0 kB] Get: 42 http://deb.debian.org/debian buster/main amd64 python3 amd64 3.7.3-1 [61.5 kB] Get: 43 http://deb.debian.org/debian buster/main amd64 sensible-utils all 0.0.12 [15.8 kB] Get: 44 http://deb.debian.org/debian buster/main amd64 ucf all 3.0038+nmu1 [69.0 kB] Get: 45 http://deb.debian.org/debian buster/main amd64 tex-common all 6.11 [53.1 kB] Get: 46 http://deb.debian.org/debian buster/main amd64 libncurses6 amd64 6.1+20181013-2+deb10u2 [102 kB] Get: 47 http://deb.debian.org/debian buster/main amd64 libprocps7 amd64 2:3.3.15-2 [61.7 kB] Get: 48 http://deb.debian.org/debian buster/main amd64 lsb-base all 10.2019051400 [28.4 kB] Get: 49 http://deb.debian.org/debian buster/main amd64 procps amd64 2:3.3.15-2 [259 kB] Get: 50 http://deb.debian.org/debian buster/main amd64 bash-completion all 1:2.8-6 [208 kB] Get: 51 http://deb.debian.org/debian buster/main amd64 libdbus-1-3 amd64 1.12.20-0+deb10u1 [215 kB] Get: 52 http://deb.debian.org/debian buster/main amd64 dbus amd64 1.12.20-0+deb10u1 [236 kB] Get: 53 http://deb.debian.org/debian buster/main amd64 libmagic-mgc amd64 1:5.35-4+deb10u2 [242 kB] Get: 54 http://deb.debian.org/debian buster/main amd64 libmagic1 amd64 1:5.35-4+deb10u2 [118 kB] Get: 55 http://deb.debian.org/debian buster/main amd64 file amd64 1:5.35-4+deb10u2 [66.4 kB] Get: 56 http://deb.debian.org/debian buster/main amd64 gettext-base amd64 0.19.8.1-9 [123 kB] Get: 57 http://deb.debian.org/debian buster/main amd64 libpam-systemd amd64 241-7~deb10u8 [209 kB] Get: 58 http://deb.debian.org/debian buster/main amd64 hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 59 http://deb.debian.org/debian buster/main amd64 libglib2.0-0 amd64 2.58.3-2+deb10u3 [1259 kB] Get: 60 http://deb.debian.org/debian buster/main amd64 libjpeg62-turbo amd64 1:1.5.2-2+deb10u1 [133 kB] Get: 61 http://deb.debian.org/debian buster/main amd64 libpng16-16 amd64 1.6.36-6 [292 kB] Get: 62 http://deb.debian.org/debian buster/main amd64 libjbig0 amd64 2.1-3.1+b2 [31.0 kB] Get: 63 http://deb.debian.org/debian buster/main amd64 libwebp6 amd64 0.6.1-2+deb10u1 [261 kB] Get: 64 http://deb.debian.org/debian buster/main amd64 libtiff5 amd64 4.1.0+git191117-2~deb10u2 [271 kB] Get: 65 http://deb.debian.org/debian buster/main amd64 libxau6 amd64 1:1.0.8-1+b2 [19.9 kB] Get: 66 http://deb.debian.org/debian buster/main amd64 libxdmcp6 amd64 1:1.1.2-3 [26.3 kB] Get: 67 http://deb.debian.org/debian buster/main amd64 libxcb1 amd64 1.13.1-2 [137 kB] Get: 68 http://deb.debian.org/debian buster/main amd64 libx11-data all 2:1.6.7-1+deb10u2 [299 kB] Get: 69 http://deb.debian.org/debian buster/main amd64 libx11-6 amd64 2:1.6.7-1+deb10u2 [757 kB] Get: 70 http://deb.debian.org/debian buster/main amd64 libicu63 amd64 63.1-6+deb10u1 [8300 kB] Get: 71 http://deb.debian.org/debian buster/main amd64 libxml2 amd64 2.9.4+dfsg1-7+deb10u2 [689 kB] Get: 72 http://deb.debian.org/debian buster/main amd64 shared-mime-info amd64 1.10-1 [766 kB] Get: 73 http://deb.debian.org/debian buster/main amd64 libgdk-pixbuf2.0-common all 2.38.1+dfsg-1 [316 kB] Get: 74 http://deb.debian.org/debian buster/main amd64 libgdk-pixbuf2.0-0 amd64 2.38.1+dfsg-1 [177 kB] Get: 75 http://deb.debian.org/debian buster/main amd64 gtk-update-icon-cache amd64 3.24.5-1 [81.7 kB] Get: 76 http://deb.debian.org/debian buster/main amd64 libfreetype6 amd64 2.9.1-3+deb10u2 [380 kB] Get: 77 http://deb.debian.org/debian buster/main amd64 fonts-dejavu-core all 2.37-1 [1068 kB] Get: 78 http://deb.debian.org/debian buster/main amd64 ttf-bitstream-vera all 1.10-8 [352 kB] Get: 79 http://deb.debian.org/debian buster/main amd64 fontconfig-config all 2.13.1-2 [280 kB] Get: 80 http://deb.debian.org/debian buster/main amd64 libfontconfig1 amd64 2.13.1-2 [346 kB] Get: 81 http://deb.debian.org/debian buster/main amd64 libpixman-1-0 amd64 0.36.0-1 [537 kB] Get: 82 http://deb.debian.org/debian buster/main amd64 libxcb-render0 amd64 1.13.1-2 [109 kB] Get: 83 http://deb.debian.org/debian buster/main amd64 libxcb-shm0 amd64 1.13.1-2 [99.2 kB] Get: 84 http://deb.debian.org/debian buster/main amd64 libxext6 amd64 2:1.3.3-1+b2 [52.5 kB] Get: 85 http://deb.debian.org/debian buster/main amd64 libxrender1 amd64 1:0.9.10-1 [33.0 kB] Get: 86 http://deb.debian.org/debian buster/main amd64 libcairo2 amd64 1.16.0-4+deb10u1 [688 kB] Get: 87 http://deb.debian.org/debian buster/main amd64 libcroco3 amd64 0.6.12-3 [145 kB] Get: 88 http://deb.debian.org/debian buster/main amd64 fontconfig amd64 2.13.1-2 [405 kB] Get: 89 http://deb.debian.org/debian buster/main amd64 libfribidi0 amd64 1.0.5-3.1+deb10u1 [63.7 kB] Get: 90 http://deb.debian.org/debian buster/main amd64 libthai-data all 0.1.28-2 [170 kB] Get: 91 http://deb.debian.org/debian buster/main amd64 libdatrie1 amd64 0.2.12-2 [39.3 kB] Get: 92 http://deb.debian.org/debian buster/main amd64 libthai0 amd64 0.1.28-2 [54.1 kB] Get: 93 http://deb.debian.org/debian buster/main amd64 libpango-1.0-0 amd64 1.42.4-8~deb10u1 [186 kB] Get: 94 http://deb.debian.org/debian buster/main amd64 libgraphite2-3 amd64 1.3.13-7 [80.7 kB] Get: 95 http://deb.debian.org/debian buster/main amd64 libharfbuzz0b amd64 2.3.1-1 [1187 kB] Get: 96 http://deb.debian.org/debian buster/main amd64 libpangoft2-1.0-0 amd64 1.42.4-8~deb10u1 [68.3 kB] Get: 97 http://deb.debian.org/debian buster/main amd64 libpangocairo-1.0-0 amd64 1.42.4-8~deb10u1 [55.7 kB] Get: 98 http://deb.debian.org/debian buster/main amd64 librsvg2-2 amd64 2.44.10-2.1 [1280 kB] Get: 99 http://deb.debian.org/debian buster/main amd64 librsvg2-common amd64 2.44.10-2.1 [23.3 kB] Get: 100 http://deb.debian.org/debian buster/main amd64 adwaita-icon-theme all 3.30.1-1 [11.7 MB] Get: 101 http://deb.debian.org/debian buster/main amd64 libsigsegv2 amd64 2.12-2 [32.8 kB] Get: 102 http://deb.debian.org/debian buster/main amd64 m4 amd64 1.4.18-2 [203 kB] Get: 103 http://deb.debian.org/debian buster/main amd64 autoconf all 2.69-11 [341 kB] Get: 104 http://deb.debian.org/debian buster/main amd64 autotools-dev all 20180224.1 [77.0 kB] Get: 105 http://deb.debian.org/debian buster/main amd64 automake all 1:1.16.1-4 [771 kB] Get: 106 http://deb.debian.org/debian buster/main amd64 autopoint all 0.19.8.1-9 [434 kB] Get: 107 http://deb.debian.org/debian buster/main amd64 bc amd64 1.07.1-2+b1 [109 kB] Get: 108 http://deb.debian.org/debian buster/main amd64 libpaper1 amd64 1.1.28 [21.3 kB] Get: 109 http://deb.debian.org/debian buster/main amd64 libpaper-utils amd64 1.1.28 [18.0 kB] Get: 110 http://deb.debian.org/debian buster/main amd64 libkpathsea6 amd64 2018.20181218.49446-1 [167 kB] Get: 111 http://deb.debian.org/debian buster/main amd64 libptexenc1 amd64 2018.20181218.49446-1 [61.0 kB] Get: 112 http://deb.debian.org/debian buster/main amd64 libsynctex2 amd64 2018.20181218.49446-1 [80.5 kB] Get: 113 http://deb.debian.org/debian buster/main amd64 libtexlua52 amd64 2018.20181218.49446-1 [112 kB] Get: 114 http://deb.debian.org/debian buster/main amd64 libtexlua53 amd64 2018.20181218.49446-1 [126 kB] Get: 115 http://deb.debian.org/debian buster/main amd64 libtexluajit2 amd64 2018.20181218.49446-1 [256 kB] Get: 116 http://deb.debian.org/debian buster/main amd64 t1utils amd64 1.41-3 [62.3 kB] Get: 117 http://deb.debian.org/debian buster/main amd64 libbrotli1 amd64 1.0.7-2+deb10u1 [269 kB] Get: 118 http://deb.debian.org/debian buster/main amd64 libgs9-common all 9.27~dfsg-2+deb10u4 [5136 kB] Get: 119 http://deb.debian.org/debian buster/main amd64 libavahi-common-data amd64 0.7-4+deb10u1 [122 kB] Get: 120 http://deb.debian.org/debian buster/main amd64 libavahi-common3 amd64 0.7-4+deb10u1 [54.4 kB] Get: 121 http://deb.debian.org/debian buster/main amd64 libavahi-client3 amd64 0.7-4+deb10u1 [58.2 kB] Get: 122 http://deb.debian.org/debian buster/main amd64 libkeyutils1 amd64 1.6-6 [15.0 kB] Get: 123 http://deb.debian.org/debian buster/main amd64 libkrb5support0 amd64 1.17-3+deb10u3 [65.8 kB] Get: 124 http://deb.debian.org/debian buster/main amd64 libk5crypto3 amd64 1.17-3+deb10u3 [122 kB] Get: 125 http://deb.debian.org/debian buster/main amd64 libkrb5-3 amd64 1.17-3+deb10u3 [370 kB] Get: 126 http://deb.debian.org/debian buster/main amd64 libgssapi-krb5-2 amd64 1.17-3+deb10u3 [158 kB] Get: 127 http://deb.debian.org/debian buster/main amd64 libcups2 amd64 2.2.10-6+deb10u4 [324 kB] Get: 128 http://deb.debian.org/debian buster/main amd64 libcupsimage2 amd64 2.2.10-6+deb10u4 [133 kB] Get: 129 http://deb.debian.org/debian buster/main amd64 libijs-0.35 amd64 0.35-14 [18.3 kB] Get: 130 http://deb.debian.org/debian buster/main amd64 libjbig2dec0 amd64 0.16-1 [62.0 kB] Get: 131 http://deb.debian.org/debian buster/main amd64 liblcms2-2 amd64 2.9-3 [145 kB] Get: 132 http://deb.debian.org/debian buster/main amd64 libopenjp2-7 amd64 2.3.0-2+deb10u2 [158 kB] Get: 133 http://deb.debian.org/debian buster/main amd64 libgs9 amd64 9.27~dfsg-2+deb10u4 [2195 kB] Get: 134 http://deb.debian.org/debian buster/main amd64 libharfbuzz-icu0 amd64 2.3.1-1 [834 kB] Get: 135 http://deb.debian.org/debian buster/main amd64 x11-common all 1:7.7+19 [251 kB] Get: 136 http://deb.debian.org/debian buster/main amd64 libice6 amd64 2:1.0.9-2 [58.7 kB] Get: 137 http://deb.debian.org/debian buster/main amd64 libpotrace0 amd64 1.15-1 [26.3 kB] Get: 138 http://deb.debian.org/debian buster/main amd64 libsm6 amd64 2:1.2.3-1 [35.1 kB] Get: 139 http://deb.debian.org/debian buster/main amd64 libteckit0 amd64 2.5.8+ds2-5 [318 kB] Get: 140 http://deb.debian.org/debian buster/main amd64 libwoff1 amd64 1.0.2-1 [43.2 kB] Get: 141 http://deb.debian.org/debian buster/main amd64 libxt6 amd64 1:1.1.5-1+b3 [190 kB] Get: 142 http://deb.debian.org/debian buster/main amd64 libxmu6 amd64 2:1.1.2-2+b3 [60.8 kB] Get: 143 http://deb.debian.org/debian buster/main amd64 libxpm4 amd64 1:3.5.12-1 [49.1 kB] Get: 144 http://deb.debian.org/debian buster/main amd64 libxaw7 amd64 2:1.0.13-1+b2 [201 kB] Get: 145 http://deb.debian.org/debian buster/main amd64 libxi6 amd64 2:1.7.9-1 [82.6 kB] Get: 146 http://deb.debian.org/debian buster/main amd64 libxxhash0 amd64 0.6.5-2 [7156 B] Get: 147 http://deb.debian.org/debian buster/main amd64 libzzip-0-13 amd64 0.13.62-3.2 [55.4 kB] Get: 148 http://deb.debian.org/debian buster/main amd64 texlive-binaries amd64 2018.20181218.49446-1 [11.3 MB] Get: 149 http://deb.debian.org/debian buster/main amd64 xdg-utils all 1.1.3-1+deb10u1 [73.7 kB] Get: 150 http://deb.debian.org/debian buster/main amd64 texlive-base all 2018.20190227-2 [19.7 MB] Get: 151 http://deb.debian.org/debian buster/main amd64 fonts-lmodern all 2.004.5-6 [4539 kB] Get: 152 http://deb.debian.org/debian buster/main amd64 texlive-latex-base all 2018.20190227-2 [984 kB] Get: 153 http://deb.debian.org/debian buster/main amd64 texlive-latex-recommended all 2018.20190227-2 [15.2 MB] Get: 154 http://deb.debian.org/debian buster/main amd64 cm-super-minimal all 0.3.4-14 [5814 kB] Get: 155 http://deb.debian.org/debian buster/main amd64 cmake-data all 3.13.4-1 [1476 kB] Get: 156 http://deb.debian.org/debian buster/main amd64 libarchive13 amd64 3.3.3-4+deb10u1 [313 kB] Get: 157 http://deb.debian.org/debian buster/main amd64 libsasl2-modules-db amd64 2.1.27+dfsg-1+deb10u1 [69.1 kB] Get: 158 http://deb.debian.org/debian buster/main amd64 libsasl2-2 amd64 2.1.27+dfsg-1+deb10u1 [106 kB] Get: 159 http://deb.debian.org/debian buster/main amd64 libldap-common all 2.4.47+dfsg-3+deb10u6 [90.0 kB] Get: 160 http://deb.debian.org/debian buster/main amd64 libldap-2.4-2 amd64 2.4.47+dfsg-3+deb10u6 [224 kB] Get: 161 http://deb.debian.org/debian buster/main amd64 libnghttp2-14 amd64 1.36.0-2+deb10u1 [85.0 kB] Get: 162 http://deb.debian.org/debian buster/main amd64 libpsl5 amd64 0.20.2-2 [53.7 kB] Get: 163 http://deb.debian.org/debian buster/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2 [60.5 kB] Get: 164 http://deb.debian.org/debian buster/main amd64 libssh2-1 amd64 1.8.0-2.1 [140 kB] Get: 165 http://deb.debian.org/debian buster/main amd64 libcurl4 amd64 7.64.0-4+deb10u2 [332 kB] Get: 166 http://deb.debian.org/debian buster/main amd64 libjsoncpp1 amd64 1.7.4-3 [75.6 kB] Get: 167 http://deb.debian.org/debian buster/main amd64 librhash0 amd64 1.3.8-1 [122 kB] Get: 168 http://deb.debian.org/debian buster/main amd64 libuv1 amd64 1.24.1-1+deb10u1 [110 kB] Get: 169 http://deb.debian.org/debian buster/main amd64 cmake amd64 3.13.4-1 [3480 kB] Get: 170 http://deb.debian.org/debian buster/main amd64 cython3 amd64 0.29.2-2 [1392 kB] Get: 171 http://deb.debian.org/debian buster/main amd64 dbus-user-session amd64 1.12.20-0+deb10u1 [94.5 kB] Get: 172 http://deb.debian.org/debian buster/main amd64 libdconf1 amd64 0.30.1-2 [40.7 kB] Get: 173 http://deb.debian.org/debian buster/main amd64 dconf-service amd64 0.30.1-2 [36.4 kB] Get: 174 http://deb.debian.org/debian buster/main amd64 dconf-gsettings-backend amd64 0.30.1-2 [28.9 kB] Get: 175 http://deb.debian.org/debian buster/main amd64 libtool all 2.4.6-9 [547 kB] Get: 176 http://deb.debian.org/debian buster/main amd64 dh-autoreconf all 19 [16.9 kB] Get: 177 http://deb.debian.org/debian buster/main amd64 libarchive-zip-perl all 1.64-1 [96.8 kB] Get: 178 http://deb.debian.org/debian buster/main amd64 libfile-stripnondeterminism-perl all 1.1.2-1 [19.8 kB] Get: 179 http://deb.debian.org/debian buster/main amd64 dh-strip-nondeterminism all 1.1.2-1 [13.0 kB] Get: 180 http://deb.debian.org/debian buster/main amd64 libelf1 amd64 0.176-1.1 [161 kB] Get: 181 http://deb.debian.org/debian buster/main amd64 dwz amd64 0.12-3 [78.0 kB] Get: 182 http://deb.debian.org/debian buster/main amd64 gettext amd64 0.19.8.1-9 [1303 kB] Get: 183 http://deb.debian.org/debian buster/main amd64 intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 184 http://deb.debian.org/debian buster/main amd64 po-debconf all 1.0.21 [248 kB] Get: 185 http://deb.debian.org/debian buster/main amd64 debhelper all 12.1.1 [1016 kB] Get: 186 http://deb.debian.org/debian buster/main amd64 python3-lib2to3 all 3.7.3-1 [76.7 kB] Get: 187 http://deb.debian.org/debian buster/main amd64 python3-distutils all 3.7.3-1 [142 kB] Get: 188 http://deb.debian.org/debian buster/main amd64 dh-python all 3.20190308 [99.3 kB] Get: 189 http://deb.debian.org/debian buster/main amd64 libedit2 amd64 3.1-20181209-1 [94.0 kB] Get: 190 http://deb.debian.org/debian buster/main amd64 libllvm6.0 amd64 1:6.0.1-10 [14.7 MB] Get: 191 http://deb.debian.org/debian buster/main amd64 libclang1-6.0 amd64 1:6.0.1-10 [6951 kB] Get: 192 http://deb.debian.org/debian buster/main amd64 doxygen amd64 1.8.13-10 [3985 kB] Get: 193 http://deb.debian.org/debian buster/main amd64 libsombok3 amd64 2.4.0-2 [31.3 kB] Get: 194 http://deb.debian.org/debian buster/main amd64 libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 195 http://deb.debian.org/debian buster/main amd64 libunicode-linebreak-perl amd64 0.0.20190101-1 [103 kB] Get: 196 http://deb.debian.org/debian buster/main amd64 texlive-extra-utils all 2018.20190227-2 [39.4 MB] Get: 197 http://deb.debian.org/debian buster/main amd64 preview-latex-style all 11.91-2 [201 kB] Get: 198 http://deb.debian.org/debian buster/main amd64 texlive-pictures all 2018.20190227-2 [8201 kB] Get: 199 http://deb.debian.org/debian buster/main amd64 texlive-latex-extra all 2018.20190227-2 [12.3 MB] Get: 200 http://deb.debian.org/debian buster/main amd64 texlive-font-utils all 2018.20190227-2 [1746 kB] Get: 201 http://deb.debian.org/debian buster/main amd64 ghostscript amd64 9.27~dfsg-2+deb10u4 [94.9 kB] Get: 202 http://deb.debian.org/debian buster/main amd64 texlive-fonts-recommended all 2018.20190227-2 [5228 kB] Get: 203 http://deb.debian.org/debian buster/main amd64 doxygen-latex all 1.8.13-10 [113 kB] Get: 204 http://deb.debian.org/debian buster/main amd64 fonts-lyx all 2.3.2-1 [199 kB] Get: 205 http://deb.debian.org/debian buster/main amd64 gdal-data all 2.4.0+dfsg-1 [744 kB] Get: 206 http://deb.debian.org/debian buster/main amd64 libcurl3-gnutls amd64 7.64.0-4+deb10u2 [330 kB] Get: 207 http://deb.debian.org/debian buster/main amd64 libpcre2-8-0 amd64 10.32-5 [213 kB] Get: 208 http://deb.debian.org/debian buster/main amd64 liberror-perl all 0.17027-2 [30.9 kB] Get: 209 http://deb.debian.org/debian buster/main amd64 git-man all 1:2.20.1-2+deb10u3 [1620 kB] Get: 210 http://deb.debian.org/debian buster/main amd64 git amd64 1:2.20.1-2+deb10u3 [5633 kB] Get: 211 http://deb.debian.org/debian buster/main amd64 libproxy1v5 amd64 0.4.15-5+deb10u1 [56.1 kB] Get: 212 http://deb.debian.org/debian buster/main amd64 glib-networking-common all 2.58.0-2+deb10u2 [59.5 kB] Get: 213 http://deb.debian.org/debian buster/main amd64 glib-networking-services amd64 2.58.0-2+deb10u2 [13.7 kB] Get: 214 http://deb.debian.org/debian buster/main amd64 gsettings-desktop-schemas all 3.28.1-1 [529 kB] Get: 215 http://deb.debian.org/debian buster/main amd64 glib-networking amd64 2.58.0-2+deb10u2 [54.6 kB] Get: 216 http://deb.debian.org/debian buster/main amd64 libcdt5 amd64 2.40.1-6+deb10u1 [60.7 kB] Get: 217 http://deb.debian.org/debian buster/main amd64 libcgraph6 amd64 2.40.1-6+deb10u1 [84.2 kB] Get: 218 http://deb.debian.org/debian buster/main amd64 libgd3 amd64 2.2.5-5.2 [136 kB] Get: 219 http://deb.debian.org/debian buster/main amd64 libgts-0.7-5 amd64 0.7.6+darcs121130-4 [158 kB] Get: 220 http://deb.debian.org/debian buster/main amd64 libltdl7 amd64 2.4.6-9 [390 kB] Get: 221 http://deb.debian.org/debian buster/main amd64 libpathplan4 amd64 2.40.1-6+deb10u1 [63.6 kB] Get: 222 http://deb.debian.org/debian buster/main amd64 libxdot4 amd64 2.40.1-6+deb10u1 [57.0 kB] Get: 223 http://deb.debian.org/debian buster/main amd64 libgvc6 amd64 2.40.1-6+deb10u1 [646 kB] Get: 224 http://deb.debian.org/debian buster/main amd64 libgvpr2 amd64 2.40.1-6+deb10u1 [213 kB] Get: 225 http://deb.debian.org/debian buster/main amd64 liblab-gamut1 amd64 2.40.1-6+deb10u1 [220 kB] Get: 226 http://deb.debian.org/debian buster/main amd64 graphviz amd64 2.40.1-6+deb10u1 [596 kB] Get: 227 http://deb.debian.org/debian buster/main amd64 hdf5-helpers amd64 1.10.4+repack-10 [35.2 kB] Get: 228 http://deb.debian.org/debian buster/main amd64 python3-decorator all 4.3.0-1.1 [14.5 kB] Get: 229 http://deb.debian.org/debian buster/main amd64 python3-ptyprocess all 0.6.0-1 [13.2 kB] Get: 230 http://deb.debian.org/debian buster/main amd64 python3-pexpect all 4.6.0-1 [52.4 kB] Get: 231 http://deb.debian.org/debian buster/main amd64 python3-pickleshare all 0.7.5-1 [7348 B] Get: 232 http://deb.debian.org/debian buster/main amd64 python3-pkg-resources all 40.8.0-1 [153 kB] Get: 233 http://deb.debian.org/debian buster/main amd64 python3-six all 1.12.0-1 [15.7 kB] Get: 234 http://deb.debian.org/debian buster/main amd64 python3-wcwidth all 0.1.7+dfsg1-3 [15.0 kB] Get: 235 http://deb.debian.org/debian buster/main amd64 python3-prompt-toolkit all 1.0.15-1 [179 kB] Get: 236 http://deb.debian.org/debian buster/main amd64 python3-pygments all 2.3.1+dfsg-1+deb10u2 [594 kB] Get: 237 http://deb.debian.org/debian buster/main amd64 python3-simplegeneric all 0.8.1-2 [11.1 kB] Get: 238 http://deb.debian.org/debian buster/main amd64 python3-ipython-genutils all 0.2.0-1 [20.9 kB] Get: 239 http://deb.debian.org/debian buster/main amd64 python3-traitlets all 4.3.2-1 [60.7 kB] Get: 240 http://deb.debian.org/debian buster/main amd64 python3-ipython all 5.8.0-1 [390 kB] Get: 241 http://deb.debian.org/debian buster/main amd64 ipython3 all 5.8.0-1 [14.1 kB] Get: 242 http://deb.debian.org/debian buster/main amd64 libaec0 amd64 1.0.2-1 [20.1 kB] Get: 243 http://deb.debian.org/debian buster/main amd64 libsz2 amd64 1.0.2-1 [6676 B] Get: 244 http://deb.debian.org/debian buster/main amd64 libaec-dev amd64 1.0.2-1 [18.4 kB] Get: 245 http://deb.debian.org/debian buster/main amd64 libaom0 amd64 1.0.0-3 [1165 kB] Get: 246 http://deb.debian.org/debian buster/main amd64 libgfortran5 amd64 8.3.0-6 [581 kB] Get: 247 http://deb.debian.org/debian buster/main amd64 libblas3 amd64 3.8.0-2 [148 kB] Get: 248 http://deb.debian.org/debian buster/main amd64 liblapack3 amd64 3.8.0-2 [2110 kB] Get: 249 http://deb.debian.org/debian buster/main amd64 libarpack2 amd64 3.7.0-2 [102 kB] Get: 250 http://deb.debian.org/debian buster/main amd64 libsuperlu5 amd64 5.2.1+dfsg1-4 [161 kB] Get: 251 http://deb.debian.org/debian buster/main amd64 libarmadillo9 amd64 1:9.200.7+dfsg-1 [88.6 kB] Get: 252 http://deb.debian.org/debian buster/main amd64 libatk1.0-data all 2.30.0-2 [145 kB] Get: 253 http://deb.debian.org/debian buster/main amd64 libatk1.0-0 amd64 2.30.0-2 [50.6 kB] Get: 254 http://deb.debian.org/debian buster/main amd64 libatspi2.0-0 amd64 2.30.0-7 [65.0 kB] Get: 255 http://deb.debian.org/debian buster/main amd64 libatk-bridge2.0-0 amd64 2.30.0-5 [61.6 kB] Get: 256 http://deb.debian.org/debian buster/main amd64 libdrm-common all 2.4.97-1 [13.8 kB] Get: 257 http://deb.debian.org/debian buster/main amd64 libdrm2 amd64 2.4.97-1 [39.7 kB] Get: 258 http://deb.debian.org/debian buster/main amd64 libva2 amd64 2.4.0-1 [57.2 kB] Get: 259 http://deb.debian.org/debian buster/main amd64 libva-drm2 amd64 2.4.0-1 [16.6 kB] Get: 260 http://deb.debian.org/debian buster/main amd64 libxfixes3 amd64 1:5.0.3-1 [21.9 kB] Get: 261 http://deb.debian.org/debian buster/main amd64 libva-x11-2 amd64 2.4.0-1 [21.3 kB] Get: 262 http://deb.debian.org/debian buster/main amd64 libvdpau1 amd64 1.1.1-10 [42.0 kB] Get: 263 http://deb.debian.org/debian buster/main amd64 libavutil56 amd64 7:4.1.6-1~deb10u1 [237 kB] Get: 264 http://deb.debian.org/debian buster/main amd64 libcodec2-0.8.1 amd64 0.8.1-2 [233 kB] Get: 265 http://deb.debian.org/debian buster/main amd64 libcrystalhd3 amd64 1:0.0~git20110715.fdd2f19-13 [45.9 kB] Get: 266 http://deb.debian.org/debian buster/main amd64 libgsm1 amd64 1.0.18-2 [27.7 kB] Get: 267 http://deb.debian.org/debian buster/main amd64 libmp3lame0 amd64 3.100-2+b1 [367 kB] Get: 268 http://deb.debian.org/debian buster/main amd64 libopus0 amd64 1.3-1 [191 kB] Get: 269 http://deb.debian.org/debian buster/main amd64 libshine3 amd64 3.1.1-2 [23.6 kB] Get: 270 http://deb.debian.org/debian buster/main amd64 libsnappy1v5 amd64 1.1.7-1 [17.0 kB] Get: 271 http://deb.debian.org/debian buster/main amd64 libspeex1 amd64 1.2~rc1.2-1+b2 [54.8 kB] Get: 272 http://deb.debian.org/debian buster/main amd64 libsoxr0 amd64 0.1.2-3 [65.9 kB] Get: 273 http://deb.debian.org/debian buster/main amd64 libswresample3 amd64 7:4.1.6-1~deb10u1 [105 kB] Get: 274 http://deb.debian.org/debian buster/main amd64 libogg0 amd64 1.3.2-1+b1 [21.3 kB] Get: 275 http://deb.debian.org/debian buster/main amd64 libtheora0 amd64 1.1.1+dfsg.1-15 [169 kB] Get: 276 http://deb.debian.org/debian buster/main amd64 libtwolame0 amd64 0.3.13-4 [49.3 kB] Get: 277 http://deb.debian.org/debian buster/main amd64 libvorbis0a amd64 1.3.6-2 [93.5 kB] Get: 278 http://deb.debian.org/debian buster/main amd64 libvorbisenc2 amd64 1.3.6-2 [80.2 kB] Get: 279 http://deb.debian.org/debian buster/main amd64 libvpx5 amd64 1.7.0-3+deb10u1 [800 kB] Get: 280 http://deb.debian.org/debian buster/main amd64 libwavpack1 amd64 5.1.0-6 [86.8 kB] Get: 281 http://deb.debian.org/debian buster/main amd64 libwebpmux3 amd64 0.6.1-2+deb10u1 [97.8 kB] Get: 282 http://deb.debian.org/debian buster/main amd64 libx264-155 amd64 2:0.155.2917+git0a84d98-2 [528 kB] Get: 283 http://deb.debian.org/debian buster/main amd64 libnuma1 amd64 2.0.12-1 [26.2 kB] Get: 284 http://deb.debian.org/debian buster/main amd64 libx265-165 amd64 2.9-4 [1041 kB] Get: 285 http://deb.debian.org/debian buster/main amd64 libxvidcore4 amd64 2:1.3.5-1 [241 kB] Get: 286 http://deb.debian.org/debian buster/main amd64 libzvbi-common all 0.2.35-16 [64.3 kB] Get: 287 http://deb.debian.org/debian buster/main amd64 libzvbi0 amd64 0.2.35-16 [270 kB] Get: 288 http://deb.debian.org/debian buster/main amd64 libavcodec58 amd64 7:4.1.6-1~deb10u1 [4803 kB] Get: 289 http://deb.debian.org/debian buster/main amd64 libavutil-dev amd64 7:4.1.6-1~deb10u1 [355 kB] Get: 290 http://deb.debian.org/debian buster/main amd64 libswresample-dev amd64 7:4.1.6-1~deb10u1 [118 kB] Get: 291 http://deb.debian.org/debian buster/main amd64 libavcodec-dev amd64 7:4.1.6-1~deb10u1 [5328 kB] Get: 292 http://deb.debian.org/debian buster/main amd64 libbluray2 amd64 1:1.1.0-1 [145 kB] Get: 293 http://deb.debian.org/debian buster/main amd64 libchromaprint1 amd64 1.4.3-3 [41.4 kB] Get: 294 http://deb.debian.org/debian buster/main amd64 libgme0 amd64 0.6.2-1 [121 kB] Get: 295 http://deb.debian.org/debian buster/main amd64 libmpg123-0 amd64 1.25.10-2 [140 kB] Get: 296 http://deb.debian.org/debian buster/main amd64 libvorbisfile3 amd64 1.3.6-2 [25.5 kB] Get: 297 http://deb.debian.org/debian buster/main amd64 libopenmpt0 amd64 0.4.3-1+deb10u1 [627 kB] Get: 298 http://deb.debian.org/debian buster/main amd64 libssh-gcrypt-4 amd64 0.8.7-1+deb10u1 [200 kB] Get: 299 http://deb.debian.org/debian buster/main amd64 libavformat58 amd64 7:4.1.6-1~deb10u1 [1012 kB] Get: 300 http://deb.debian.org/debian buster/main amd64 libavformat-dev amd64 7:4.1.6-1~deb10u1 [1208 kB] Get: 301 http://deb.debian.org/debian buster/main amd64 libavresample4 amd64 7:4.1.6-1~deb10u1 [102 kB] Get: 302 http://deb.debian.org/debian buster/main amd64 libavresample-dev amd64 7:4.1.6-1~deb10u1 [112 kB] Get: 303 http://deb.debian.org/debian buster/main amd64 libblas-dev amd64 3.8.0-2 [154 kB] Get: 304 http://deb.debian.org/debian buster/main amd64 libboost1.67-dev amd64 1.67.0-13+deb10u1 [8388 kB] Get: 305 http://deb.debian.org/debian buster/main amd64 libboost-atomic1.67.0 amd64 1.67.0-13+deb10u1 [226 kB] Get: 306 http://deb.debian.org/debian buster/main amd64 libboost-atomic1.67-dev amd64 1.67.0-13+deb10u1 [225 kB] Get: 307 http://deb.debian.org/debian buster/main amd64 libboost-chrono1.67.0 amd64 1.67.0-13+deb10u1 [234 kB] Get: 308 http://deb.debian.org/debian buster/main amd64 libboost-chrono1.67-dev amd64 1.67.0-13+deb10u1 [236 kB] Get: 309 http://deb.debian.org/debian buster/main amd64 libboost-date-time1.67.0 amd64 1.67.0-13+deb10u1 [239 kB] Get: 310 http://deb.debian.org/debian buster/main amd64 libboost-serialization1.67.0 amd64 1.67.0-13+deb10u1 [319 kB] Get: 311 http://deb.debian.org/debian buster/main amd64 libboost-serialization1.67-dev amd64 1.67.0-13+deb10u1 [359 kB] Get: 312 http://deb.debian.org/debian buster/main amd64 libboost-date-time1.67-dev amd64 1.67.0-13+deb10u1 [248 kB] Get: 313 http://deb.debian.org/debian buster/main amd64 libboost-dev amd64 1.67.0.1 [3864 B] Get: 314 http://deb.debian.org/debian buster/main amd64 libboost-filesystem1.67.0 amd64 1.67.0-13+deb10u1 [261 kB] Get: 315 http://deb.debian.org/debian buster/main amd64 libboost-system1.67-dev amd64 1.67.0-13+deb10u1 [231 kB] Get: 316 http://deb.debian.org/debian buster/main amd64 libboost-filesystem1.67-dev amd64 1.67.0-13+deb10u1 [269 kB] Get: 317 http://deb.debian.org/debian buster/main amd64 libboost-filesystem-dev amd64 1.67.0.1 [3684 B] Get: 318 http://deb.debian.org/debian buster/main amd64 libboost-python1.67.0 amd64 1.67.0-13+deb10u1 [328 kB] Get: 319 http://deb.debian.org/debian buster/main amd64 libpython2.7 amd64 2.7.16-2+deb10u1 [1036 kB] Get: 320 http://deb.debian.org/debian buster/main amd64 libexpat1-dev amd64 2.2.6-2+deb10u1 [153 kB] Get: 321 http://deb.debian.org/debian buster/main amd64 libpython2.7-dev amd64 2.7.16-2+deb10u1 [31.6 MB] Get: 322 http://deb.debian.org/debian buster/main amd64 libpython2-dev amd64 2.7.16-1 [20.9 kB] Get: 323 http://deb.debian.org/debian buster/main amd64 libpython-dev amd64 2.7.16-1 [20.9 kB] Get: 324 http://deb.debian.org/debian buster/main amd64 python2.7-dev amd64 2.7.16-2+deb10u1 [294 kB] Get: 325 http://deb.debian.org/debian buster/main amd64 python2-dev amd64 2.7.16-1 [1212 B] Get: 326 http://deb.debian.org/debian buster/main amd64 python-dev amd64 2.7.16-1 [1192 B] Get: 327 http://deb.debian.org/debian buster/main amd64 libpython3.7 amd64 3.7.3-2+deb10u3 [1498 kB] Get: 328 http://deb.debian.org/debian buster/main amd64 libpython3.7-dev amd64 3.7.3-2+deb10u3 [48.4 MB] Get: 329 http://deb.debian.org/debian buster/main amd64 libpython3-dev amd64 3.7.3-1 [20.1 kB] Get: 330 http://deb.debian.org/debian buster/main amd64 python3.7-dev amd64 3.7.3-2+deb10u3 [510 kB] Get: 331 http://deb.debian.org/debian buster/main amd64 python3-dev amd64 3.7.3-1 [1264 B] Get: 332 http://deb.debian.org/debian buster/main amd64 libboost-python1.67-dev amd64 1.67.0-13+deb10u1 [335 kB] Get: 333 http://deb.debian.org/debian buster/main amd64 libboost-python-dev amd64 1.67.0.1 [3948 B] Get: 334 http://deb.debian.org/debian buster/main amd64 libboost-system-dev amd64 1.67.0.1 [3788 B] Get: 335 http://deb.debian.org/debian buster/main amd64 libboost-thread1.67.0 amd64 1.67.0-13+deb10u1 [268 kB] Get: 336 http://deb.debian.org/debian buster/main amd64 libboost-thread1.67-dev amd64 1.67.0-13+deb10u1 [270 kB] Get: 337 http://deb.debian.org/debian buster/main amd64 libboost-thread-dev amd64 1.67.0.1 [3672 B] Get: 338 http://deb.debian.org/debian buster/main amd64 libcairo-gobject2 amd64 1.16.0-4+deb10u1 [125 kB] Get: 339 http://deb.debian.org/debian buster/main amd64 libcharls2 amd64 2.0.0+dfsg-1 [64.3 kB] Get: 340 http://deb.debian.org/debian buster/main amd64 libcolord2 amd64 1.4.3-4 [141 kB] Get: 341 http://deb.debian.org/debian buster/main amd64 libdap25 amd64 3.20.3-1 [557 kB] Get: 342 http://deb.debian.org/debian buster/main amd64 libdapclient6v5 amd64 3.20.3-1 [202 kB] Get: 343 http://deb.debian.org/debian buster/main amd64 libdapserver7v5 amd64 3.20.3-1 [131 kB] Get: 344 http://deb.debian.org/debian buster/main amd64 libraw1394-11 amd64 2.1.2-1+b1 [47.2 kB] Get: 345 http://deb.debian.org/debian buster/main amd64 libusb-1.0-0 amd64 2:1.0.22-2 [55.3 kB] Get: 346 http://deb.debian.org/debian buster/main amd64 libdc1394-22 amd64 2.2.5-1 [106 kB] Get: 347 http://deb.debian.org/debian buster/main amd64 libraw1394-dev amd64 2.1.2-1+b1 [57.9 kB] Get: 348 http://deb.debian.org/debian buster/main amd64 libdc1394-22-dev amd64 2.2.5-1 [138 kB] Get: 349 http://deb.debian.org/debian buster/main amd64 libdrm-amdgpu1 amd64 2.4.97-1 [27.3 kB] Get: 350 http://deb.debian.org/debian buster/main amd64 libpciaccess0 amd64 0.14-1 [53.5 kB] Get: 351 http://deb.debian.org/debian buster/main amd64 libdrm-intel1 amd64 2.4.97-1 [69.8 kB] Get: 352 http://deb.debian.org/debian buster/main amd64 libdrm-nouveau2 amd64 2.4.97-1 [26.3 kB] Get: 353 http://deb.debian.org/debian buster/main amd64 libdrm-radeon1 amd64 2.4.97-1 [31.1 kB] Get: 354 http://deb.debian.org/debian buster/main amd64 libepoxy0 amd64 1.5.3-0.1 [190 kB] Get: 355 http://deb.debian.org/debian buster/main amd64 libpopt0 amd64 1.16-12 [49.4 kB] Get: 356 http://deb.debian.org/debian buster/main amd64 libepsilon1 amd64 0.9.2+dfsg-4 [42.0 kB] Get: 357 http://deb.debian.org/debian buster/main amd64 libevent-2.1-6 amd64 2.1.8-stable-4 [177 kB] Get: 358 http://deb.debian.org/debian buster/main amd64 libevent-core-2.1-6 amd64 2.1.8-stable-4 [129 kB] Get: 359 http://deb.debian.org/debian buster/main amd64 libevent-pthreads-2.1-6 amd64 2.1.8-stable-4 [47.9 kB] Get: 360 http://deb.debian.org/debian buster/main amd64 libexif12 amd64 0.6.21-5.1+deb10u5 [326 kB] Get: 361 http://deb.debian.org/debian buster/main amd64 libexif-dev amd64 0.6.21-5.1+deb10u5 [113 kB] Get: 362 http://deb.debian.org/debian buster/main amd64 libnl-3-200 amd64 3.4.0-1 [63.0 kB] Get: 363 http://deb.debian.org/debian buster/main amd64 libnl-route-3-200 amd64 3.4.0-1 [162 kB] Get: 364 http://deb.debian.org/debian buster/main amd64 libibverbs1 amd64 22.1-1 [51.2 kB] Get: 365 http://deb.debian.org/debian buster/main amd64 libpsm-infinipath1 amd64 3.3+20.604758e7-6 [168 kB] Get: 366 http://deb.debian.org/debian buster/main amd64 libpsm2-2 amd64 11.2.78-1 [177 kB] Get: 367 http://deb.debian.org/debian buster/main amd64 librdmacm1 amd64 22.1-1 [65.3 kB] Get: 368 http://deb.debian.org/debian buster/main amd64 libfabric1 amd64 1.6.2-3 [396 kB] Get: 369 http://deb.debian.org/debian buster/main amd64 libfreexl1 amd64 1.0.5-3 [34.1 kB] Get: 370 http://deb.debian.org/debian buster/main amd64 libfyba0 amd64 4.1.1-6 [114 kB] Get: 371 http://deb.debian.org/debian buster/main amd64 libgeos-3.7.1 amd64 3.7.1-1 [735 kB] Get: 372 http://deb.debian.org/debian buster/main amd64 libgeos-c1v5 amd64 3.7.1-1 [299 kB] Get: 373 http://deb.debian.org/debian buster/main amd64 proj-data all 5.2.0-1 [6986 kB] Get: 374 http://deb.debian.org/debian buster/main amd64 libproj13 amd64 5.2.0-1 [225 kB] Get: 375 http://deb.debian.org/debian buster/main amd64 libgeotiff2 amd64 1.4.3-1 [72.0 kB] Get: 376 http://deb.debian.org/debian buster/main amd64 libgif7 amd64 5.1.4-3 [43.3 kB] Get: 377 http://deb.debian.org/debian buster/main amd64 libhdf4-0-alt amd64 4.2.13-4 [277 kB] Get: 378 http://deb.debian.org/debian buster/main amd64 libhdf5-103 amd64 1.10.4+repack-10 [1325 kB] Get: 379 http://deb.debian.org/debian buster/main amd64 libminizip1 amd64 1.1-8+b1 [20.4 kB] Get: 380 http://deb.debian.org/debian buster/main amd64 liburiparser1 amd64 0.9.1-1 [47.8 kB] Get: 381 http://deb.debian.org/debian buster/main amd64 libkmlbase1 amd64 1.3.0-7 [48.9 kB] Get: 382 http://deb.debian.org/debian buster/main amd64 libkmldom1 amd64 1.3.0-7 [172 kB] Get: 383 http://deb.debian.org/debian buster/main amd64 libkmlengine1 amd64 1.3.0-7 [78.4 kB] Get: 384 http://deb.debian.org/debian buster/main amd64 libkmlconvenience1 amd64 1.3.0-7 [50.1 kB] Get: 385 http://deb.debian.org/debian buster/main amd64 libkmlregionator1 amd64 1.3.0-7 [25.1 kB] Get: 386 http://deb.debian.org/debian buster/main amd64 libkmlxsd1 amd64 1.3.0-7 [34.6 kB] Get: 387 http://deb.debian.org/debian buster/main amd64 mysql-common all 5.8+1.0.5 [7324 B] Get: 388 http://deb.debian.org/debian buster/main amd64 mariadb-common all 1:10.3.31-0+deb10u1 [32.7 kB] Get: 389 http://deb.debian.org/debian buster/main amd64 libmariadb3 amd64 1:10.3.31-0+deb10u1 [173 kB] Get: 390 http://deb.debian.org/debian buster/main amd64 libnetcdf13 amd64 1:4.6.2-1 [403 kB] Get: 391 http://deb.debian.org/debian buster/main amd64 libodbc1 amd64 2.3.6-0.1 [223 kB] Get: 392 http://deb.debian.org/debian buster/main amd64 libogdi3.2 amd64 3.2.1+ds-4 [241 kB] Get: 393 http://deb.debian.org/debian buster/main amd64 libnspr4 amd64 2:4.20-1 [112 kB] Get: 394 http://deb.debian.org/debian buster/main amd64 libnss3 amd64 2:3.42.1-1+deb10u3 [1159 kB] Get: 395 http://deb.debian.org/debian buster/main amd64 libpoppler82 amd64 0.71.0-5 [1507 kB] Get: 396 http://deb.debian.org/debian buster/main amd64 libpq5 amd64 11.13-0+deb10u1 [170 kB] Get: 397 http://deb.debian.org/debian buster/main amd64 libqhull7 amd64 2015.2-4 [196 kB] Get: 398 http://deb.debian.org/debian buster/main amd64 libspatialite7 amd64 4.3.0a-5+b2 [1256 kB] Get: 399 http://deb.debian.org/debian buster/main amd64 libxerces-c3.2 amd64 3.2.2+debian-1+deb10u1 [886 kB] Get: 400 http://deb.debian.org/debian buster/main amd64 odbcinst amd64 2.3.6-0.1 [48.4 kB] Get: 401 http://deb.debian.org/debian buster/main amd64 odbcinst1debian2 amd64 2.3.6-0.1 [78.1 kB] Get: 402 http://deb.debian.org/debian buster/main amd64 libgdal20 amd64 2.4.0+dfsg-1+b1 [6171 kB] Get: 403 http://deb.debian.org/debian buster/main amd64 libsocket++1 amd64 1.12.13-10 [42.1 kB] Get: 404 http://deb.debian.org/debian buster/main amd64 libgdcm2.8 amd64 2.8.8-9 [1834 kB] Get: 405 http://deb.debian.org/debian buster/main amd64 libgdcm2-dev amd64 2.8.8-9 [262 kB] Get: 406 http://deb.debian.org/debian buster/main amd64 libgflags2.2 amd64 2.2.2-1 [76.7 kB] Get: 407 http://deb.debian.org/debian buster/main amd64 libgflags-dev amd64 2.2.2-1 [93.6 kB] Get: 408 http://deb.debian.org/debian buster/main amd64 libglapi-mesa amd64 18.3.6-2+deb10u1 [66.3 kB] Get: 409 http://deb.debian.org/debian buster/main amd64 libllvm7 amd64 1:7.0.1-8+deb10u2 [13.1 MB] Get: 410 http://deb.debian.org/debian buster/main amd64 libsensors-config all 1:3.5.0-3 [31.6 kB] Get: 411 http://deb.debian.org/debian buster/main amd64 libsensors5 amd64 1:3.5.0-3 [52.6 kB] Get: 412 http://deb.debian.org/debian buster/main amd64 libgl1-mesa-dri amd64 18.3.6-2+deb10u1 [6685 kB] Get: 413 http://deb.debian.org/debian buster/main amd64 libglvnd0 amd64 1.1.0-1 [48.6 kB] Get: 414 http://deb.debian.org/debian buster/main amd64 libx11-xcb1 amd64 2:1.6.7-1+deb10u2 [191 kB] Get: 415 http://deb.debian.org/debian buster/main amd64 libxcb-dri2-0 amd64 1.13.1-2 [101 kB] Get: 416 http://deb.debian.org/debian buster/main amd64 libxcb-dri3-0 amd64 1.13.1-2 [100 kB] Get: 417 http://deb.debian.org/debian buster/main amd64 libxcb-glx0 amd64 1.13.1-2 [116 kB] Get: 418 http://deb.debian.org/debian buster/main amd64 libxcb-present0 amd64 1.13.1-2 [99.1 kB] Get: 419 http://deb.debian.org/debian buster/main amd64 libxcb-sync1 amd64 1.13.1-2 [103 kB] Get: 420 http://deb.debian.org/debian buster/main amd64 libxdamage1 amd64 1:1.1.4-3+b3 [14.9 kB] Get: 421 http://deb.debian.org/debian buster/main amd64 libxshmfence1 amd64 1.3-1 [8820 B] Get: 422 http://deb.debian.org/debian buster/main amd64 libxxf86vm1 amd64 1:1.1.4-1+b2 [20.8 kB] Get: 423 http://deb.debian.org/debian buster/main amd64 libglx-mesa0 amd64 18.3.6-2+deb10u1 [180 kB] Get: 424 http://deb.debian.org/debian buster/main amd64 libglx0 amd64 1.1.0-1 [30.0 kB] Get: 425 http://deb.debian.org/debian buster/main amd64 libgl1 amd64 1.1.0-1 [91.1 kB] Get: 426 http://deb.debian.org/debian buster/main amd64 libgl2ps1.4 amd64 1.4.0+dfsg1-2 [39.0 kB] Get: 427 http://deb.debian.org/debian buster/main amd64 libglu1-mesa amd64 9.0.0-2.1+b3 [169 kB] Get: 428 http://deb.debian.org/debian buster/main amd64 libunwind8 amd64 1.2.1-10~deb10u1 [51.1 kB] Get: 429 http://deb.debian.org/debian buster/main amd64 libgoogle-glog0v5 amd64 0.3.5-1 [52.9 kB] Get: 430 http://deb.debian.org/debian buster/main amd64 libgoogle-glog-dev amd64 0.3.5-1 [77.1 kB] Get: 431 http://deb.debian.org/debian buster/main amd64 libgphoto2-port12 amd64 2.5.22-3 [118 kB] Get: 432 http://deb.debian.org/debian buster/main amd64 libgphoto2-6 amd64 2.5.22-3 [895 kB] Get: 433 http://deb.debian.org/debian buster/main amd64 pkg-config amd64 0.29-6 [63.5 kB] Get: 434 http://deb.debian.org/debian buster/main amd64 libgphoto2-dev amd64 2.5.22-3 [877 kB] Get: 435 http://deb.debian.org/debian buster/main amd64 libjson-glib-1.0-common all 1.4.4-2 [52.3 kB] Get: 436 http://deb.debian.org/debian buster/main amd64 libjson-glib-1.0-0 amd64 1.4.4-2 [61.2 kB] Get: 437 http://deb.debian.org/debian buster/main amd64 libsoup2.4-1 amd64 2.64.2-2 [253 kB] Get: 438 http://deb.debian.org/debian buster/main amd64 libsoup-gnome2.4-1 amd64 2.64.2-2 [18.0 kB] Get: 439 http://deb.debian.org/debian buster/main amd64 librest-0.7-0 amd64 0.8.1-1 [33.7 kB] Get: 440 http://deb.debian.org/debian buster/main amd64 libwayland-client0 amd64 1.16.0-1 [26.4 kB] Get: 441 http://deb.debian.org/debian buster/main amd64 libwayland-cursor0 amd64 1.16.0-1 [14.1 kB] Get: 442 http://deb.debian.org/debian buster/main amd64 libwayland-egl1 amd64 1.16.0-1 [8204 B] Get: 443 http://deb.debian.org/debian buster/main amd64 libxcomposite1 amd64 1:0.4.4-2 [16.5 kB] Get: 444 http://deb.debian.org/debian buster/main amd64 libxcursor1 amd64 1:1.1.15-2 [36.6 kB] Get: 445 http://deb.debian.org/debian buster/main amd64 libxinerama1 amd64 2:1.1.4-2 [17.7 kB] Get: 446 http://deb.debian.org/debian buster/main amd64 xkb-data all 2.26-2 [681 kB] Get: 447 http://deb.debian.org/debian buster/main amd64 libxkbcommon0 amd64 0.8.2-1 [123 kB] Get: 448 http://deb.debian.org/debian buster/main amd64 libxrandr2 amd64 2:1.5.1-1 [37.5 kB] Get: 449 http://deb.debian.org/debian buster/main amd64 libgtk-3-common all 3.24.5-1 [3678 kB] Get: 450 http://deb.debian.org/debian buster/main amd64 libgtk-3-0 amd64 3.24.5-1 [2580 kB] Get: 451 http://deb.debian.org/debian buster/main amd64 libhdf5-cpp-103 amd64 1.10.4+repack-10 [146 kB] Get: 452 http://deb.debian.org/debian buster/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-1 [214 kB] Get: 453 http://deb.debian.org/debian buster/main amd64 libjpeg62-turbo-dev amd64 1:1.5.2-2+deb10u1 [208 kB] Get: 454 http://deb.debian.org/debian buster/main amd64 libjpeg-dev all 1:1.5.2-2+deb10u1 [57.7 kB] Get: 455 http://deb.debian.org/debian buster/main amd64 libhdf5-dev amd64 1.10.4+repack-10 [2598 kB] Get: 456 http://deb.debian.org/debian buster/main amd64 libhwloc5 amd64 1.11.12-3 [111 kB] Get: 457 http://deb.debian.org/debian buster/main amd64 ocl-icd-libopencl1 amd64 2.2.12-2 [37.5 kB] Get: 458 http://deb.debian.org/debian buster/main amd64 libhwloc-plugins amd64 1.11.12-3 [17.4 kB] Get: 459 http://deb.debian.org/debian buster/main amd64 libpmix2 amd64 3.1.2-3 [498 kB] Get: 460 http://deb.debian.org/debian buster/main amd64 libopenmpi3 amd64 3.1.3-11 [2191 kB] Get: 461 http://deb.debian.org/debian buster/main amd64 libhdf5-openmpi-103 amd64 1.10.4+repack-10 [1373 kB] Get: 462 http://deb.debian.org/debian buster/main amd64 libilmbase23 amd64 2.2.1-2 [85.6 kB] Get: 463 http://deb.debian.org/debian buster/main amd64 libilmbase-dev amd64 2.2.1-2 [76.7 kB] Get: 464 http://deb.debian.org/debian buster/main amd64 libimagequant0 amd64 2.12.2-1.1 [32.5 kB] Get: 465 http://deb.debian.org/debian buster/main amd64 libjbig-dev amd64 2.1-3.1+b2 [30.5 kB] Get: 466 http://deb.debian.org/debian buster/main amd64 libjs-jquery all 3.3.1~dfsg-3+deb10u1 [332 kB] Get: 467 http://deb.debian.org/debian buster/main amd64 libjs-jquery-ui all 1.12.1+dfsg-5 [232 kB] Get: 468 http://deb.debian.org/debian buster/main amd64 liblept5 amd64 1.76.0-1 [940 kB] Get: 469 http://deb.debian.org/debian buster/main amd64 libleveldb1d amd64 1.20-2.1 [137 kB] Get: 470 http://deb.debian.org/debian buster/main amd64 libleveldb-dev amd64 1.20-2.1 [182 kB] Get: 471 http://deb.debian.org/debian buster/main amd64 liblmdb0 amd64 0.9.22-1 [45.0 kB] Get: 472 http://deb.debian.org/debian buster/main amd64 liblmdb-dev amd64 0.9.22-1 [60.9 kB] Get: 473 http://deb.debian.org/debian buster/main amd64 liblzma-dev amd64 5.2.4-1 [210 kB] Get: 474 http://deb.debian.org/debian buster/main amd64 libnetcdf-c++4 amd64 4.2-11 [34.6 kB] Get: 475 http://deb.debian.org/debian buster/main amd64 libtbb2 amd64 2018~U6-4 [147 kB] Get: 476 http://deb.debian.org/debian buster/main amd64 libopencv-core3.2 amd64 3.2.0+dfsg-6 [726 kB] Get: 477 http://deb.debian.org/debian buster/main amd64 libopencv-flann3.2 amd64 3.2.0+dfsg-6 [106 kB] Get: 478 http://deb.debian.org/debian buster/main amd64 libopencv-imgproc3.2 amd64 3.2.0+dfsg-6 [830 kB] Get: 479 http://deb.debian.org/debian buster/main amd64 libopenexr23 amd64 2.2.1-4.1+deb10u1 [592 kB] Get: 480 http://deb.debian.org/debian buster/main amd64 libopencv-imgcodecs3.2 amd64 3.2.0+dfsg-6 [99.1 kB] Get: 481 http://deb.debian.org/debian buster/main amd64 libswscale5 amd64 7:4.1.6-1~deb10u1 [202 kB] Get: 482 http://deb.debian.org/debian buster/main amd64 libopencv-videoio3.2 amd64 3.2.0+dfsg-6 [94.1 kB] Get: 483 http://deb.debian.org/debian buster/main amd64 libopencv-highgui3.2 amd64 3.2.0+dfsg-6 [34.0 kB] Get: 484 http://deb.debian.org/debian buster/main amd64 libopencv-ml3.2 amd64 3.2.0+dfsg-6 [234 kB] Get: 485 http://deb.debian.org/debian buster/main amd64 libopencv-features2d3.2 amd64 3.2.0+dfsg-6 [242 kB] Get: 486 http://deb.debian.org/debian buster/main amd64 libopencv-calib3d3.2 amd64 3.2.0+dfsg-6 [441 kB] Get: 487 http://deb.debian.org/debian buster/main amd64 libtbb-dev amd64 2018~U6-4 [286 kB] Get: 488 http://deb.debian.org/debian buster/main amd64 libopencv-core-dev amd64 3.2.0+dfsg-6 [1184 kB] Get: 489 http://deb.debian.org/debian buster/main amd64 libopencv-flann-dev amd64 3.2.0+dfsg-6 [177 kB] Get: 490 http://deb.debian.org/debian buster/main amd64 libopencv-imgproc-dev amd64 3.2.0+dfsg-6 [1077 kB] Get: 491 http://deb.debian.org/debian buster/main amd64 libopencv-imgcodecs-dev amd64 3.2.0+dfsg-6 [153 kB] Get: 492 http://deb.debian.org/debian buster/main amd64 libopencv-videoio-dev amd64 3.2.0+dfsg-6 [135 kB] Get: 493 http://deb.debian.org/debian buster/main amd64 libopenexr-dev amd64 2.2.1-4.1+deb10u1 [729 kB] Get: 494 http://deb.debian.org/debian buster/main amd64 libpng-dev amd64 1.6.36-6 [300 kB] Get: 495 http://deb.debian.org/debian buster/main amd64 libswscale-dev amd64 7:4.1.6-1~deb10u1 [220 kB] Get: 496 http://deb.debian.org/debian buster/main amd64 libtiffxx5 amd64 4.1.0+git191117-2~deb10u2 [117 kB] Get: 497 http://deb.debian.org/debian buster/main amd64 libtiff-dev amd64 4.1.0+git191117-2~deb10u2 [394 kB] Get: 498 http://deb.debian.org/debian buster/main amd64 libopencv-highgui-dev amd64 3.2.0+dfsg-6 [47.7 kB] Get: 499 http://deb.debian.org/debian buster/main amd64 libopencv-ml-dev amd64 3.2.0+dfsg-6 [309 kB] Get: 500 http://deb.debian.org/debian buster/main amd64 libopencv-features2d-dev amd64 3.2.0+dfsg-6 [314 kB] Get: 501 http://deb.debian.org/debian buster/main amd64 libopencv-calib3d-dev amd64 3.2.0+dfsg-6 [545 kB] Get: 502 http://deb.debian.org/debian buster/main amd64 libopencv-objdetect3.2 amd64 3.2.0+dfsg-6 [151 kB] Get: 503 http://deb.debian.org/debian buster/main amd64 libopencv-photo3.2 amd64 3.2.0+dfsg-6 [199 kB] Get: 504 http://deb.debian.org/debian buster/main amd64 libopencv-video3.2 amd64 3.2.0+dfsg-6 [136 kB] Get: 505 http://deb.debian.org/debian buster/main amd64 libopencv-shape3.2 amd64 3.2.0+dfsg-6 [72.3 kB] Get: 506 http://deb.debian.org/debian buster/main amd64 libopencv-stitching3.2 amd64 3.2.0+dfsg-6 [179 kB] Get: 507 http://deb.debian.org/debian buster/main amd64 libopencv-superres3.2 amd64 3.2.0+dfsg-6 [57.3 kB] Get: 508 http://deb.debian.org/debian buster/main amd64 libopencv-videostab3.2 amd64 3.2.0+dfsg-6 [110 kB] Get: 509 http://deb.debian.org/debian buster/main amd64 libtcl8.6 amd64 8.6.9+dfsg-2 [1005 kB] Get: 510 http://deb.debian.org/debian buster/main amd64 libxft2 amd64 2.3.2-2 [57.2 kB] Get: 511 http://deb.debian.org/debian buster/main amd64 libxss1 amd64 1:1.2.3-1 [17.8 kB] Get: 512 http://deb.debian.org/debian buster/main amd64 libtk8.6 amd64 8.6.9-2 [768 kB] Get: 513 http://deb.debian.org/debian buster/main amd64 libvtk6.3 amd64 6.3.0+dfsg2-2+b5 [32.5 MB] Get: 514 http://deb.debian.org/debian buster/main amd64 libopencv-viz3.2 amd64 3.2.0+dfsg-6 [128 kB] Get: 515 http://deb.debian.org/debian buster/main amd64 libtesseract4 amd64 4.0.0-2 [1234 kB] Get: 516 http://deb.debian.org/debian buster/main amd64 libopencv-contrib3.2 amd64 3.2.0+dfsg-6 [1469 kB] Get: 517 http://deb.debian.org/debian buster/main amd64 libopencv-objdetect-dev amd64 3.2.0+dfsg-6 [185 kB] Get: 518 http://deb.debian.org/debian buster/main amd64 libopencv-photo-dev amd64 3.2.0+dfsg-6 [247 kB] Get: 519 http://deb.debian.org/debian buster/main amd64 libopencv-video-dev amd64 3.2.0+dfsg-6 [172 kB] Get: 520 http://deb.debian.org/debian buster/main amd64 libopencv-shape-dev amd64 3.2.0+dfsg-6 [93.2 kB] Get: 521 http://deb.debian.org/debian buster/main amd64 libopencv-stitching-dev amd64 3.2.0+dfsg-6 [235 kB] Get: 522 http://deb.debian.org/debian buster/main amd64 libopencv-superres-dev amd64 3.2.0+dfsg-6 [74.1 kB] Get: 523 http://deb.debian.org/debian buster/main amd64 libopencv-videostab-dev amd64 3.2.0+dfsg-6 [144 kB] Get: 524 http://deb.debian.org/debian buster/main amd64 libopencv-viz-dev amd64 3.2.0+dfsg-6 [173 kB] Get: 525 http://deb.debian.org/debian buster/main amd64 libopencv-contrib-dev amd64 3.2.0+dfsg-6 [2735 kB] Get: 526 http://deb.debian.org/debian buster/main amd64 libopencv-ts-dev amd64 3.2.0+dfsg-6 [299 kB] Get: 527 http://deb.debian.org/debian buster/main amd64 libopencv3.2-jni amd64 3.2.0+dfsg-6 [213 kB] Get: 528 http://deb.debian.org/debian buster/main amd64 libopencv3.2-java all 3.2.0+dfsg-6 [401 kB] Get: 529 http://deb.debian.org/debian buster/main amd64 libopencv-dev amd64 3.2.0+dfsg-6 [240 kB] Get: 530 http://deb.debian.org/debian buster/main amd64 libprotobuf17 amd64 3.6.1.3-2 [814 kB] Get: 531 http://deb.debian.org/debian buster/main amd64 libprotobuf-lite17 amd64 3.6.1.3-2 [167 kB] Get: 532 http://deb.debian.org/debian buster/main amd64 libprotobuf-dev amd64 3.6.1.3-2 [1130 kB] Get: 533 http://deb.debian.org/debian buster/main amd64 libprotoc17 amd64 3.6.1.3-2 [665 kB] Get: 534 http://deb.debian.org/debian buster/main amd64 libprotoc-dev amd64 3.6.1.3-2 [775 kB] Get: 535 http://deb.debian.org/debian buster/main amd64 libsnappy-dev amd64 1.1.7-1 [29.2 kB] Get: 536 http://deb.debian.org/debian buster/main amd64 libwebpdemux2 amd64 0.6.1-2+deb10u1 [87.6 kB] Get: 537 http://deb.debian.org/debian buster/main amd64 libyaml-0-2 amd64 0.2.1-1 [47.2 kB] Get: 538 http://deb.debian.org/debian buster/main amd64 protobuf-compiler amd64 3.6.1.3-2 [64.9 kB] Get: 539 http://deb.debian.org/debian buster/main amd64 python-matplotlib-data all 3.0.2-2 [4138 kB] Get: 540 http://deb.debian.org/debian buster/main amd64 python3-cloudpickle all 0.8.0-1 [16.5 kB] Get: 541 http://deb.debian.org/debian buster/main amd64 python3-cycler all 0.10.0-1 [7556 B] Get: 542 http://deb.debian.org/debian buster/main amd64 python3-dateutil all 2.7.3-3 [64.5 kB] Get: 543 http://deb.debian.org/debian buster/main amd64 python3-gflags all 1.5.1-5 [36.3 kB] Get: 544 http://deb.debian.org/debian buster/main amd64 python3-numpy amd64 1:1.16.2-1 [2119 kB] Get: 545 http://deb.debian.org/debian buster/main amd64 python3-h5py amd64 2.8.0-3 [1015 kB] Get: 546 http://deb.debian.org/debian buster/main amd64 python3-kiwisolver amd64 1.0.1-2+b1 [65.4 kB] Get: 547 http://deb.debian.org/debian buster/main amd64 python3-leveldb amd64 0~svn68-3+b3 [18.9 kB] Get: 548 http://deb.debian.org/debian buster/main amd64 python3-pyparsing all 2.2.0+dfsg1-2 [89.6 kB] Get: 549 http://deb.debian.org/debian buster/main amd64 python3-matplotlib amd64 3.0.2-2 [5353 kB] Get: 550 http://deb.debian.org/debian buster/main amd64 python3-networkx all 2.2-1 [818 kB] Get: 551 http://deb.debian.org/debian buster/main amd64 python3-nose all 1.3.7-4 [132 kB] Get: 552 http://deb.debian.org/debian buster/main amd64 python3-tz all 2019.1-1 [27.1 kB] Get: 553 http://deb.debian.org/debian buster/main amd64 python3-pandas-lib amd64 0.23.3+dfsg-3 [3475 kB] Get: 554 http://deb.debian.org/debian buster/main amd64 python3-pandas all 0.23.3+dfsg-3 [1750 kB] Get: 555 http://deb.debian.org/debian buster/main amd64 python3-pil amd64 5.4.1-2+deb10u2 [395 kB] Get: 556 http://deb.debian.org/debian buster/main amd64 python3-protobuf amd64 3.6.1.3-2 [334 kB] Get: 557 http://deb.debian.org/debian buster/main amd64 python3-pydotplus all 2.0.2-2 [20.2 kB] Get: 558 http://deb.debian.org/debian buster/main amd64 python3-pywt amd64 0.5.1-1.1+b3 [1099 kB] Get: 559 http://deb.debian.org/debian buster/main amd64 python3-scipy amd64 1.1.0-7 [10.0 MB] Get: 560 http://deb.debian.org/debian buster/main amd64 python3-skimage-lib amd64 0.14.2-2 [1726 kB] Get: 561 http://deb.debian.org/debian buster/main amd64 python3-skimage all 0.14.2-2 [19.9 MB] Get: 562 http://deb.debian.org/debian buster/main amd64 python3-yaml amd64 3.13-2 [121 kB] Fetched 546 MB in 11s (49.9 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 ... 19195 files and directories currently installed.) Preparing to unpack .../00-libapparmor1_2.13.2-10_amd64.deb ... Unpacking libapparmor1:amd64 (2.13.2-10) ... Selecting previously unselected package libcap2:amd64. Preparing to unpack .../01-libcap2_1%3a2.25-2_amd64.deb ... Unpacking libcap2:amd64 (1:2.25-2) ... Selecting previously unselected package libargon2-1:amd64. Preparing to unpack .../02-libargon2-1_0~20171227-0.2_amd64.deb ... Unpacking libargon2-1:amd64 (0~20171227-0.2) ... Selecting previously unselected package dmsetup. Preparing to unpack .../03-dmsetup_2%3a1.02.155-3_amd64.deb ... Unpacking dmsetup (2:1.02.155-3) ... Selecting previously unselected package libdevmapper1.02.1:amd64. Preparing to unpack .../04-libdevmapper1.02.1_2%3a1.02.155-3_amd64.deb ... Unpacking libdevmapper1.02.1:amd64 (2:1.02.155-3) ... Selecting previously unselected package libjson-c3:amd64. Preparing to unpack .../05-libjson-c3_0.12.1+ds-2+deb10u1_amd64.deb ... Unpacking libjson-c3:amd64 (0.12.1+ds-2+deb10u1) ... Selecting previously unselected package libssl1.1:amd64. Preparing to unpack .../06-libssl1.1_1.1.1d-0+deb10u7_amd64.deb ... Unpacking libssl1.1:amd64 (1.1.1d-0+deb10u7) ... Selecting previously unselected package libcryptsetup12:amd64. Preparing to unpack .../07-libcryptsetup12_2%3a2.1.0-5+deb10u2_amd64.deb ... Unpacking libcryptsetup12:amd64 (2:2.1.0-5+deb10u2) ... Selecting previously unselected package libidn11:amd64. Preparing to unpack .../08-libidn11_1.33-2.2_amd64.deb ... Unpacking libidn11:amd64 (1.33-2.2) ... Selecting previously unselected package libip4tc0:amd64. Preparing to unpack .../09-libip4tc0_1.8.2-4_amd64.deb ... Unpacking libip4tc0:amd64 (1.8.2-4) ... Selecting previously unselected package libkmod2:amd64. Preparing to unpack .../10-libkmod2_26-1_amd64.deb ... Unpacking libkmod2:amd64 (26-1) ... Selecting previously unselected package systemd. Preparing to unpack .../11-systemd_241-7~deb10u8_amd64.deb ... Unpacking systemd (241-7~deb10u8) ... Setting up libapparmor1:amd64 (2.13.2-10) ... Setting up libcap2:amd64 (1:2.25-2) ... Setting up libargon2-1:amd64 (0~20171227-0.2) ... Setting up libjson-c3:amd64 (0.12.1+ds-2+deb10u1) ... Setting up libssl1.1:amd64 (1.1.1d-0+deb10u7) ... Setting up libidn11:amd64 (1.33-2.2) ... Setting up libip4tc0:amd64 (1.8.2-4) ... Setting up libkmod2:amd64 (26-1) ... Setting up libdevmapper1.02.1:amd64 (2:1.02.155-3) ... Setting up libcryptsetup12:amd64 (2:2.1.0-5+deb10u2) ... Setting up systemd (241-7~deb10u8) ... Created symlink /etc/systemd/system/getty.target.wants/getty@tty1.service -> /lib/systemd/system/getty@.service. Created symlink /etc/systemd/system/multi-user.target.wants/remote-fs.target -> /lib/systemd/system/remote-fs.target. Created symlink /etc/systemd/system/dbus-org.freedesktop.timesync1.service -> /lib/systemd/system/systemd-timesyncd.service. Created symlink /etc/systemd/system/sysinit.target.wants/systemd-timesyncd.service -> /lib/systemd/system/systemd-timesyncd.service. Initializing machine ID from KVM UUID. Setting up dmsetup (2:1.02.155-3) ... Selecting previously unselected package systemd-sysv. (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 ... 20050 files and directories currently installed.) Preparing to unpack .../00-systemd-sysv_241-7~deb10u8_amd64.deb ... Unpacking systemd-sysv (241-7~deb10u8) ... Selecting previously unselected package libbsd0:amd64. Preparing to unpack .../01-libbsd0_0.9.1-2+deb10u1_amd64.deb ... Unpacking libbsd0:amd64 (0.9.1-2+deb10u1) ... Selecting previously unselected package bsdmainutils. Preparing to unpack .../02-bsdmainutils_11.1.2+b1_amd64.deb ... Unpacking bsdmainutils (11.1.2+b1) ... Selecting previously unselected package libuchardet0:amd64. Preparing to unpack .../03-libuchardet0_0.0.6-3_amd64.deb ... Unpacking libuchardet0:amd64 (0.0.6-3) ... Selecting previously unselected package groff-base. Preparing to unpack .../04-groff-base_1.22.4-3+deb10u1_amd64.deb ... Unpacking groff-base (1.22.4-3+deb10u1) ... Selecting previously unselected package libpipeline1:amd64. Preparing to unpack .../05-libpipeline1_1.5.1-2_amd64.deb ... Unpacking libpipeline1:amd64 (1.5.1-2) ... Selecting previously unselected package man-db. Preparing to unpack .../06-man-db_2.8.5-2_amd64.deb ... Unpacking man-db (2.8.5-2) ... Selecting previously unselected package libpython2.7-minimal:amd64. Preparing to unpack .../07-libpython2.7-minimal_2.7.16-2+deb10u1_amd64.deb ... Unpacking libpython2.7-minimal:amd64 (2.7.16-2+deb10u1) ... Selecting previously unselected package python2.7-minimal. 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Setting up texlive-binaries (2018.20181218.49446-1) ... 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 libavcodec58:amd64 (7:4.1.6-1~deb10u1) ... Setting up ipython3 (5.8.0-1) ... Setting up python3-skimage (0.14.2-2) ... Setting up libglu1-mesa:amd64 (9.0.0-2.1+b3) ... Setting up glib-networking:amd64 (2.58.0-2+deb10u2) ... Setting up libboost-python1.67-dev (1.67.0-13+deb10u1) ... Setting up texlive-base (2018.20190227-2) ... 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/config/pdftexconfig.tex Setting up libchromaprint1:amd64 (1.4.3-3) ... 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Setting up libopencv-videoio-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-superres3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-highgui3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-superres-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-features2d3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-highgui-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-features2d-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-calib3d3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-objdetect3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-calib3d-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-objdetect-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-stitching3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-videostab3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-videostab-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-stitching-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-contrib3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv3.2-jni (3.2.0+dfsg-6) ... Setting up libopencv-contrib-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv3.2-java (3.2.0+dfsg-6) ... Setting up libopencv-dev (3.2.0+dfsg-6) ... Processing triggers for libc-bin (2.28-10) ... Processing triggers for systemd (241-7~deb10u8) ... Processing triggers for libgdk-pixbuf2.0-0:amd64 (2.38.1+dfsg-1) ... Processing triggers for tex-common (6.11) ... 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 (1.23-1). 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+git20180821.99bd997-2_source.changes dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-2 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 \ --buildsystem=cmake \ --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_autoreconf_clean -O--buildsystem=cmake dh_clean -O--buildsystem=cmake debian/rules build dh build \ --buildsystem=cmake \ --with python3,bash-completion dh_update_autotools_config -O--buildsystem=cmake dh_autoreconf -O--buildsystem=cmake 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-cpu-dev.install.in > debian/libcaffe-cpu-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/libcaffe-cpu1.install.in > debian/libcaffe-cpu1.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 -ffile-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 -ffile-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 "-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 -ffile-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 -ffile-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 8.3.0 -- The CXX compiler identification is GNU 8.3.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Looking for pthread_create -- Looking for pthread_create - not found -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Boost version: 1.67.0 -- Found the following Boost libraries: -- system -- thread -- filesystem -- chrono -- date_time -- atomic -- 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 "3.6.1") -- Found PROTOBUF Compiler: /usr/bin/protoc -- HDF5: Using hdf5 compiler wrapper to determine C configuration -- HDF5: Using hdf5 compiler wrapper to determine CXX configuration -- 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 "1.10.4") 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/share/OpenCV) -- 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 "3.7.3", minimum required is "3.0") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.7m.so (found suitable version "3.7.3", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.16.2", minimum required is "1.7.1") -- NumPy ver. 1.16.2 found (include: /usr/lib/python3/dist-packages/numpy/core/include) -- Boost version: 1.67.0 -- Found the following Boost libraries: -- python3 -- Found Git: /usr/bin/git (found version "2.20.1") -- -- ******************* Caffe Configuration Summary ******************* -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -g -O2 -ffile-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 -ffile-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. 1.67) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. 3.6.1) -- lmdb : Yes (ver. 0.9.22) -- LevelDB : Yes (ver. 1.20) -- Snappy : Yes (ver. ..) -- OpenCV : Yes (ver. 3.2.0) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.7.3) -- Libraries : /usr/lib/x86_64-linux-gnu/libpython3.7m.so (ver 3.7.3) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.16.2) -- -- 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 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 /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= 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 -ffile-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= 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/internal_thread.cpp.o [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer_factory.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/absval_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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/layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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/internal_thread.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/internal_thread.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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 cd 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-ffile-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/layers/contrastive_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/contrastive_loss_layer.cpp [ 19%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/conv_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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/layers/conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/conv_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:298:5: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] } 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:298:5: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] [ 19%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/crop_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat 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-D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_conv_layer.cpp [ 21%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_deconv_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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 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CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_pooling_layer.cpp [ 25%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_relu_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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 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CMakeFiles/caffe.dir/layers/cudnn_softmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_softmax_layer.cpp [ 28%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_tanh_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/python3.7m -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/opencv -g -O2 -ffile-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 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/usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.3.2.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.3.2.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.3.2.0 -lblas -lboost_python3 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 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'/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/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' [ 59%] Built target caffe Scanning dependencies of target gtest 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' [ 60%] 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 -ffile-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 [ 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 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/usr/include/opencv -g -O2 -ffile-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 [ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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 [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o [ 63%] 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++ -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/opencv -g -O2 -ffile-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_bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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 [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_blob.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_common.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_caffe_main.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_caffe_main.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_common.cpp [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_concat_layer.cpp.o cd 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/usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-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_pooling_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp [ 87%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_power_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 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-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_protobuf.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_protobuf.cpp [ 88%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_random_number_generator.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall 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src/caffe/test/CMakeFiles/test.testbin.dir/test_solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver.cpp [ 94%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_solver_factory.cpp.o cd 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&& /usr/bin/c++ -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/opencv -g -O2 -ffile-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_split_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp [ 95%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_spp_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE 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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/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-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_stochastic_pooling.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp [ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_syncedmem.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_syncedmem.cpp [ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp [ 97%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_threshold_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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/opencv -g -O2 -ffile-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++ -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/opencv -g -O2 -ffile-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_tile_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tile_layer.cpp [ 98%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_upgrade_proto.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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 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/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/upgrade_net_proto_binary.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/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/convert_imageset.dir/DependInfo.cmake --color= 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/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/extract_features.dir/DependInfo.cmake --color= 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 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--color= 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/convert_mnist_data.dir/DependInfo.cmake --color= make[4]: Entering 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 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/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= Scanning dependencies of target upgrade_solver_proto_text make[4]: Leaving 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 make[4]: Entering 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' make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/build Scanning dependencies of target upgrade_net_proto_text Scanning dependencies of target convert_imageset make[4]: Entering 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' 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' Scanning dependencies of target upgrade_net_proto_binary 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' make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/build make[4]: Entering 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/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/build 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' make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.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 tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/build Scanning dependencies of target classification Scanning dependencies of target convert_cifar_data [ 82%] Building CXX object tools/CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o 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/tools && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/upgrade_solver_proto_text.cpp make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/build Scanning dependencies of target 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-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 python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 84%] Building CXX object tools/CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o make[4]: Leaving 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 [ 84%] Building CXX object tools/CMakeFiles/caffe.bin.dir/caffe.cpp.o [ 84%] 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++ -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/opencv -g -O2 -ffile-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 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -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/opencv -g -O2 -ffile-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_binary.dir/upgrade_net_proto_binary.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/upgrade_net_proto_binary.cpp 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' 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/tools && /usr/bin/c++ -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/opencv -g -O2 -ffile-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/caffe.bin.dir/caffe.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/caffe.cpp [ 85%] 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++ -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/opencv -g -O2 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/usr/lib/x86_64-linux-gnu/libopencv_core.so.3.2.0 -lblas -lboost_python3 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target convert_mnist_siamese_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target compute_image_mean [ 93%] Linking CXX executable mnist/convert_mnist_data cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_mnist_data.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 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make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target classification make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe.bin make[3]: 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[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_auto_build-indep make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' doxygen .Doxyfile # we don't use BUILD_DOC provided by upstream cmake /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp:557: warning: no matching class member found for template < Dtype > const vector< Blob< Dtype > * > & caffe::Net< Dtype >::Forward(const vector< caffe::Blob< Dtype > * > &bottom, Dtype *loss) Possible candidates: const vector< Blob< Dtype > * > & caffe::Net< Dtype >::Forward(Dtype *loss=NULL) const vector< Blob< Dtype > * > & caffe::Net< Dtype >::Forward(const vector< Blob< Dtype > * > &bottom, Dtype *loss=NULL) /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:10: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:26: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:42: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:58: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/data_transformer.hpp:131: warning: argument 'mat_vector' of command @param is not found in the argument list of caffe::DataTransformer< Dtype >::Rand(int n) /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:22: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:23: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:24: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:25: warning: Found unknown command `\tanh' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:27: warning: Found unknown command `\tanh' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:97: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:98: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:99: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:100: warning: Found unknown command `\tanh' 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(./namespaces.tex (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd)) [1] [2] Chapter 2. (./hierarchy.tex [3] [4]) [5] [6] Chapter 3. (./annotated.tex Underfull \hbox (badness 1248) in paragraph at lines 9--9 \T1/phv/m/n/10 Abstract base class that fac-tors out the B[]L[]AS code com-mon to [][]Convolution[]Layer[][] and [7] [8] [9] Underfull \vbox (badness 10000) has occurred while \output is active [10]) [11] [12] Chapter 4. (./namespaceboost.tex) (./namespacecaffe.tex [13] [14] [15] [16] [17] [18] [19] [20] Underfull \hbox (badness 824) in paragraph at lines 562--565 [][] \T1/phv/m/n/10 bool \T1/phv/b/n/10 Upgrade[]V0[]Layer[]Parameter \T1/phv/m /n/10 (const V1[]Layer[]Parameter &v0[]_[]layer[]_[]connection, V1[]Layer[]Para meter [21] [22] [23] [24] [25] [26] [27]) (./namespacecaffe_1_1SolverAction.tex) [28] [29] [30] Chapter 5. 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(./namespaces.tex (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd)) [1] [2] Chapter 2. (./hierarchy.tex [3] [4]) [5] [6] Chapter 3. (./annotated.tex Underfull \hbox (badness 1248) in paragraph at lines 9--9 \T1/phv/m/n/10 Abstract base class that fac-tors out the B[]L[]AS code com-mon to [][]Convolution[]Layer[][] and [7] [8] [9] Underfull \vbox (badness 10000) has occurred while \output is active [10]) [11] [12] Chapter 4. (./namespaceboost.tex) (./namespacecaffe.tex [13] [14] [15] [16] [17] [18] [19] [20] Underfull \hbox (badness 824) in paragraph at lines 562--565 [][] \T1/phv/m/n/10 bool \T1/phv/b/n/10 Upgrade[]V0[]Layer[]Parameter \T1/phv/m /n/10 (const V1[]Layer[]Parameter &v0[]_[]layer[]_[]connection, V1[]Layer[]Para meter [21] [22] [23] [24] [25] [26] [27]) (./namespacecaffe_1_1SolverAction.tex) [28] [29] [30] Chapter 5. 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[266 <./classcaffe_1_1XavierFiller.pdf>]) [267] [268] (./refman.ind [269] [270] [271] [272] [273] [274] [275] [276]) (./refman.aux) LaTeX Font Warning: Some font shapes were not available, defaults substituted. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on refman.pdf (298 pages, 1516943 bytes). 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 -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 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directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' 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 [ 1%] Built target caffeproto 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 -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend [ 2%] Built target gtest 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 95158 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (244 ms) [----------] 1 test from HDF5OutputLayerTest/1 (244 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (196 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (230 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (180 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (219 ms) [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (90 ms) [----------] 5 tests from ImageDataLayerTest/1 (915 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (115 ms) [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (1 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (116 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (5 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (125 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (109 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (128 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (130 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (111 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (1 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (259 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (218 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (1 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [----------] 20 tests from BiasLayerTest/1 (1087 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (121 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (5 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (314 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (1 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (187 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (1 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (144 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (115 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (139 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (130 ms) [----------] 20 tests from BiasLayerTest/0 (1158 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (4 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (4 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (51 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (1 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (59 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (18 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [----------] 8 tests from SliceLayerTest/1 (129 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (4 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (5 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.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (4 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (3 ms) [----------] 10 tests from PowerLayerTest/0 (22 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (190 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (16 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (17 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (95 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (24 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (24 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (33 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (32 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (82 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (521 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) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (161 ms) [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/0 (161 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (86 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (81 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (21 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (17 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (33 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (16 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (81 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (82 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (16 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (16 ms) [----------] 12 tests from NesterovSolverTest/1 (455 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (14 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (14 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (14 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (14 ms) [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (13 ms) [----------] 5 tests from DBTest/1 (69 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (5 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (8 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (2 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (16 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (15 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (6 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (1 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (14 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (2 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (1 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (7 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (13 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (9 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (4 ms) [----------] 14 tests from DataLayerTest/1 (103 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (121 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (120 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (29 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (22 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (40 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (108 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (18 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (98 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (40 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (24 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [----------] 12 tests from SGDSolverTest/1 (630 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (17 ms) [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (27 ms) [----------] 5 tests from EmbedLayerTest/1 (44 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (26 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (21 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (115 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (32 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (21 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (22 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (112 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [----------] 9 tests from AdaGradSolverTest/1 (358 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (21 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (20 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (29 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (27 ms) [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (27 ms) [----------] 5 tests from DBTest/0 (124 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (287 ms) [----------] 3 tests from BatchNormLayerTest/1 (287 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (343 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (350 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (151 ms) [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [----------] 6 tests from MVNLayerTest/1 (845 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill5D [ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (9 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (9 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (9 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (28 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) [----------] 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) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (46 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (45 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (1 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (46 ms) [----------] 6 tests from XavierFillerTest/0 (138 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (131 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (385 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (139 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (235 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (131 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (14 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (161 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (103 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (107 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [----------] 22 tests from ScaleLayerTest/0 (1407 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (402 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (1106 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (2045 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (304 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (668 ms) [----------] 8 tests from Im2colLayerTest/1 (4525 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (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) [----------] 12 tests from DataTransformTest/1 (0 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (17 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (32 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (17 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (81 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (16 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (32 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (81 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (21 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (84 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (389 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (50 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (4163 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (2 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (323 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (327 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (626 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (5 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (53 ms) [----------] 9 tests from LSTMLayerTest/0 (5549 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (4 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (5 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (6 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (3 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) [----------] 10 tests from ConcatLayerTest/0 (18 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (2 ms) [----------] 1 test from LayerFactoryTest/1 (2 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (2 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (21 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (18 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (24 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (95 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (23 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (17 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (90 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [----------] 8 tests from AdamSolverTest/1 (275 ms total) [----------] 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) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (176 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (195 ms) [----------] 9 tests from InnerProductLayerTest/0 (371 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 (338 ms) [----------] 2 tests from SoftmaxLayerTest/1 (338 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (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.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (3 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (1 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (345 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (1448 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (374 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [----------] 11 tests from CropLayerTest/1 (2171 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (0 ms) [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (1 ms) [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (2 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (1 ms) [----------] 4 tests from NetUpgradeTest (4 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 (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (2 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (0 ms) [----------] 9 tests from AccuracyLayerTest/1 (5 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (14 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (78 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (70 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (68 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (18 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (14 ms) [----------] 8 tests from RMSPropSolverTest/1 (269 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (6 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (462 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (781 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (1078 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (26 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (103 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (2 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (27 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (1 ms) [----------] 15 tests from ConvolutionLayerTest/0 (2488 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (305 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (156 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (274 ms) [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (1 ms) [----------] 6 tests from MVNLayerTest/0 (736 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (4 ms) [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [----------] 3 tests from TanHLayerTest/1 (4 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (81 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (81 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (81 ms) [----------] 6 tests from MSRAFillerTest/1 (243 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (1 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (1 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (1 ms) [----------] 20 tests from FilterNetTest (4 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (2 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (1 ms) [----------] 9 tests from AccuracyLayerTest/0 (4 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (140 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (1 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (140 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (281 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [----------] 4 tests from BlobSimpleTest/0 (0 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (23 ms) [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (13 ms) [----------] 2 tests from HDF5DataLayerTest/0 (36 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (11 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (10 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (4 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (5 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (4 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (8 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (11 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (11 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (6 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (11 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (3 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (3 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (4 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (23 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (4 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (3 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (11 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (5 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (5 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (11 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (5 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (5 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (5 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (11 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (2 ms) [----------] 26 tests from IOTest (181 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (3 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (4 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (27 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (4 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (5 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (4 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (4 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (5 ms) [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [----------] 10 tests from EltwiseLayerTest/1 (22 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (489 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (819 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (641 ms) [----------] 8 tests from LRNLayerTest/0 (1949 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) [----------] 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 (0 ms) [----------] 2 tests from EuclideanLossLayerTest/0 (0 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (906 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (245 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (655 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (861 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [----------] 11 tests from PoolingLayerTest/0 (2667 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (0 ms) [----------] 4 tests from UniformFillerTest/0 (0 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill1D [ OK ] GaussianFillerTest/1.TestFill1D (0 ms) [ RUN ] GaussianFillerTest/1.TestFill5D [ OK ] GaussianFillerTest/1.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (0 ms) [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from GaussianFillerTest/1 (1 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (79 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (23 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (15 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (18 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (16 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (84 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (16 ms) [----------] 9 tests from AdaGradSolverTest/0 (258 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1581 ms) [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (1 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (327 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (942 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (2851 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) [----------] 1 test from SolverTypeUpgradeTest (1 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (215 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (181 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (396 ms total) [----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/1.TestGradientL2 [ OK ] HingeLossLayerTest/1.TestGradientL2 (0 ms) [ RUN ] HingeLossLayerTest/1.TestGradientL1 [ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) [----------] 2 tests from HingeLossLayerTest/1 (0 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [----------] 3 tests from BlobMathTest/0 (0 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (139 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (45 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (275 ms) [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (271 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (95 ms) [----------] 5 tests from ImageDataLayerTest/0 (826 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (0 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (0 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (6 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (7 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) [----------] 27 tests from ReductionLayerTest/0 (26 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (3 ms) [----------] 1 test from SolverTest/0 (3 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (6 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (6 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) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (170 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (125 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (109 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (126 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (381 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (403 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (156 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (9 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (1 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (102 ms) [----------] 22 tests from ScaleLayerTest/1 (1583 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (17 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (34 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (25 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (42 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (100 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (97 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (28 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (105 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (17 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (112 ms) [----------] 12 tests from SGDSolverTest/0 (584 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (5 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (142 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (132 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1174 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (236 ms) [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (2 ms) [----------] 6 tests from RNNLayerTest/0 (1691 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/0 (0 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (63 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (66 ms) [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (61 ms) [----------] 6 tests from MSRAFillerTest/0 (190 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (13 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (1 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (16 ms) [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [----------] 5 tests from EmbedLayerTest/0 (30 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (17 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (16 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (33 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (112 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (131 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (82 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (205 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (15 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (16 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (79 ms) [----------] 12 tests from NesterovSolverTest/0 (712 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (1 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (1144 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1566 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1358 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [----------] 8 tests from LRNLayerTest/1 (4070 ms total) [----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/0.TestCreateSolver [ OK ] SolverFactoryTest/0.TestCreateSolver (1 ms) [----------] 1 test from SolverFactoryTest/0 (1 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (7 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 (7 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (2 ms) [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (0 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (46 ms) [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (2 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (2 ms) [----------] 5 tests from MemoryDataLayerTest/1 (52 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (1341 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (310 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (795 ms) [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (1001 ms) [----------] 11 tests from PoolingLayerTest/1 (3447 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (3 ms) [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (3 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (1 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) [----------] 8 tests from SplitLayerInsertionTest (4 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (3060 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [----------] 5 tests from SPPLayerTest/1 (3061 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (3 ms) [----------] 6 tests from FlattenLayerTest/0 (3 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (283 ms) [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [----------] 3 tests from FilterLayerTest/0 (283 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (25 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (8 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (39 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) [----------] 12 tests from ArgMaxLayerTest/0 (79 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (4 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [----------] 10 tests from EltwiseLayerTest/0 (24 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 (12 ms) [----------] 2 tests from BilinearFillerTest/1 (21 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) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (293 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (91 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (258 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (0 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [----------] 7 tests from TileLayerTest/1 (642 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (38 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (10 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (33 ms) [----------] 8 tests from SliceLayerTest/0 (81 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms) [----------] 27 tests from ReductionLayerTest/1 (11 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ 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.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (2 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) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (1 ms) [----------] 3 tests from PaddingLayerUpgradeTest (2 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (1 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (3016 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [----------] 5 tests from SPPLayerTest/0 (3017 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (85 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (16 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (16 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (17 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (23 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (89 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [----------] 8 tests from AdamSolverTest/0 (254 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (2 ms) [----------] 1 test from HDF5OutputLayerTest/0 (2 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (301 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (304 ms) [----------] 5 tests from BenchmarkTest/0 (605 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (80 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (9 ms) [----------] 5 tests from MemoryDataLayerTest/0 (92 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) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (3 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (8 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (14 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (3 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (5 ms) [----------] 10 tests from ConcatLayerTest/1 (30 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (16 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (102 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (17 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (87 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (80 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (23 ms) [----------] 8 tests from RMSPropSolverTest/0 (332 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (53 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (48 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (47 ms) [----------] 6 tests from XavierFillerTest/1 (148 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (0 ms) [----------] 4 tests from GaussianFillerTest/0 (1 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (13 ms) [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (10 ms) [----------] 2 tests from BilinearFillerTest/0 (23 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (2 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (8 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (4 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (9 ms) [----------] 10 tests from PowerLayerTest/1 (31 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (1 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) [----------] 2 tests from HingeLossLayerTest/0 (1 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (213 ms) [----------] 3 tests from BatchNormLayerTest/0 (213 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (14 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (16 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (16 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (46 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (7 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 (7 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (1 ms) [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [----------] 3 tests from BlobMathTest/1 (1 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (0 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (741 ms) [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (358 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (1062 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (291 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (2022 ms) [----------] 8 tests from Im2colLayerTest/0 (4474 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (254 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (236 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (491 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (55 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (56 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (335 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (680 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (4196 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (2 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (5 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (350 ms) [----------] 9 tests from LSTMLayerTest/1 (5679 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (195 ms) [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/0 (195 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (904 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (27 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (579 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (2 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (835 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (24 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (9 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (102 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [----------] 15 tests from ConvolutionLayerTest/1 (2483 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1465 ms) [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (961 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (332 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (2759 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (145 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (3 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (1 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (146 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [----------] 58 tests from NeuronLayerTest/0 (374 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) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (318 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (1 ms) [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (599 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (2014 ms) [----------] 11 tests from CropLayerTest/0 (2932 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 (140 ms) [----------] 2 tests from BatchReindexLayerTest/1 (142 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [ RUN ] ConstantFillerTest/0.TestFill5D [ OK ] ConstantFillerTest/0.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill2D [ OK ] ConstantFillerTest/0.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from ConstantFillerTest/0 (0 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (4 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (1 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (0 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (7 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (1 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (0 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (1 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (1 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (13 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (5 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (0 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (8 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (0 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (7 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (1 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (0 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (5 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (3 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (2 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (0 ms) [----------] 26 tests from NetTest/1 (76 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (6 ms) [----------] 3 tests from TanHLayerTest/0 (11 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (12 ms) [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (20 ms) [----------] 2 tests from InternalThreadTest (32 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (0 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 (2 ms) [----------] 2 tests from InfogainLossLayerTest/0 (2 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) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (301 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (304 ms) [----------] 5 tests from BenchmarkTest/1 (605 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (5 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (11 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (8 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (14 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (4 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (12 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (168 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (142 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (5 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (4 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [----------] 58 tests from NeuronLayerTest/1 (441 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (2 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (4 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (230 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1177 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (123 ms) [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (5 ms) [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (1 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (129 ms) [----------] 6 tests from RNNLayerTest/1 (1665 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (3 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (1 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (51 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (13 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (3 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (4 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (1 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (1 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (28 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (5 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (37 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (10 ms) [----------] 14 tests from DataLayerTest/0 (162 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (346 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (146 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (309 ms) [----------] 7 tests from TileLayerTest/0 (801 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (54 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (35 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (13 ms) [----------] 12 tests from ArgMaxLayerTest/1 (113 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (20 ms) [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (5 ms) [----------] 2 tests from HDF5DataLayerTest/1 (25 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (1 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [----------] 12 tests from DataTransformTest/0 (1 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (328 ms) [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [----------] 3 tests from FilterLayerTest/1 (328 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (1 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (5 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (0 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (0 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (0 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (1 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (0 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (4 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (2 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (2 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (1 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (4 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (1 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (2 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (0 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (3 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (1 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (1 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (3 ms) [----------] 26 tests from NetTest/0 (38 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (81028 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 .../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 I1128 20:30:24.133457 2042758 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I1128 20:30:24.133495 2042758 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I1128 20:30:24.133504 2042758 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I1128 20:30:24.133510 2042758 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I1128 20:30:24.133519 2042758 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" } } I1128 20:30:24.133599 2042758 layer_factory.hpp:77] Creating layer deploy_data I1128 20:30:24.133627 2042758 net.cpp:86] Creating Layer deploy_data I1128 20:30:24.133635 2042758 net.cpp:382] deploy_data -> data I1128 20:30:24.133675 2042758 net.cpp:124] Setting up deploy_data I1128 20:30:24.133692 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.133702 2042758 net.cpp:139] Memory required for data: 400 I1128 20:30:24.133708 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.133716 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.133721 2042758 net.cpp:408] ip <- data I1128 20:30:24.133730 2042758 net.cpp:382] ip -> ip I1128 20:30:24.133770 2042758 net.cpp:124] Setting up ip I1128 20:30:24.133776 2042758 net.cpp:131] Top shape: 1 2 (2) I1128 20:30:24.133781 2042758 net.cpp:139] Memory required for data: 408 I1128 20:30:24.133814 2042758 layer_factory.hpp:77] Creating layer pred I1128 20:30:24.133826 2042758 net.cpp:86] Creating Layer pred I1128 20:30:24.133834 2042758 net.cpp:408] pred <- ip I1128 20:30:24.133848 2042758 net.cpp:382] pred -> pred I1128 20:30:24.133875 2042758 net.cpp:124] Setting up pred I1128 20:30:24.133879 2042758 net.cpp:131] Top shape: 1 2 (2) I1128 20:30:24.133885 2042758 net.cpp:139] Memory required for data: 416 I1128 20:30:24.133890 2042758 net.cpp:202] pred does not need backward computation. I1128 20:30:24.133898 2042758 net.cpp:202] ip does not need backward computation. I1128 20:30:24.133915 2042758 net.cpp:202] deploy_data does not need backward computation. I1128 20:30:24.133919 2042758 net.cpp:244] This network produces output pred I1128 20:30:24.133927 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.135457 2042758 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I1128 20:30:24.135473 2042758 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I1128 20:30:24.135484 2042758 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I1128 20:30:24.135493 2042758 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" } } I1128 20:30:24.135581 2042758 layer_factory.hpp:77] Creating layer train_data I1128 20:30:24.135607 2042758 net.cpp:86] Creating Layer train_data I1128 20:30:24.135617 2042758 net.cpp:382] train_data -> data I1128 20:30:24.135633 2042758 net.cpp:382] train_data -> label I1128 20:30:24.135653 2042758 net.cpp:124] Setting up train_data I1128 20:30:24.135659 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.135668 2042758 net.cpp:131] Top shape: 1 1 1 1 (1) I1128 20:30:24.135677 2042758 net.cpp:139] Memory required for data: 404 I1128 20:30:24.135682 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.135691 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.135697 2042758 net.cpp:408] ip <- data I1128 20:30:24.135707 2042758 net.cpp:382] ip -> ip I1128 20:30:24.135725 2042758 net.cpp:124] Setting up ip I1128 20:30:24.135733 2042758 net.cpp:131] Top shape: 1 2 (2) I1128 20:30:24.135740 2042758 net.cpp:139] Memory required for data: 412 I1128 20:30:24.135754 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.135774 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.135779 2042758 net.cpp:408] loss <- ip I1128 20:30:24.135785 2042758 net.cpp:408] loss <- label I1128 20:30:24.135794 2042758 net.cpp:382] loss -> loss I1128 20:30:24.135818 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.135838 2042758 net.cpp:124] Setting up loss I1128 20:30:24.135843 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.135849 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.135881 2042758 net.cpp:139] Memory required for data: 416 I1128 20:30:24.135887 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.135895 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.135901 2042758 net.cpp:202] train_data does not need backward computation. I1128 20:30:24.135913 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.135926 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.136659 2042758 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I1128 20:30:24.136672 2042758 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I1128 20:30:24.136679 2042758 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I1128 20:30:24.136687 2042758 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I1128 20:30:24.136693 2042758 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" } } I1128 20:30:24.136762 2042758 layer_factory.hpp:77] Creating layer val_data I1128 20:30:24.136775 2042758 net.cpp:86] Creating Layer val_data I1128 20:30:24.136783 2042758 net.cpp:382] val_data -> data I1128 20:30:24.136795 2042758 net.cpp:382] val_data -> label I1128 20:30:24.136811 2042758 net.cpp:124] Setting up val_data I1128 20:30:24.136816 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.136823 2042758 net.cpp:131] Top shape: 1 1 1 1 (1) I1128 20:30:24.136829 2042758 net.cpp:139] Memory required for data: 404 I1128 20:30:24.136834 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.136844 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.136855 2042758 net.cpp:408] ip <- data I1128 20:30:24.136864 2042758 net.cpp:382] ip -> ip I1128 20:30:24.136884 2042758 net.cpp:124] Setting up ip I1128 20:30:24.136891 2042758 net.cpp:131] Top shape: 1 2 (2) I1128 20:30:24.136901 2042758 net.cpp:139] Memory required for data: 412 I1128 20:30:24.136916 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.136924 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.136929 2042758 net.cpp:408] loss <- ip I1128 20:30:24.136934 2042758 net.cpp:408] loss <- label I1128 20:30:24.136940 2042758 net.cpp:382] loss -> loss I1128 20:30:24.136950 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.136965 2042758 net.cpp:124] Setting up loss I1128 20:30:24.136970 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.136973 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.136984 2042758 net.cpp:139] Memory required for data: 416 I1128 20:30:24.136988 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.136993 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.137001 2042758 net.cpp:202] val_data does not need backward computation. I1128 20:30:24.137007 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.137015 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.138283 2042758 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I1128 20:30:24.138305 2042758 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I1128 20:30:24.138314 2042758 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 } } I1128 20:30:24.138430 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.138442 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.138448 2042758 net.cpp:382] data -> data I1128 20:30:24.138466 2042758 net.cpp:124] Setting up data I1128 20:30:24.139189 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.139200 2042758 net.cpp:139] Memory required for data: 400 I1128 20:30:24.139205 2042758 layer_factory.hpp:77] Creating layer data_data_0_split I1128 20:30:24.139217 2042758 net.cpp:86] Creating Layer data_data_0_split I1128 20:30:24.139223 2042758 net.cpp:408] data_data_0_split <- data I1128 20:30:24.139235 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1128 20:30:24.139250 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1128 20:30:24.139261 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1128 20:30:24.139274 2042758 net.cpp:124] Setting up data_data_0_split I1128 20:30:24.139281 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.139288 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.139295 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.139302 2042758 net.cpp:139] Memory required for data: 1600 I1128 20:30:24.139305 2042758 layer_factory.hpp:77] Creating layer NoLevel I1128 20:30:24.139314 2042758 net.cpp:86] Creating Layer NoLevel I1128 20:30:24.139319 2042758 net.cpp:408] NoLevel <- data_data_0_split_0 I1128 20:30:24.139328 2042758 net.cpp:382] NoLevel -> NoLevel I1128 20:30:24.139351 2042758 net.cpp:124] Setting up NoLevel I1128 20:30:24.139358 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.139366 2042758 net.cpp:139] Memory required for data: 1604 I1128 20:30:24.139382 2042758 layer_factory.hpp:77] Creating layer Level0Only I1128 20:30:24.139391 2042758 net.cpp:86] Creating Layer Level0Only I1128 20:30:24.139397 2042758 net.cpp:408] Level0Only <- data_data_0_split_1 I1128 20:30:24.139410 2042758 net.cpp:382] Level0Only -> Level0Only I1128 20:30:24.139436 2042758 net.cpp:124] Setting up Level0Only I1128 20:30:24.139441 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.139451 2042758 net.cpp:139] Memory required for data: 1608 I1128 20:30:24.139459 2042758 layer_factory.hpp:77] Creating layer Level>=0 I1128 20:30:24.139473 2042758 net.cpp:86] Creating Layer Level>=0 I1128 20:30:24.139478 2042758 net.cpp:408] Level>=0 <- data_data_0_split_2 I1128 20:30:24.139487 2042758 net.cpp:382] Level>=0 -> Level>=0 I1128 20:30:24.139501 2042758 net.cpp:124] Setting up Level>=0 I1128 20:30:24.139509 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.139515 2042758 net.cpp:139] Memory required for data: 1612 I1128 20:30:24.139525 2042758 net.cpp:202] Level>=0 does not need backward computation. I1128 20:30:24.139530 2042758 net.cpp:202] Level0Only does not need backward computation. I1128 20:30:24.139535 2042758 net.cpp:202] NoLevel does not need backward computation. I1128 20:30:24.139541 2042758 net.cpp:202] data_data_0_split does not need backward computation. I1128 20:30:24.139547 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.139551 2042758 net.cpp:244] This network produces output Level0Only I1128 20:30:24.139557 2042758 net.cpp:244] This network produces output Level>=0 I1128 20:30:24.139561 2042758 net.cpp:244] This network produces output NoLevel I1128 20:30:24.139575 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.140472 2042758 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I1128 20:30:24.140491 2042758 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 } } I1128 20:30:24.140637 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.140655 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.140663 2042758 net.cpp:382] data -> data I1128 20:30:24.140684 2042758 net.cpp:124] Setting up data I1128 20:30:24.140698 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.140709 2042758 net.cpp:139] Memory required for data: 400 I1128 20:30:24.140717 2042758 layer_factory.hpp:77] Creating layer data_data_0_split I1128 20:30:24.140728 2042758 net.cpp:86] Creating Layer data_data_0_split I1128 20:30:24.140734 2042758 net.cpp:408] data_data_0_split <- data I1128 20:30:24.140745 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1128 20:30:24.140758 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1128 20:30:24.140767 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1128 20:30:24.140779 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_3 I1128 20:30:24.140794 2042758 net.cpp:124] Setting up data_data_0_split I1128 20:30:24.140805 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.140812 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.140820 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.140828 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.140834 2042758 net.cpp:139] Memory required for data: 2000 I1128 20:30:24.140838 2042758 layer_factory.hpp:77] Creating layer NoLevel I1128 20:30:24.140846 2042758 net.cpp:86] Creating Layer NoLevel I1128 20:30:24.140851 2042758 net.cpp:408] NoLevel <- data_data_0_split_0 I1128 20:30:24.140858 2042758 net.cpp:382] NoLevel -> NoLevel I1128 20:30:24.140875 2042758 net.cpp:124] Setting up NoLevel I1128 20:30:24.140880 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.140885 2042758 net.cpp:139] Memory required for data: 2004 I1128 20:30:24.140897 2042758 layer_factory.hpp:77] Creating layer Level1Only I1128 20:30:24.140903 2042758 net.cpp:86] Creating Layer Level1Only I1128 20:30:24.140908 2042758 net.cpp:408] Level1Only <- data_data_0_split_1 I1128 20:30:24.140915 2042758 net.cpp:382] Level1Only -> Level1Only I1128 20:30:24.140929 2042758 net.cpp:124] Setting up Level1Only I1128 20:30:24.140933 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.140939 2042758 net.cpp:139] Memory required for data: 2008 I1128 20:30:24.140947 2042758 layer_factory.hpp:77] Creating layer Level>=0 I1128 20:30:24.140956 2042758 net.cpp:86] Creating Layer Level>=0 I1128 20:30:24.140960 2042758 net.cpp:408] Level>=0 <- data_data_0_split_2 I1128 20:30:24.140969 2042758 net.cpp:382] Level>=0 -> Level>=0 I1128 20:30:24.140981 2042758 net.cpp:124] Setting up Level>=0 I1128 20:30:24.140986 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.140991 2042758 net.cpp:139] Memory required for data: 2012 I1128 20:30:24.141000 2042758 layer_factory.hpp:77] Creating layer Level>=1 I1128 20:30:24.141007 2042758 net.cpp:86] Creating Layer Level>=1 I1128 20:30:24.141011 2042758 net.cpp:408] Level>=1 <- data_data_0_split_3 I1128 20:30:24.141018 2042758 net.cpp:382] Level>=1 -> Level>=1 I1128 20:30:24.141036 2042758 net.cpp:124] Setting up Level>=1 I1128 20:30:24.141039 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.141045 2042758 net.cpp:139] Memory required for data: 2016 I1128 20:30:24.141052 2042758 net.cpp:202] Level>=1 does not need backward computation. I1128 20:30:24.141057 2042758 net.cpp:202] Level>=0 does not need backward computation. I1128 20:30:24.141062 2042758 net.cpp:202] Level1Only does not need backward computation. I1128 20:30:24.141067 2042758 net.cpp:202] NoLevel does not need backward computation. I1128 20:30:24.141072 2042758 net.cpp:202] data_data_0_split does not need backward computation. I1128 20:30:24.141077 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.141080 2042758 net.cpp:244] This network produces output Level1Only I1128 20:30:24.141085 2042758 net.cpp:244] This network produces output Level>=0 I1128 20:30:24.141090 2042758 net.cpp:244] This network produces output Level>=1 I1128 20:30:24.141094 2042758 net.cpp:244] This network produces output NoLevel I1128 20:30:24.141105 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.141988 2042758 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" } I1128 20:30:24.142146 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.142161 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.142171 2042758 net.cpp:382] data -> data I1128 20:30:24.142186 2042758 net.cpp:382] data -> label I1128 20:30:24.142206 2042758 net.cpp:124] Setting up data I1128 20:30:24.142212 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.142225 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.142231 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.142238 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.142271 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.142275 2042758 net.cpp:408] conv <- data I1128 20:30:24.142292 2042758 net.cpp:382] conv -> conv I1128 20:30:24.142397 2042758 net.cpp:124] Setting up conv I1128 20:30:24.142403 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.142410 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.142424 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.142436 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.142443 2042758 net.cpp:408] ip <- conv I1128 20:30:24.142454 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.142623 2042758 net.cpp:124] Setting up ip I1128 20:30:24.142633 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.142645 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.142659 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.142668 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.142673 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.142678 2042758 net.cpp:408] loss <- label I1128 20:30:24.142686 2042758 net.cpp:382] loss -> loss I1128 20:30:24.142700 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.142721 2042758 net.cpp:124] Setting up loss I1128 20:30:24.142726 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.142733 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.142745 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.142750 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.142756 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.142761 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.142766 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.142772 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.142781 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.145946 2042758 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" } I1128 20:30:24.146136 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.146154 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.146167 2042758 net.cpp:382] data -> data I1128 20:30:24.146188 2042758 net.cpp:382] data -> label I1128 20:30:24.146219 2042758 net.cpp:124] Setting up data I1128 20:30:24.146230 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.146243 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.146252 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.146260 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.146272 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.146277 2042758 net.cpp:408] conv <- data I1128 20:30:24.146287 2042758 net.cpp:382] conv -> conv I1128 20:30:24.146330 2042758 net.cpp:124] Setting up conv I1128 20:30:24.146337 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.146344 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.146363 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.146379 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.146389 2042758 net.cpp:408] ip <- conv I1128 20:30:24.146400 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.146570 2042758 net.cpp:124] Setting up ip I1128 20:30:24.146577 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.146584 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.146596 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.146607 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.146615 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.146621 2042758 net.cpp:408] loss <- label I1128 20:30:24.146631 2042758 net.cpp:382] loss -> loss I1128 20:30:24.146646 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.146672 2042758 net.cpp:124] Setting up loss I1128 20:30:24.146682 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.146692 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.146708 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.146718 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.146729 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.146739 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.146746 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.146754 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.146764 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.148820 2042758 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" } I1128 20:30:24.148960 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.148973 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.148981 2042758 net.cpp:382] data -> data I1128 20:30:24.148994 2042758 net.cpp:382] data -> label I1128 20:30:24.149009 2042758 net.cpp:124] Setting up data I1128 20:30:24.149014 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.149021 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.149026 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.149031 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.149044 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.149049 2042758 net.cpp:408] conv <- data I1128 20:30:24.149060 2042758 net.cpp:382] conv -> conv I1128 20:30:24.149098 2042758 net.cpp:124] Setting up conv I1128 20:30:24.149103 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.149113 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.149125 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.149137 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.149140 2042758 net.cpp:408] ip <- conv I1128 20:30:24.149149 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.149842 2042758 net.cpp:124] Setting up ip I1128 20:30:24.149858 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.149868 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.149881 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.149895 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.149904 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.149911 2042758 net.cpp:408] loss <- label I1128 20:30:24.149919 2042758 net.cpp:382] loss -> loss I1128 20:30:24.149935 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.149963 2042758 net.cpp:124] Setting up loss I1128 20:30:24.149969 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.149976 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.149989 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.149994 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.150003 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.150008 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.150015 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.150020 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.150034 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.153182 2042758 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" } I1128 20:30:24.154603 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.154621 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.154629 2042758 net.cpp:382] data -> data I1128 20:30:24.154646 2042758 net.cpp:382] data -> label I1128 20:30:24.154668 2042758 net.cpp:124] Setting up data I1128 20:30:24.154675 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.154685 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.154690 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.154695 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.154708 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.154714 2042758 net.cpp:408] conv <- data I1128 20:30:24.154724 2042758 net.cpp:382] conv -> conv I1128 20:30:24.154765 2042758 net.cpp:124] Setting up conv I1128 20:30:24.154772 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.154780 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.154798 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.154810 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.154816 2042758 net.cpp:408] ip <- conv I1128 20:30:24.154825 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.155025 2042758 net.cpp:124] Setting up ip I1128 20:30:24.155035 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.155045 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.155056 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.155066 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.155071 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.155076 2042758 net.cpp:408] loss <- label I1128 20:30:24.155083 2042758 net.cpp:382] loss -> loss I1128 20:30:24.155097 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.155117 2042758 net.cpp:124] Setting up loss I1128 20:30:24.155122 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.155128 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.155140 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.155145 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.155153 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.155158 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.155164 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.155171 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.155181 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.157265 2042758 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" } I1128 20:30:24.157416 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.157430 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.157446 2042758 net.cpp:382] data -> data I1128 20:30:24.157470 2042758 net.cpp:382] data -> label I1128 20:30:24.157691 2042758 net.cpp:124] Setting up data I1128 20:30:24.157706 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.157714 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.157721 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.157725 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.157740 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.157747 2042758 net.cpp:408] conv <- data I1128 20:30:24.157757 2042758 net.cpp:382] conv -> conv I1128 20:30:24.157794 2042758 net.cpp:124] Setting up conv I1128 20:30:24.157800 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.157806 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.157820 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.157830 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.157835 2042758 net.cpp:408] ip <- conv I1128 20:30:24.157843 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.158003 2042758 net.cpp:124] Setting up ip I1128 20:30:24.158012 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.158021 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.158035 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.158046 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.158052 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.158064 2042758 net.cpp:408] loss <- label I1128 20:30:24.158077 2042758 net.cpp:382] loss -> loss I1128 20:30:24.158093 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.158118 2042758 net.cpp:124] Setting up loss I1128 20:30:24.158124 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.158130 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.158145 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.158151 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.158159 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.158165 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.158172 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.158179 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.158188 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.159276 2042758 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" } I1128 20:30:24.159412 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.159426 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.159435 2042758 net.cpp:382] data -> data I1128 20:30:24.159451 2042758 net.cpp:382] data -> label I1128 20:30:24.159468 2042758 net.cpp:124] Setting up data I1128 20:30:24.159476 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.159483 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.159489 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.159495 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.159508 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.159514 2042758 net.cpp:408] conv <- data I1128 20:30:24.159528 2042758 net.cpp:382] conv -> conv I1128 20:30:24.159566 2042758 net.cpp:124] Setting up conv I1128 20:30:24.159572 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.159579 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.159593 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.159603 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.159610 2042758 net.cpp:408] ip <- conv I1128 20:30:24.159618 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.159786 2042758 net.cpp:124] Setting up ip I1128 20:30:24.159792 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.159799 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.159808 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.159817 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.159823 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.159832 2042758 net.cpp:408] loss <- label I1128 20:30:24.159842 2042758 net.cpp:382] loss -> loss I1128 20:30:24.159857 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.159878 2042758 net.cpp:124] Setting up loss I1128 20:30:24.159883 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.159889 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.159901 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.159906 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.159914 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.159920 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.159926 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.159932 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.159942 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.160892 2042758 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" } I1128 20:30:24.160984 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.160993 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.161000 2042758 net.cpp:382] data -> data I1128 20:30:24.161010 2042758 net.cpp:382] data -> label I1128 20:30:24.161023 2042758 net.cpp:124] Setting up data I1128 20:30:24.161028 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.161034 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.161039 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.161043 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.161052 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.161057 2042758 net.cpp:408] conv <- data I1128 20:30:24.161064 2042758 net.cpp:382] conv -> conv I1128 20:30:24.161092 2042758 net.cpp:124] Setting up conv I1128 20:30:24.161095 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.161100 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.161110 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.161118 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.161124 2042758 net.cpp:408] ip <- conv I1128 20:30:24.161131 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.161907 2042758 net.cpp:124] Setting up ip I1128 20:30:24.161922 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.161931 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.161942 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.161952 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.161958 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.161965 2042758 net.cpp:408] loss <- label I1128 20:30:24.161974 2042758 net.cpp:382] loss -> loss I1128 20:30:24.161991 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.162014 2042758 net.cpp:124] Setting up loss I1128 20:30:24.162019 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.162024 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.162036 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.162041 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.162048 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.162055 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.162060 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.162068 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.162077 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.163362 2042758 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" } I1128 20:30:24.163523 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.163537 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.163547 2042758 net.cpp:382] data -> data I1128 20:30:24.163561 2042758 net.cpp:382] data -> label I1128 20:30:24.163578 2042758 net.cpp:124] Setting up data I1128 20:30:24.163583 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.163590 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.163595 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.163599 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.163610 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.163614 2042758 net.cpp:408] conv <- data I1128 20:30:24.163622 2042758 net.cpp:382] conv -> conv I1128 20:30:24.163652 2042758 net.cpp:124] Setting up conv I1128 20:30:24.163656 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.163661 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.163671 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.163679 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.163683 2042758 net.cpp:408] ip <- conv I1128 20:30:24.163691 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.163836 2042758 net.cpp:124] Setting up ip I1128 20:30:24.163843 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.163849 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.163858 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.163866 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.163872 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.163879 2042758 net.cpp:408] loss <- label I1128 20:30:24.163897 2042758 net.cpp:382] loss -> loss I1128 20:30:24.163911 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.163929 2042758 net.cpp:124] Setting up loss I1128 20:30:24.163935 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.163941 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.163952 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.163957 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.163965 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.163972 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.163981 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.163988 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.164000 2042758 net.cpp:257] Network initialization done. W1128 20:30:24.164777 2042758 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W1128 20:30:24.164786 2042758 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W1128 20:30:24.164790 2042758 _caffe.cpp:142] Net('/tmp/tmpycjbcxh7', 0, weights='/tmp/tmpa2fk2b9q') I1128 20:30:24.165036 2042758 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" } I1128 20:30:24.165163 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.165175 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.165184 2042758 net.cpp:382] data -> data I1128 20:30:24.165488 2042758 net.cpp:382] data -> label I1128 20:30:24.165509 2042758 net.cpp:124] Setting up data I1128 20:30:24.165516 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.165524 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.165531 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.165536 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.165549 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.165555 2042758 net.cpp:408] conv <- data I1128 20:30:24.165565 2042758 net.cpp:382] conv -> conv I1128 20:30:24.165602 2042758 net.cpp:124] Setting up conv I1128 20:30:24.165608 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.165616 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.165629 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.165640 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.165647 2042758 net.cpp:408] ip <- conv I1128 20:30:24.165655 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.165822 2042758 net.cpp:124] Setting up ip I1128 20:30:24.165829 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.165836 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.165846 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.165859 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.165864 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.165871 2042758 net.cpp:408] loss <- label I1128 20:30:24.165880 2042758 net.cpp:382] loss -> loss I1128 20:30:24.165894 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.165915 2042758 net.cpp:124] Setting up loss I1128 20:30:24.165920 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.165926 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.165938 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.165944 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.165951 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.165957 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.165963 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.165969 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.165979 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.167834 2042758 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" } I1128 20:30:24.167958 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.167970 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.167977 2042758 net.cpp:382] data -> data I1128 20:30:24.167989 2042758 net.cpp:382] data -> label I1128 20:30:24.168004 2042758 net.cpp:124] Setting up data I1128 20:30:24.168009 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.168017 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.168023 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.168028 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.168042 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.168048 2042758 net.cpp:408] conv <- data I1128 20:30:24.168056 2042758 net.cpp:382] conv -> conv I1128 20:30:24.168090 2042758 net.cpp:124] Setting up conv I1128 20:30:24.168097 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.168104 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.168120 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.168131 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.168138 2042758 net.cpp:408] ip <- conv I1128 20:30:24.168146 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.168292 2042758 net.cpp:124] Setting up ip I1128 20:30:24.168300 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.168306 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.168316 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.168324 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.168329 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.168334 2042758 net.cpp:408] loss <- label I1128 20:30:24.168339 2042758 net.cpp:382] loss -> loss I1128 20:30:24.168349 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.168362 2042758 net.cpp:124] Setting up loss I1128 20:30:24.168367 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.168372 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.168381 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.168386 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.168392 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.168396 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.168401 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.168406 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.168413 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.170122 2042758 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" } I1128 20:30:24.170300 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.170317 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.170336 2042758 net.cpp:382] data -> data I1128 20:30:24.170352 2042758 net.cpp:382] data -> label I1128 20:30:24.170375 2042758 net.cpp:124] Setting up data I1128 20:30:24.170382 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.170392 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.170400 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.170406 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.170420 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.170428 2042758 net.cpp:408] conv <- data I1128 20:30:24.170440 2042758 net.cpp:382] conv -> conv I1128 20:30:24.170477 2042758 net.cpp:124] Setting up conv I1128 20:30:24.170485 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.170492 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.170508 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.170521 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.170527 2042758 net.cpp:408] ip <- conv I1128 20:30:24.170536 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.170719 2042758 net.cpp:124] Setting up ip I1128 20:30:24.170727 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.170734 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.170743 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.170753 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.170758 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.170764 2042758 net.cpp:408] loss <- label I1128 20:30:24.170773 2042758 net.cpp:382] loss -> loss I1128 20:30:24.170783 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.170804 2042758 net.cpp:124] Setting up loss I1128 20:30:24.170809 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.170816 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.170830 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.170835 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.170842 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.170847 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.170854 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.170859 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.170869 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.173483 2042758 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" } I1128 20:30:24.173642 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.173661 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.173671 2042758 net.cpp:382] data -> data I1128 20:30:24.173688 2042758 net.cpp:382] data -> label I1128 20:30:24.173707 2042758 net.cpp:124] Setting up data I1128 20:30:24.173714 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.173722 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.173732 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.173738 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.173749 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.173755 2042758 net.cpp:408] conv <- data I1128 20:30:24.173764 2042758 net.cpp:382] conv -> conv I1128 20:30:24.173797 2042758 net.cpp:124] Setting up conv I1128 20:30:24.173804 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.173810 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.173825 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.173835 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.173840 2042758 net.cpp:408] ip <- conv I1128 20:30:24.173848 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.174001 2042758 net.cpp:124] Setting up ip I1128 20:30:24.174008 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.174015 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.174024 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.174032 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.174038 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.174043 2042758 net.cpp:408] loss <- label I1128 20:30:24.174050 2042758 net.cpp:382] loss -> loss I1128 20:30:24.174062 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.174078 2042758 net.cpp:124] Setting up loss I1128 20:30:24.174083 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.174089 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.174100 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.174105 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.174111 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.174118 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.174124 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.174131 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.174141 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.175036 2042758 hdf5.cpp:33] Datatype class: H5T_FLOAT .I1128 20:30:24.177390 2042758 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" } I1128 20:30:24.177595 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.177613 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.177625 2042758 net.cpp:382] data -> data I1128 20:30:24.177641 2042758 net.cpp:382] data -> label I1128 20:30:24.177664 2042758 net.cpp:124] Setting up data I1128 20:30:24.177670 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.177681 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.177692 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.177700 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.177713 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.177721 2042758 net.cpp:408] conv <- data I1128 20:30:24.177734 2042758 net.cpp:382] conv -> conv I1128 20:30:24.177776 2042758 net.cpp:124] Setting up conv I1128 20:30:24.177783 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.177793 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.177814 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.177824 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.177831 2042758 net.cpp:408] ip <- conv I1128 20:30:24.177842 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.178045 2042758 net.cpp:124] Setting up ip I1128 20:30:24.178052 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.178061 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.178073 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.178082 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.178088 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.178093 2042758 net.cpp:408] loss <- label I1128 20:30:24.178100 2042758 net.cpp:382] loss -> loss I1128 20:30:24.178115 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.178144 2042758 net.cpp:124] Setting up loss I1128 20:30:24.178149 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.178154 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.178166 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.178170 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.178176 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.178181 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.178186 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.178191 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.178200 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.179294 2042758 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I1128 20:30:24.179309 2042758 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I1128 20:30:24.179317 2042758 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 } } I1128 20:30:24.179416 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.179428 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.179435 2042758 net.cpp:382] data -> data I1128 20:30:24.179453 2042758 net.cpp:124] Setting up data I1128 20:30:24.179459 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.179467 2042758 net.cpp:139] Memory required for data: 400 I1128 20:30:24.179472 2042758 layer_factory.hpp:77] Creating layer data_data_0_split I1128 20:30:24.179481 2042758 net.cpp:86] Creating Layer data_data_0_split I1128 20:30:24.179486 2042758 net.cpp:408] data_data_0_split <- data I1128 20:30:24.179494 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1128 20:30:24.179504 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1128 20:30:24.179514 2042758 net.cpp:124] Setting up data_data_0_split I1128 20:30:24.179522 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.179528 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.179534 2042758 net.cpp:139] Memory required for data: 1200 I1128 20:30:24.179539 2042758 layer_factory.hpp:77] Creating layer A I1128 20:30:24.179548 2042758 net.cpp:86] Creating Layer A I1128 20:30:24.179553 2042758 net.cpp:408] A <- data_data_0_split_0 I1128 20:30:24.179561 2042758 net.cpp:382] A -> A I1128 20:30:24.179577 2042758 net.cpp:124] Setting up A I1128 20:30:24.179582 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.179589 2042758 net.cpp:139] Memory required for data: 1204 I1128 20:30:24.179602 2042758 layer_factory.hpp:77] Creating layer AorB I1128 20:30:24.179611 2042758 net.cpp:86] Creating Layer AorB I1128 20:30:24.179616 2042758 net.cpp:408] AorB <- data_data_0_split_1 I1128 20:30:24.179625 2042758 net.cpp:382] AorB -> AorB I1128 20:30:24.179639 2042758 net.cpp:124] Setting up AorB I1128 20:30:24.179646 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.179651 2042758 net.cpp:139] Memory required for data: 1208 I1128 20:30:24.179659 2042758 net.cpp:202] AorB does not need backward computation. I1128 20:30:24.179666 2042758 net.cpp:202] A does not need backward computation. I1128 20:30:24.179672 2042758 net.cpp:202] data_data_0_split does not need backward computation. I1128 20:30:24.179677 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.179682 2042758 net.cpp:244] This network produces output A I1128 20:30:24.179687 2042758 net.cpp:244] This network produces output AorB I1128 20:30:24.179697 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.180282 2042758 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 } } I1128 20:30:24.180387 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.180395 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.180402 2042758 net.cpp:382] data -> data I1128 20:30:24.180418 2042758 net.cpp:124] Setting up data I1128 20:30:24.180424 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.180431 2042758 net.cpp:139] Memory required for data: 400 I1128 20:30:24.180436 2042758 layer_factory.hpp:77] Creating layer data_data_0_split I1128 20:30:24.180444 2042758 net.cpp:86] Creating Layer data_data_0_split I1128 20:30:24.180450 2042758 net.cpp:408] data_data_0_split <- data I1128 20:30:24.180459 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1128 20:30:24.180469 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1128 20:30:24.180477 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1128 20:30:24.180486 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_3 I1128 20:30:24.180496 2042758 net.cpp:124] Setting up data_data_0_split I1128 20:30:24.180502 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.180508 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.180514 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.180521 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.180528 2042758 net.cpp:139] Memory required for data: 2000 I1128 20:30:24.180533 2042758 layer_factory.hpp:77] Creating layer A I1128 20:30:24.180541 2042758 net.cpp:86] Creating Layer A I1128 20:30:24.180546 2042758 net.cpp:408] A <- data_data_0_split_0 I1128 20:30:24.180555 2042758 net.cpp:382] A -> A I1128 20:30:24.180570 2042758 net.cpp:124] Setting up A I1128 20:30:24.180577 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.180583 2042758 net.cpp:139] Memory required for data: 2004 I1128 20:30:24.180594 2042758 layer_factory.hpp:77] Creating layer B I1128 20:30:24.180601 2042758 net.cpp:86] Creating Layer B I1128 20:30:24.180606 2042758 net.cpp:408] B <- data_data_0_split_1 I1128 20:30:24.180613 2042758 net.cpp:382] B -> B I1128 20:30:24.180627 2042758 net.cpp:124] Setting up B I1128 20:30:24.180632 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.180639 2042758 net.cpp:139] Memory required for data: 2008 I1128 20:30:24.180647 2042758 layer_factory.hpp:77] Creating layer AorB I1128 20:30:24.180656 2042758 net.cpp:86] Creating Layer AorB I1128 20:30:24.180661 2042758 net.cpp:408] AorB <- data_data_0_split_2 I1128 20:30:24.180671 2042758 net.cpp:382] AorB -> AorB I1128 20:30:24.180685 2042758 net.cpp:124] Setting up AorB I1128 20:30:24.180691 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.180696 2042758 net.cpp:139] Memory required for data: 2012 I1128 20:30:24.180706 2042758 layer_factory.hpp:77] Creating layer AandB I1128 20:30:24.180718 2042758 net.cpp:86] Creating Layer AandB I1128 20:30:24.180723 2042758 net.cpp:408] AandB <- data_data_0_split_3 I1128 20:30:24.180732 2042758 net.cpp:382] AandB -> AandB I1128 20:30:24.180747 2042758 net.cpp:124] Setting up AandB I1128 20:30:24.180752 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.180758 2042758 net.cpp:139] Memory required for data: 2016 I1128 20:30:24.180765 2042758 net.cpp:202] AandB does not need backward computation. I1128 20:30:24.180771 2042758 net.cpp:202] AorB does not need backward computation. I1128 20:30:24.180776 2042758 net.cpp:202] B does not need backward computation. I1128 20:30:24.180781 2042758 net.cpp:202] A does not need backward computation. I1128 20:30:24.180788 2042758 net.cpp:202] data_data_0_split does not need backward computation. I1128 20:30:24.180794 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.180799 2042758 net.cpp:244] This network produces output A I1128 20:30:24.180804 2042758 net.cpp:244] This network produces output AandB I1128 20:30:24.180810 2042758 net.cpp:244] This network produces output AorB I1128 20:30:24.180816 2042758 net.cpp:244] This network produces output B I1128 20:30:24.180840 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.181464 2042758 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I1128 20:30:24.181481 2042758 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I1128 20:30:24.181489 2042758 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I1128 20:30:24.181495 2042758 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 } } I1128 20:30:24.181576 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.181587 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.181596 2042758 net.cpp:382] data -> data I1128 20:30:24.181612 2042758 net.cpp:124] Setting up data I1128 20:30:24.181617 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.181625 2042758 net.cpp:139] Memory required for data: 400 I1128 20:30:24.181632 2042758 layer_factory.hpp:77] Creating layer data_data_0_split I1128 20:30:24.181641 2042758 net.cpp:86] Creating Layer data_data_0_split I1128 20:30:24.181646 2042758 net.cpp:408] data_data_0_split <- data I1128 20:30:24.181658 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1128 20:30:24.181680 2042758 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1128 20:30:24.181691 2042758 net.cpp:124] Setting up data_data_0_split I1128 20:30:24.181697 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.181704 2042758 net.cpp:131] Top shape: 1 1 10 10 (100) I1128 20:30:24.181711 2042758 net.cpp:139] Memory required for data: 1200 I1128 20:30:24.181717 2042758 layer_factory.hpp:77] Creating layer B I1128 20:30:24.181726 2042758 net.cpp:86] Creating Layer B I1128 20:30:24.181731 2042758 net.cpp:408] B <- data_data_0_split_0 I1128 20:30:24.181740 2042758 net.cpp:382] B -> B I1128 20:30:24.181757 2042758 net.cpp:124] Setting up B I1128 20:30:24.181762 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.181769 2042758 net.cpp:139] Memory required for data: 1204 I1128 20:30:24.181784 2042758 layer_factory.hpp:77] Creating layer AorB I1128 20:30:24.181793 2042758 net.cpp:86] Creating Layer AorB I1128 20:30:24.181799 2042758 net.cpp:408] AorB <- data_data_0_split_1 I1128 20:30:24.181810 2042758 net.cpp:382] AorB -> AorB I1128 20:30:24.181838 2042758 net.cpp:124] Setting up AorB I1128 20:30:24.181843 2042758 net.cpp:131] Top shape: 1 1 (1) I1128 20:30:24.181851 2042758 net.cpp:139] Memory required for data: 1208 I1128 20:30:24.181862 2042758 net.cpp:202] AorB does not need backward computation. I1128 20:30:24.181869 2042758 net.cpp:202] B does not need backward computation. I1128 20:30:24.181874 2042758 net.cpp:202] data_data_0_split does not need backward computation. I1128 20:30:24.181880 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.181885 2042758 net.cpp:244] This network produces output AorB I1128 20:30:24.181891 2042758 net.cpp:244] This network produces output B I1128 20:30:24.181900 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.183801 2042758 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" } I1128 20:30:24.183961 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.183974 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.183981 2042758 net.cpp:382] data -> data I1128 20:30:24.183995 2042758 net.cpp:382] data -> label I1128 20:30:24.184063 2042758 net.cpp:124] Setting up data I1128 20:30:24.184072 2042758 net.cpp:131] Top shape: 50 1 28 28 (39200) I1128 20:30:24.184082 2042758 net.cpp:131] Top shape: 50 1 1 1 (50) I1128 20:30:24.184093 2042758 net.cpp:139] Memory required for data: 157000 I1128 20:30:24.184100 2042758 layer_factory.hpp:77] Creating layer conv1 I1128 20:30:24.184113 2042758 net.cpp:86] Creating Layer conv1 I1128 20:30:24.184119 2042758 net.cpp:408] conv1 <- data I1128 20:30:24.184128 2042758 net.cpp:382] conv1 -> conv1 I1128 20:30:24.184177 2042758 net.cpp:124] Setting up conv1 I1128 20:30:24.184182 2042758 net.cpp:131] Top shape: 50 20 24 24 (576000) I1128 20:30:24.184193 2042758 net.cpp:139] Memory required for data: 2461000 I1128 20:30:24.184209 2042758 layer_factory.hpp:77] Creating layer pool1 I1128 20:30:24.184219 2042758 net.cpp:86] Creating Layer pool1 I1128 20:30:24.184224 2042758 net.cpp:408] pool1 <- conv1 I1128 20:30:24.184234 2042758 net.cpp:382] pool1 -> pool1 I1128 20:30:24.184263 2042758 net.cpp:124] Setting up pool1 I1128 20:30:24.184268 2042758 net.cpp:131] Top shape: 50 20 12 12 (144000) I1128 20:30:24.184275 2042758 net.cpp:139] Memory required for data: 3037000 I1128 20:30:24.184280 2042758 layer_factory.hpp:77] Creating layer conv2 I1128 20:30:24.184288 2042758 net.cpp:86] Creating Layer conv2 I1128 20:30:24.184293 2042758 net.cpp:408] conv2 <- pool1 I1128 20:30:24.184301 2042758 net.cpp:382] conv2 -> conv2 I1128 20:30:24.184567 2042758 net.cpp:124] Setting up conv2 I1128 20:30:24.184573 2042758 net.cpp:131] Top shape: 50 50 8 8 (160000) I1128 20:30:24.184581 2042758 net.cpp:139] Memory required for data: 3677000 I1128 20:30:24.184588 2042758 layer_factory.hpp:77] Creating layer pool2 I1128 20:30:24.184597 2042758 net.cpp:86] Creating Layer pool2 I1128 20:30:24.184602 2042758 net.cpp:408] pool2 <- conv2 I1128 20:30:24.184608 2042758 net.cpp:382] pool2 -> pool2 I1128 20:30:24.184619 2042758 net.cpp:124] Setting up pool2 I1128 20:30:24.184635 2042758 net.cpp:131] Top shape: 50 50 4 4 (40000) I1128 20:30:24.184641 2042758 net.cpp:139] Memory required for data: 3837000 I1128 20:30:24.184650 2042758 layer_factory.hpp:77] Creating layer ip1 I1128 20:30:24.184662 2042758 net.cpp:86] Creating Layer ip1 I1128 20:30:24.184667 2042758 net.cpp:408] ip1 <- pool2 I1128 20:30:24.184679 2042758 net.cpp:382] ip1 -> ip1 I1128 20:30:24.189538 2042758 net.cpp:124] Setting up ip1 I1128 20:30:24.189577 2042758 net.cpp:131] Top shape: 50 500 (25000) I1128 20:30:24.189589 2042758 net.cpp:139] Memory required for data: 3937000 I1128 20:30:24.189612 2042758 layer_factory.hpp:77] Creating layer relu1 I1128 20:30:24.189635 2042758 net.cpp:86] Creating Layer relu1 I1128 20:30:24.189641 2042758 net.cpp:408] relu1 <- ip1 I1128 20:30:24.189651 2042758 net.cpp:369] relu1 -> ip1 (in-place) I1128 20:30:24.189663 2042758 net.cpp:124] Setting up relu1 I1128 20:30:24.189668 2042758 net.cpp:131] Top shape: 50 500 (25000) I1128 20:30:24.189674 2042758 net.cpp:139] Memory required for data: 4037000 I1128 20:30:24.189679 2042758 layer_factory.hpp:77] Creating layer ip2 I1128 20:30:24.189688 2042758 net.cpp:86] Creating Layer ip2 I1128 20:30:24.189692 2042758 net.cpp:408] ip2 <- ip1 I1128 20:30:24.189700 2042758 net.cpp:382] ip2 -> ip2 I1128 20:30:24.189771 2042758 net.cpp:124] Setting up ip2 I1128 20:30:24.189777 2042758 net.cpp:131] Top shape: 50 10 (500) I1128 20:30:24.189783 2042758 net.cpp:139] Memory required for data: 4039000 I1128 20:30:24.189792 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.189803 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.189808 2042758 net.cpp:408] loss <- ip2 I1128 20:30:24.189815 2042758 net.cpp:408] loss <- label I1128 20:30:24.189822 2042758 net.cpp:382] loss -> loss I1128 20:30:24.189834 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.189857 2042758 net.cpp:124] Setting up loss I1128 20:30:24.189862 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.189867 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.189889 2042758 net.cpp:139] Memory required for data: 4039004 I1128 20:30:24.189894 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.189901 2042758 net.cpp:200] ip2 needs backward computation. I1128 20:30:24.189906 2042758 net.cpp:200] relu1 needs backward computation. I1128 20:30:24.189911 2042758 net.cpp:200] ip1 needs backward computation. I1128 20:30:24.189916 2042758 net.cpp:200] pool2 needs backward computation. I1128 20:30:24.189922 2042758 net.cpp:200] conv2 needs backward computation. I1128 20:30:24.189929 2042758 net.cpp:200] pool1 needs backward computation. I1128 20:30:24.189934 2042758 net.cpp:200] conv1 needs backward computation. I1128 20:30:24.189941 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.189946 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.189958 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.191813 2042758 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" } I1128 20:30:24.191974 2042758 layer_factory.hpp:77] Creating layer DummyData1 I1128 20:30:24.191989 2042758 net.cpp:86] Creating Layer DummyData1 I1128 20:30:24.191998 2042758 net.cpp:382] DummyData1 -> DummyData1 I1128 20:30:24.192019 2042758 net.cpp:382] DummyData1 -> DummyData2 I1128 20:30:24.192093 2042758 net.cpp:124] Setting up DummyData1 I1128 20:30:24.192107 2042758 net.cpp:131] Top shape: 50 1 28 28 (39200) I1128 20:30:24.192118 2042758 net.cpp:131] Top shape: 50 1 1 1 (50) I1128 20:30:24.192124 2042758 net.cpp:139] Memory required for data: 157000 I1128 20:30:24.192129 2042758 layer_factory.hpp:77] Creating layer Convolution1 I1128 20:30:24.192142 2042758 net.cpp:86] Creating Layer Convolution1 I1128 20:30:24.192147 2042758 net.cpp:408] Convolution1 <- DummyData1 I1128 20:30:24.192157 2042758 net.cpp:382] Convolution1 -> Convolution1 I1128 20:30:24.192198 2042758 net.cpp:124] Setting up Convolution1 I1128 20:30:24.192204 2042758 net.cpp:131] Top shape: 50 20 24 24 (576000) I1128 20:30:24.192216 2042758 net.cpp:139] Memory required for data: 2461000 I1128 20:30:24.192234 2042758 layer_factory.hpp:77] Creating layer Pooling1 I1128 20:30:24.192245 2042758 net.cpp:86] Creating Layer Pooling1 I1128 20:30:24.192252 2042758 net.cpp:408] Pooling1 <- Convolution1 I1128 20:30:24.192261 2042758 net.cpp:382] Pooling1 -> Pooling1 I1128 20:30:24.192274 2042758 net.cpp:124] Setting up Pooling1 I1128 20:30:24.192292 2042758 net.cpp:131] Top shape: 50 20 12 12 (144000) I1128 20:30:24.192301 2042758 net.cpp:139] Memory required for data: 3037000 I1128 20:30:24.192307 2042758 layer_factory.hpp:77] Creating layer Convolution2 I1128 20:30:24.192318 2042758 net.cpp:86] Creating Layer Convolution2 I1128 20:30:24.192324 2042758 net.cpp:408] Convolution2 <- Pooling1 I1128 20:30:24.192332 2042758 net.cpp:382] Convolution2 -> Convolution2 I1128 20:30:24.192678 2042758 net.cpp:124] Setting up Convolution2 I1128 20:30:24.192687 2042758 net.cpp:131] Top shape: 50 50 8 8 (160000) I1128 20:30:24.192694 2042758 net.cpp:139] Memory required for data: 3677000 I1128 20:30:24.192705 2042758 layer_factory.hpp:77] Creating layer Pooling2 I1128 20:30:24.192716 2042758 net.cpp:86] Creating Layer Pooling2 I1128 20:30:24.192721 2042758 net.cpp:408] Pooling2 <- Convolution2 I1128 20:30:24.192729 2042758 net.cpp:382] Pooling2 -> Pooling2 I1128 20:30:24.192740 2042758 net.cpp:124] Setting up Pooling2 I1128 20:30:24.192745 2042758 net.cpp:131] Top shape: 50 50 4 4 (40000) I1128 20:30:24.192751 2042758 net.cpp:139] Memory required for data: 3837000 I1128 20:30:24.192756 2042758 layer_factory.hpp:77] Creating layer InnerProduct1 I1128 20:30:24.192764 2042758 net.cpp:86] Creating Layer InnerProduct1 I1128 20:30:24.192768 2042758 net.cpp:408] InnerProduct1 <- Pooling2 I1128 20:30:24.192775 2042758 net.cpp:382] InnerProduct1 -> InnerProduct1 I1128 20:30:24.198350 2042758 net.cpp:124] Setting up InnerProduct1 I1128 20:30:24.198387 2042758 net.cpp:131] Top shape: 50 500 (25000) I1128 20:30:24.198398 2042758 net.cpp:139] Memory required for data: 3937000 I1128 20:30:24.198421 2042758 layer_factory.hpp:77] Creating layer ReLU1 I1128 20:30:24.198436 2042758 net.cpp:86] Creating Layer ReLU1 I1128 20:30:24.198443 2042758 net.cpp:408] ReLU1 <- InnerProduct1 I1128 20:30:24.198454 2042758 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I1128 20:30:24.198478 2042758 net.cpp:124] Setting up ReLU1 I1128 20:30:24.198490 2042758 net.cpp:131] Top shape: 50 500 (25000) I1128 20:30:24.198498 2042758 net.cpp:139] Memory required for data: 4037000 I1128 20:30:24.198503 2042758 layer_factory.hpp:77] Creating layer InnerProduct2 I1128 20:30:24.198513 2042758 net.cpp:86] Creating Layer InnerProduct2 I1128 20:30:24.198518 2042758 net.cpp:408] InnerProduct2 <- InnerProduct1 I1128 20:30:24.198526 2042758 net.cpp:382] InnerProduct2 -> InnerProduct2 I1128 20:30:24.198619 2042758 net.cpp:124] Setting up InnerProduct2 I1128 20:30:24.198630 2042758 net.cpp:131] Top shape: 50 10 (500) I1128 20:30:24.198643 2042758 net.cpp:139] Memory required for data: 4039000 I1128 20:30:24.198654 2042758 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I1128 20:30:24.198674 2042758 net.cpp:86] Creating Layer SoftmaxWithLoss1 I1128 20:30:24.198683 2042758 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I1128 20:30:24.198693 2042758 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I1128 20:30:24.198706 2042758 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I1128 20:30:24.198719 2042758 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I1128 20:30:24.198738 2042758 net.cpp:124] Setting up SoftmaxWithLoss1 I1128 20:30:24.198743 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.198748 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.198773 2042758 net.cpp:139] Memory required for data: 4039004 I1128 20:30:24.198779 2042758 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I1128 20:30:24.198798 2042758 net.cpp:200] InnerProduct2 needs backward computation. I1128 20:30:24.198804 2042758 net.cpp:200] ReLU1 needs backward computation. I1128 20:30:24.198812 2042758 net.cpp:200] InnerProduct1 needs backward computation. I1128 20:30:24.198817 2042758 net.cpp:200] Pooling2 needs backward computation. I1128 20:30:24.198824 2042758 net.cpp:200] Convolution2 needs backward computation. I1128 20:30:24.198833 2042758 net.cpp:200] Pooling1 needs backward computation. I1128 20:30:24.198839 2042758 net.cpp:200] Convolution1 needs backward computation. I1128 20:30:24.198848 2042758 net.cpp:202] DummyData1 does not need backward computation. I1128 20:30:24.198856 2042758 net.cpp:244] This network produces output SoftmaxWithLoss1 I1128 20:30:24.198873 2042758 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): .I1128 20:30:24.201539 2042758 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" } I1128 20:30:24.201608 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.201622 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.201629 2042758 net.cpp:382] data -> data I1128 20:30:24.201644 2042758 net.cpp:382] data -> data2 I1128 20:30:24.201664 2042758 net.cpp:124] Setting up data I1128 20:30:24.201670 2042758 net.cpp:131] Top shape: 3 (3) I1128 20:30:24.201678 2042758 net.cpp:131] Top shape: 3 (3) I1128 20:30:24.201683 2042758 net.cpp:139] Memory required for data: 24 I1128 20:30:24.201689 2042758 layer_factory.hpp:77] Creating layer silence_data I1128 20:30:24.201710 2042758 net.cpp:86] Creating Layer silence_data I1128 20:30:24.201715 2042758 net.cpp:408] silence_data <- data I1128 20:30:24.201722 2042758 net.cpp:124] Setting up silence_data I1128 20:30:24.201727 2042758 net.cpp:139] Memory required for data: 24 I1128 20:30:24.201732 2042758 layer_factory.hpp:77] Creating layer silence_data2 I1128 20:30:24.201740 2042758 net.cpp:86] Creating Layer silence_data2 I1128 20:30:24.201745 2042758 net.cpp:408] silence_data2 <- data2 I1128 20:30:24.201751 2042758 net.cpp:124] Setting up silence_data2 I1128 20:30:24.201756 2042758 net.cpp:139] Memory required for data: 24 I1128 20:30:24.201761 2042758 net.cpp:202] silence_data2 does not need backward computation. I1128 20:30:24.201766 2042758 net.cpp:202] silence_data does not need backward computation. I1128 20:30:24.201771 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.201778 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.202419 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp68ziiq3l I1128 20:30:24.202435 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.202440 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.202462 2042758 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" } } I1128 20:30:24.202530 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.202543 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.202550 2042758 net.cpp:382] input -> data I1128 20:30:24.202567 2042758 net.cpp:124] Setting up input I1128 20:30:24.202572 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.202579 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.202585 2042758 layer_factory.hpp:77] Creating layer one I1128 20:30:24.202625 2042758 net.cpp:86] Creating Layer one I1128 20:30:24.202631 2042758 net.cpp:408] one <- data I1128 20:30:24.202641 2042758 net.cpp:382] one -> one I1128 20:30:24.202697 2042758 net.cpp:124] Setting up one I1128 20:30:24.202703 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.202710 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.202715 2042758 layer_factory.hpp:77] Creating layer two I1128 20:30:24.202735 2042758 net.cpp:86] Creating Layer two I1128 20:30:24.202741 2042758 net.cpp:408] two <- one I1128 20:30:24.202747 2042758 net.cpp:382] two -> two I1128 20:30:24.202773 2042758 net.cpp:124] Setting up two I1128 20:30:24.202781 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.202787 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.202793 2042758 layer_factory.hpp:77] Creating layer three I1128 20:30:24.202813 2042758 net.cpp:86] Creating Layer three I1128 20:30:24.202818 2042758 net.cpp:408] three <- two I1128 20:30:24.202826 2042758 net.cpp:382] three -> three I1128 20:30:24.202849 2042758 net.cpp:124] Setting up three I1128 20:30:24.202855 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.202862 2042758 net.cpp:139] Memory required for data: 11520 I1128 20:30:24.202867 2042758 net.cpp:202] three does not need backward computation. I1128 20:30:24.202872 2042758 net.cpp:202] two does not need backward computation. I1128 20:30:24.202877 2042758 net.cpp:202] one does not need backward computation. I1128 20:30:24.202883 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.202888 2042758 net.cpp:244] This network produces output three I1128 20:30:24.202898 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.208988 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9wcw9ipf I1128 20:30:24.209013 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.209018 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.209048 2042758 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" } } I1128 20:30:24.209127 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.209139 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.209146 2042758 net.cpp:382] input -> data I1128 20:30:24.209164 2042758 net.cpp:124] Setting up input I1128 20:30:24.209169 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.209177 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.209183 2042758 layer_factory.hpp:77] Creating layer one I1128 20:30:24.209465 2042758 net.cpp:86] Creating Layer one I1128 20:30:24.209483 2042758 net.cpp:408] one <- data I1128 20:30:24.209497 2042758 net.cpp:382] one -> one I1128 20:30:24.209551 2042758 net.cpp:124] Setting up one I1128 20:30:24.209558 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.209563 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.209568 2042758 layer_factory.hpp:77] Creating layer two I1128 20:30:24.209586 2042758 net.cpp:86] Creating Layer two I1128 20:30:24.209591 2042758 net.cpp:408] two <- one I1128 20:30:24.209597 2042758 net.cpp:382] two -> two I1128 20:30:24.209619 2042758 net.cpp:124] Setting up two I1128 20:30:24.209625 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.209630 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.209635 2042758 layer_factory.hpp:77] Creating layer three I1128 20:30:24.209651 2042758 net.cpp:86] Creating Layer three I1128 20:30:24.209656 2042758 net.cpp:408] three <- two I1128 20:30:24.209663 2042758 net.cpp:382] three -> three I1128 20:30:24.209700 2042758 net.cpp:124] Setting up three I1128 20:30:24.209717 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.209726 2042758 net.cpp:139] Memory required for data: 11520 I1128 20:30:24.209734 2042758 net.cpp:202] three does not need backward computation. I1128 20:30:24.209741 2042758 net.cpp:202] two does not need backward computation. I1128 20:30:24.209748 2042758 net.cpp:202] one does not need backward computation. I1128 20:30:24.209755 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.209760 2042758 net.cpp:244] This network produces output three I1128 20:30:24.209769 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.210142 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmptylew547 I1128 20:30:24.210160 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.210165 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.210180 2042758 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" } } I1128 20:30:24.210224 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.210234 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.210240 2042758 net.cpp:382] input -> data I1128 20:30:24.210255 2042758 net.cpp:124] Setting up input I1128 20:30:24.210260 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.210271 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.210275 2042758 layer_factory.hpp:77] Creating layer layer I1128 20:30:24.210304 2042758 net.cpp:86] Creating Layer layer I1128 20:30:24.210309 2042758 net.cpp:408] layer <- data I1128 20:30:24.210315 2042758 net.cpp:382] layer -> top .I1128 20:30:24.210927 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpmpdk2rka I1128 20:30:24.210952 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.210958 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.210988 2042758 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" } } I1128 20:30:24.211067 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.211076 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.211082 2042758 net.cpp:382] input -> data I1128 20:30:24.211094 2042758 net.cpp:124] Setting up input I1128 20:30:24.211099 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.211107 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.211118 2042758 layer_factory.hpp:77] Creating layer one I1128 20:30:24.211153 2042758 net.cpp:86] Creating Layer one I1128 20:30:24.211160 2042758 net.cpp:408] one <- data I1128 20:30:24.211169 2042758 net.cpp:382] one -> one I1128 20:30:24.211211 2042758 net.cpp:124] Setting up one I1128 20:30:24.211222 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.211232 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.211242 2042758 layer_factory.hpp:77] Creating layer two I1128 20:30:24.211275 2042758 net.cpp:86] Creating Layer two I1128 20:30:24.211287 2042758 net.cpp:408] two <- one I1128 20:30:24.211297 2042758 net.cpp:382] two -> two I1128 20:30:24.211339 2042758 net.cpp:124] Setting up two I1128 20:30:24.211351 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.211361 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.211367 2042758 layer_factory.hpp:77] Creating layer three I1128 20:30:24.211390 2042758 net.cpp:86] Creating Layer three I1128 20:30:24.211395 2042758 net.cpp:408] three <- two I1128 20:30:24.211402 2042758 net.cpp:382] three -> three I1128 20:30:24.211439 2042758 net.cpp:124] Setting up three I1128 20:30:24.211447 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.211454 2042758 net.cpp:139] Memory required for data: 11520 I1128 20:30:24.211462 2042758 net.cpp:202] three does not need backward computation. I1128 20:30:24.211468 2042758 net.cpp:202] two does not need backward computation. I1128 20:30:24.211474 2042758 net.cpp:202] one does not need backward computation. I1128 20:30:24.211481 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.211488 2042758 net.cpp:244] This network produces output three I1128 20:30:24.211500 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.217628 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpbtw_r96d I1128 20:30:24.217669 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.217674 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.217708 2042758 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" } } I1128 20:30:24.217806 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.217820 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.217828 2042758 net.cpp:382] input -> data I1128 20:30:24.217847 2042758 net.cpp:124] Setting up input I1128 20:30:24.217854 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.217862 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.217869 2042758 layer_factory.hpp:77] Creating layer one I1128 20:30:24.217913 2042758 net.cpp:86] Creating Layer one I1128 20:30:24.217922 2042758 net.cpp:408] one <- data I1128 20:30:24.217931 2042758 net.cpp:382] one -> one I1128 20:30:24.217978 2042758 net.cpp:124] Setting up one I1128 20:30:24.217984 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.217991 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.217996 2042758 layer_factory.hpp:77] Creating layer two I1128 20:30:24.218019 2042758 net.cpp:86] Creating Layer two I1128 20:30:24.218025 2042758 net.cpp:408] two <- one I1128 20:30:24.218032 2042758 net.cpp:382] two -> two I1128 20:30:24.218060 2042758 net.cpp:124] Setting up two I1128 20:30:24.218066 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.218072 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.218077 2042758 layer_factory.hpp:77] Creating layer three I1128 20:30:24.218101 2042758 net.cpp:86] Creating Layer three I1128 20:30:24.218106 2042758 net.cpp:408] three <- two I1128 20:30:24.218113 2042758 net.cpp:382] three -> three I1128 20:30:24.218142 2042758 net.cpp:124] Setting up three I1128 20:30:24.218148 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.218154 2042758 net.cpp:139] Memory required for data: 11520 I1128 20:30:24.218159 2042758 net.cpp:202] three does not need backward computation. I1128 20:30:24.218165 2042758 net.cpp:202] two does not need backward computation. I1128 20:30:24.218170 2042758 net.cpp:202] one does not need backward computation. I1128 20:30:24.218175 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.218180 2042758 net.cpp:244] This network produces output three I1128 20:30:24.218189 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.218533 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpdn5n1b81 I1128 20:30:24.218552 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.218557 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.218571 2042758 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" } } I1128 20:30:24.218617 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.218626 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.218632 2042758 net.cpp:382] input -> data I1128 20:30:24.218644 2042758 net.cpp:124] Setting up input I1128 20:30:24.218649 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.218657 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.218662 2042758 layer_factory.hpp:77] Creating layer layer I1128 20:30:24.218693 2042758 net.cpp:86] Creating Layer layer I1128 20:30:24.218698 2042758 net.cpp:408] layer <- data I1128 20:30:24.218705 2042758 net.cpp:382] layer -> top I1128 20:30:24.218787 2042758 net.cpp:124] Setting up layer I1128 20:30:24.218796 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.218802 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.218816 2042758 net.cpp:202] layer does not need backward computation. I1128 20:30:24.218822 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.218827 2042758 net.cpp:244] This network produces output top I1128 20:30:24.218839 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.219524 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpdn5n1b81 I1128 20:30:24.219537 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.219542 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.219556 2042758 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" } } I1128 20:30:24.219604 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.219614 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.219621 2042758 net.cpp:382] input -> data I1128 20:30:24.219633 2042758 net.cpp:124] Setting up input I1128 20:30:24.219640 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.219646 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.219652 2042758 layer_factory.hpp:77] Creating layer layer I1128 20:30:24.219682 2042758 net.cpp:86] Creating Layer layer I1128 20:30:24.219689 2042758 net.cpp:408] layer <- data I1128 20:30:24.219697 2042758 net.cpp:382] layer -> top I1128 20:30:24.219745 2042758 net.cpp:124] Setting up layer I1128 20:30:24.219753 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.219759 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.219770 2042758 net.cpp:202] layer does not need backward computation. I1128 20:30:24.219777 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.219782 2042758 net.cpp:244] This network produces output top I1128 20:30:24.219789 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.220322 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp0b0pieon I1128 20:30:24.220336 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.220342 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.220360 2042758 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" } } I1128 20:30:24.220427 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.220436 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.220444 2042758 net.cpp:382] input -> data I1128 20:30:24.220455 2042758 net.cpp:124] Setting up input I1128 20:30:24.220461 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.220468 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.220474 2042758 layer_factory.hpp:77] Creating layer one I1128 20:30:24.220504 2042758 net.cpp:86] Creating Layer one I1128 20:30:24.220511 2042758 net.cpp:408] one <- data I1128 20:30:24.220520 2042758 net.cpp:382] one -> one I1128 20:30:24.220556 2042758 net.cpp:124] Setting up one I1128 20:30:24.220562 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.220568 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.220573 2042758 layer_factory.hpp:77] Creating layer two I1128 20:30:24.220597 2042758 net.cpp:86] Creating Layer two I1128 20:30:24.220602 2042758 net.cpp:408] two <- one I1128 20:30:24.220609 2042758 net.cpp:382] two -> two I1128 20:30:24.220638 2042758 net.cpp:124] Setting up two I1128 20:30:24.220643 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.220649 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.220654 2042758 layer_factory.hpp:77] Creating layer three I1128 20:30:24.220672 2042758 net.cpp:86] Creating Layer three I1128 20:30:24.220679 2042758 net.cpp:408] three <- two I1128 20:30:24.220686 2042758 net.cpp:382] three -> three I1128 20:30:24.220713 2042758 net.cpp:124] Setting up three I1128 20:30:24.220719 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.220726 2042758 net.cpp:139] Memory required for data: 11520 I1128 20:30:24.220731 2042758 net.cpp:202] three does not need backward computation. I1128 20:30:24.220737 2042758 net.cpp:202] two does not need backward computation. I1128 20:30:24.220742 2042758 net.cpp:202] one does not need backward computation. I1128 20:30:24.220748 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.220755 2042758 net.cpp:244] This network produces output three I1128 20:30:24.220763 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.221093 2042758 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" } } I1128 20:30:24.221134 2042758 layer_factory.hpp:77] Creating layer layer I1128 20:30:24.221168 2042758 net.cpp:86] Creating Layer layer I1128 20:30:24.221176 2042758 net.cpp:382] layer -> phase I1128 20:30:24.221522 2042758 net.cpp:124] Setting up layer I1128 20:30:24.221536 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.221544 2042758 net.cpp:139] Memory required for data: 4 I1128 20:30:24.221551 2042758 net.cpp:202] layer does not need backward computation. I1128 20:30:24.221556 2042758 net.cpp:244] This network produces output phase I1128 20:30:24.221568 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.221820 2042758 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" } } I1128 20:30:24.221860 2042758 layer_factory.hpp:77] Creating layer layer I1128 20:30:24.221899 2042758 net.cpp:86] Creating Layer layer I1128 20:30:24.221908 2042758 net.cpp:382] layer -> phase I1128 20:30:24.221940 2042758 net.cpp:124] Setting up layer I1128 20:30:24.221946 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.221954 2042758 net.cpp:139] Memory required for data: 4 I1128 20:30:24.221962 2042758 net.cpp:202] layer does not need backward computation. I1128 20:30:24.221969 2042758 net.cpp:244] This network produces output phase I1128 20:30:24.221978 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.222604 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpxaxitra0 I1128 20:30:24.222618 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.222625 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.222645 2042758 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" } } I1128 20:30:24.222713 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.222724 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.222731 2042758 net.cpp:382] input -> data I1128 20:30:24.222745 2042758 net.cpp:124] Setting up input I1128 20:30:24.222751 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.222761 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.222767 2042758 layer_factory.hpp:77] Creating layer one I1128 20:30:24.222802 2042758 net.cpp:86] Creating Layer one I1128 20:30:24.222811 2042758 net.cpp:408] one <- data I1128 20:30:24.222820 2042758 net.cpp:382] one -> one I1128 20:30:24.222860 2042758 net.cpp:124] Setting up one I1128 20:30:24.222867 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.222875 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.222880 2042758 layer_factory.hpp:77] Creating layer two I1128 20:30:24.222901 2042758 net.cpp:86] Creating Layer two I1128 20:30:24.222908 2042758 net.cpp:408] two <- one I1128 20:30:24.222916 2042758 net.cpp:382] two -> two I1128 20:30:24.222955 2042758 net.cpp:124] Setting up two I1128 20:30:24.222962 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.222970 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.222975 2042758 layer_factory.hpp:77] Creating layer three I1128 20:30:24.222996 2042758 net.cpp:86] Creating Layer three I1128 20:30:24.223003 2042758 net.cpp:408] three <- two I1128 20:30:24.223011 2042758 net.cpp:382] three -> three I1128 20:30:24.223039 2042758 net.cpp:124] Setting up three I1128 20:30:24.223045 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.223057 2042758 net.cpp:139] Memory required for data: 11520 I1128 20:30:24.223062 2042758 net.cpp:202] three does not need backward computation. I1128 20:30:24.223067 2042758 net.cpp:202] two does not need backward computation. I1128 20:30:24.223073 2042758 net.cpp:202] one does not need backward computation. I1128 20:30:24.223078 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.223083 2042758 net.cpp:244] This network produces output three I1128 20:30:24.223093 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.224210 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpnij7caln I1128 20:30:24.224226 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.224231 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.224249 2042758 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" } } I1128 20:30:24.224304 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.224314 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.224319 2042758 net.cpp:382] input -> data I1128 20:30:24.224331 2042758 net.cpp:124] Setting up input I1128 20:30:24.224336 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.224342 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.224347 2042758 layer_factory.hpp:77] Creating layer mul10 I1128 20:30:24.224375 2042758 net.cpp:86] Creating Layer mul10 I1128 20:30:24.224380 2042758 net.cpp:408] mul10 <- data I1128 20:30:24.224386 2042758 net.cpp:382] mul10 -> mul10 I1128 20:30:24.224431 2042758 net.cpp:124] Setting up mul10 I1128 20:30:24.224436 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.224440 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.224444 2042758 layer_factory.hpp:77] Creating layer mul2 I1128 20:30:24.224462 2042758 net.cpp:86] Creating Layer mul2 I1128 20:30:24.224575 2042758 net.cpp:408] mul2 <- mul10 I1128 20:30:24.224582 2042758 net.cpp:382] mul2 -> mul2 I1128 20:30:24.224613 2042758 net.cpp:124] Setting up mul2 I1128 20:30:24.224618 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.224623 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.224627 2042758 net.cpp:202] mul2 does not need backward computation. I1128 20:30:24.224632 2042758 net.cpp:202] mul10 does not need backward computation. I1128 20:30:24.224637 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.224640 2042758 net.cpp:244] This network produces output mul2 I1128 20:30:24.224645 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.230506 2042758 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpsw346vsn I1128 20:30:24.230548 2042758 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1128 20:30:24.230557 2042758 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1128 20:30:24.230587 2042758 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" } } I1128 20:30:24.230669 2042758 layer_factory.hpp:77] Creating layer input I1128 20:30:24.230682 2042758 net.cpp:86] Creating Layer input I1128 20:30:24.230690 2042758 net.cpp:382] input -> data I1128 20:30:24.230707 2042758 net.cpp:124] Setting up input I1128 20:30:24.230715 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.230723 2042758 net.cpp:139] Memory required for data: 2880 I1128 20:30:24.230729 2042758 layer_factory.hpp:77] Creating layer mul10 I1128 20:30:24.230772 2042758 net.cpp:86] Creating Layer mul10 I1128 20:30:24.230780 2042758 net.cpp:408] mul10 <- data I1128 20:30:24.230787 2042758 net.cpp:382] mul10 -> mul10 I1128 20:30:24.230840 2042758 net.cpp:124] Setting up mul10 I1128 20:30:24.230851 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.230859 2042758 net.cpp:139] Memory required for data: 5760 I1128 20:30:24.230865 2042758 layer_factory.hpp:77] Creating layer mul2 I1128 20:30:24.230886 2042758 net.cpp:86] Creating Layer mul2 I1128 20:30:24.230893 2042758 net.cpp:408] mul2 <- mul10 I1128 20:30:24.230901 2042758 net.cpp:382] mul2 -> mul2 I1128 20:30:24.231060 2042758 net.cpp:124] Setting up mul2 I1128 20:30:24.231079 2042758 net.cpp:131] Top shape: 10 9 8 (720) I1128 20:30:24.231088 2042758 net.cpp:139] Memory required for data: 8640 I1128 20:30:24.231094 2042758 net.cpp:202] mul2 does not need backward computation. I1128 20:30:24.231101 2042758 net.cpp:202] mul10 does not need backward computation. I1128 20:30:24.231185 2042758 net.cpp:202] input does not need backward computation. I1128 20:30:24.231258 2042758 net.cpp:244] This network produces output mul2 I1128 20:30:24.231277 2042758 net.cpp:257] Network initialization done. .I1128 20:30:24.237663 2042758 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/tmp47bp4zpb" snapshot_after_train: false I1128 20:30:24.237763 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmp47bp4zpb I1128 20:30:24.237985 2042758 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" } I1128 20:30:24.238122 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.238139 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.238148 2042758 net.cpp:382] data -> data I1128 20:30:24.238165 2042758 net.cpp:382] data -> label I1128 20:30:24.238184 2042758 net.cpp:124] Setting up data I1128 20:30:24.238190 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.238199 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.238205 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.238210 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.238224 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.238229 2042758 net.cpp:408] conv <- data I1128 20:30:24.238240 2042758 net.cpp:382] conv -> conv I1128 20:30:24.238276 2042758 net.cpp:124] Setting up conv I1128 20:30:24.238281 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.238287 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.238302 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.238312 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.238319 2042758 net.cpp:408] ip <- conv I1128 20:30:24.238330 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.238474 2042758 net.cpp:124] Setting up ip I1128 20:30:24.238479 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.238484 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.238492 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.238499 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.238503 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.238507 2042758 net.cpp:408] loss <- label I1128 20:30:24.238513 2042758 net.cpp:382] loss -> loss I1128 20:30:24.238523 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.238538 2042758 net.cpp:124] Setting up loss I1128 20:30:24.238541 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.238546 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.238559 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.238564 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.238571 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.238579 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.238585 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.238595 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.238605 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.238960 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp47bp4zpb I1128 20:30:24.238988 2042758 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" } I1128 20:30:24.239305 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.239341 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.239434 2042758 net.cpp:382] data -> data I1128 20:30:24.239524 2042758 net.cpp:382] data -> label I1128 20:30:24.239557 2042758 net.cpp:124] Setting up data I1128 20:30:24.239642 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.239696 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.239707 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.239712 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.239766 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.239778 2042758 net.cpp:408] conv <- data I1128 20:30:24.239789 2042758 net.cpp:382] conv -> conv I1128 20:30:24.239868 2042758 net.cpp:124] Setting up conv I1128 20:30:24.239879 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.239885 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.239895 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.239902 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.239907 2042758 net.cpp:408] ip <- conv I1128 20:30:24.239964 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.240103 2042758 net.cpp:124] Setting up ip I1128 20:30:24.240108 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.240113 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.240119 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.240126 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.240130 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.240134 2042758 net.cpp:408] loss <- label I1128 20:30:24.240140 2042758 net.cpp:382] loss -> loss I1128 20:30:24.240151 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.240164 2042758 net.cpp:124] Setting up loss I1128 20:30:24.240167 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.240172 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.240181 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.240185 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.240190 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.240193 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.240198 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.240202 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.240208 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.240229 2042758 solver.cpp:57] Solver scaffolding done. I1128 20:30:24.240342 2042758 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/tmp47bp4zpb" snapshot_after_train: false I1128 20:30:24.240373 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmp47bp4zpb I1128 20:30:24.240465 2042758 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" } I1128 20:30:24.240550 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.240558 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.240566 2042758 net.cpp:382] data -> data I1128 20:30:24.240576 2042758 net.cpp:382] data -> label I1128 20:30:24.240590 2042758 net.cpp:124] Setting up data I1128 20:30:24.240598 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.240607 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.240615 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.240622 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.240633 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.240639 2042758 net.cpp:408] conv <- data I1128 20:30:24.240648 2042758 net.cpp:382] conv -> conv I1128 20:30:24.240681 2042758 net.cpp:124] Setting up conv I1128 20:30:24.240687 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.240700 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.240711 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.240720 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.240725 2042758 net.cpp:408] ip <- conv I1128 20:30:24.240734 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.240897 2042758 net.cpp:124] Setting up ip I1128 20:30:24.240904 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.240911 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.240921 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.240928 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.240933 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.240940 2042758 net.cpp:408] loss <- label I1128 20:30:24.240947 2042758 net.cpp:382] loss -> loss I1128 20:30:24.240957 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.240972 2042758 net.cpp:124] Setting up loss I1128 20:30:24.240978 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.240983 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.240991 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.240996 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.241003 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.241008 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.241015 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.241026 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.241036 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.241165 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp47bp4zpb I1128 20:30:24.241223 2042758 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" } I1128 20:30:24.241565 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.241595 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.241602 2042758 net.cpp:382] data -> data I1128 20:30:24.241662 2042758 net.cpp:382] data -> label I1128 20:30:24.241684 2042758 net.cpp:124] Setting up data I1128 20:30:24.241691 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.241755 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.241760 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.241828 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.241899 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.241912 2042758 net.cpp:408] conv <- data I1128 20:30:24.241921 2042758 net.cpp:382] conv -> conv I1128 20:30:24.241994 2042758 net.cpp:124] Setting up conv I1128 20:30:24.242007 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.242012 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.242080 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.242096 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.242101 2042758 net.cpp:408] ip <- conv I1128 20:30:24.242108 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.242267 2042758 net.cpp:124] Setting up ip I1128 20:30:24.242274 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.242285 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.242295 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.242305 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.242316 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.242323 2042758 net.cpp:408] loss <- label I1128 20:30:24.242332 2042758 net.cpp:382] loss -> loss I1128 20:30:24.242344 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.242359 2042758 net.cpp:124] Setting up loss I1128 20:30:24.242365 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.242372 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.242383 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.242390 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.242396 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.242404 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.242415 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.242425 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.242436 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.242467 2042758 solver.cpp:57] Solver scaffolding done. I1128 20:30:24.243115 2042758 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I1128 20:30:24.244304 2042758 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/tmpbwxkcs7x" snapshot_after_train: false I1128 20:30:24.244380 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmpbwxkcs7x I1128 20:30:24.244629 2042758 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" } I1128 20:30:24.244788 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.244809 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.244906 2042758 net.cpp:382] data -> data I1128 20:30:24.244933 2042758 net.cpp:382] data -> label I1128 20:30:24.245003 2042758 net.cpp:124] Setting up data I1128 20:30:24.245018 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.245025 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.245079 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.245085 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.245213 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.245227 2042758 net.cpp:408] conv <- data I1128 20:30:24.245288 2042758 net.cpp:382] conv -> conv I1128 20:30:24.245389 2042758 net.cpp:124] Setting up conv I1128 20:30:24.245400 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.245406 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.245419 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.245427 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.245431 2042758 net.cpp:408] ip <- conv I1128 20:30:24.245440 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.245577 2042758 net.cpp:124] Setting up ip I1128 20:30:24.245582 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.245587 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.245594 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.245601 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.245612 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.245620 2042758 net.cpp:408] loss <- label I1128 20:30:24.245630 2042758 net.cpp:382] loss -> loss I1128 20:30:24.245641 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.245658 2042758 net.cpp:124] Setting up loss I1128 20:30:24.245664 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.245671 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.245684 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.245692 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.245699 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.245705 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.245712 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.245718 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.245726 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.245852 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpbwxkcs7x I1128 20:30:24.245872 2042758 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" } I1128 20:30:24.245957 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.245967 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.245976 2042758 net.cpp:382] data -> data I1128 20:30:24.245990 2042758 net.cpp:382] data -> label I1128 20:30:24.246006 2042758 net.cpp:124] Setting up data I1128 20:30:24.246013 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.246145 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.246151 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.246156 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.246167 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.246171 2042758 net.cpp:408] conv <- data I1128 20:30:24.246179 2042758 net.cpp:382] conv -> conv I1128 20:30:24.246207 2042758 net.cpp:124] Setting up conv I1128 20:30:24.246213 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.246219 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.246229 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.246237 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.246241 2042758 net.cpp:408] ip <- conv I1128 20:30:24.246248 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.246393 2042758 net.cpp:124] Setting up ip I1128 20:30:24.246399 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.246410 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.246419 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.246428 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.246431 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.246438 2042758 net.cpp:408] loss <- label I1128 20:30:24.246445 2042758 net.cpp:382] loss -> loss I1128 20:30:24.246457 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.246472 2042758 net.cpp:124] Setting up loss I1128 20:30:24.246479 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.246486 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.246503 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.246508 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.246513 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.246518 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.246527 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.246536 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.246548 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.246573 2042758 solver.cpp:57] Solver scaffolding done. I1128 20:30:24.246666 2042758 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/tmpbwxkcs7x" snapshot_after_train: false I1128 20:30:24.246703 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmpbwxkcs7x I1128 20:30:24.246918 2042758 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" } I1128 20:30:24.247020 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.247097 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.247104 2042758 net.cpp:382] data -> data I1128 20:30:24.247175 2042758 net.cpp:382] data -> label I1128 20:30:24.247195 2042758 net.cpp:124] Setting up data I1128 20:30:24.247200 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.247208 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.247215 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.247220 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.247229 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.247238 2042758 net.cpp:408] conv <- data I1128 20:30:24.247246 2042758 net.cpp:382] conv -> conv I1128 20:30:24.247277 2042758 net.cpp:124] Setting up conv I1128 20:30:24.247287 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.247294 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.247308 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.247318 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.247325 2042758 net.cpp:408] ip <- conv I1128 20:30:24.247334 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.247478 2042758 net.cpp:124] Setting up ip I1128 20:30:24.247483 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.247488 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.247495 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.247503 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.247506 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.247510 2042758 net.cpp:408] loss <- label I1128 20:30:24.247515 2042758 net.cpp:382] loss -> loss I1128 20:30:24.247524 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.247535 2042758 net.cpp:124] Setting up loss I1128 20:30:24.247539 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.247545 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.247551 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.247555 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.247560 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.247565 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.247568 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.247572 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.247579 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.247678 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpbwxkcs7x I1128 20:30:24.247695 2042758 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" } I1128 20:30:24.247931 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.247946 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.247956 2042758 net.cpp:382] data -> data I1128 20:30:24.247970 2042758 net.cpp:382] data -> label I1128 20:30:24.247985 2042758 net.cpp:124] Setting up data I1128 20:30:24.247992 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.248000 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.248008 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.248013 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.248026 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.248032 2042758 net.cpp:408] conv <- data I1128 20:30:24.248042 2042758 net.cpp:382] conv -> conv I1128 20:30:24.248073 2042758 net.cpp:124] Setting up conv I1128 20:30:24.248080 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.248090 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.248104 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.248114 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.248121 2042758 net.cpp:408] ip <- conv I1128 20:30:24.248131 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.248374 2042758 net.cpp:124] Setting up ip I1128 20:30:24.248392 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.248401 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.248476 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.248495 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.248503 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.248586 2042758 net.cpp:408] loss <- label I1128 20:30:24.248661 2042758 net.cpp:382] loss -> loss I1128 20:30:24.248685 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.248764 2042758 net.cpp:124] Setting up loss I1128 20:30:24.248777 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.248785 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.248863 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.248931 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.248945 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.249007 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.249022 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.249083 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.249100 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.249301 2042758 solver.cpp:57] Solver scaffolding done. .I1128 20:30:24.251492 2042758 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/tmpdxn_ppu_" snapshot_after_train: false I1128 20:30:24.251560 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmpdxn_ppu_ I1128 20:30:24.251724 2042758 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" } I1128 20:30:24.251822 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.251837 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.251843 2042758 net.cpp:382] data -> data I1128 20:30:24.251857 2042758 net.cpp:382] data -> label I1128 20:30:24.251871 2042758 net.cpp:124] Setting up data I1128 20:30:24.251876 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.251883 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.251889 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.251895 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.251906 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.251911 2042758 net.cpp:408] conv <- data I1128 20:30:24.251920 2042758 net.cpp:382] conv -> conv I1128 20:30:24.251956 2042758 net.cpp:124] Setting up conv I1128 20:30:24.251962 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.251968 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.251986 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.251996 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.252002 2042758 net.cpp:408] ip <- conv I1128 20:30:24.252009 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.252153 2042758 net.cpp:124] Setting up ip I1128 20:30:24.252159 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.252166 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.252175 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.252184 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.252189 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.252194 2042758 net.cpp:408] loss <- label I1128 20:30:24.252200 2042758 net.cpp:382] loss -> loss I1128 20:30:24.252211 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.252228 2042758 net.cpp:124] Setting up loss I1128 20:30:24.252233 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.252240 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.252252 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.252257 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.252264 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.252269 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.252275 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.252282 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.252296 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.252490 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpdxn_ppu_ I1128 20:30:24.252528 2042758 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" } I1128 20:30:24.252643 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.252655 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.252663 2042758 net.cpp:382] data -> data I1128 20:30:24.252676 2042758 net.cpp:382] data -> label I1128 20:30:24.252687 2042758 net.cpp:124] Setting up data I1128 20:30:24.252692 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.252698 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.252704 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.252709 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.252718 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.252722 2042758 net.cpp:408] conv <- data I1128 20:30:24.252729 2042758 net.cpp:382] conv -> conv I1128 20:30:24.252756 2042758 net.cpp:124] Setting up conv I1128 20:30:24.252761 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.252768 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.252777 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.252785 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.252790 2042758 net.cpp:408] ip <- conv I1128 20:30:24.252796 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.253113 2042758 net.cpp:124] Setting up ip I1128 20:30:24.253130 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.253139 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.253151 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.253268 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.253278 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.253288 2042758 net.cpp:408] loss <- label I1128 20:30:24.253295 2042758 net.cpp:382] loss -> loss I1128 20:30:24.253309 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.253327 2042758 net.cpp:124] Setting up loss I1128 20:30:24.253334 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.253412 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.253423 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.253429 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.253435 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.253440 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.253446 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.253453 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.253463 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.253492 2042758 solver.cpp:57] Solver scaffolding done. I1128 20:30:24.253604 2042758 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/tmpdxn_ppu_" snapshot_after_train: false I1128 20:30:24.253643 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmpdxn_ppu_ I1128 20:30:24.253767 2042758 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" } I1128 20:30:24.254027 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.254048 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.254110 2042758 net.cpp:382] data -> data I1128 20:30:24.254130 2042758 net.cpp:382] data -> label I1128 20:30:24.254251 2042758 net.cpp:124] Setting up data I1128 20:30:24.254261 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.254318 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.254330 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.254338 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.254451 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.254462 2042758 net.cpp:408] conv <- data I1128 20:30:24.254523 2042758 net.cpp:382] conv -> conv I1128 20:30:24.254626 2042758 net.cpp:124] Setting up conv I1128 20:30:24.254639 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.254648 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.254781 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.254798 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.254926 2042758 net.cpp:408] ip <- conv I1128 20:30:24.254997 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.255228 2042758 net.cpp:124] Setting up ip I1128 20:30:24.255245 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.255255 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.255370 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.255380 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.255386 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.255393 2042758 net.cpp:408] loss <- label I1128 20:30:24.255405 2042758 net.cpp:382] loss -> loss I1128 20:30:24.255416 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.255442 2042758 net.cpp:124] Setting up loss I1128 20:30:24.255447 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.255453 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.255465 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.255470 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.255475 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.255481 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.255487 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.255493 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.255501 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.255653 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpdxn_ppu_ I1128 20:30:24.255676 2042758 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" } I1128 20:30:24.255946 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.255968 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.256037 2042758 net.cpp:382] data -> data I1128 20:30:24.256062 2042758 net.cpp:382] data -> label I1128 20:30:24.256213 2042758 net.cpp:124] Setting up data I1128 20:30:24.256232 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.256240 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.256247 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.256253 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.256268 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.256273 2042758 net.cpp:408] conv <- data I1128 20:30:24.256283 2042758 net.cpp:382] conv -> conv I1128 20:30:24.256318 2042758 net.cpp:124] Setting up conv I1128 20:30:24.256325 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.256333 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.256345 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.256354 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.256359 2042758 net.cpp:408] ip <- conv I1128 20:30:24.256367 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.256536 2042758 net.cpp:124] Setting up ip I1128 20:30:24.256543 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.256549 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.256565 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.256573 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.256587 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.256593 2042758 net.cpp:408] loss <- label I1128 20:30:24.256604 2042758 net.cpp:382] loss -> loss I1128 20:30:24.256644 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.256661 2042758 net.cpp:124] Setting up loss I1128 20:30:24.256666 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.256678 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.256691 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.256695 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.256701 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.256707 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.256713 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.256723 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.256732 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.256759 2042758 solver.cpp:57] Solver scaffolding done. I1128 20:30:24.257447 2042758 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I1128 20:30:24.257755 2042758 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I1128 20:30:24.258677 2042758 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/tmps8ynhm28" snapshot_after_train: false I1128 20:30:24.258741 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmps8ynhm28 I1128 20:30:24.258934 2042758 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" } I1128 20:30:24.259096 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.259117 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.259181 2042758 net.cpp:382] data -> data I1128 20:30:24.259204 2042758 net.cpp:382] data -> label I1128 20:30:24.259343 2042758 net.cpp:124] Setting up data I1128 20:30:24.259359 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.259368 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.259377 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.259382 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.259395 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.259402 2042758 net.cpp:408] conv <- data I1128 20:30:24.259411 2042758 net.cpp:382] conv -> conv I1128 20:30:24.259447 2042758 net.cpp:124] Setting up conv I1128 20:30:24.259454 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.259459 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.259472 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.259483 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.259487 2042758 net.cpp:408] ip <- conv I1128 20:30:24.259496 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.259646 2042758 net.cpp:124] Setting up ip I1128 20:30:24.259653 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.259660 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.259668 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.259676 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.259681 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.259687 2042758 net.cpp:408] loss <- label I1128 20:30:24.259693 2042758 net.cpp:382] loss -> loss I1128 20:30:24.259701 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.259718 2042758 net.cpp:124] Setting up loss I1128 20:30:24.259722 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.259728 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.259744 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.259750 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.259757 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.259763 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.259768 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.259776 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.259891 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.260063 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmps8ynhm28 I1128 20:30:24.260149 2042758 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" } I1128 20:30:24.260304 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.260321 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.260408 2042758 net.cpp:382] data -> data I1128 20:30:24.260461 2042758 net.cpp:382] data -> label I1128 20:30:24.260515 2042758 net.cpp:124] Setting up data I1128 20:30:24.260526 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.260587 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.260599 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.260607 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.260731 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.260744 2042758 net.cpp:408] conv <- data I1128 20:30:24.260808 2042758 net.cpp:382] conv -> conv I1128 20:30:24.260891 2042758 net.cpp:124] Setting up conv I1128 20:30:24.260902 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.260959 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.261027 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.261044 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.261050 2042758 net.cpp:408] ip <- conv I1128 20:30:24.261058 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.261338 2042758 net.cpp:124] Setting up ip I1128 20:30:24.261345 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.261354 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.261365 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.261374 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.261379 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.261387 2042758 net.cpp:408] loss <- label I1128 20:30:24.261394 2042758 net.cpp:382] loss -> loss I1128 20:30:24.261405 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.261422 2042758 net.cpp:124] Setting up loss I1128 20:30:24.261427 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.261440 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.261449 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.261454 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.261461 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.261466 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.261472 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.261479 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.261488 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.261518 2042758 solver.cpp:57] Solver scaffolding done. I1128 20:30:24.261698 2042758 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/tmps8ynhm28" snapshot_after_train: false I1128 20:30:24.261742 2042758 solver.cpp:102] Creating training net from net file: /tmp/tmps8ynhm28 I1128 20:30:24.261943 2042758 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" } I1128 20:30:24.262109 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.262130 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.262185 2042758 net.cpp:382] data -> data I1128 20:30:24.262209 2042758 net.cpp:382] data -> label I1128 20:30:24.262347 2042758 net.cpp:124] Setting up data I1128 20:30:24.262367 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.262375 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.262451 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.262516 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.262591 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.262604 2042758 net.cpp:408] conv <- data I1128 20:30:24.262670 2042758 net.cpp:382] conv -> conv I1128 20:30:24.262766 2042758 net.cpp:124] Setting up conv I1128 20:30:24.262778 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.262845 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.262926 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.262944 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.263011 2042758 net.cpp:408] ip <- conv I1128 20:30:24.263082 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.263366 2042758 net.cpp:124] Setting up ip I1128 20:30:24.263381 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.263389 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.263450 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.263465 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.263473 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.263478 2042758 net.cpp:408] loss <- label I1128 20:30:24.263546 2042758 net.cpp:382] loss -> loss I1128 20:30:24.263566 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.263582 2042758 net.cpp:124] Setting up loss I1128 20:30:24.263588 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.263600 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.263612 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.263617 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.263621 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.263633 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.263638 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.263643 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.263649 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.263777 2042758 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmps8ynhm28 I1128 20:30:24.263798 2042758 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" } I1128 20:30:24.263974 2042758 layer_factory.hpp:77] Creating layer data I1128 20:30:24.263994 2042758 net.cpp:86] Creating Layer data I1128 20:30:24.264003 2042758 net.cpp:382] data -> data I1128 20:30:24.264079 2042758 net.cpp:382] data -> label I1128 20:30:24.264093 2042758 net.cpp:124] Setting up data I1128 20:30:24.264101 2042758 net.cpp:131] Top shape: 5 2 3 4 (120) I1128 20:30:24.264168 2042758 net.cpp:131] Top shape: 5 1 1 1 (5) I1128 20:30:24.264176 2042758 net.cpp:139] Memory required for data: 500 I1128 20:30:24.264242 2042758 layer_factory.hpp:77] Creating layer conv I1128 20:30:24.264304 2042758 net.cpp:86] Creating Layer conv I1128 20:30:24.264318 2042758 net.cpp:408] conv <- data I1128 20:30:24.264329 2042758 net.cpp:382] conv -> conv I1128 20:30:24.264461 2042758 net.cpp:124] Setting up conv I1128 20:30:24.264472 2042758 net.cpp:131] Top shape: 5 11 8 9 (3960) I1128 20:30:24.264528 2042758 net.cpp:139] Memory required for data: 16340 I1128 20:30:24.264603 2042758 layer_factory.hpp:77] Creating layer ip I1128 20:30:24.264621 2042758 net.cpp:86] Creating Layer ip I1128 20:30:24.264680 2042758 net.cpp:408] ip <- conv I1128 20:30:24.264772 2042758 net.cpp:382] ip -> ip_blob I1128 20:30:24.265033 2042758 net.cpp:124] Setting up ip I1128 20:30:24.265040 2042758 net.cpp:131] Top shape: 5 13 (65) I1128 20:30:24.265048 2042758 net.cpp:139] Memory required for data: 16600 I1128 20:30:24.265059 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.265067 2042758 net.cpp:86] Creating Layer loss I1128 20:30:24.265072 2042758 net.cpp:408] loss <- ip_blob I1128 20:30:24.265079 2042758 net.cpp:408] loss <- label I1128 20:30:24.265085 2042758 net.cpp:382] loss -> loss I1128 20:30:24.265095 2042758 layer_factory.hpp:77] Creating layer loss I1128 20:30:24.265112 2042758 net.cpp:124] Setting up loss I1128 20:30:24.265118 2042758 net.cpp:131] Top shape: (1) I1128 20:30:24.265125 2042758 net.cpp:134] with loss weight 1 I1128 20:30:24.265134 2042758 net.cpp:139] Memory required for data: 16604 I1128 20:30:24.265141 2042758 net.cpp:200] loss needs backward computation. I1128 20:30:24.265147 2042758 net.cpp:200] ip needs backward computation. I1128 20:30:24.265153 2042758 net.cpp:200] conv needs backward computation. I1128 20:30:24.265161 2042758 net.cpp:202] data does not need backward computation. I1128 20:30:24.265166 2042758 net.cpp:244] This network produces output loss I1128 20:30:24.265174 2042758 net.cpp:257] Network initialization done. I1128 20:30:24.265216 2042758 solver.cpp:57] Solver scaffolding done. I1128 20:30:24.265776 2042758 solver.cpp:289] Solving testnet I1128 20:30:24.265786 2042758 solver.cpp:290] Learning Rate Policy: inv I1128 20:30:24.265899 2042758 solver.cpp:347] Iteration 0, Testing net (#0) I1128 20:30:24.267552 2042758 solver.cpp:414] Test net output #0: loss = 87.0649 (* 1 = 87.0649 loss) I1128 20:30:24.268040 2042758 solver.cpp:239] Iteration 0 (0 iter/s, 0.002s/100 iters), loss = 87.3365 I1128 20:30:24.268070 2042758 solver.cpp:258] Train net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1128 20:30:24.268146 2042758 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I1128 20:30:24.278916 2042758 solver.cpp:347] Iteration 10, Testing net (#0) I1128 20:30:24.280683 2042758 solver.cpp:414] Test net output #0: loss = 72.4531 (* 1 = 72.4531 loss) I1128 20:30:24.290028 2042758 solver.cpp:347] Iteration 20, Testing net (#0) I1128 20:30:24.291792 2042758 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1128 20:30:24.308894 2042758 solver.cpp:347] Iteration 30, Testing net (#0) I1128 20:30:24.310616 2042758 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1128 20:30:24.325353 2042758 solver.cpp:347] Iteration 40, Testing net (#0) I1128 20:30:24.327210 2042758 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1128 20:30:24.337836 2042758 solver.cpp:347] Iteration 50, Testing net (#0) I1128 20:30:24.339730 2042758 solver.cpp:414] Test net output #0: loss = 85.2998 (* 1 = 85.2998 loss) I1128 20:30:24.358696 2042758 solver.cpp:347] Iteration 60, Testing net (#0) I1128 20:30:24.360590 2042758 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1128 20:30:24.372735 2042758 solver.cpp:347] Iteration 70, Testing net (#0) I1128 20:30:24.374702 2042758 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1128 20:30:24.387136 2042758 solver.cpp:347] Iteration 80, Testing net (#0) I1128 20:30:24.388800 2042758 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1128 20:30:24.395992 2042758 solver.cpp:347] Iteration 90, Testing net (#0) I1128 20:30:24.397715 2042758 solver.cpp:414] Test net output #0: loss = 86.0843 (* 1 = 86.0843 loss) I1128 20:30:24.412814 2042758 solver.cpp:327] Iteration 100, loss = 51.5943 I1128 20:30:24.412891 2042758 solver.cpp:347] Iteration 100, Testing net (#0) I1128 20:30:24.414717 2042758 solver.cpp:414] Test net output #0: loss = 87.1567 (* 1 = 87.1567 loss) I1128 20:30:24.414738 2042758 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 22.885s 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 \ --buildsystem=cmake \ --with python3,bash-completion dh_testroot -O--buildsystem=cmake dh_prep -O--buildsystem=cmake 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 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'/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[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[4]: 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[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/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe 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'/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/convert_imageset.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/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/extract_features.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/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/upgrade_net_proto_text.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 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'/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'examples/CMakeFiles/convert_mnist_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[4]: Nothing to be done for '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[4]: Nothing to be done for 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/build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/contrastive_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/concat_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/clip_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/bnll_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/bias_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/batch_reindex_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/batch_norm_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/base_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/base_conv_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/argmax_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/accuracy_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/absval_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer_factory.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/internal_thread.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/filler.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/data_transformer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/common.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/caffe.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/blob.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/proto/caffe.pb.h -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/x86_64-linux-gnu/libcaffe.so.1.0.0 -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/x86_64-linux-gnu/libcaffe.so -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/x86_64-linux-gnu/libcaffeproto.a -- 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/bin/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/compute_image_mean -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_imageset -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/extract_features -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_net_proto_binary -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_net_proto_text -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_solver_proto_text -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_cifar_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/classification -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_siamese_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/classify.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/detect.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/draw_net.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/requirements.txt -- Installing: /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-tools-cpu/usr/bin/ dh_missing --list-missing dh_missing: usr/python/train.py exists in debian/tmp but is not installed to anywhere dh_missing: usr/python/draw_net.py exists in debian/tmp but is not installed to anywhere dh_missing: usr/python/detect.py exists in debian/tmp but is not installed to anywhere dh_missing: usr/python/classify.py exists in debian/tmp but is not installed to anywhere The following debhelper tools have reported what they installed (with files per package) * dh_install: caffe-cpu (0), caffe-doc (11), caffe-tools-cpu (11), libcaffe-cpu-dev (23), libcaffe-cpu1 (1), python3-caffe-cpu (2) If the missing files are installed by another tool, please file a bug against it. When filing the report, if the tool is not part of debhelper itself, please reference the "Logging helpers and dh_missing" section from the "PROGRAMMING" guide for debhelper (10.6.3+). (in the debhelper package: /usr/share/doc/debhelper/PROGRAMMING.gz) Be sure to test with dpkg-buildpackage -A/-B as the results may vary when only a subset is built For a short-term work-around: Add the files to debian/not-installed make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installdocs -O--buildsystem=cmake dh_installchangelogs -O--buildsystem=cmake dh_installexamples -O--buildsystem=cmake dh_installman -O--buildsystem=cmake dh_bash-completion -O--buildsystem=cmake 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-37m-x86_64-linux-gnu.so dh_numpy3 make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installinit -O--buildsystem=cmake dh_lintian -O--buildsystem=cmake dh_perl -O--buildsystem=cmake dh_link -O--buildsystem=cmake dh_strip_nondeterminism -O--buildsystem=cmake dh_compress -O--buildsystem=cmake 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--buildsystem=cmake -Ncaffe-cpu -Ncaffe-tools-cpu -Nlibcaffe-cpu1 -Nlibcaffe-cpu-dev -Npython3-caffe-cpu dh_missing -O--buildsystem=cmake dh_strip -O--buildsystem=cmake debian/rules override_dh_makeshlibs make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe-cpu -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -O--buildsystem=cmake dh_installdeb -O--buildsystem=cmake dh_gencontrol -O--buildsystem=cmake dpkg-gencontrol: warning: package caffe-cpu: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-cpu1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe-tools-cpu: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-cpu-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-cpu1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-tools-cpu: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O--buildsystem=cmake dh_builddeb -O--buildsystem=cmake dpkg-deb: building package 'caffe-cpu' in '../caffe-cpu_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-deb: building package 'libcaffe-cpu1' in '../libcaffe-cpu1_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-deb: building package 'python3-caffe-cpu-dbgsym' in '../python3-caffe-cpu-dbgsym_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-deb: building package 'libcaffe-cpu-dev' in '../libcaffe-cpu-dev_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-deb: building package 'libcaffe-cpu1-dbgsym' in '../libcaffe-cpu1-dbgsym_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-deb: building package 'caffe-tools-cpu' in '../caffe-tools-cpu_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-deb: building package 'caffe-tools-cpu-dbgsym' in '../caffe-tools-cpu-dbgsym_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-2_all.deb'. dpkg-deb: building package 'python3-caffe-cpu' in '../python3-caffe-cpu_1.0.0+git20180821.99bd997-2_amd64.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-2_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/1832359 and its subdirectories I: Current time: Sun Nov 28 20:34:15 -12 2021 I: pbuilder-time-stamp: 1638174855