I: pbuilder: network access will be disabled during build I: Current time: Mon Jan 2 04:57:22 +14 2023 I: pbuilder-time-stamp: 1672585042 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 Thu Dec 6 18:26:36 2018 +14 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/2636591/tmp/hooks/D01_modify_environment starting debug: Running on ionos5-amd64. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash Removing 'diversion of /bin/sh to /bin/sh.distrib by dash' Adding 'diversion of /bin/sh to /bin/sh.distrib by bash' Removing 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by dash' Adding 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by bash' I: Setting pbuilder2's login shell to /bin/bash I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other I: user script /srv/workspace/pbuilder/2636591/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/2636591/tmp/hooks/D02_print_environment starting I: set BASH=/bin/sh BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:hostcomplete:interactive_comments:progcomp:promptvars:sourcepath BASH_ALIASES=() BASH_ARGC=() BASH_ARGV=() BASH_CMDS=() BASH_LINENO=([0]="12" [1]="0") BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") BASH_VERSINFO=([0]="5" [1]="0" [2]="3" [3]="1" [4]="release" [5]="x86_64-pc-linux-gnu") BASH_VERSION='5.0.3(1)-release' BUILDDIR=/build BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=amd64 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=16' DIRSTACK=() DISTRIBUTION= EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=x86_64 HOST_ARCH=amd64 IFS=' ' INVOCATION_ID=ca3bf67b73b0483ab1e5726206f5a3d2 LANG=C LANGUAGE=et_EE:et LC_ALL=C MACHTYPE=x86_64-pc-linux-gnu MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnu PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=2636591 PS4='+ ' PWD=/ SHELL=/bin/bash SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix SHLVL=3 SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/tmp.yPlLzCDj65/pbuilderrc_7YiN --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/buster-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.yPlLzCDj65/b2 --logfile b2/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-14 UID=0 USER=root _='I: set' http_proxy=http://85.184.249.68:3128 I: uname -a Linux i-capture-the-hostname 5.14.0-0.bpo.2-amd64 #1 SMP Debian 5.14.9-2~bpo11+1 (2021-10-10) x86_64 GNU/Linux I: ls -l /bin total 5116 -rwxr-xr-x 1 root root 1168776 Apr 18 2019 bash -rwxr-xr-x 3 root root 38984 Jul 11 2019 bunzip2 -rwxr-xr-x 3 root root 38984 Jul 11 2019 bzcat lrwxrwxrwx 1 root root 6 Jul 11 2019 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2227 Jul 11 2019 bzdiff lrwxrwxrwx 1 root root 6 Jul 11 2019 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Jun 25 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 11 2019 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3641 Jul 11 2019 bzgrep -rwxr-xr-x 3 root root 38984 Jul 11 2019 bzip2 -rwxr-xr-x 1 root root 14328 Jul 11 2019 bzip2recover lrwxrwxrwx 1 root root 6 Jul 11 2019 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 11 2019 bzmore -rwxr-xr-x 1 root root 43744 Mar 1 2019 cat -rwxr-xr-x 1 root root 64320 Mar 1 2019 chgrp -rwxr-xr-x 1 root root 64288 Mar 1 2019 chmod -rwxr-xr-x 1 root root 72512 Mar 1 2019 chown -rwxr-xr-x 1 root root 146880 Mar 1 2019 cp -rwxr-xr-x 1 root root 121464 Jan 18 2019 dash -rwxr-xr-x 1 root root 109408 Mar 1 2019 date -rwxr-xr-x 1 root root 76712 Mar 1 2019 dd -rwxr-xr-x 1 root root 93744 Mar 1 2019 df -rwxr-xr-x 1 root root 138856 Mar 1 2019 dir -rwxr-xr-x 1 root root 84288 Jan 10 2019 dmesg lrwxrwxrwx 1 root root 8 Sep 27 2018 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Sep 27 2018 domainname -> hostname -rwxr-xr-x 1 root root 39520 Mar 1 2019 echo -rwxr-xr-x 1 root root 28 Jan 8 2019 egrep -rwxr-xr-x 1 root root 35424 Mar 1 2019 false -rwxr-xr-x 1 root root 28 Jan 8 2019 fgrep -rwxr-xr-x 1 root root 68880 Jan 10 2019 findmnt -rwsr-xr-x 1 root root 34896 Apr 23 2020 fusermount -rwxr-xr-x 1 root root 198976 Jan 8 2019 grep -rwxr-xr-x 2 root root 2345 Jan 6 2019 gunzip -rwxr-xr-x 1 root root 6375 Jan 6 2019 gzexe -rwxr-xr-x 1 root root 98048 Jan 6 2019 gzip -rwxr-xr-x 1 root root 26696 Sep 27 2018 hostname -rwxr-xr-x 1 root root 68552 Mar 1 2019 ln -rwxr-xr-x 1 root root 56760 Jul 27 2018 login -rwxr-xr-x 1 root root 138856 Mar 1 2019 ls -rwxr-xr-x 1 root root 108624 Jan 10 2019 lsblk -rwxr-xr-x 1 root root 89088 Mar 1 2019 mkdir -rwxr-xr-x 1 root root 68544 Mar 1 2019 mknod -rwxr-xr-x 1 root root 43808 Mar 1 2019 mktemp -rwxr-xr-x 1 root root 43008 Jan 10 2019 more -rwsr-xr-x 1 root root 51280 Jan 10 2019 mount -rwxr-xr-x 1 root root 14408 Jan 10 2019 mountpoint -rwxr-xr-x 1 root root 138728 Mar 1 2019 mv lrwxrwxrwx 1 root root 8 Sep 27 2018 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Feb 15 2019 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 39616 Mar 1 2019 pwd lrwxrwxrwx 1 root root 4 Apr 18 2019 rbash -> bash -rwxr-xr-x 1 root root 47776 Mar 1 2019 readlink -rwxr-xr-x 1 root root 68416 Mar 1 2019 rm -rwxr-xr-x 1 root root 47776 Mar 1 2019 rmdir -rwxr-xr-x 1 root root 23312 Jan 22 2019 run-parts -rwxr-xr-x 1 root root 122224 Dec 23 2018 sed lrwxrwxrwx 1 root root 4 Jan 2 04:57 sh -> bash lrwxrwxrwx 1 root root 4 Dec 11 18:21 sh.distrib -> dash -rwxr-xr-x 1 root root 39552 Mar 1 2019 sleep -rwxr-xr-x 1 root root 80672 Mar 1 2019 stty -rwsr-xr-x 1 root root 63568 Jan 10 2019 su -rwxr-xr-x 1 root root 35488 Mar 1 2019 sync -rwxr-xr-x 1 root root 445560 Apr 24 2019 tar -rwxr-xr-x 1 root root 14440 Jan 22 2019 tempfile -rwxr-xr-x 1 root root 97152 Mar 1 2019 touch -rwxr-xr-x 1 root root 35424 Mar 1 2019 true -rwxr-xr-x 1 root root 14328 Apr 23 2020 ulockmgr_server -rwsr-xr-x 1 root root 34888 Jan 10 2019 umount -rwxr-xr-x 1 root root 39584 Mar 1 2019 uname -rwxr-xr-x 2 root root 2345 Jan 6 2019 uncompress -rwxr-xr-x 1 root root 138856 Mar 1 2019 vdir -rwxr-xr-x 1 root root 34896 Jan 10 2019 wdctl -rwxr-xr-x 1 root root 946 Jan 22 2019 which lrwxrwxrwx 1 root root 8 Sep 27 2018 ypdomainname -> hostname -rwxr-xr-x 1 root root 1983 Jan 6 2019 zcat -rwxr-xr-x 1 root root 1677 Jan 6 2019 zcmp -rwxr-xr-x 1 root root 5879 Jan 6 2019 zdiff -rwxr-xr-x 1 root root 29 Jan 6 2019 zegrep -rwxr-xr-x 1 root root 29 Jan 6 2019 zfgrep -rwxr-xr-x 1 root root 2080 Jan 6 2019 zforce -rwxr-xr-x 1 root root 7584 Jan 6 2019 zgrep -rwxr-xr-x 1 root root 2205 Jan 6 2019 zless -rwxr-xr-x 1 root root 1841 Jan 6 2019 zmore -rwxr-xr-x 1 root root 4552 Jan 6 2019 znew I: user script /srv/workspace/pbuilder/2636591/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 9s (60.6 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 ... 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Setting up libwebpdemux2:amd64 (0.6.1-2+deb10u1) ... Setting up libedit2:amd64 (3.1-20181209-1) ... Setting up libboost-system-dev:amd64 (1.67.0.1) ... Setting up libsnappy-dev:amd64 (1.1.7-1) ... Setting up libpng-dev:amd64 (1.6.36-6) ... Setting up libaec-dev:amd64 (1.0.2-1) ... Setting up libavahi-common3:amd64 (0.7-4+deb10u1) ... Setting up libjpeg-dev (1:1.5.2-2+deb10u1) ... Setting up libdc1394-22:amd64 (2.2.5-1) ... Setting up libjbig-dev:amd64 (2.1-3.1+b2) ... Setting up bc (1.07.1-2+b1) ... Setting up libldap-2.4-2:amd64 (2.4.47+dfsg-3+deb10u6) ... Setting up m4 (1.4.18-2) ... Setting up libdap25:amd64 (3.20.3-1) ... Setting up libnss3:amd64 (2:3.42.1-1+deb10u3) ... Setting up libxcb-shm0:amd64 (1.13.1-2) ... Setting up libepsilon1:amd64 (0.9.2+dfsg-4) ... Setting up libhwloc-plugins:amd64 (1.11.12-3) ... Setting up libllvm6.0:amd64 (1:6.0.1-10) ... Setting up libdapserver7v5:amd64 (3.20.3-1) ... Setting up libclang1-6.0:amd64 (1:6.0.1-10) ... 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Setting up libtiff-dev:amd64 (4.1.0+git191117-2~deb10u2) ... Setting up libgdcm2.8:amd64 (2.8.8-9) ... Setting up libxcb-sync1:amd64 (1.13.1-2) ... Setting up libkmlregionator1:amd64 (1.3.0-7) ... Setting up libhdf5-103:amd64 (1.10.4+repack-10) ... Setting up shared-mime-info (1.10-1) ... Setting up bsdmainutils (11.1.2+b1) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up libgssapi-krb5-2:amd64 (1.17-3+deb10u3) ... Setting up libgflags-dev (2.2.2-1) ... Setting up libopencv-video3.2:amd64 (3.2.0+dfsg-6) ... Setting up libcroco3:amd64 (0.6.12-3) ... Setting up libodbc1:amd64 (2.3.6-0.1) ... Setting up ucf (3.0038+nmu1) ... Setting up libtesseract4:amd64 (4.0.0-2) ... Setting up autoconf (2.69-11) ... Setting up libxcb-dri2-0:amd64 (1.13.1-2) ... Setting up libgvpr2 (2.40.1-6+deb10u1) ... Setting up libdrm2:amd64 (2.4.97-1) ... Setting up dwz (0.12-3) ... Setting up libgdcm2-dev (2.8.8-9) ... Setting up libopencv-flann3.2:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-core-dev:amd64 (3.2.0+dfsg-6) ... Setting up libva-drm2:amd64 (2.4.0-1) ... Setting up libprotoc-dev:amd64 (3.6.1.3-2) ... Setting up groff-base (1.22.4-3+deb10u1) ... Setting up libwayland-cursor0:amd64 (1.16.0-1) ... Setting up libcurl4:amd64 (7.64.0-4+deb10u2) ... Setting up libllvm7:amd64 (1:7.0.1-8+deb10u2) ... Setting up libx11-6:amd64 (2:1.6.7-1+deb10u2) ... Setting up libharfbuzz0b:amd64 (2.3.1-1) ... Setting up libxcomposite1:amd64 (1:0.4.4-2) ... Setting up libsm6:amd64 (2:1.2.3-1) ... Setting up libgoogle-glog0v5 (0.3.5-1) ... Setting up libopenmpt0:amd64 (0.4.3-1+deb10u1) ... Setting up libavahi-client3:amd64 (0.7-4+deb10u1) ... Setting up libboost-filesystem-dev:amd64 (1.67.0.1) ... Setting up libblas-dev:amd64 (3.8.0-2) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode Setting up libpython3-stdlib:amd64 (3.7.3-1) ... Setting up libdrm-amdgpu1:amd64 (2.4.97-1) ... Setting up libssh-gcrypt-4:amd64 (0.8.7-1+deb10u1) ... Setting up automake (1:1.16.1-4) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libxcb-dri3-0:amd64 (1.13.1-2) ... Setting up libpaper1:amd64 (1.1.28) ... Creating config file /etc/papersize with new version Setting up python3.7 (3.7.3-2+deb10u3) ... Setting up libopencv-flann-dev:amd64 (3.2.0+dfsg-6) ... Setting up libibverbs1:amd64 (22.1-1) ... Setting up libpython2.7:amd64 (2.7.16-2+deb10u1) ... 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Setting up libdrm-intel1:amd64 (2.4.97-1) ... Setting up libgl1-mesa-dri:amd64 (18.3.6-2+deb10u1) ... Setting up libhdf5-cpp-103:amd64 (1.10.4+repack-10) ... Setting up libarpack2:amd64 (3.7.0-2) ... Setting up libpq5:amd64 (11.13-0+deb10u1) ... Setting up libsuperlu5:amd64 (5.2.1+dfsg1-4) ... Setting up libxext6:amd64 (2:1.3.3-1+b2) ... Setting up libcurl3-gnutls:amd64 (7.64.0-4+deb10u2) ... Setting up libnetcdf13:amd64 (1:4.6.2-1) ... Setting up dconf-service (0.30.1-2) ... Setting up python3 (3.7.3-1) ... Setting up libpaper-utils (1.1.28) ... Setting up libatspi2.0-0:amd64 (2.30.0-7) ... Setting up man-db (2.8.5-2) ... Not building database; man-db/auto-update is not 'true'. Created symlink /etc/systemd/system/timers.target.wants/man-db.timer -> /lib/systemd/system/man-db.timer. Setting up python2 (2.7.16-1) ... Setting up libopencv-ts-dev:amd64 (3.2.0+dfsg-6) ... Setting up python3.7-dev (3.7.3-2+deb10u3) ... Setting up libnetcdf-c++4 (4.2-11) ... Setting up python3-tz (2019.1-1) ... Setting up libxxf86vm1:amd64 (1:1.1.4-1+b2) ... Setting up python3-cloudpickle (0.8.0-1) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up python3-six (1.12.0-1) ... Setting up tex-common (6.11) ... update-language: texlive-base not installed and configured, doing nothing! Setting up libatk-bridge2.0-0:amd64 (2.30.0-5) ... Setting up python3-pil:amd64 (5.4.1-2+deb10u2) ... Setting up libpython-stdlib:amd64 (2.7.16-1) ... Setting up python3-decorator (4.3.0-1.1) ... Setting up python3-pygments (2.3.1+dfsg-1+deb10u2) ... Setting up python3-wcwidth (0.1.7+dfsg1-3) ... Setting up python3-pyparsing (2.2.0+dfsg1-2) ... Setting up libxfixes3:amd64 (1:5.0.3-1) ... Setting up libopencv-imgproc-dev:amd64 (3.2.0+dfsg-6) ... Setting up libopencv-shape3.2:amd64 (3.2.0+dfsg-6) ... Setting up libunicode-linebreak-perl (0.0.20190101-1) ... Setting up libgdk-pixbuf2.0-0:amd64 (2.38.1+dfsg-1) ... Setting up python3-leveldb (0~svn68-3+b3) ... Setting up python3-cycler (0.10.0-1) ... Setting up libxinerama1:amd64 (2:1.1.4-2) ... Setting up libhdf5-dev (1.10.4+repack-10) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/pkgconfig/hdf5-serial.pc to provide /usr/lib/x86_64-linux-gnu/pkgconfig/hdf5.pc (hdf5.pc) in auto mode Setting up libxrandr2:amd64 (2:1.5.1-1) ... Setting up cython3 (0.29.2-2) ... Setting up git (1:2.20.1-2+deb10u3) ... Setting up libxt6:amd64 (1:1.1.5-1+b3) ... Setting up python3-pickleshare (0.7.5-1) ... Setting up libcups2:amd64 (2.2.10-6+deb10u4) ... Setting up libopencv-video-dev:amd64 (3.2.0+dfsg-6) ... Setting up libvdpau1:amd64 (1.1.1-10) ... Setting up libdapclient6v5:amd64 (3.20.3-1) ... Setting up cmake (3.13.4-1) ... Setting up python3-dateutil (2.7.3-3) ... Setting up libpython2-dev:amd64 (2.7.16-1) ... Setting up libgoogle-glog-dev (0.3.5-1) ... Setting up libxss1:amd64 (1:1.2.3-1) ... Setting up libfontconfig1:amd64 (2.13.1-2) ... Setting up libarmadillo9 (1:9.200.7+dfsg-1) ... Setting up python3-simplegeneric (0.8.1-2) ... Setting up libbluray2:amd64 (1:1.1.0-1) ... Setting up libva-x11-2:amd64 (2.4.0-1) ... Setting up python3-lib2to3 (3.7.3-1) ... Setting up python (2.7.16-1) ... Setting up python3-gflags (1.5.1-5) ... update-alternatives: using /usr/bin/python3-gflags2man to provide /usr/bin/gflags2man (gflags2man) in auto mode Setting up libboost-thread-dev:amd64 (1.67.0.1) ... Setting up python3-ptyprocess (0.6.0-1) ... Setting up python2.7-dev (2.7.16-2+deb10u1) ... Setting up python3-pkg-resources (40.8.0-1) ... Setting up python3-prompt-toolkit (1.0.15-1) ... Setting up python3-distutils (3.7.3-1) ... Setting up dh-python (3.20190308) ... Setting up libopencv-shape-dev:amd64 (3.2.0+dfsg-6) ... Setting up librdmacm1:amd64 (22.1-1) ... Setting up gtk-update-icon-cache (3.24.5-1) ... Setting up fontconfig (2.13.1-2) ... Regenerating fonts cache... done. Setting up libxft2:amd64 (2.3.2-2) ... Setting up libxmu6:amd64 (2:1.1.2-2+b3) ... 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Setting up python3-pexpect (4.6.0-1) ... Setting up python3-dev (3.7.3-1) ... Setting up libgd3:amd64 (2.2.5-5.2) ... Setting up python3-kiwisolver (1.0.1-2+b1) ... Setting up python3-numpy (1:1.16.2-1) ... Setting up python3-traitlets (4.3.2-1) ... Setting up libtheora0:amd64 (1.1.1+dfsg.1-15) ... Setting up libswscale5:amd64 (7:4.1.6-1~deb10u1) ... Setting up libcairo-gobject2:amd64 (1.16.0-4+deb10u1) ... Setting up python3-pywt (0.5.1-1.1+b3) ... Setting up libpangoft2-1.0-0:amd64 (1.42.4-8~deb10u1) ... Setting up python3-protobuf (3.6.1.3-2) ... Setting up libgtk-3-common (3.24.5-1) ... Setting up libpangocairo-1.0-0:amd64 (1.42.4-8~deb10u1) ... Setting up python-dev (2.7.16-1) ... Setting up libavutil-dev:amd64 (7:4.1.6-1~deb10u1) ... Setting up gsettings-desktop-schemas (3.28.1-1) ... Setting up libfabric1 (1.6.2-3) ... Setting up python3-matplotlib (3.0.2-2) ... Setting up libglx-mesa0:amd64 (18.3.6-2+deb10u1) ... Setting up python3-scipy (1.1.0-7) ... 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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-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 hostname: Name or service not known I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-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 -j16 "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/blob.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/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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/common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/common.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS 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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/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 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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/data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/data_layer.cpp [ 30%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/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 -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/deconv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/deconv_layer.cpp [ 30%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/dropout_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/dropout_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/dropout_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=] [ 32%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/dummy_data_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/dummy_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/dummy_data_layer.cpp [ 32%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/eltwise_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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/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 /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 test.testbin make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/test.testbin.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[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 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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 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' 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' make[5]: Entering directory 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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_argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_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 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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_batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.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_benchmark.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o cd /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 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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_image_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_image_data_layer.cpp [ 78%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_infogain_loss_layer.cpp.o cd 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make[3]: 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[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 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[4]: 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[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/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 81%] Built target caffe make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/depend make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.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/upgrade_solver_proto_text.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.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/compute_image_mean.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/depend make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.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/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 tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.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/upgrade_net_proto_text.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 -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_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/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake --color= Scanning dependencies of target upgrade_solver_proto_text Scanning dependencies of target compute_image_mean 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' 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]: 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]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/build make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.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/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 convert_imageset 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 Scanning dependencies of target caffe.bin 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/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/build [ 82%] Building CXX object tools/CMakeFiles/compute_image_mean.dir/compute_image_mean.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/compute_image_mean.dir/compute_image_mean.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/compute_image_mean.cpp Scanning dependencies of target convert_mnist_data 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 examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.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/extract_features.dir/build.make tools/CMakeFiles/extract_features.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 python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build Scanning dependencies of target upgrade_net_proto_text Scanning dependencies of target upgrade_net_proto_binary make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Scanning dependencies of target classification make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 82%] Building CXX object tools/CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.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/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]: Leaving 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]: 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/convert_imageset.dir/convert_imageset.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/convert_imageset.cpp make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' 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 [ 85%] Building CXX object tools/CMakeFiles/extract_features.dir/extract_features.cpp.o [ 85%] Building CXX object tools/CMakeFiles/caffe.bin.dir/caffe.cpp.o Scanning dependencies of target convert_mnist_siamese_data 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 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/extract_features.dir/extract_features.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/extract_features.cpp Scanning dependencies of target convert_cifar_data [ 87%] Building CXX object examples/CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.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/examples && /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_mnist_data.dir/mnist/convert_mnist_data.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/examples/mnist/convert_mnist_data.cpp make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f 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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 -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o -o siamese/convert_mnist_siamese_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb 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-Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o -o mnist/convert_mnist_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.3.2.0 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/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.3.2.0 /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 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/mnist/convert_mnist_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data.bin make[4]: 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/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.3.2.0 /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 [ 96%] Linking CXX executable upgrade_net_proto_text cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_text.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 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o -o upgrade_net_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem 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/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 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target upgrade_net_proto_binary make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target extract_features [100%] Linking CXX executable caffe cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.bin.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 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/caffe.bin.dir/caffe.cpp.o -o caffe ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem 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/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' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:104: warning: Found unknown command `\tanh' This is pdfTeX, Version 3.14159265-2.6-1.40.19 (TeX Live 2019/dev/Debian) (preloaded format=latex) restricted \write18 enabled. entering extended mode (./_formulas.tex LaTeX2e <2018-12-01> 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Rerun to get cross-references right. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on refman.pdf (272 pages, 1397816 bytes). Transcript written on refman.log. makeindex refman.idx This is makeindex, version 2.15 [TeX Live 2019/dev] (kpathsea + Thai support). Scanning input file refman.idx....done (719 entries accepted, 0 rejected). Sorting entries........done (7177 comparisons). Generating output file refman.ind....done (902 lines written, 0 warnings). Output written in refman.ind. 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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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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 -j16 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j16 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 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: 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' [ 1%] Built target gtest 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' [ 2%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997 && /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* Note: Randomizing tests' orders with a seed of 43389 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (194 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (16 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (29 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (73 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (29 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (14 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (15 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (21 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (73 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (471 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (274 ms) [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/1 (274 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill2D [ OK ] ConstantFillerTest/0.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill5D [ OK ] ConstantFillerTest/0.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [----------] 4 tests from ConstantFillerTest/0 (0 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (4 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (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) [----------] 10 tests from EltwiseLayerTest/0 (24 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (14 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (14 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (28 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (72 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (77 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (71 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (20 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (15 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (29 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (72 ms) [----------] 12 tests from SGDSolverTest/1 (418 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (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.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (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.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (3 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (1 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (14 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (75 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (71 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (71 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (14 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (19 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (14 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (14 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (28 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (72 ms) [----------] 12 tests from NesterovSolverTest/0 (397 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double [ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (0 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/1 (0 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (2 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (3 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (0 ms) [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [----------] 12 tests from DataTransformTest/1 (0 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (1 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (2846 ms) [----------] 5 tests from SPPLayerTest/0 (2848 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (216 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (242 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (458 ms total) [----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/1.TestGradientL1 [ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) [ RUN ] HingeLossLayerTest/1.TestGradientL2 [ OK ] HingeLossLayerTest/1.TestGradientL2 (0 ms) [----------] 2 tests from HingeLossLayerTest/1 (0 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (1 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (4208 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (2 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (604 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (54 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (310 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (294 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (4 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (53 ms) [----------] 9 tests from LSTMLayerTest/1 (5530 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) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (42 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (43 ms) [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (44 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [----------] 6 tests from XavierFillerTest/0 (129 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (273 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1186 ms) [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (782 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (2242 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float [ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup [ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (1 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/0 (1 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (5 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (2 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (3 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (3 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (1 ms) [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [----------] 10 tests from ConcatLayerTest/0 (14 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (7 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (8 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (8 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (0 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (23 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [----------] 3 tests from PaddingLayerUpgradeTest (3 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (11 ms) [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (9 ms) [----------] 2 tests from BilinearFillerTest/1 (20 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (1 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (285 ms) [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (83 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (274 ms) [----------] 7 tests from TileLayerTest/1 (643 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (74 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (15 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (15 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (20 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (15 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (77 ms) [----------] 8 tests from AdamSolverTest/1 (222 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (5 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (211 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (92 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (94 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (1 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (103 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (103 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (1 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (90 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (133 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [----------] 20 tests from BiasLayerTest/1 (833 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (15 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (75 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (19 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (14 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (80 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (16 ms) [----------] 8 tests from AdamSolverTest/0 (225 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (301 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (300 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [----------] 5 tests from BenchmarkTest/1 (601 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from GaussianFillerTest/0 (1 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) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (278 ms) [----------] 3 tests from FilterLayerTest/1 (278 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (5 ms) [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [----------] 3 tests from TanHLayerTest/1 (5 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (6 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (32 ms) [----------] 5 tests from MemoryDataLayerTest/0 (42 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (122 ms) [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/1 (122 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (1 ms) [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (1 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/0 (0 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (415 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (266 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (1 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (1792 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [----------] 11 tests from CropLayerTest/1 (2475 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (186 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (203 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (389 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (57 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (57 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (59 ms) [----------] 6 tests from MSRAFillerTest/0 (174 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (48 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (272 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (2 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (509 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (3418 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (294 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (48 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (6 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [----------] 9 tests from LSTMLayerTest/0 (4597 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (1 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (2812 ms) [----------] 5 tests from SPPLayerTest/1 (2813 ms total) [----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/1.TestInfogainLoss [ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) [ RUN ] InfogainLossLayerTest/1.TestGradient [ OK ] InfogainLossLayerTest/1.TestGradient (3 ms) [----------] 2 tests from InfogainLossLayerTest/1 (3 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (261 ms) [----------] 3 tests from FilterLayerTest/0 (261 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (1 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (0 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (2 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (1 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (2 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (4 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (0 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (4 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (0 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (1 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (3 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (2 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (3 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (1 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (1 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (1 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) [----------] 26 tests from NetTest/1 (36 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (73 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (15 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (18 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (15 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (78 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (73 ms) [----------] 8 tests from RMSPropSolverTest/0 (277 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (61 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (54 ms) [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (157 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (161 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (142 ms) [----------] 5 tests from ImageDataLayerTest/0 (576 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (32 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (16 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (77 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (80 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (77 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (30 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (76 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (23 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (17 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (16 ms) [----------] 12 tests from SGDSolverTest/0 (453 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (2 ms) [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [----------] 9 tests from AccuracyLayerTest/1 (6 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (15 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (14 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (14 ms) [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (13 ms) [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (13 ms) [----------] 5 tests from DBTest/1 (69 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from UniformFillerTest/0 (0 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (43 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (43 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (42 ms) [----------] 6 tests from XavierFillerTest/1 (128 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (1788 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (441 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (249 ms) [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (0 ms) [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [----------] 11 tests from CropLayerTest/0 (2478 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (3 ms) [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [----------] 6 tests from FlattenLayerTest/0 (3 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (41 ms) [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (45 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (170 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (171 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (163 ms) [----------] 5 tests from ImageDataLayerTest/1 (590 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (35 ms) [----------] 1 test from HDF5OutputLayerTest/0 (35 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (588 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (1793 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (263 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (313 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (936 ms) [----------] 8 tests from Im2colLayerTest/1 (3893 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (14 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (14 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (13 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (70 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (16 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (21 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (75 ms) [----------] 9 tests from AdaGradSolverTest/0 (230 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (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 (46 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (40 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (13 ms) [----------] 8 tests from SliceLayerTest/0 (100 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (1 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (3 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (4 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (1 ms) [----------] 3 tests from DummyDataLayerTest/0 (1 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (5 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (6 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (5 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (1 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (6 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (6 ms) [----------] 10 tests from EltwiseLayerTest/1 (29 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (631 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (1032 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (285 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (1949 ms) [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (362 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [----------] 8 tests from Im2colLayerTest/0 (4259 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (169 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (182 ms) [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (351 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (8 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (7 ms) [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (3 ms) [----------] 10 tests from PowerLayerTest/1 (26 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (141 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (264 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (244 ms) [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [----------] 6 tests from MVNLayerTest/1 (649 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (276 ms) [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (287 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (144 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [----------] 6 tests from MVNLayerTest/0 (708 ms total) [----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/0.TestGradient [ OK ] EuclideanLossLayerTest/0.TestGradient (1 ms) [ RUN ] EuclideanLossLayerTest/0.TestForward [ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) [----------] 2 tests from EuclideanLossLayerTest/0 (1 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [----------] 4 tests from BlobSimpleTest/0 (0 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (0 ms) [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (1 ms) [----------] 2 tests from InternalThreadTest (1 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (0 ms) [----------] 2 tests from HingeLossLayerTest/0 (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) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (3 ms) [----------] 1 test from HDF5OutputLayerTest/1 (3 ms total) [----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/0.TestGradient [ OK ] InfogainLossLayerTest/0.TestGradient (2 ms) [ RUN ] InfogainLossLayerTest/0.TestInfogainLoss [ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/0 (2 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (0 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (1 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (2 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (1 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (0 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (5 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (5 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (1 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (1 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (1 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (3 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (3 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (1 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (4 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (0 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (0 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (1 ms) [----------] 26 tests from NetTest/0 (40 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (288 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (1 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (289 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (98 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (1 ms) [----------] 7 tests from TileLayerTest/0 (677 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (203 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (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.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (96 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (127 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (392 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (101 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (6 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (132 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (132 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (116 ms) [----------] 22 tests from ScaleLayerTest/0 (1306 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (1 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (184 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (182 ms) [----------] 9 tests from InnerProductLayerTest/0 (367 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.Test [ OK ] SplitLayerTest/1.Test (0 ms) [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (7 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/1 (7 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (3 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (5 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (21 ms) [----------] 1 test from LayerFactoryTest/1 (21 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (10 ms) [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (13 ms) [----------] 2 tests from BilinearFillerTest/0 (23 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (1 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (0 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (2 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (1 ms) [----------] 8 tests from SplitLayerInsertionTest (5 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (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.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1461 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1376 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (770 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (1 ms) [----------] 8 tests from LRNLayerTest/0 (3617 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (35 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (112 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (51 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (3 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (2 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (1 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (4 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (6 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (1 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (1 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (5 ms) [----------] 14 tests from DataLayerTest/0 (227 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (1 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (1 ms) [----------] 1 test from LayerFactoryTest/0 (1 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (0 ms) [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (196 ms) [----------] 2 tests from SoftmaxLayerTest/0 (196 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (929 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (277 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (832 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (1165 ms) [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [----------] 11 tests from PoolingLayerTest/1 (3204 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (1 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (3 ms) [----------] 12 tests from ReshapeLayerTest/0 (4 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (245 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (123 ms) [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (6 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1118 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (112 ms) [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (1 ms) [----------] 6 tests from RNNLayerTest/1 (1605 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (2 ms) [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (3 ms) [----------] 10 tests from PowerLayerTest/0 (16 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (23 ms) [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (5 ms) [----------] 2 tests from HDF5DataLayerTest/0 (28 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (4 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (4 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (301 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [----------] 5 tests from BenchmarkTest/0 (601 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (1 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (3 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (8 ms) [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/0 (8 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (29 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (13 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (47 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms) [----------] 12 tests from ArgMaxLayerTest/1 (99 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (1 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (0 ms) [----------] 20 tests from FilterNetTest (5 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (13 ms) [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (19 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (21 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (20 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (21 ms) [----------] 5 tests from DBTest/0 (95 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [----------] 27 tests from ReductionLayerTest/0 (13 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (13 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (46 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (49 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) [----------] 8 tests from SliceLayerTest/1 (108 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (79 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (20 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (19 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (16 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (16 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (82 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (16 ms) [----------] 9 tests from AdaGradSolverTest/1 (256 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [----------] 27 tests from ReductionLayerTest/1 (15 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (0 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (16 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (78 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (16 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (24 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (18 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (32 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (77 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (16 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (81 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (78 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [----------] 12 tests from NesterovSolverTest/1 (442 ms total) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (0 ms) [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (144 ms) [----------] 2 tests from BatchReindexLayerTest/0 (144 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (1 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (4 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (4 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (3 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (6 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [----------] 10 tests from ConcatLayerTest/1 (18 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ 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) [----------] 4 tests from BlobSimpleTest/1 (0 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 CommonTest [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (0 ms) [----------] 2 tests from CommonTest (0 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (1 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (5 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (119 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (226 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (117 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (949 ms) [----------] 6 tests from RNNLayerTest/0 (1417 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (0 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (12 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (15 ms) [----------] 5 tests from EmbedLayerTest/1 (27 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (12 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (12 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (12 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (38 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (0 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (8 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (24 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (37 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (0 ms) [----------] 12 tests from ArgMaxLayerTest/0 (74 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ 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 (85 ms) [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (84 ms) [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (84 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [----------] 6 tests from MSRAFillerTest/1 (254 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (0 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1419 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (269 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (750 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (2439 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (1 ms) [----------] 1 test from SolverTest/0 (1 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (1 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (1 ms) [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (1 ms) [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (2 ms) [----------] 4 tests from NetUpgradeTest (5 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) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (3 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (4 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (4 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (129 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (5 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (1 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (1 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (133 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [----------] 58 tests from NeuronLayerTest/1 (351 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (99 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (92 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (178 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (6 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (116 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (305 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (91 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (115 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (113 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [----------] 22 tests from ScaleLayerTest/1 (1116 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (187 ms) [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [----------] 3 tests from BatchNormLayerTest/1 (187 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (1 ms) [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (193 ms) [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [----------] 3 tests from BatchNormLayerTest/0 (194 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (14 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (27 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (69 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (73 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (16 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (13 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (68 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (27 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (23 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (340 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (0 ms) [----------] 1 test from SolverTypeUpgradeTest (0 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (4 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (4 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (6 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (9 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (6 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (3 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (13 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (6 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (11 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (12 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (13 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (4 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (13 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (5 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (13 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (7 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (4 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (6 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (6 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (5 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (12 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (3 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (4 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (4 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (13 ms) [----------] 26 tests from IOTest (186 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (2 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [----------] 9 tests from AccuracyLayerTest/0 (5 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (24 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (431 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (682 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (6 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (83 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (708 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (22 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) [----------] 15 tests from ConvolutionLayerTest/0 (1959 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (5 ms) [----------] 3 tests from TanHLayerTest/0 (5 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (5 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (1 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (2 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (0 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (4 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (2 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (1 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (1 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (1 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (1 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (9 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (4 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (1 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (1 ms) [----------] 14 tests from DataLayerTest/1 (33 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 3 tests from SyncedMemoryTest [ RUN ] SyncedMemoryTest.TestCPUWrite [ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) [ RUN ] SyncedMemoryTest.TestAllocationCPU [ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) [ RUN ] SyncedMemoryTest.TestInitialization [ OK ] SyncedMemoryTest.TestInitialization (0 ms) [----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (1 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (2 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (135 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (2 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (134 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (2 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [----------] 58 tests from NeuronLayerTest/0 (340 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (1 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [----------] 12 tests from DataTransformTest/0 (1 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (5 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (5 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (3 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (4 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (4 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (29 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (2 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (2 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (3 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (19 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (4 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (99 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (110 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (92 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (218 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (142 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (94 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (109 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [----------] 20 tests from BiasLayerTest/0 (868 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (13 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (17 ms) [----------] 5 tests from EmbedLayerTest/0 (30 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (716 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (502 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (1 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (707 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (7 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (80 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (20 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (1 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (23 ms) [----------] 15 tests from ConvolutionLayerTest/1 (2060 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (18 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (81 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (20 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (73 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (72 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (14 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [----------] 8 tests from RMSPropSolverTest/1 (285 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1321 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1148 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (1 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (0 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (1002 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (1 ms) [----------] 8 tests from LRNLayerTest/1 (3473 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/1.TestFill5D [ OK ] GaussianFillerTest/1.TestFill5D (0 ms) [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (1 ms) [ RUN ] GaussianFillerTest/1.TestFill1D [ OK ] GaussianFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from GaussianFillerTest/1 (1 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (938 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (690 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (903 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (247 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [----------] 11 tests from PoolingLayerTest/0 (2778 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (5 ms) [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (18 ms) [----------] 2 tests from HDF5DataLayerTest/1 (23 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (0 ms) [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (3 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (42 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (1 ms) [----------] 5 tests from MemoryDataLayerTest/1 (47 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (73205 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 I0102 05:14:55.248502 3038403 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0102 05:14:55.248554 3038403 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I0102 05:14:55.248596 3038403 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0102 05:14:55.248603 3038403 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I0102 05:14:55.248611 3038403 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" } } I0102 05:14:55.248710 3038403 layer_factory.hpp:77] Creating layer deploy_data I0102 05:14:55.248739 3038403 net.cpp:86] Creating Layer deploy_data I0102 05:14:55.248749 3038403 net.cpp:382] deploy_data -> data I0102 05:14:55.248781 3038403 net.cpp:124] Setting up deploy_data I0102 05:14:55.248788 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.248800 3038403 net.cpp:139] Memory required for data: 400 I0102 05:14:55.248806 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.248816 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.248823 3038403 net.cpp:408] ip <- data I0102 05:14:55.248831 3038403 net.cpp:382] ip -> ip I0102 05:14:55.248869 3038403 net.cpp:124] Setting up ip I0102 05:14:55.248878 3038403 net.cpp:131] Top shape: 1 2 (2) I0102 05:14:55.248884 3038403 net.cpp:139] Memory required for data: 408 I0102 05:14:55.248910 3038403 layer_factory.hpp:77] Creating layer pred I0102 05:14:55.248921 3038403 net.cpp:86] Creating Layer pred I0102 05:14:55.248927 3038403 net.cpp:408] pred <- ip I0102 05:14:55.248936 3038403 net.cpp:382] pred -> pred I0102 05:14:55.248960 3038403 net.cpp:124] Setting up pred I0102 05:14:55.248979 3038403 net.cpp:131] Top shape: 1 2 (2) I0102 05:14:55.248986 3038403 net.cpp:139] Memory required for data: 416 I0102 05:14:55.248992 3038403 net.cpp:202] pred does not need backward computation. I0102 05:14:55.248999 3038403 net.cpp:202] ip does not need backward computation. I0102 05:14:55.249006 3038403 net.cpp:202] deploy_data does not need backward computation. I0102 05:14:55.249011 3038403 net.cpp:244] This network produces output pred I0102 05:14:55.249019 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.252499 3038403 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I0102 05:14:55.252521 3038403 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I0102 05:14:55.252530 3038403 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I0102 05:14:55.252537 3038403 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" } } I0102 05:14:55.252671 3038403 layer_factory.hpp:77] Creating layer train_data I0102 05:14:55.252701 3038403 net.cpp:86] Creating Layer train_data I0102 05:14:55.252712 3038403 net.cpp:382] train_data -> data I0102 05:14:55.252732 3038403 net.cpp:382] train_data -> label I0102 05:14:55.252753 3038403 net.cpp:124] Setting up train_data I0102 05:14:55.252760 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.252770 3038403 net.cpp:131] Top shape: 1 1 1 1 (1) I0102 05:14:55.252777 3038403 net.cpp:139] Memory required for data: 404 I0102 05:14:55.252784 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.252795 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.252801 3038403 net.cpp:408] ip <- data I0102 05:14:55.252811 3038403 net.cpp:382] ip -> ip I0102 05:14:55.252830 3038403 net.cpp:124] Setting up ip I0102 05:14:55.252836 3038403 net.cpp:131] Top shape: 1 2 (2) I0102 05:14:55.252843 3038403 net.cpp:139] Memory required for data: 412 I0102 05:14:55.252858 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.252871 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.252876 3038403 net.cpp:408] loss <- ip I0102 05:14:55.252882 3038403 net.cpp:408] loss <- label I0102 05:14:55.252892 3038403 net.cpp:382] loss -> loss I0102 05:14:55.252924 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.252947 3038403 net.cpp:124] Setting up loss I0102 05:14:55.252954 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.252961 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.253001 3038403 net.cpp:139] Memory required for data: 416 I0102 05:14:55.253007 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.253015 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.253022 3038403 net.cpp:202] train_data does not need backward computation. I0102 05:14:55.253027 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.253036 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.253777 3038403 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0102 05:14:55.253789 3038403 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I0102 05:14:55.253796 3038403 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0102 05:14:55.253803 3038403 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I0102 05:14:55.253809 3038403 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" } } I0102 05:14:55.253885 3038403 layer_factory.hpp:77] Creating layer val_data I0102 05:14:55.253899 3038403 net.cpp:86] Creating Layer val_data I0102 05:14:55.253907 3038403 net.cpp:382] val_data -> data I0102 05:14:55.253921 3038403 net.cpp:382] val_data -> label I0102 05:14:55.253937 3038403 net.cpp:124] Setting up val_data I0102 05:14:55.253943 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.253950 3038403 net.cpp:131] Top shape: 1 1 1 1 (1) I0102 05:14:55.253957 3038403 net.cpp:139] Memory required for data: 404 I0102 05:14:55.253962 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.253973 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.253978 3038403 net.cpp:408] ip <- data I0102 05:14:55.253986 3038403 net.cpp:382] ip -> ip I0102 05:14:55.254004 3038403 net.cpp:124] Setting up ip I0102 05:14:55.254010 3038403 net.cpp:131] Top shape: 1 2 (2) I0102 05:14:55.254016 3038403 net.cpp:139] Memory required for data: 412 I0102 05:14:55.254029 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.254040 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.254045 3038403 net.cpp:408] loss <- ip I0102 05:14:55.254051 3038403 net.cpp:408] loss <- label I0102 05:14:55.254060 3038403 net.cpp:382] loss -> loss I0102 05:14:55.254070 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.254091 3038403 net.cpp:124] Setting up loss I0102 05:14:55.254098 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.254104 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.254117 3038403 net.cpp:139] Memory required for data: 416 I0102 05:14:55.254122 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.254129 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.254137 3038403 net.cpp:202] val_data does not need backward computation. I0102 05:14:55.254141 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.254148 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.254845 3038403 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I0102 05:14:55.254858 3038403 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I0102 05:14:55.254864 3038403 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 } } I0102 05:14:55.254966 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.254978 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.254987 3038403 net.cpp:382] data -> data I0102 05:14:55.255003 3038403 net.cpp:124] Setting up data I0102 05:14:55.255010 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.255017 3038403 net.cpp:139] Memory required for data: 400 I0102 05:14:55.255025 3038403 layer_factory.hpp:77] Creating layer data_data_0_split I0102 05:14:55.255035 3038403 net.cpp:86] Creating Layer data_data_0_split I0102 05:14:55.255040 3038403 net.cpp:408] data_data_0_split <- data I0102 05:14:55.255048 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0102 05:14:55.255056 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0102 05:14:55.255065 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0102 05:14:55.255075 3038403 net.cpp:124] Setting up data_data_0_split I0102 05:14:55.255082 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.255088 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.255095 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.255101 3038403 net.cpp:139] Memory required for data: 1600 I0102 05:14:55.255105 3038403 layer_factory.hpp:77] Creating layer NoLevel I0102 05:14:55.255115 3038403 net.cpp:86] Creating Layer NoLevel I0102 05:14:55.255120 3038403 net.cpp:408] NoLevel <- data_data_0_split_0 I0102 05:14:55.255128 3038403 net.cpp:382] NoLevel -> NoLevel I0102 05:14:55.255146 3038403 net.cpp:124] Setting up NoLevel I0102 05:14:55.255151 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.255157 3038403 net.cpp:139] Memory required for data: 1604 I0102 05:14:55.255170 3038403 layer_factory.hpp:77] Creating layer Level0Only I0102 05:14:55.255180 3038403 net.cpp:86] Creating Layer Level0Only I0102 05:14:55.255185 3038403 net.cpp:408] Level0Only <- data_data_0_split_1 I0102 05:14:55.255195 3038403 net.cpp:382] Level0Only -> Level0Only I0102 05:14:55.255214 3038403 net.cpp:124] Setting up Level0Only I0102 05:14:55.255220 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.255228 3038403 net.cpp:139] Memory required for data: 1608 I0102 05:14:55.255239 3038403 layer_factory.hpp:77] Creating layer Level>=0 I0102 05:14:55.255250 3038403 net.cpp:86] Creating Layer Level>=0 I0102 05:14:55.255256 3038403 net.cpp:408] Level>=0 <- data_data_0_split_2 I0102 05:14:55.255264 3038403 net.cpp:382] Level>=0 -> Level>=0 I0102 05:14:55.255281 3038403 net.cpp:124] Setting up Level>=0 I0102 05:14:55.255287 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.255295 3038403 net.cpp:139] Memory required for data: 1612 I0102 05:14:55.255311 3038403 net.cpp:202] Level>=0 does not need backward computation. I0102 05:14:55.255316 3038403 net.cpp:202] Level0Only does not need backward computation. I0102 05:14:55.255322 3038403 net.cpp:202] NoLevel does not need backward computation. I0102 05:14:55.255328 3038403 net.cpp:202] data_data_0_split does not need backward computation. I0102 05:14:55.255334 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.255342 3038403 net.cpp:244] This network produces output Level0Only I0102 05:14:55.255345 3038403 net.cpp:244] This network produces output Level>=0 I0102 05:14:55.255352 3038403 net.cpp:244] This network produces output NoLevel I0102 05:14:55.255371 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.256088 3038403 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I0102 05:14:55.256104 3038403 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 } } I0102 05:14:55.256296 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.256312 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.256321 3038403 net.cpp:382] data -> data I0102 05:14:55.256340 3038403 net.cpp:124] Setting up data I0102 05:14:55.256347 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.256354 3038403 net.cpp:139] Memory required for data: 400 I0102 05:14:55.256361 3038403 layer_factory.hpp:77] Creating layer data_data_0_split I0102 05:14:55.256372 3038403 net.cpp:86] Creating Layer data_data_0_split I0102 05:14:55.256378 3038403 net.cpp:408] data_data_0_split <- data I0102 05:14:55.256388 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0102 05:14:55.256399 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0102 05:14:55.256412 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0102 05:14:55.256422 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0102 05:14:55.256438 3038403 net.cpp:124] Setting up data_data_0_split I0102 05:14:55.256445 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.256454 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.256464 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.256470 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.256477 3038403 net.cpp:139] Memory required for data: 2000 I0102 05:14:55.256484 3038403 layer_factory.hpp:77] Creating layer NoLevel I0102 05:14:55.256495 3038403 net.cpp:86] Creating Layer NoLevel I0102 05:14:55.256502 3038403 net.cpp:408] NoLevel <- data_data_0_split_0 I0102 05:14:55.256512 3038403 net.cpp:382] NoLevel -> NoLevel I0102 05:14:55.256536 3038403 net.cpp:124] Setting up NoLevel I0102 05:14:55.256542 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.256549 3038403 net.cpp:139] Memory required for data: 2004 I0102 05:14:55.257001 3038403 layer_factory.hpp:77] Creating layer Level1Only I0102 05:14:55.257030 3038403 net.cpp:86] Creating Layer Level1Only I0102 05:14:55.257037 3038403 net.cpp:408] Level1Only <- data_data_0_split_1 I0102 05:14:55.257048 3038403 net.cpp:382] Level1Only -> Level1Only I0102 05:14:55.257073 3038403 net.cpp:124] Setting up Level1Only I0102 05:14:55.257081 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.257089 3038403 net.cpp:139] Memory required for data: 2008 I0102 05:14:55.257102 3038403 layer_factory.hpp:77] Creating layer Level>=0 I0102 05:14:55.257115 3038403 net.cpp:86] Creating Layer Level>=0 I0102 05:14:55.257122 3038403 net.cpp:408] Level>=0 <- data_data_0_split_2 I0102 05:14:55.257133 3038403 net.cpp:382] Level>=0 -> Level>=0 I0102 05:14:55.257153 3038403 net.cpp:124] Setting up Level>=0 I0102 05:14:55.257160 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.257167 3038403 net.cpp:139] Memory required for data: 2012 I0102 05:14:55.257180 3038403 layer_factory.hpp:77] Creating layer Level>=1 I0102 05:14:55.257189 3038403 net.cpp:86] Creating Layer Level>=1 I0102 05:14:55.257195 3038403 net.cpp:408] Level>=1 <- data_data_0_split_3 I0102 05:14:55.257205 3038403 net.cpp:382] Level>=1 -> Level>=1 I0102 05:14:55.257231 3038403 net.cpp:124] Setting up Level>=1 I0102 05:14:55.257238 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.257246 3038403 net.cpp:139] Memory required for data: 2016 I0102 05:14:55.257256 3038403 net.cpp:202] Level>=1 does not need backward computation. I0102 05:14:55.257262 3038403 net.cpp:202] Level>=0 does not need backward computation. I0102 05:14:55.257268 3038403 net.cpp:202] Level1Only does not need backward computation. I0102 05:14:55.257275 3038403 net.cpp:202] NoLevel does not need backward computation. I0102 05:14:55.257282 3038403 net.cpp:202] data_data_0_split does not need backward computation. I0102 05:14:55.257288 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.257293 3038403 net.cpp:244] This network produces output Level1Only I0102 05:14:55.257301 3038403 net.cpp:244] This network produces output Level>=0 I0102 05:14:55.257308 3038403 net.cpp:244] This network produces output Level>=1 I0102 05:14:55.257314 3038403 net.cpp:244] This network produces output NoLevel I0102 05:14:55.257328 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.258246 3038403 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" } I0102 05:14:55.258400 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.258415 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.258425 3038403 net.cpp:382] data -> data I0102 05:14:55.258440 3038403 net.cpp:382] data -> label I0102 05:14:55.258455 3038403 net.cpp:124] Setting up data I0102 05:14:55.258462 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.258471 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.258476 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.258483 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.258500 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.258507 3038403 net.cpp:408] conv <- data I0102 05:14:55.258518 3038403 net.cpp:382] conv -> conv I0102 05:14:55.258615 3038403 net.cpp:124] Setting up conv I0102 05:14:55.258622 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.258630 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.258643 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.258656 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.258661 3038403 net.cpp:408] ip <- conv I0102 05:14:55.258671 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.258837 3038403 net.cpp:124] Setting up ip I0102 05:14:55.258847 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.258855 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.258867 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.258877 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.258882 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.258889 3038403 net.cpp:408] loss <- label I0102 05:14:55.258898 3038403 net.cpp:382] loss -> loss I0102 05:14:55.258911 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.258934 3038403 net.cpp:124] Setting up loss I0102 05:14:55.258940 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.258946 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.258960 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.258965 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.258971 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.258976 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.258982 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.258988 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.258997 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.262363 3038403 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" } I0102 05:14:55.262554 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.262573 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.262585 3038403 net.cpp:382] data -> data I0102 05:14:55.262605 3038403 net.cpp:382] data -> label I0102 05:14:55.262629 3038403 net.cpp:124] Setting up data I0102 05:14:55.262637 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.262648 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.262655 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.262662 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.262679 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.262686 3038403 net.cpp:408] conv <- data I0102 05:14:55.262699 3038403 net.cpp:382] conv -> conv I0102 05:14:55.262743 3038403 net.cpp:124] Setting up conv I0102 05:14:55.262751 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.262759 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.262778 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.262792 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.262799 3038403 net.cpp:408] ip <- conv I0102 05:14:55.262809 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.262984 3038403 net.cpp:124] Setting up ip I0102 05:14:55.262995 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.263003 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.263016 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.263026 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.263033 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.263041 3038403 net.cpp:408] loss <- label I0102 05:14:55.263051 3038403 net.cpp:382] loss -> loss I0102 05:14:55.263065 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.263092 3038403 net.cpp:124] Setting up loss I0102 05:14:55.263099 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.263108 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.263123 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.263130 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.263139 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.263145 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.263152 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.263159 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.263170 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.267030 3038403 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" } I0102 05:14:55.267206 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.267226 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.267238 3038403 net.cpp:382] data -> data I0102 05:14:55.267256 3038403 net.cpp:382] data -> label I0102 05:14:55.267278 3038403 net.cpp:124] Setting up data I0102 05:14:55.267287 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.267297 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.267304 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.267311 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.267328 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.267334 3038403 net.cpp:408] conv <- data I0102 05:14:55.267345 3038403 net.cpp:382] conv -> conv I0102 05:14:55.267392 3038403 net.cpp:124] Setting up conv I0102 05:14:55.267400 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.267408 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.267424 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.267438 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.267444 3038403 net.cpp:408] ip <- conv I0102 05:14:55.267457 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.267627 3038403 net.cpp:124] Setting up ip I0102 05:14:55.267635 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.267643 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.267657 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.267668 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.267674 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.267683 3038403 net.cpp:408] loss <- label I0102 05:14:55.267691 3038403 net.cpp:382] loss -> loss I0102 05:14:55.267707 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.267731 3038403 net.cpp:124] Setting up loss I0102 05:14:55.267738 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.267745 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.267760 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.267765 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.267773 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.267781 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.267789 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.267796 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.267807 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.269368 3038403 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" } I0102 05:14:55.269522 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.269537 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.269547 3038403 net.cpp:382] data -> data I0102 05:14:55.269562 3038403 net.cpp:382] data -> label I0102 05:14:55.269580 3038403 net.cpp:124] Setting up data I0102 05:14:55.269587 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.269595 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.269603 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.269608 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.269624 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.269634 3038403 net.cpp:408] conv <- data I0102 05:14:55.269645 3038403 net.cpp:382] conv -> conv I0102 05:14:55.269681 3038403 net.cpp:124] Setting up conv I0102 05:14:55.269690 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.269695 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.269709 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.269721 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.269726 3038403 net.cpp:408] ip <- conv I0102 05:14:55.269735 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.269884 3038403 net.cpp:124] Setting up ip I0102 05:14:55.269893 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.269901 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.269912 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.269923 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.269929 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.269937 3038403 net.cpp:408] loss <- label I0102 05:14:55.269943 3038403 net.cpp:382] loss -> loss I0102 05:14:55.269956 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.269979 3038403 net.cpp:124] Setting up loss I0102 05:14:55.269984 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.269990 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.270002 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.270009 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.270015 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.270020 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.270026 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.270032 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.270041 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.271952 3038403 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" } I0102 05:14:55.272104 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.272121 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.272131 3038403 net.cpp:382] data -> data I0102 05:14:55.272147 3038403 net.cpp:382] data -> label I0102 05:14:55.272166 3038403 net.cpp:124] Setting up data I0102 05:14:55.272173 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.272181 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.272188 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.272194 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.272209 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.272215 3038403 net.cpp:408] conv <- data I0102 05:14:55.272228 3038403 net.cpp:382] conv -> conv I0102 05:14:55.272266 3038403 net.cpp:124] Setting up conv I0102 05:14:55.272274 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.272280 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.272295 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.272306 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.272311 3038403 net.cpp:408] ip <- conv I0102 05:14:55.272320 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.272480 3038403 net.cpp:124] Setting up ip I0102 05:14:55.272488 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.272495 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.272506 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.272516 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.272521 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.272528 3038403 net.cpp:408] loss <- label I0102 05:14:55.272536 3038403 net.cpp:382] loss -> loss I0102 05:14:55.272549 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.272835 3038403 net.cpp:124] Setting up loss I0102 05:14:55.272848 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.272857 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.272871 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.272876 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.272883 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.272889 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.272897 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.272903 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.272917 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.273916 3038403 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" } I0102 05:14:55.274071 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.274087 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.274098 3038403 net.cpp:382] data -> data I0102 05:14:55.274113 3038403 net.cpp:382] data -> label I0102 05:14:55.274132 3038403 net.cpp:124] Setting up data I0102 05:14:55.274140 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.274150 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.274159 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.274165 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.274181 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.274188 3038403 net.cpp:408] conv <- data I0102 05:14:55.274199 3038403 net.cpp:382] conv -> conv I0102 05:14:55.274236 3038403 net.cpp:124] Setting up conv I0102 05:14:55.274245 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.274253 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.274267 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.274281 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.274287 3038403 net.cpp:408] ip <- conv I0102 05:14:55.274298 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.274469 3038403 net.cpp:124] Setting up ip I0102 05:14:55.274479 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.274487 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.274500 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.274511 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.274518 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.274525 3038403 net.cpp:408] loss <- label I0102 05:14:55.274534 3038403 net.cpp:382] loss -> loss I0102 05:14:55.274549 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.274570 3038403 net.cpp:124] Setting up loss I0102 05:14:55.274577 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.274585 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.274596 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.274602 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.274610 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.274616 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.274628 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.274636 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.274646 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.275610 3038403 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" } I0102 05:14:55.275735 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.275749 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.275758 3038403 net.cpp:382] data -> data I0102 05:14:55.275770 3038403 net.cpp:382] data -> label I0102 05:14:55.275785 3038403 net.cpp:124] Setting up data I0102 05:14:55.275791 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.275799 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.275805 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.275810 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.275823 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.275830 3038403 net.cpp:408] conv <- data I0102 05:14:55.275840 3038403 net.cpp:382] conv -> conv I0102 05:14:55.275871 3038403 net.cpp:124] Setting up conv I0102 05:14:55.275877 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.275883 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.275897 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.275907 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.275913 3038403 net.cpp:408] ip <- conv I0102 05:14:55.275921 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.276070 3038403 net.cpp:124] Setting up ip I0102 05:14:55.276079 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.276086 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.276098 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.276105 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.276113 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.276118 3038403 net.cpp:408] loss <- label I0102 05:14:55.276127 3038403 net.cpp:382] loss -> loss I0102 05:14:55.276139 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.276158 3038403 net.cpp:124] Setting up loss I0102 05:14:55.276165 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.276170 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.276180 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.276186 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.276192 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.276197 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.276276 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.276283 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.276291 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.277858 3038403 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" } I0102 05:14:55.277995 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.278010 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.278019 3038403 net.cpp:382] data -> data I0102 05:14:55.278033 3038403 net.cpp:382] data -> label I0102 05:14:55.278052 3038403 net.cpp:124] Setting up data I0102 05:14:55.278059 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.278072 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.278079 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.278084 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.278098 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.278105 3038403 net.cpp:408] conv <- data I0102 05:14:55.278115 3038403 net.cpp:382] conv -> conv I0102 05:14:55.278148 3038403 net.cpp:124] Setting up conv I0102 05:14:55.278154 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.278162 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.278177 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.278187 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.278192 3038403 net.cpp:408] ip <- conv I0102 05:14:55.278200 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.278352 3038403 net.cpp:124] Setting up ip I0102 05:14:55.278362 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.278368 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.278378 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.278388 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.278393 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.278400 3038403 net.cpp:408] loss <- label I0102 05:14:55.278409 3038403 net.cpp:382] loss -> loss I0102 05:14:55.278422 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.278442 3038403 net.cpp:124] Setting up loss I0102 05:14:55.278448 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.278456 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.278468 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.278474 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.278481 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.278486 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.278492 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.278498 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.278507 3038403 net.cpp:257] Network initialization done. W0102 05:14:55.279249 3038403 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W0102 05:14:55.279263 3038403 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W0102 05:14:55.279268 3038403 _caffe.cpp:142] Net('/tmp/tmprdrbm597', 0, weights='/tmp/tmp5c3yo9zt') I0102 05:14:55.279461 3038403 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" } I0102 05:14:55.279610 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.279628 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.279637 3038403 net.cpp:382] data -> data I0102 05:14:55.279654 3038403 net.cpp:382] data -> label I0102 05:14:55.279671 3038403 net.cpp:124] Setting up data I0102 05:14:55.279678 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.279688 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.279696 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.279703 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.279718 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.279726 3038403 net.cpp:408] conv <- data I0102 05:14:55.279736 3038403 net.cpp:382] conv -> conv I0102 05:14:55.279776 3038403 net.cpp:124] Setting up conv I0102 05:14:55.279785 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.279793 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.279808 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.279822 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.279829 3038403 net.cpp:408] ip <- conv I0102 05:14:55.279840 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.280009 3038403 net.cpp:124] Setting up ip I0102 05:14:55.280017 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.280025 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.280037 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.280048 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.280055 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.280063 3038403 net.cpp:408] loss <- label I0102 05:14:55.280073 3038403 net.cpp:382] loss -> loss I0102 05:14:55.280086 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.280110 3038403 net.cpp:124] Setting up loss I0102 05:14:55.280117 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.280124 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.280136 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.280143 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.280150 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.280158 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.280164 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.280171 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.280180 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.282227 3038403 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" } I0102 05:14:55.282366 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.282387 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.282395 3038403 net.cpp:382] data -> data I0102 05:14:55.282408 3038403 net.cpp:382] data -> label I0102 05:14:55.282424 3038403 net.cpp:124] Setting up data I0102 05:14:55.282430 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.282439 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.282445 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.282451 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.282464 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.282469 3038403 net.cpp:408] conv <- data I0102 05:14:55.282480 3038403 net.cpp:382] conv -> conv I0102 05:14:55.282513 3038403 net.cpp:124] Setting up conv I0102 05:14:55.282519 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.282527 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.282541 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.282550 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.282557 3038403 net.cpp:408] ip <- conv I0102 05:14:55.282565 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.282713 3038403 net.cpp:124] Setting up ip I0102 05:14:55.282721 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.282728 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.282739 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.282748 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.282754 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.282760 3038403 net.cpp:408] loss <- label I0102 05:14:55.282768 3038403 net.cpp:382] loss -> loss I0102 05:14:55.282779 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.282797 3038403 net.cpp:124] Setting up loss I0102 05:14:55.282802 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.282809 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.282819 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.282824 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.282831 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.282836 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.282842 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.282848 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.282857 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.284319 3038403 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" } I0102 05:14:55.284472 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.284488 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.284498 3038403 net.cpp:382] data -> data I0102 05:14:55.284513 3038403 net.cpp:382] data -> label I0102 05:14:55.284529 3038403 net.cpp:124] Setting up data I0102 05:14:55.284538 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.284547 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.284554 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.284560 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.284893 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.284904 3038403 net.cpp:408] conv <- data I0102 05:14:55.284915 3038403 net.cpp:382] conv -> conv I0102 05:14:55.284957 3038403 net.cpp:124] Setting up conv I0102 05:14:55.284972 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.284981 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.284996 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.285009 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.285017 3038403 net.cpp:408] ip <- conv I0102 05:14:55.285028 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.285202 3038403 net.cpp:124] Setting up ip I0102 05:14:55.285212 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.285220 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.285233 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.285243 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.285250 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.285257 3038403 net.cpp:408] loss <- label I0102 05:14:55.285266 3038403 net.cpp:382] loss -> loss I0102 05:14:55.285279 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.285302 3038403 net.cpp:124] Setting up loss I0102 05:14:55.285310 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.285316 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.285331 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.285336 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.285344 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.285351 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.285357 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.285364 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.285375 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.288866 3038403 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" } I0102 05:14:55.289021 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.289038 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.289048 3038403 net.cpp:382] data -> data I0102 05:14:55.289065 3038403 net.cpp:382] data -> label I0102 05:14:55.289086 3038403 net.cpp:124] Setting up data I0102 05:14:55.289095 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.289106 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.289112 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.289119 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.289132 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.289145 3038403 net.cpp:408] conv <- data I0102 05:14:55.289155 3038403 net.cpp:382] conv -> conv I0102 05:14:55.289192 3038403 net.cpp:124] Setting up conv I0102 05:14:55.289199 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.289206 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.289222 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.289232 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.289237 3038403 net.cpp:408] ip <- conv I0102 05:14:55.289244 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.289394 3038403 net.cpp:124] Setting up ip I0102 05:14:55.289402 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.289409 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.289420 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.289429 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.289435 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.289441 3038403 net.cpp:408] loss <- label I0102 05:14:55.289448 3038403 net.cpp:382] loss -> loss I0102 05:14:55.289460 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.289477 3038403 net.cpp:124] Setting up loss I0102 05:14:55.289484 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.289490 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.289502 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.289507 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.289515 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.289520 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.289527 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.289532 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.289541 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.290542 3038403 hdf5.cpp:33] Datatype class: H5T_FLOAT .I0102 05:14:55.292723 3038403 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" } I0102 05:14:55.292879 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.292896 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.292904 3038403 net.cpp:382] data -> data I0102 05:14:55.292923 3038403 net.cpp:382] data -> label I0102 05:14:55.292943 3038403 net.cpp:124] Setting up data I0102 05:14:55.292949 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.292958 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.292964 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.292970 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.292984 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.292989 3038403 net.cpp:408] conv <- data I0102 05:14:55.293000 3038403 net.cpp:382] conv -> conv I0102 05:14:55.293035 3038403 net.cpp:124] Setting up conv I0102 05:14:55.293044 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.293051 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.293067 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.293078 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.293084 3038403 net.cpp:408] ip <- conv I0102 05:14:55.293093 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.293253 3038403 net.cpp:124] Setting up ip I0102 05:14:55.293262 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.293268 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.293278 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.293288 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.293295 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.293303 3038403 net.cpp:408] loss <- label I0102 05:14:55.293310 3038403 net.cpp:382] loss -> loss I0102 05:14:55.293323 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.293341 3038403 net.cpp:124] Setting up loss I0102 05:14:55.293349 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.293354 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.293367 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.293375 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.293381 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.293387 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.293393 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.293399 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.293411 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.294523 3038403 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I0102 05:14:55.294538 3038403 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I0102 05:14:55.294544 3038403 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 } } I0102 05:14:55.294641 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.294656 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.294663 3038403 net.cpp:382] data -> data I0102 05:14:55.294687 3038403 net.cpp:124] Setting up data I0102 05:14:55.294694 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.294703 3038403 net.cpp:139] Memory required for data: 400 I0102 05:14:55.294708 3038403 layer_factory.hpp:77] Creating layer data_data_0_split I0102 05:14:55.294718 3038403 net.cpp:86] Creating Layer data_data_0_split I0102 05:14:55.294735 3038403 net.cpp:408] data_data_0_split <- data I0102 05:14:55.294744 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0102 05:14:55.294757 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0102 05:14:55.294768 3038403 net.cpp:124] Setting up data_data_0_split I0102 05:14:55.294775 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.294781 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.294787 3038403 net.cpp:139] Memory required for data: 1200 I0102 05:14:55.294793 3038403 layer_factory.hpp:77] Creating layer A I0102 05:14:55.294803 3038403 net.cpp:86] Creating Layer A I0102 05:14:55.294808 3038403 net.cpp:408] A <- data_data_0_split_0 I0102 05:14:55.294816 3038403 net.cpp:382] A -> A I0102 05:14:55.294833 3038403 net.cpp:124] Setting up A I0102 05:14:55.294839 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.294847 3038403 net.cpp:139] Memory required for data: 1204 I0102 05:14:55.294859 3038403 layer_factory.hpp:77] Creating layer AorB I0102 05:14:55.294873 3038403 net.cpp:86] Creating Layer AorB I0102 05:14:55.294879 3038403 net.cpp:408] AorB <- data_data_0_split_1 I0102 05:14:55.294888 3038403 net.cpp:382] AorB -> AorB I0102 05:14:55.294905 3038403 net.cpp:124] Setting up AorB I0102 05:14:55.294911 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.294919 3038403 net.cpp:139] Memory required for data: 1208 I0102 05:14:55.294929 3038403 net.cpp:202] AorB does not need backward computation. I0102 05:14:55.294934 3038403 net.cpp:202] A does not need backward computation. I0102 05:14:55.294939 3038403 net.cpp:202] data_data_0_split does not need backward computation. I0102 05:14:55.294945 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.294950 3038403 net.cpp:244] This network produces output A I0102 05:14:55.294955 3038403 net.cpp:244] This network produces output AorB I0102 05:14:55.294965 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.295630 3038403 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 } } I0102 05:14:55.295758 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.295774 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.295783 3038403 net.cpp:382] data -> data I0102 05:14:55.295801 3038403 net.cpp:124] Setting up data I0102 05:14:55.295812 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.295821 3038403 net.cpp:139] Memory required for data: 400 I0102 05:14:55.295828 3038403 layer_factory.hpp:77] Creating layer data_data_0_split I0102 05:14:55.295838 3038403 net.cpp:86] Creating Layer data_data_0_split I0102 05:14:55.295845 3038403 net.cpp:408] data_data_0_split <- data I0102 05:14:55.295853 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0102 05:14:55.295864 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0102 05:14:55.295876 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0102 05:14:55.295886 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0102 05:14:55.295909 3038403 net.cpp:124] Setting up data_data_0_split I0102 05:14:55.295917 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.295925 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.295931 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.295938 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.295946 3038403 net.cpp:139] Memory required for data: 2000 I0102 05:14:55.295953 3038403 layer_factory.hpp:77] Creating layer A I0102 05:14:55.295964 3038403 net.cpp:86] Creating Layer A I0102 05:14:55.295980 3038403 net.cpp:408] A <- data_data_0_split_0 I0102 05:14:55.295989 3038403 net.cpp:382] A -> A I0102 05:14:55.296013 3038403 net.cpp:124] Setting up A I0102 05:14:55.296028 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.296038 3038403 net.cpp:139] Memory required for data: 2004 I0102 05:14:55.296058 3038403 layer_factory.hpp:77] Creating layer B I0102 05:14:55.296073 3038403 net.cpp:86] Creating Layer B I0102 05:14:55.296079 3038403 net.cpp:408] B <- data_data_0_split_1 I0102 05:14:55.296089 3038403 net.cpp:382] B -> B I0102 05:14:55.296106 3038403 net.cpp:124] Setting up B I0102 05:14:55.296121 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.296131 3038403 net.cpp:139] Memory required for data: 2008 I0102 05:14:55.296146 3038403 layer_factory.hpp:77] Creating layer AorB I0102 05:14:55.296159 3038403 net.cpp:86] Creating Layer AorB I0102 05:14:55.296164 3038403 net.cpp:408] AorB <- data_data_0_split_2 I0102 05:14:55.296175 3038403 net.cpp:382] AorB -> AorB I0102 05:14:55.296197 3038403 net.cpp:124] Setting up AorB I0102 05:14:55.296268 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.296276 3038403 net.cpp:139] Memory required for data: 2012 I0102 05:14:55.296289 3038403 layer_factory.hpp:77] Creating layer AandB I0102 05:14:55.296306 3038403 net.cpp:86] Creating Layer AandB I0102 05:14:55.296314 3038403 net.cpp:408] AandB <- data_data_0_split_3 I0102 05:14:55.296324 3038403 net.cpp:382] AandB -> AandB I0102 05:14:55.296342 3038403 net.cpp:124] Setting up AandB I0102 05:14:55.296350 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.296357 3038403 net.cpp:139] Memory required for data: 2016 I0102 05:14:55.296367 3038403 net.cpp:202] AandB does not need backward computation. I0102 05:14:55.296380 3038403 net.cpp:202] AorB does not need backward computation. I0102 05:14:55.296386 3038403 net.cpp:202] B does not need backward computation. I0102 05:14:55.296392 3038403 net.cpp:202] A does not need backward computation. I0102 05:14:55.296399 3038403 net.cpp:202] data_data_0_split does not need backward computation. I0102 05:14:55.296406 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.296412 3038403 net.cpp:244] This network produces output A I0102 05:14:55.296419 3038403 net.cpp:244] This network produces output AandB I0102 05:14:55.296427 3038403 net.cpp:244] This network produces output AorB I0102 05:14:55.296433 3038403 net.cpp:244] This network produces output B I0102 05:14:55.296445 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.297264 3038403 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I0102 05:14:55.297286 3038403 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I0102 05:14:55.297294 3038403 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I0102 05:14:55.297302 3038403 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 } } I0102 05:14:55.297399 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.297412 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.297421 3038403 net.cpp:382] data -> data I0102 05:14:55.297441 3038403 net.cpp:124] Setting up data I0102 05:14:55.297447 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.297456 3038403 net.cpp:139] Memory required for data: 400 I0102 05:14:55.297461 3038403 layer_factory.hpp:77] Creating layer data_data_0_split I0102 05:14:55.297472 3038403 net.cpp:86] Creating Layer data_data_0_split I0102 05:14:55.297482 3038403 net.cpp:408] data_data_0_split <- data I0102 05:14:55.297494 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0102 05:14:55.297508 3038403 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0102 05:14:55.297519 3038403 net.cpp:124] Setting up data_data_0_split I0102 05:14:55.297526 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.297534 3038403 net.cpp:131] Top shape: 1 1 10 10 (100) I0102 05:14:55.297542 3038403 net.cpp:139] Memory required for data: 1200 I0102 05:14:55.297547 3038403 layer_factory.hpp:77] Creating layer B I0102 05:14:55.297562 3038403 net.cpp:86] Creating Layer B I0102 05:14:55.297569 3038403 net.cpp:408] B <- data_data_0_split_0 I0102 05:14:55.297580 3038403 net.cpp:382] B -> B I0102 05:14:55.297597 3038403 net.cpp:124] Setting up B I0102 05:14:55.297603 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.297611 3038403 net.cpp:139] Memory required for data: 1204 I0102 05:14:55.297626 3038403 layer_factory.hpp:77] Creating layer AorB I0102 05:14:55.297636 3038403 net.cpp:86] Creating Layer AorB I0102 05:14:55.297642 3038403 net.cpp:408] AorB <- data_data_0_split_1 I0102 05:14:55.297652 3038403 net.cpp:382] AorB -> AorB I0102 05:14:55.297673 3038403 net.cpp:124] Setting up AorB I0102 05:14:55.297680 3038403 net.cpp:131] Top shape: 1 1 (1) I0102 05:14:55.297688 3038403 net.cpp:139] Memory required for data: 1208 I0102 05:14:55.297698 3038403 net.cpp:202] AorB does not need backward computation. I0102 05:14:55.297704 3038403 net.cpp:202] B does not need backward computation. I0102 05:14:55.297710 3038403 net.cpp:202] data_data_0_split does not need backward computation. I0102 05:14:55.297716 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.297721 3038403 net.cpp:244] This network produces output AorB I0102 05:14:55.297727 3038403 net.cpp:244] This network produces output B I0102 05:14:55.297737 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.299732 3038403 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" } I0102 05:14:55.299906 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.299922 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.299930 3038403 net.cpp:382] data -> data I0102 05:14:55.299947 3038403 net.cpp:382] data -> label I0102 05:14:55.300015 3038403 net.cpp:124] Setting up data I0102 05:14:55.300024 3038403 net.cpp:131] Top shape: 50 1 28 28 (39200) I0102 05:14:55.300034 3038403 net.cpp:131] Top shape: 50 1 1 1 (50) I0102 05:14:55.300041 3038403 net.cpp:139] Memory required for data: 157000 I0102 05:14:55.300046 3038403 layer_factory.hpp:77] Creating layer conv1 I0102 05:14:55.300060 3038403 net.cpp:86] Creating Layer conv1 I0102 05:14:55.300065 3038403 net.cpp:408] conv1 <- data I0102 05:14:55.300073 3038403 net.cpp:382] conv1 -> conv1 I0102 05:14:55.300117 3038403 net.cpp:124] Setting up conv1 I0102 05:14:55.300124 3038403 net.cpp:131] Top shape: 50 20 24 24 (576000) I0102 05:14:55.300132 3038403 net.cpp:139] Memory required for data: 2461000 I0102 05:14:55.300148 3038403 layer_factory.hpp:77] Creating layer pool1 I0102 05:14:55.300158 3038403 net.cpp:86] Creating Layer pool1 I0102 05:14:55.300163 3038403 net.cpp:408] pool1 <- conv1 I0102 05:14:55.300174 3038403 net.cpp:382] pool1 -> pool1 I0102 05:14:55.300204 3038403 net.cpp:124] Setting up pool1 I0102 05:14:55.300210 3038403 net.cpp:131] Top shape: 50 20 12 12 (144000) I0102 05:14:55.300217 3038403 net.cpp:139] Memory required for data: 3037000 I0102 05:14:55.300222 3038403 layer_factory.hpp:77] Creating layer conv2 I0102 05:14:55.300231 3038403 net.cpp:86] Creating Layer conv2 I0102 05:14:55.300237 3038403 net.cpp:408] conv2 <- pool1 I0102 05:14:55.300246 3038403 net.cpp:382] conv2 -> conv2 I0102 05:14:55.300519 3038403 net.cpp:124] Setting up conv2 I0102 05:14:55.300530 3038403 net.cpp:131] Top shape: 50 50 8 8 (160000) I0102 05:14:55.300540 3038403 net.cpp:139] Memory required for data: 3677000 I0102 05:14:55.300551 3038403 layer_factory.hpp:77] Creating layer pool2 I0102 05:14:55.300561 3038403 net.cpp:86] Creating Layer pool2 I0102 05:14:55.301260 3038403 net.cpp:408] pool2 <- conv2 I0102 05:14:55.301277 3038403 net.cpp:382] pool2 -> pool2 I0102 05:14:55.301295 3038403 net.cpp:124] Setting up pool2 I0102 05:14:55.301301 3038403 net.cpp:131] Top shape: 50 50 4 4 (40000) I0102 05:14:55.301311 3038403 net.cpp:139] Memory required for data: 3837000 I0102 05:14:55.301317 3038403 layer_factory.hpp:77] Creating layer ip1 I0102 05:14:55.301328 3038403 net.cpp:86] Creating Layer ip1 I0102 05:14:55.301333 3038403 net.cpp:408] ip1 <- pool2 I0102 05:14:55.301340 3038403 net.cpp:382] ip1 -> ip1 I0102 05:14:55.306532 3038403 net.cpp:124] Setting up ip1 I0102 05:14:55.306572 3038403 net.cpp:131] Top shape: 50 500 (25000) I0102 05:14:55.306584 3038403 net.cpp:139] Memory required for data: 3937000 I0102 05:14:55.306610 3038403 layer_factory.hpp:77] Creating layer relu1 I0102 05:14:55.306629 3038403 net.cpp:86] Creating Layer relu1 I0102 05:14:55.306638 3038403 net.cpp:408] relu1 <- ip1 I0102 05:14:55.306649 3038403 net.cpp:369] relu1 -> ip1 (in-place) I0102 05:14:55.306664 3038403 net.cpp:124] Setting up relu1 I0102 05:14:55.306671 3038403 net.cpp:131] Top shape: 50 500 (25000) I0102 05:14:55.306679 3038403 net.cpp:139] Memory required for data: 4037000 I0102 05:14:55.306684 3038403 layer_factory.hpp:77] Creating layer ip2 I0102 05:14:55.306694 3038403 net.cpp:86] Creating Layer ip2 I0102 05:14:55.306700 3038403 net.cpp:408] ip2 <- ip1 I0102 05:14:55.306715 3038403 net.cpp:382] ip2 -> ip2 I0102 05:14:55.306789 3038403 net.cpp:124] Setting up ip2 I0102 05:14:55.306797 3038403 net.cpp:131] Top shape: 50 10 (500) I0102 05:14:55.306804 3038403 net.cpp:139] Memory required for data: 4039000 I0102 05:14:55.306813 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.306826 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.306831 3038403 net.cpp:408] loss <- ip2 I0102 05:14:55.306838 3038403 net.cpp:408] loss <- label I0102 05:14:55.306846 3038403 net.cpp:382] loss -> loss I0102 05:14:55.306860 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.306882 3038403 net.cpp:124] Setting up loss I0102 05:14:55.306890 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.306896 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.306921 3038403 net.cpp:139] Memory required for data: 4039004 I0102 05:14:55.306926 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.306933 3038403 net.cpp:200] ip2 needs backward computation. I0102 05:14:55.306938 3038403 net.cpp:200] relu1 needs backward computation. I0102 05:14:55.306943 3038403 net.cpp:200] ip1 needs backward computation. I0102 05:14:55.306949 3038403 net.cpp:200] pool2 needs backward computation. I0102 05:14:55.306955 3038403 net.cpp:200] conv2 needs backward computation. I0102 05:14:55.306962 3038403 net.cpp:200] pool1 needs backward computation. I0102 05:14:55.306968 3038403 net.cpp:200] conv1 needs backward computation. I0102 05:14:55.306977 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.306982 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.306995 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.309027 3038403 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" } I0102 05:14:55.309237 3038403 layer_factory.hpp:77] Creating layer DummyData1 I0102 05:14:55.309257 3038403 net.cpp:86] Creating Layer DummyData1 I0102 05:14:55.309276 3038403 net.cpp:382] DummyData1 -> DummyData1 I0102 05:14:55.309295 3038403 net.cpp:382] DummyData1 -> DummyData2 I0102 05:14:55.309370 3038403 net.cpp:124] Setting up DummyData1 I0102 05:14:55.309379 3038403 net.cpp:131] Top shape: 50 1 28 28 (39200) I0102 05:14:55.309393 3038403 net.cpp:131] Top shape: 50 1 1 1 (50) I0102 05:14:55.309401 3038403 net.cpp:139] Memory required for data: 157000 I0102 05:14:55.309407 3038403 layer_factory.hpp:77] Creating layer Convolution1 I0102 05:14:55.309422 3038403 net.cpp:86] Creating Layer Convolution1 I0102 05:14:55.309437 3038403 net.cpp:408] Convolution1 <- DummyData1 I0102 05:14:55.309448 3038403 net.cpp:382] Convolution1 -> Convolution1 I0102 05:14:55.309494 3038403 net.cpp:124] Setting up Convolution1 I0102 05:14:55.309509 3038403 net.cpp:131] Top shape: 50 20 24 24 (576000) I0102 05:14:55.309518 3038403 net.cpp:139] Memory required for data: 2461000 I0102 05:14:55.309535 3038403 layer_factory.hpp:77] Creating layer Pooling1 I0102 05:14:55.309551 3038403 net.cpp:86] Creating Layer Pooling1 I0102 05:14:55.309562 3038403 net.cpp:408] Pooling1 <- Convolution1 I0102 05:14:55.309571 3038403 net.cpp:382] Pooling1 -> Pooling1 I0102 05:14:55.309587 3038403 net.cpp:124] Setting up Pooling1 I0102 05:14:55.309593 3038403 net.cpp:131] Top shape: 50 20 12 12 (144000) I0102 05:14:55.309603 3038403 net.cpp:139] Memory required for data: 3037000 I0102 05:14:55.309609 3038403 layer_factory.hpp:77] Creating layer Convolution2 I0102 05:14:55.309619 3038403 net.cpp:86] Creating Layer Convolution2 I0102 05:14:55.309633 3038403 net.cpp:408] Convolution2 <- Pooling1 I0102 05:14:55.309643 3038403 net.cpp:382] Convolution2 -> Convolution2 I0102 05:14:55.309952 3038403 net.cpp:124] Setting up Convolution2 I0102 05:14:55.309967 3038403 net.cpp:131] Top shape: 50 50 8 8 (160000) I0102 05:14:55.309978 3038403 net.cpp:139] Memory required for data: 3677000 I0102 05:14:55.309989 3038403 layer_factory.hpp:77] Creating layer Pooling2 I0102 05:14:55.310003 3038403 net.cpp:86] Creating Layer Pooling2 I0102 05:14:55.310009 3038403 net.cpp:408] Pooling2 <- Convolution2 I0102 05:14:55.310024 3038403 net.cpp:382] Pooling2 -> Pooling2 I0102 05:14:55.310034 3038403 net.cpp:124] Setting up Pooling2 I0102 05:14:55.310040 3038403 net.cpp:131] Top shape: 50 50 4 4 (40000) I0102 05:14:55.310047 3038403 net.cpp:139] Memory required for data: 3837000 I0102 05:14:55.310052 3038403 layer_factory.hpp:77] Creating layer InnerProduct1 I0102 05:14:55.310060 3038403 net.cpp:86] Creating Layer InnerProduct1 I0102 05:14:55.310065 3038403 net.cpp:408] InnerProduct1 <- Pooling2 I0102 05:14:55.310073 3038403 net.cpp:382] InnerProduct1 -> InnerProduct1 I0102 05:14:55.315107 3038403 net.cpp:124] Setting up InnerProduct1 I0102 05:14:55.315148 3038403 net.cpp:131] Top shape: 50 500 (25000) I0102 05:14:55.315160 3038403 net.cpp:139] Memory required for data: 3937000 I0102 05:14:55.315184 3038403 layer_factory.hpp:77] Creating layer ReLU1 I0102 05:14:55.315201 3038403 net.cpp:86] Creating Layer ReLU1 I0102 05:14:55.315209 3038403 net.cpp:408] ReLU1 <- InnerProduct1 I0102 05:14:55.315222 3038403 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I0102 05:14:55.315235 3038403 net.cpp:124] Setting up ReLU1 I0102 05:14:55.315241 3038403 net.cpp:131] Top shape: 50 500 (25000) I0102 05:14:55.315248 3038403 net.cpp:139] Memory required for data: 4037000 I0102 05:14:55.315254 3038403 layer_factory.hpp:77] Creating layer InnerProduct2 I0102 05:14:55.315264 3038403 net.cpp:86] Creating Layer InnerProduct2 I0102 05:14:55.315271 3038403 net.cpp:408] InnerProduct2 <- InnerProduct1 I0102 05:14:55.315280 3038403 net.cpp:382] InnerProduct2 -> InnerProduct2 I0102 05:14:55.315361 3038403 net.cpp:124] Setting up InnerProduct2 I0102 05:14:55.315369 3038403 net.cpp:131] Top shape: 50 10 (500) I0102 05:14:55.315377 3038403 net.cpp:139] Memory required for data: 4039000 I0102 05:14:55.315387 3038403 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0102 05:14:55.315402 3038403 net.cpp:86] Creating Layer SoftmaxWithLoss1 I0102 05:14:55.315409 3038403 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I0102 05:14:55.315416 3038403 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I0102 05:14:55.315424 3038403 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I0102 05:14:55.315438 3038403 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0102 05:14:55.315460 3038403 net.cpp:124] Setting up SoftmaxWithLoss1 I0102 05:14:55.315472 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.315479 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.315502 3038403 net.cpp:139] Memory required for data: 4039004 I0102 05:14:55.315510 3038403 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I0102 05:14:55.315519 3038403 net.cpp:200] InnerProduct2 needs backward computation. I0102 05:14:55.315526 3038403 net.cpp:200] ReLU1 needs backward computation. I0102 05:14:55.315531 3038403 net.cpp:200] InnerProduct1 needs backward computation. I0102 05:14:55.315538 3038403 net.cpp:200] Pooling2 needs backward computation. I0102 05:14:55.315546 3038403 net.cpp:200] Convolution2 needs backward computation. I0102 05:14:55.315563 3038403 net.cpp:200] Pooling1 needs backward computation. I0102 05:14:55.315570 3038403 net.cpp:200] Convolution1 needs backward computation. I0102 05:14:55.315579 3038403 net.cpp:202] DummyData1 does not need backward computation. I0102 05:14:55.315585 3038403 net.cpp:244] This network produces output SoftmaxWithLoss1 I0102 05:14:55.315600 3038403 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): .I0102 05:14:55.318581 3038403 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" } I0102 05:14:55.318653 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.318670 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.318678 3038403 net.cpp:382] data -> data I0102 05:14:55.318696 3038403 net.cpp:382] data -> data2 I0102 05:14:55.318717 3038403 net.cpp:124] Setting up data I0102 05:14:55.318724 3038403 net.cpp:131] Top shape: 3 (3) I0102 05:14:55.318733 3038403 net.cpp:131] Top shape: 3 (3) I0102 05:14:55.318739 3038403 net.cpp:139] Memory required for data: 24 I0102 05:14:55.318745 3038403 layer_factory.hpp:77] Creating layer silence_data I0102 05:14:55.318768 3038403 net.cpp:86] Creating Layer silence_data I0102 05:14:55.318774 3038403 net.cpp:408] silence_data <- data I0102 05:14:55.318783 3038403 net.cpp:124] Setting up silence_data I0102 05:14:55.318789 3038403 net.cpp:139] Memory required for data: 24 I0102 05:14:55.318792 3038403 layer_factory.hpp:77] Creating layer silence_data2 I0102 05:14:55.318801 3038403 net.cpp:86] Creating Layer silence_data2 I0102 05:14:55.318806 3038403 net.cpp:408] silence_data2 <- data2 I0102 05:14:55.318814 3038403 net.cpp:124] Setting up silence_data2 I0102 05:14:55.318818 3038403 net.cpp:139] Memory required for data: 24 I0102 05:14:55.318825 3038403 net.cpp:202] silence_data2 does not need backward computation. I0102 05:14:55.318830 3038403 net.cpp:202] silence_data does not need backward computation. I0102 05:14:55.318836 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.318843 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.319486 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpagbyqhwd I0102 05:14:55.319504 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.319509 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.319532 3038403 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" } } I0102 05:14:55.319603 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.319614 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.319622 3038403 net.cpp:382] input -> data I0102 05:14:55.319633 3038403 net.cpp:124] Setting up input I0102 05:14:55.319639 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.319646 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.319651 3038403 layer_factory.hpp:77] Creating layer one I0102 05:14:55.319695 3038403 net.cpp:86] Creating Layer one I0102 05:14:55.319702 3038403 net.cpp:408] one <- data I0102 05:14:55.319710 3038403 net.cpp:382] one -> one I0102 05:14:55.319778 3038403 net.cpp:124] Setting up one I0102 05:14:55.319787 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.319795 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.319802 3038403 layer_factory.hpp:77] Creating layer two I0102 05:14:55.319831 3038403 net.cpp:86] Creating Layer two I0102 05:14:55.319839 3038403 net.cpp:408] two <- one I0102 05:14:55.319846 3038403 net.cpp:382] two -> two I0102 05:14:55.319882 3038403 net.cpp:124] Setting up two I0102 05:14:55.319891 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.319900 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.319905 3038403 layer_factory.hpp:77] Creating layer three I0102 05:14:55.319931 3038403 net.cpp:86] Creating Layer three I0102 05:14:55.319939 3038403 net.cpp:408] three <- two I0102 05:14:55.319947 3038403 net.cpp:382] three -> three I0102 05:14:55.319983 3038403 net.cpp:124] Setting up three I0102 05:14:55.319991 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.319999 3038403 net.cpp:139] Memory required for data: 11520 I0102 05:14:55.320005 3038403 net.cpp:202] three does not need backward computation. I0102 05:14:55.320012 3038403 net.cpp:202] two does not need backward computation. I0102 05:14:55.320019 3038403 net.cpp:202] one does not need backward computation. I0102 05:14:55.320024 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.320030 3038403 net.cpp:244] This network produces output three I0102 05:14:55.320039 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.326858 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpi4lkqbhb I0102 05:14:55.326897 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.326905 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.326944 3038403 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" } } I0102 05:14:55.327054 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.327072 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.327082 3038403 net.cpp:382] input -> data I0102 05:14:55.327111 3038403 net.cpp:124] Setting up input I0102 05:14:55.327118 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.327129 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.327137 3038403 layer_factory.hpp:77] Creating layer one I0102 05:14:55.327188 3038403 net.cpp:86] Creating Layer one I0102 05:14:55.327203 3038403 net.cpp:408] one <- data I0102 05:14:55.327214 3038403 net.cpp:382] one -> one I0102 05:14:55.327273 3038403 net.cpp:124] Setting up one I0102 05:14:55.327287 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.327296 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.327304 3038403 layer_factory.hpp:77] Creating layer two I0102 05:14:55.327338 3038403 net.cpp:86] Creating Layer two I0102 05:14:55.327353 3038403 net.cpp:408] two <- one I0102 05:14:55.327361 3038403 net.cpp:382] two -> two I0102 05:14:55.327397 3038403 net.cpp:124] Setting up two I0102 05:14:55.327411 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.327420 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.327426 3038403 layer_factory.hpp:77] Creating layer three I0102 05:14:55.327464 3038403 net.cpp:86] Creating Layer three I0102 05:14:55.327472 3038403 net.cpp:408] three <- two I0102 05:14:55.327481 3038403 net.cpp:382] three -> three I0102 05:14:55.327518 3038403 net.cpp:124] Setting up three I0102 05:14:55.327526 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.327533 3038403 net.cpp:139] Memory required for data: 11520 I0102 05:14:55.327539 3038403 net.cpp:202] three does not need backward computation. I0102 05:14:55.327548 3038403 net.cpp:202] two does not need backward computation. I0102 05:14:55.327553 3038403 net.cpp:202] one does not need backward computation. I0102 05:14:55.327564 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.327570 3038403 net.cpp:244] This network produces output three I0102 05:14:55.327580 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.328006 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpsqp6hpjg I0102 05:14:55.328022 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.328028 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.328047 3038403 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" } } I0102 05:14:55.328101 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.328114 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.328135 3038403 net.cpp:382] input -> data I0102 05:14:55.328146 3038403 net.cpp:124] Setting up input I0102 05:14:55.328152 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.328161 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.328166 3038403 layer_factory.hpp:77] Creating layer layer I0102 05:14:55.328198 3038403 net.cpp:86] Creating Layer layer I0102 05:14:55.328205 3038403 net.cpp:408] layer <- data I0102 05:14:55.328214 3038403 net.cpp:382] layer -> top .I0102 05:14:55.328940 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp47dvmqkb I0102 05:14:55.328965 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.328971 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.328994 3038403 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" } } I0102 05:14:55.329066 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.329079 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.329087 3038403 net.cpp:382] input -> data I0102 05:14:55.329100 3038403 net.cpp:124] Setting up input I0102 05:14:55.329106 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.329113 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.329119 3038403 layer_factory.hpp:77] Creating layer one I0102 05:14:55.329152 3038403 net.cpp:86] Creating Layer one I0102 05:14:55.329160 3038403 net.cpp:408] one <- data I0102 05:14:55.329169 3038403 net.cpp:382] one -> one I0102 05:14:55.329210 3038403 net.cpp:124] Setting up one I0102 05:14:55.329218 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.329224 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.329231 3038403 layer_factory.hpp:77] Creating layer two I0102 05:14:55.329254 3038403 net.cpp:86] Creating Layer two I0102 05:14:55.329262 3038403 net.cpp:408] two <- one I0102 05:14:55.329270 3038403 net.cpp:382] two -> two I0102 05:14:55.329303 3038403 net.cpp:124] Setting up two I0102 05:14:55.329309 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.329316 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.329321 3038403 layer_factory.hpp:77] Creating layer three I0102 05:14:55.329345 3038403 net.cpp:86] Creating Layer three I0102 05:14:55.329352 3038403 net.cpp:408] three <- two I0102 05:14:55.329360 3038403 net.cpp:382] three -> three I0102 05:14:55.329391 3038403 net.cpp:124] Setting up three I0102 05:14:55.329399 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.329406 3038403 net.cpp:139] Memory required for data: 11520 I0102 05:14:55.329412 3038403 net.cpp:202] three does not need backward computation. I0102 05:14:55.329418 3038403 net.cpp:202] two does not need backward computation. I0102 05:14:55.329423 3038403 net.cpp:202] one does not need backward computation. I0102 05:14:55.329428 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.329433 3038403 net.cpp:244] This network produces output three I0102 05:14:55.329442 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.335852 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpbkjrzp3u I0102 05:14:55.335886 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.335892 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.335927 3038403 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" } } I0102 05:14:55.336027 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.336045 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.336055 3038403 net.cpp:382] input -> data I0102 05:14:55.336076 3038403 net.cpp:124] Setting up input I0102 05:14:55.336082 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.336102 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.336109 3038403 layer_factory.hpp:77] Creating layer one I0102 05:14:55.336155 3038403 net.cpp:86] Creating Layer one I0102 05:14:55.336164 3038403 net.cpp:408] one <- data I0102 05:14:55.336174 3038403 net.cpp:382] one -> one I0102 05:14:55.336270 3038403 net.cpp:124] Setting up one I0102 05:14:55.336284 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.336292 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.336297 3038403 layer_factory.hpp:77] Creating layer two I0102 05:14:55.336324 3038403 net.cpp:86] Creating Layer two I0102 05:14:55.336331 3038403 net.cpp:408] two <- one I0102 05:14:55.336339 3038403 net.cpp:382] two -> two I0102 05:14:55.336371 3038403 net.cpp:124] Setting up two I0102 05:14:55.336378 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.336385 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.336390 3038403 layer_factory.hpp:77] Creating layer three I0102 05:14:55.336413 3038403 net.cpp:86] Creating Layer three I0102 05:14:55.336421 3038403 net.cpp:408] three <- two I0102 05:14:55.336431 3038403 net.cpp:382] three -> three I0102 05:14:55.336460 3038403 net.cpp:124] Setting up three I0102 05:14:55.336467 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.336474 3038403 net.cpp:139] Memory required for data: 11520 I0102 05:14:55.336479 3038403 net.cpp:202] three does not need backward computation. I0102 05:14:55.336486 3038403 net.cpp:202] two does not need backward computation. I0102 05:14:55.336491 3038403 net.cpp:202] one does not need backward computation. I0102 05:14:55.336498 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.336503 3038403 net.cpp:244] This network produces output three I0102 05:14:55.336513 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.336877 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp3b30h6a8 I0102 05:14:55.336897 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.336905 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.336920 3038403 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" } } I0102 05:14:55.336972 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.336983 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.336992 3038403 net.cpp:382] input -> data I0102 05:14:55.337004 3038403 net.cpp:124] Setting up input I0102 05:14:55.337010 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.337018 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.337023 3038403 layer_factory.hpp:77] Creating layer layer I0102 05:14:55.337055 3038403 net.cpp:86] Creating Layer layer I0102 05:14:55.337064 3038403 net.cpp:408] layer <- data I0102 05:14:55.337071 3038403 net.cpp:382] layer -> top I0102 05:14:55.337138 3038403 net.cpp:124] Setting up layer I0102 05:14:55.337157 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.337167 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.337181 3038403 net.cpp:202] layer does not need backward computation. I0102 05:14:55.337194 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.337200 3038403 net.cpp:244] This network produces output top I0102 05:14:55.337208 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.337940 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp3b30h6a8 I0102 05:14:55.337961 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.337968 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.337982 3038403 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" } } I0102 05:14:55.338035 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.338047 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.338057 3038403 net.cpp:382] input -> data I0102 05:14:55.338070 3038403 net.cpp:124] Setting up input I0102 05:14:55.338076 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.338084 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.338090 3038403 layer_factory.hpp:77] Creating layer layer I0102 05:14:55.338124 3038403 net.cpp:86] Creating Layer layer I0102 05:14:55.338132 3038403 net.cpp:408] layer <- data I0102 05:14:55.338140 3038403 net.cpp:382] layer -> top I0102 05:14:55.338192 3038403 net.cpp:124] Setting up layer I0102 05:14:55.338199 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.338207 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.338217 3038403 net.cpp:202] layer does not need backward computation. I0102 05:14:55.338224 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.338229 3038403 net.cpp:244] This network produces output top I0102 05:14:55.338238 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.338814 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9kjjdujh I0102 05:14:55.338829 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.338835 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.338858 3038403 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" } } I0102 05:14:55.338930 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.338943 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.338950 3038403 net.cpp:382] input -> data I0102 05:14:55.338964 3038403 net.cpp:124] Setting up input I0102 05:14:55.338970 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.338979 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.338984 3038403 layer_factory.hpp:77] Creating layer one I0102 05:14:55.339017 3038403 net.cpp:86] Creating Layer one I0102 05:14:55.339025 3038403 net.cpp:408] one <- data I0102 05:14:55.339032 3038403 net.cpp:382] one -> one I0102 05:14:55.339074 3038403 net.cpp:124] Setting up one I0102 05:14:55.339082 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.339095 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.339104 3038403 layer_factory.hpp:77] Creating layer two I0102 05:14:55.339154 3038403 net.cpp:86] Creating Layer two I0102 05:14:55.339167 3038403 net.cpp:408] two <- one I0102 05:14:55.339179 3038403 net.cpp:382] two -> two I0102 05:14:55.339223 3038403 net.cpp:124] Setting up two I0102 05:14:55.339231 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.339237 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.339241 3038403 layer_factory.hpp:77] Creating layer three I0102 05:14:55.339259 3038403 net.cpp:86] Creating Layer three I0102 05:14:55.339264 3038403 net.cpp:408] three <- two I0102 05:14:55.339272 3038403 net.cpp:382] three -> three I0102 05:14:55.339294 3038403 net.cpp:124] Setting up three I0102 05:14:55.339303 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.339309 3038403 net.cpp:139] Memory required for data: 11520 I0102 05:14:55.339314 3038403 net.cpp:202] three does not need backward computation. I0102 05:14:55.339318 3038403 net.cpp:202] two does not need backward computation. I0102 05:14:55.339323 3038403 net.cpp:202] one does not need backward computation. I0102 05:14:55.339329 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.339334 3038403 net.cpp:244] This network produces output three I0102 05:14:55.339340 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.339815 3038403 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" } } I0102 05:14:55.339886 3038403 layer_factory.hpp:77] Creating layer layer I0102 05:14:55.339936 3038403 net.cpp:86] Creating Layer layer I0102 05:14:55.339947 3038403 net.cpp:382] layer -> phase I0102 05:14:55.339998 3038403 net.cpp:124] Setting up layer I0102 05:14:55.340008 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.340021 3038403 net.cpp:139] Memory required for data: 4 I0102 05:14:55.340029 3038403 net.cpp:202] layer does not need backward computation. I0102 05:14:55.340032 3038403 net.cpp:244] This network produces output phase I0102 05:14:55.340045 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.340400 3038403 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" } } I0102 05:14:55.340500 3038403 layer_factory.hpp:77] Creating layer layer I0102 05:14:55.340920 3038403 net.cpp:86] Creating Layer layer I0102 05:14:55.340946 3038403 net.cpp:382] layer -> phase I0102 05:14:55.341012 3038403 net.cpp:124] Setting up layer I0102 05:14:55.341039 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.341075 3038403 net.cpp:139] Memory required for data: 4 I0102 05:14:55.341106 3038403 net.cpp:202] layer does not need backward computation. I0102 05:14:55.341118 3038403 net.cpp:244] This network produces output phase I0102 05:14:55.341127 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.342151 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpmzneyetq I0102 05:14:55.342172 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.342178 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.342209 3038403 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" } } I0102 05:14:55.342300 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.342314 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.342322 3038403 net.cpp:382] input -> data I0102 05:14:55.342340 3038403 net.cpp:124] Setting up input I0102 05:14:55.342347 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.342356 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.342362 3038403 layer_factory.hpp:77] Creating layer one I0102 05:14:55.342407 3038403 net.cpp:86] Creating Layer one I0102 05:14:55.342415 3038403 net.cpp:408] one <- data I0102 05:14:55.342422 3038403 net.cpp:382] one -> one I0102 05:14:55.342471 3038403 net.cpp:124] Setting up one I0102 05:14:55.342478 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.342485 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.342491 3038403 layer_factory.hpp:77] Creating layer two I0102 05:14:55.342514 3038403 net.cpp:86] Creating Layer two I0102 05:14:55.342519 3038403 net.cpp:408] two <- one I0102 05:14:55.342526 3038403 net.cpp:382] two -> two I0102 05:14:55.342553 3038403 net.cpp:124] Setting up two I0102 05:14:55.342561 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.342567 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.342572 3038403 layer_factory.hpp:77] Creating layer three I0102 05:14:55.342592 3038403 net.cpp:86] Creating Layer three I0102 05:14:55.342597 3038403 net.cpp:408] three <- two I0102 05:14:55.342605 3038403 net.cpp:382] three -> three I0102 05:14:55.342631 3038403 net.cpp:124] Setting up three I0102 05:14:55.342638 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.342643 3038403 net.cpp:139] Memory required for data: 11520 I0102 05:14:55.342648 3038403 net.cpp:202] three does not need backward computation. I0102 05:14:55.342655 3038403 net.cpp:202] two does not need backward computation. I0102 05:14:55.342660 3038403 net.cpp:202] one does not need backward computation. I0102 05:14:55.342666 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.342672 3038403 net.cpp:244] This network produces output three I0102 05:14:55.342682 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.343741 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp1gnqhu9i I0102 05:14:55.343768 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.343775 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.343802 3038403 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" } } I0102 05:14:55.343888 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.343902 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.343910 3038403 net.cpp:382] input -> data I0102 05:14:55.343925 3038403 net.cpp:124] Setting up input I0102 05:14:55.343932 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.343941 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.343946 3038403 layer_factory.hpp:77] Creating layer mul10 I0102 05:14:55.343988 3038403 net.cpp:86] Creating Layer mul10 I0102 05:14:55.343995 3038403 net.cpp:408] mul10 <- data I0102 05:14:55.344005 3038403 net.cpp:382] mul10 -> mul10 I0102 05:14:55.344065 3038403 net.cpp:124] Setting up mul10 I0102 05:14:55.344084 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.344092 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.344097 3038403 layer_factory.hpp:77] Creating layer mul2 I0102 05:14:55.344120 3038403 net.cpp:86] Creating Layer mul2 I0102 05:14:55.344126 3038403 net.cpp:408] mul2 <- mul10 I0102 05:14:55.344133 3038403 net.cpp:382] mul2 -> mul2 I0102 05:14:55.344164 3038403 net.cpp:124] Setting up mul2 I0102 05:14:55.344172 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.344178 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.344183 3038403 net.cpp:202] mul2 does not need backward computation. I0102 05:14:55.344189 3038403 net.cpp:202] mul10 does not need backward computation. I0102 05:14:55.344195 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.344202 3038403 net.cpp:244] This network produces output mul2 I0102 05:14:55.344209 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.350539 3038403 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpp9g2tjho I0102 05:14:55.350574 3038403 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0102 05:14:55.350579 3038403 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0102 05:14:55.350610 3038403 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" } } I0102 05:14:55.350705 3038403 layer_factory.hpp:77] Creating layer input I0102 05:14:55.350723 3038403 net.cpp:86] Creating Layer input I0102 05:14:55.350733 3038403 net.cpp:382] input -> data I0102 05:14:55.350764 3038403 net.cpp:124] Setting up input I0102 05:14:55.350772 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.350781 3038403 net.cpp:139] Memory required for data: 2880 I0102 05:14:55.350788 3038403 layer_factory.hpp:77] Creating layer mul10 I0102 05:14:55.350837 3038403 net.cpp:86] Creating Layer mul10 I0102 05:14:55.350845 3038403 net.cpp:408] mul10 <- data I0102 05:14:55.350855 3038403 net.cpp:382] mul10 -> mul10 I0102 05:14:55.350910 3038403 net.cpp:124] Setting up mul10 I0102 05:14:55.350925 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.350934 3038403 net.cpp:139] Memory required for data: 5760 I0102 05:14:55.350939 3038403 layer_factory.hpp:77] Creating layer mul2 I0102 05:14:55.350965 3038403 net.cpp:86] Creating Layer mul2 I0102 05:14:55.350975 3038403 net.cpp:408] mul2 <- mul10 I0102 05:14:55.350991 3038403 net.cpp:382] mul2 -> mul2 I0102 05:14:55.351028 3038403 net.cpp:124] Setting up mul2 I0102 05:14:55.351037 3038403 net.cpp:131] Top shape: 10 9 8 (720) I0102 05:14:55.351043 3038403 net.cpp:139] Memory required for data: 8640 I0102 05:14:55.351049 3038403 net.cpp:202] mul2 does not need backward computation. I0102 05:14:55.351055 3038403 net.cpp:202] mul10 does not need backward computation. I0102 05:14:55.351064 3038403 net.cpp:202] input does not need backward computation. I0102 05:14:55.351069 3038403 net.cpp:244] This network produces output mul2 I0102 05:14:55.351078 3038403 net.cpp:257] Network initialization done. .I0102 05:14:55.357622 3038403 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/tmp1n51ln18" snapshot_after_train: false I0102 05:14:55.357723 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmp1n51ln18 I0102 05:14:55.357913 3038403 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" } I0102 05:14:55.358040 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.358057 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.358067 3038403 net.cpp:382] data -> data I0102 05:14:55.358083 3038403 net.cpp:382] data -> label I0102 05:14:55.358101 3038403 net.cpp:124] Setting up data I0102 05:14:55.358107 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.358117 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.358124 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.358130 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.358145 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.358152 3038403 net.cpp:408] conv <- data I0102 05:14:55.358162 3038403 net.cpp:382] conv -> conv I0102 05:14:55.358199 3038403 net.cpp:124] Setting up conv I0102 05:14:55.358207 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.358214 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.358230 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.358242 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.358247 3038403 net.cpp:408] ip <- conv I0102 05:14:55.358256 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.358430 3038403 net.cpp:124] Setting up ip I0102 05:14:55.358440 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.358458 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.358470 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.358480 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.358486 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.358494 3038403 net.cpp:408] loss <- label I0102 05:14:55.358502 3038403 net.cpp:382] loss -> loss I0102 05:14:55.358515 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.358538 3038403 net.cpp:124] Setting up loss I0102 05:14:55.358546 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.358552 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.358567 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.358574 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.358582 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.358588 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.358597 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.358608 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.358618 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.358791 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1n51ln18 I0102 05:14:55.358820 3038403 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" } I0102 05:14:55.358947 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.358961 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.358971 3038403 net.cpp:382] data -> data I0102 05:14:55.358983 3038403 net.cpp:382] data -> label I0102 05:14:55.358999 3038403 net.cpp:124] Setting up data I0102 05:14:55.359005 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.359014 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.359021 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.359027 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.359040 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.359046 3038403 net.cpp:408] conv <- data I0102 05:14:55.359056 3038403 net.cpp:382] conv -> conv I0102 05:14:55.359086 3038403 net.cpp:124] Setting up conv I0102 05:14:55.359093 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.359102 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.359115 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.359125 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.359133 3038403 net.cpp:408] ip <- conv I0102 05:14:55.359141 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.359311 3038403 net.cpp:124] Setting up ip I0102 05:14:55.359320 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.359328 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.359340 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.359350 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.359356 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.359364 3038403 net.cpp:408] loss <- label I0102 05:14:55.359373 3038403 net.cpp:382] loss -> loss I0102 05:14:55.359385 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.359402 3038403 net.cpp:124] Setting up loss I0102 05:14:55.359408 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.359416 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.359428 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.359434 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.359441 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.359447 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.359454 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.359460 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.359469 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.359498 3038403 solver.cpp:57] Solver scaffolding done. I0102 05:14:55.359616 3038403 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/tmp1n51ln18" snapshot_after_train: false I0102 05:14:55.359668 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmp1n51ln18 I0102 05:14:55.359830 3038403 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" } I0102 05:14:55.359953 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.359968 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.359977 3038403 net.cpp:382] data -> data I0102 05:14:55.359992 3038403 net.cpp:382] data -> label I0102 05:14:55.360006 3038403 net.cpp:124] Setting up data I0102 05:14:55.360013 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.360023 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.360030 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.360038 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.360049 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.360056 3038403 net.cpp:408] conv <- data I0102 05:14:55.360066 3038403 net.cpp:382] conv -> conv I0102 05:14:55.360097 3038403 net.cpp:124] Setting up conv I0102 05:14:55.360105 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.360113 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.360127 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.360139 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.360146 3038403 net.cpp:408] ip <- conv I0102 05:14:55.360155 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.360327 3038403 net.cpp:124] Setting up ip I0102 05:14:55.360343 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.360352 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.360365 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.360375 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.360381 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.360388 3038403 net.cpp:408] loss <- label I0102 05:14:55.360397 3038403 net.cpp:382] loss -> loss I0102 05:14:55.360409 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.360433 3038403 net.cpp:124] Setting up loss I0102 05:14:55.360440 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.360448 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.360460 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.360466 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.360472 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.360478 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.360486 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.360491 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.360502 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.360750 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1n51ln18 I0102 05:14:55.360787 3038403 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" } I0102 05:14:55.360888 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.360903 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.360911 3038403 net.cpp:382] data -> data I0102 05:14:55.360924 3038403 net.cpp:382] data -> label I0102 05:14:55.360939 3038403 net.cpp:124] Setting up data I0102 05:14:55.360944 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.360951 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.360957 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.360963 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.360975 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.360980 3038403 net.cpp:408] conv <- data I0102 05:14:55.360988 3038403 net.cpp:382] conv -> conv I0102 05:14:55.361014 3038403 net.cpp:124] Setting up conv I0102 05:14:55.361021 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.361027 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.361038 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.361048 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.361054 3038403 net.cpp:408] ip <- conv I0102 05:14:55.361063 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.361214 3038403 net.cpp:124] Setting up ip I0102 05:14:55.361223 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.361230 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.361241 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.361249 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.361255 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.361261 3038403 net.cpp:408] loss <- label I0102 05:14:55.361268 3038403 net.cpp:382] loss -> loss I0102 05:14:55.361279 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.361294 3038403 net.cpp:124] Setting up loss I0102 05:14:55.361300 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.361307 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.361317 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.361322 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.361328 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.361335 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.361340 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.361346 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.361354 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.361377 3038403 solver.cpp:57] Solver scaffolding done. I0102 05:14:55.361953 3038403 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I0102 05:14:55.362895 3038403 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/tmpwyaqic9_" snapshot_after_train: false I0102 05:14:55.362953 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmpwyaqic9_ I0102 05:14:55.363113 3038403 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" } I0102 05:14:55.363241 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.363256 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.363266 3038403 net.cpp:382] data -> data I0102 05:14:55.363282 3038403 net.cpp:382] data -> label I0102 05:14:55.363301 3038403 net.cpp:124] Setting up data I0102 05:14:55.363308 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.363317 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.363324 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.363330 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.363345 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.363358 3038403 net.cpp:408] conv <- data I0102 05:14:55.363368 3038403 net.cpp:382] conv -> conv I0102 05:14:55.363402 3038403 net.cpp:124] Setting up conv I0102 05:14:55.363409 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.363416 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.363431 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.363442 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.363447 3038403 net.cpp:408] ip <- conv I0102 05:14:55.363456 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.363607 3038403 net.cpp:124] Setting up ip I0102 05:14:55.363616 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.363623 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.363633 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.363642 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.363648 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.363654 3038403 net.cpp:408] loss <- label I0102 05:14:55.363662 3038403 net.cpp:382] loss -> loss I0102 05:14:55.363673 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.363694 3038403 net.cpp:124] Setting up loss I0102 05:14:55.363700 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.363708 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.363718 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.363724 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.363731 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.363737 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.363792 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.363799 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.363809 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.363981 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpwyaqic9_ I0102 05:14:55.364015 3038403 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" } I0102 05:14:55.364127 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.364142 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.364151 3038403 net.cpp:382] data -> data I0102 05:14:55.364164 3038403 net.cpp:382] data -> label I0102 05:14:55.364179 3038403 net.cpp:124] Setting up data I0102 05:14:55.364187 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.364195 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.364207 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.364212 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.364226 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.364233 3038403 net.cpp:408] conv <- data I0102 05:14:55.364243 3038403 net.cpp:382] conv -> conv I0102 05:14:55.364274 3038403 net.cpp:124] Setting up conv I0102 05:14:55.364280 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.364289 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.364302 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.364315 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.364321 3038403 net.cpp:408] ip <- conv I0102 05:14:55.364331 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.364499 3038403 net.cpp:124] Setting up ip I0102 05:14:55.364508 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.364516 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.364528 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.364538 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.364544 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.364552 3038403 net.cpp:408] loss <- label I0102 05:14:55.364562 3038403 net.cpp:382] loss -> loss I0102 05:14:55.364701 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.364722 3038403 net.cpp:124] Setting up loss I0102 05:14:55.364728 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.364737 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.364748 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.364755 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.364763 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.364769 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.364778 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.364784 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.364794 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.364823 3038403 solver.cpp:57] Solver scaffolding done. I0102 05:14:55.364934 3038403 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/tmpwyaqic9_" snapshot_after_train: false I0102 05:14:55.364984 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmpwyaqic9_ I0102 05:14:55.365139 3038403 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" } I0102 05:14:55.365254 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.365268 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.365278 3038403 net.cpp:382] data -> data I0102 05:14:55.365291 3038403 net.cpp:382] data -> label I0102 05:14:55.365306 3038403 net.cpp:124] Setting up data I0102 05:14:55.365314 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.365322 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.365329 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.365335 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.365347 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.365355 3038403 net.cpp:408] conv <- data I0102 05:14:55.365365 3038403 net.cpp:382] conv -> conv I0102 05:14:55.365396 3038403 net.cpp:124] Setting up conv I0102 05:14:55.365403 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.365411 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.365424 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.365434 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.365440 3038403 net.cpp:408] ip <- conv I0102 05:14:55.365449 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.365622 3038403 net.cpp:124] Setting up ip I0102 05:14:55.365644 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.365653 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.365665 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.365676 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.365684 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.365690 3038403 net.cpp:408] loss <- label I0102 05:14:55.365710 3038403 net.cpp:382] loss -> loss I0102 05:14:55.365725 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.365743 3038403 net.cpp:124] Setting up loss I0102 05:14:55.365751 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.365758 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.365775 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.365782 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.365789 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.365795 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.365803 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.365809 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.365819 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.365988 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpwyaqic9_ I0102 05:14:55.366024 3038403 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" } I0102 05:14:55.366150 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.366163 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.366170 3038403 net.cpp:382] data -> data I0102 05:14:55.366183 3038403 net.cpp:382] data -> label I0102 05:14:55.366204 3038403 net.cpp:124] Setting up data I0102 05:14:55.366271 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.366278 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.366286 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.366291 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.366303 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.366309 3038403 net.cpp:408] conv <- data I0102 05:14:55.366318 3038403 net.cpp:382] conv -> conv I0102 05:14:55.366355 3038403 net.cpp:124] Setting up conv I0102 05:14:55.366362 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.366369 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.366384 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.366394 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.366405 3038403 net.cpp:408] ip <- conv I0102 05:14:55.366415 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.366564 3038403 net.cpp:124] Setting up ip I0102 05:14:55.366572 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.366580 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.366590 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.366598 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.366605 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.366611 3038403 net.cpp:408] loss <- label I0102 05:14:55.366618 3038403 net.cpp:382] loss -> loss I0102 05:14:55.366628 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.366643 3038403 net.cpp:124] Setting up loss I0102 05:14:55.366650 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.366657 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.366667 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.366672 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.366676 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.366683 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.366688 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.366693 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.366701 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.366724 3038403 solver.cpp:57] Solver scaffolding done. .I0102 05:14:55.369308 3038403 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/tmp_r1g42l7" snapshot_after_train: false I0102 05:14:55.369385 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmp_r1g42l7 I0102 05:14:55.369558 3038403 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" } I0102 05:14:55.369699 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.369715 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.369726 3038403 net.cpp:382] data -> data I0102 05:14:55.369745 3038403 net.cpp:382] data -> label I0102 05:14:55.369765 3038403 net.cpp:124] Setting up data I0102 05:14:55.369771 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.369781 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.369789 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.369796 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.369810 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.369817 3038403 net.cpp:408] conv <- data I0102 05:14:55.369828 3038403 net.cpp:382] conv -> conv I0102 05:14:55.369870 3038403 net.cpp:124] Setting up conv I0102 05:14:55.369879 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.369885 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.369902 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.369913 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.369920 3038403 net.cpp:408] ip <- conv I0102 05:14:55.369930 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.370106 3038403 net.cpp:124] Setting up ip I0102 05:14:55.370115 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.370123 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.370136 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.370147 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.370153 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.370162 3038403 net.cpp:408] loss <- label I0102 05:14:55.370169 3038403 net.cpp:382] loss -> loss I0102 05:14:55.370182 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.370203 3038403 net.cpp:124] Setting up loss I0102 05:14:55.370210 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.370218 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.370231 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.370239 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.370246 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.370254 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.370261 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.370268 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.370278 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.370447 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp_r1g42l7 I0102 05:14:55.370478 3038403 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" } I0102 05:14:55.370601 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.370616 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.370627 3038403 net.cpp:382] data -> data I0102 05:14:55.370640 3038403 net.cpp:382] data -> label I0102 05:14:55.370656 3038403 net.cpp:124] Setting up data I0102 05:14:55.370661 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.370671 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.370678 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.370683 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.370697 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.370703 3038403 net.cpp:408] conv <- data I0102 05:14:55.370713 3038403 net.cpp:382] conv -> conv I0102 05:14:55.370744 3038403 net.cpp:124] Setting up conv I0102 05:14:55.370752 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.370760 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.370774 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.370785 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.370792 3038403 net.cpp:408] ip <- conv I0102 05:14:55.370801 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.370970 3038403 net.cpp:124] Setting up ip I0102 05:14:55.370980 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.370988 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.371001 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.371011 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.371016 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.371023 3038403 net.cpp:408] loss <- label I0102 05:14:55.371032 3038403 net.cpp:382] loss -> loss I0102 05:14:55.371044 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.371063 3038403 net.cpp:124] Setting up loss I0102 05:14:55.371069 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.371076 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.371088 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.371093 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.371100 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.371106 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.371114 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.371119 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.371129 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.371156 3038403 solver.cpp:57] Solver scaffolding done. I0102 05:14:55.371260 3038403 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/tmp_r1g42l7" snapshot_after_train: false I0102 05:14:55.371306 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmp_r1g42l7 I0102 05:14:55.371465 3038403 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" } I0102 05:14:55.371583 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.371598 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.371608 3038403 net.cpp:382] data -> data I0102 05:14:55.371621 3038403 net.cpp:382] data -> label I0102 05:14:55.371636 3038403 net.cpp:124] Setting up data I0102 05:14:55.371644 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.371652 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.371659 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.371667 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.371680 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.371686 3038403 net.cpp:408] conv <- data I0102 05:14:55.371696 3038403 net.cpp:382] conv -> conv I0102 05:14:55.371728 3038403 net.cpp:124] Setting up conv I0102 05:14:55.371735 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.371743 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.371757 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.371767 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.371773 3038403 net.cpp:408] ip <- conv I0102 05:14:55.371781 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.371953 3038403 net.cpp:124] Setting up ip I0102 05:14:55.371963 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.371971 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.371984 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.371994 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.372001 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.372009 3038403 net.cpp:408] loss <- label I0102 05:14:55.372023 3038403 net.cpp:382] loss -> loss I0102 05:14:55.372033 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.372049 3038403 net.cpp:124] Setting up loss I0102 05:14:55.372056 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.372061 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.372071 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.372077 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.372083 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.372089 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.372095 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.372100 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.372108 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.372259 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp_r1g42l7 I0102 05:14:55.372292 3038403 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" } I0102 05:14:55.372396 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.372428 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.372437 3038403 net.cpp:382] data -> data I0102 05:14:55.372447 3038403 net.cpp:382] data -> label I0102 05:14:55.372462 3038403 net.cpp:124] Setting up data I0102 05:14:55.372467 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.372474 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.372480 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.372485 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.372503 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.372509 3038403 net.cpp:408] conv <- data I0102 05:14:55.372519 3038403 net.cpp:382] conv -> conv I0102 05:14:55.372545 3038403 net.cpp:124] Setting up conv I0102 05:14:55.372562 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.372606 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.372618 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.372628 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.372633 3038403 net.cpp:408] ip <- conv I0102 05:14:55.372642 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.372793 3038403 net.cpp:124] Setting up ip I0102 05:14:55.372802 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.372810 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.372822 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.372833 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.372838 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.372853 3038403 net.cpp:408] loss <- label I0102 05:14:55.372862 3038403 net.cpp:382] loss -> loss I0102 05:14:55.372877 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.372893 3038403 net.cpp:124] Setting up loss I0102 05:14:55.372905 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.372915 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.372923 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.372928 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.372937 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.372942 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.372948 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.372954 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.372963 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.372989 3038403 solver.cpp:57] Solver scaffolding done. I0102 05:14:55.373541 3038403 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I0102 05:14:55.373798 3038403 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I0102 05:14:55.374730 3038403 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/tmpxzopbysw" snapshot_after_train: false I0102 05:14:55.374804 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmpxzopbysw I0102 05:14:55.374969 3038403 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" } I0102 05:14:55.375094 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.375108 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.375118 3038403 net.cpp:382] data -> data I0102 05:14:55.375133 3038403 net.cpp:382] data -> label I0102 05:14:55.375150 3038403 net.cpp:124] Setting up data I0102 05:14:55.375156 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.375165 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.375172 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.375178 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.375192 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.375198 3038403 net.cpp:408] conv <- data I0102 05:14:55.375209 3038403 net.cpp:382] conv -> conv I0102 05:14:55.375243 3038403 net.cpp:124] Setting up conv I0102 05:14:55.375250 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.375257 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.375272 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.375283 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.375289 3038403 net.cpp:408] ip <- conv I0102 05:14:55.375298 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.375463 3038403 net.cpp:124] Setting up ip I0102 05:14:55.375479 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.375488 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.375497 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.375506 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.375512 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.375519 3038403 net.cpp:408] loss <- label I0102 05:14:55.375526 3038403 net.cpp:382] loss -> loss I0102 05:14:55.375538 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.375558 3038403 net.cpp:124] Setting up loss I0102 05:14:55.375564 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.375572 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.375592 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.375598 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.375604 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.375610 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.375618 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.375624 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.375634 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.375799 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxzopbysw I0102 05:14:55.375828 3038403 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" } I0102 05:14:55.375943 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.375957 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.375967 3038403 net.cpp:382] data -> data I0102 05:14:55.375982 3038403 net.cpp:382] data -> label I0102 05:14:55.375999 3038403 net.cpp:124] Setting up data I0102 05:14:55.376008 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.376016 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.376025 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.376030 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.376044 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.376049 3038403 net.cpp:408] conv <- data I0102 05:14:55.376058 3038403 net.cpp:382] conv -> conv I0102 05:14:55.376091 3038403 net.cpp:124] Setting up conv I0102 05:14:55.376101 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.376108 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.376121 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.376132 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.376137 3038403 net.cpp:408] ip <- conv I0102 05:14:55.376147 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.376387 3038403 net.cpp:124] Setting up ip I0102 05:14:55.376402 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.376410 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.376422 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.376432 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.376438 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.376446 3038403 net.cpp:408] loss <- label I0102 05:14:55.376454 3038403 net.cpp:382] loss -> loss I0102 05:14:55.376466 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.376483 3038403 net.cpp:124] Setting up loss I0102 05:14:55.376489 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.376497 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.376508 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.376514 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.376520 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.376526 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.376533 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.376539 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.376549 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.376639 3038403 solver.cpp:57] Solver scaffolding done. I0102 05:14:55.376756 3038403 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/tmpxzopbysw" snapshot_after_train: false I0102 05:14:55.376809 3038403 solver.cpp:102] Creating training net from net file: /tmp/tmpxzopbysw I0102 05:14:55.376976 3038403 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" } I0102 05:14:55.377094 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.377106 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.377116 3038403 net.cpp:382] data -> data I0102 05:14:55.377130 3038403 net.cpp:382] data -> label I0102 05:14:55.377144 3038403 net.cpp:124] Setting up data I0102 05:14:55.377151 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.377161 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.377168 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.377175 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.377188 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.377194 3038403 net.cpp:408] conv <- data I0102 05:14:55.377203 3038403 net.cpp:382] conv -> conv I0102 05:14:55.377235 3038403 net.cpp:124] Setting up conv I0102 05:14:55.377243 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.377250 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.377264 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.377275 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.377281 3038403 net.cpp:408] ip <- conv I0102 05:14:55.377290 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.377465 3038403 net.cpp:124] Setting up ip I0102 05:14:55.377475 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.377481 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.377492 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.377502 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.377509 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.377516 3038403 net.cpp:408] loss <- label I0102 05:14:55.377524 3038403 net.cpp:382] loss -> loss I0102 05:14:55.377537 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.377557 3038403 net.cpp:124] Setting up loss I0102 05:14:55.377563 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.377570 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.377581 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.377588 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.377594 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.377600 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.377609 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.377614 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.377625 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.377790 3038403 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxzopbysw I0102 05:14:55.377820 3038403 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" } I0102 05:14:55.377943 3038403 layer_factory.hpp:77] Creating layer data I0102 05:14:55.377954 3038403 net.cpp:86] Creating Layer data I0102 05:14:55.377962 3038403 net.cpp:382] data -> data I0102 05:14:55.377974 3038403 net.cpp:382] data -> label I0102 05:14:55.377987 3038403 net.cpp:124] Setting up data I0102 05:14:55.377993 3038403 net.cpp:131] Top shape: 5 2 3 4 (120) I0102 05:14:55.378001 3038403 net.cpp:131] Top shape: 5 1 1 1 (5) I0102 05:14:55.378007 3038403 net.cpp:139] Memory required for data: 500 I0102 05:14:55.378013 3038403 layer_factory.hpp:77] Creating layer conv I0102 05:14:55.378023 3038403 net.cpp:86] Creating Layer conv I0102 05:14:55.378029 3038403 net.cpp:408] conv <- data I0102 05:14:55.378042 3038403 net.cpp:382] conv -> conv I0102 05:14:55.378073 3038403 net.cpp:124] Setting up conv I0102 05:14:55.378078 3038403 net.cpp:131] Top shape: 5 11 8 9 (3960) I0102 05:14:55.378085 3038403 net.cpp:139] Memory required for data: 16340 I0102 05:14:55.378098 3038403 layer_factory.hpp:77] Creating layer ip I0102 05:14:55.378108 3038403 net.cpp:86] Creating Layer ip I0102 05:14:55.378113 3038403 net.cpp:408] ip <- conv I0102 05:14:55.378120 3038403 net.cpp:382] ip -> ip_blob I0102 05:14:55.378270 3038403 net.cpp:124] Setting up ip I0102 05:14:55.378278 3038403 net.cpp:131] Top shape: 5 13 (65) I0102 05:14:55.378285 3038403 net.cpp:139] Memory required for data: 16600 I0102 05:14:55.378296 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.378306 3038403 net.cpp:86] Creating Layer loss I0102 05:14:55.378311 3038403 net.cpp:408] loss <- ip_blob I0102 05:14:55.378319 3038403 net.cpp:408] loss <- label I0102 05:14:55.378325 3038403 net.cpp:382] loss -> loss I0102 05:14:55.378336 3038403 layer_factory.hpp:77] Creating layer loss I0102 05:14:55.378351 3038403 net.cpp:124] Setting up loss I0102 05:14:55.378357 3038403 net.cpp:131] Top shape: (1) I0102 05:14:55.378365 3038403 net.cpp:134] with loss weight 1 I0102 05:14:55.378374 3038403 net.cpp:139] Memory required for data: 16604 I0102 05:14:55.378379 3038403 net.cpp:200] loss needs backward computation. I0102 05:14:55.378386 3038403 net.cpp:200] ip needs backward computation. I0102 05:14:55.378391 3038403 net.cpp:200] conv needs backward computation. I0102 05:14:55.378397 3038403 net.cpp:202] data does not need backward computation. I0102 05:14:55.378402 3038403 net.cpp:244] This network produces output loss I0102 05:14:55.378412 3038403 net.cpp:257] Network initialization done. I0102 05:14:55.378433 3038403 solver.cpp:57] Solver scaffolding done. I0102 05:14:55.378986 3038403 solver.cpp:289] Solving testnet I0102 05:14:55.379006 3038403 solver.cpp:290] Learning Rate Policy: inv I0102 05:14:55.379029 3038403 solver.cpp:347] Iteration 0, Testing net (#0) I0102 05:14:55.380685 3038403 solver.cpp:414] Test net output #0: loss = 82.2748 (* 1 = 82.2748 loss) I0102 05:14:55.383117 3038403 solver.cpp:239] Iteration 0 (-0.00199566 iter/s, 0.004s/100 iters), loss = 87.3365 I0102 05:14:55.383177 3038403 solver.cpp:258] Train net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0102 05:14:55.383191 3038403 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I0102 05:14:55.396688 3038403 solver.cpp:347] Iteration 10, Testing net (#0) I0102 05:14:55.398443 3038403 solver.cpp:414] Test net output #0: loss = 79.2608 (* 1 = 79.2608 loss) I0102 05:14:55.406282 3038403 solver.cpp:347] Iteration 20, Testing net (#0) I0102 05:14:55.407900 3038403 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0102 05:14:55.413710 3038403 solver.cpp:347] Iteration 30, Testing net (#0) I0102 05:14:55.415333 3038403 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0102 05:14:55.431182 3038403 solver.cpp:347] Iteration 40, Testing net (#0) I0102 05:14:55.432875 3038403 solver.cpp:414] Test net output #0: loss = 85.5094 (* 1 = 85.5094 loss) I0102 05:14:55.452396 3038403 solver.cpp:347] Iteration 50, Testing net (#0) I0102 05:14:55.454315 3038403 solver.cpp:414] Test net output #0: loss = 86.3175 (* 1 = 86.3175 loss) I0102 05:14:55.464682 3038403 solver.cpp:347] Iteration 60, Testing net (#0) I0102 05:14:55.466418 3038403 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0102 05:14:55.476182 3038403 solver.cpp:347] Iteration 70, Testing net (#0) I0102 05:14:55.478013 3038403 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0102 05:14:55.490283 3038403 solver.cpp:347] Iteration 80, Testing net (#0) I0102 05:14:55.491930 3038403 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0102 05:14:55.503432 3038403 solver.cpp:347] Iteration 90, Testing net (#0) I0102 05:14:55.505100 3038403 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0102 05:14:55.520737 3038403 solver.cpp:327] Iteration 100, loss = 69.8692 I0102 05:14:55.520798 3038403 solver.cpp:347] Iteration 100, Testing net (#0) I0102 05:14:55.522401 3038403 solver.cpp:414] Test net output #0: loss = 86.8133 (* 1 = 86.8133 loss) I0102 05:14:55.522428 3038403 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 16.820s 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 -j16 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 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/progress.marks make -f CMakeFiles/Makefile2 all make[3]: 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[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 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[4]: 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[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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tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/depend make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/depend make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend 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/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_solver_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/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/compute_image_mean.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/caffe.bin.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_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[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/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 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 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 'caffe-tools-cpu' in '../caffe-tools-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 'caffe-tools-cpu-dbgsym' in '../caffe-tools-cpu-dbgsym_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-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: user script /srv/workspace/pbuilder/2636591/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/2636591/tmp/hooks/B01_cleanup finished 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/2636591 and its subdirectories I: Current time: Mon Jan 2 05:16:43 +14 2023 I: pbuilder-time-stamp: 1672586203