I: pbuilder: network access will be disabled during build I: Current time: Mon Jun 15 15:38:25 +14 2020 I: pbuilder-time-stamp: 1592185105 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: using eatmydata during job 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/477/tmp/hooks/D01_modify_environment starting debug: Running on profitbricks-build2-i386. 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/477/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/477/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]="i686-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=i386 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=10' DIRSTACK=() DISTRIBUTION= EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=i686 HOST_ARCH=i386 IFS=' ' INVOCATION_ID=c64ed7eb4e35471cbef42286c823cacb LANG=C LANGUAGE=de_CH:de LC_ALL=C LD_LIBRARY_PATH=/usr/lib/libeatmydata LD_PRELOAD=libeatmydata.so MACHTYPE=i686-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=477 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.1Xb21iU5Wn/pbuilderrc_I7Gf --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/buster-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.1Xb21iU5Wn/b2 --logfile b2/build.log caffe_1.0.0+git20180821.99bd997-2.dsc' SUDO_GID=112 SUDO_UID=107 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root _='I: set' http_proxy=http://78.137.99.97:3128 I: uname -a Linux i-capture-the-hostname 4.19.0-9-686-pae #1 SMP Debian 4.19.118-2+deb10u1 (2020-06-07) i686 GNU/Linux I: ls -l /bin total 5528 -rwxr-xr-x 1 root root 1302248 Apr 18 2019 bash -rwxr-xr-x 3 root root 38280 Jul 11 2019 bunzip2 -rwxr-xr-x 3 root root 38280 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 38280 Jul 11 2019 bzip2 -rwxr-xr-x 1 root root 17768 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 38692 Mar 1 2019 cat -rwxr-xr-x 1 root root 75588 Mar 1 2019 chgrp -rwxr-xr-x 1 root root 63268 Mar 1 2019 chmod -rwxr-xr-x 1 root root 75588 Mar 1 2019 chown -rwxr-xr-x 1 root root 153732 Mar 1 2019 cp -rwxr-xr-x 1 root root 132820 Jan 18 2019 dash -rwxr-xr-x 1 root root 120676 Mar 1 2019 date -rwxr-xr-x 1 root root 92040 Mar 1 2019 dd -rwxr-xr-x 1 root root 100620 Mar 1 2019 df -rwxr-xr-x 1 root root 149736 Mar 1 2019 dir -rwxr-xr-x 1 root root 79412 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 34532 Mar 1 2019 echo -rwxr-xr-x 1 root root 28 Jan 8 2019 egrep -rwxr-xr-x 1 root root 34532 Mar 1 2019 false -rwxr-xr-x 1 root root 28 Jan 8 2019 fgrep -rwxr-xr-x 1 root root 67700 Jan 10 2019 findmnt -rwsr-xr-x 1 root root 30112 Apr 23 09:38 fusermount -rwxr-xr-x 1 root root 206392 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 100952 Jan 6 2019 gzip -rwxr-xr-x 1 root root 21916 Sep 27 2018 hostname -rwxr-xr-x 1 root root 79752 Mar 1 2019 ln -rwxr-xr-x 1 root root 55400 Jul 27 2018 login -rwxr-xr-x 1 root root 149736 Mar 1 2019 ls -rwxr-xr-x 1 root root 112032 Jan 10 2019 lsblk -rwxr-xr-x 1 root root 87972 Mar 1 2019 mkdir -rwxr-xr-x 1 root root 79748 Mar 1 2019 mknod -rwxr-xr-x 1 root root 46916 Mar 1 2019 mktemp -rwxr-xr-x 1 root root 42348 Jan 10 2019 more -rwsr-xr-x 1 root root 50592 Jan 10 2019 mount -rwxr-xr-x 1 root root 13724 Jan 10 2019 mountpoint -rwxr-xr-x 1 root root 157832 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 38660 Mar 1 2019 pwd lrwxrwxrwx 1 root root 4 Apr 18 2019 rbash -> bash -rwxr-xr-x 1 root root 46852 Mar 1 2019 readlink -rwxr-xr-x 1 root root 75588 Mar 1 2019 rm -rwxr-xr-x 1 root root 42756 Mar 1 2019 rmdir -rwxr-xr-x 1 root root 22276 Jan 22 2019 run-parts -rwxr-xr-x 1 root root 125036 Dec 23 2018 sed lrwxrwxrwx 1 root root 4 Jun 15 15:41 sh -> bash lrwxrwxrwx 1 root root 4 Jun 13 22:25 sh.distrib -> dash -rwxr-xr-x 1 root root 34532 Mar 1 2019 sleep -rwxr-xr-x 1 root root 79652 Mar 1 2019 stty -rwsr-xr-x 1 root root 71072 Jan 10 2019 su -rwxr-xr-x 1 root root 34564 Mar 1 2019 sync -rwxr-xr-x 1 root root 504024 Apr 24 2019 tar -rwxr-xr-x 1 root root 13860 Jan 22 2019 tempfile -rwxr-xr-x 1 root root 104292 Mar 1 2019 touch -rwxr-xr-x 1 root root 34532 Mar 1 2019 true -rwxr-xr-x 1 root root 17768 Apr 23 09:38 ulockmgr_server -rwsr-xr-x 1 root root 30108 Jan 10 2019 umount -rwxr-xr-x 1 root root 34532 Mar 1 2019 uname -rwxr-xr-x 2 root root 2345 Jan 6 2019 uncompress -rwxr-xr-x 1 root root 149736 Mar 1 2019 vdir -rwxr-xr-x 1 root root 34208 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/477/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: i386 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 ... 19234 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} 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, 561 newly installed, 0 to remove and 0 not upgraded. Need to get 551 MB of archives. After unpacking 2043 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian buster/main i386 libapparmor1 i386 2.13.2-10 [96.3 kB] Get: 2 http://deb.debian.org/debian buster/main i386 libcap2 i386 1:2.25-2 [18.0 kB] Get: 3 http://deb.debian.org/debian buster/main i386 libargon2-1 i386 0~20171227-0.2 [24.1 kB] Get: 4 http://deb.debian.org/debian buster/main i386 dmsetup i386 2:1.02.155-3 [86.7 kB] Get: 5 http://deb.debian.org/debian buster/main i386 libdevmapper1.02.1 i386 2:1.02.155-3 [139 kB] Get: 6 http://deb.debian.org/debian buster/main i386 libjson-c3 i386 0.12.1+ds-2 [28.7 kB] Get: 7 http://deb.debian.org/debian buster/main i386 libssl1.1 i386 1.1.1d-0+deb10u3 [1537 kB] Get: 8 http://deb.debian.org/debian buster/main i386 libcryptsetup12 i386 2:2.1.0-5+deb10u2 [211 kB] Get: 9 http://deb.debian.org/debian buster/main i386 libidn11 i386 1.33-2.2 [116 kB] Get: 10 http://deb.debian.org/debian buster/main i386 libip4tc0 i386 1.8.2-4 [70.9 kB] Get: 11 http://deb.debian.org/debian buster/main i386 libkmod2 i386 26-1 [58.8 kB] Get: 12 http://deb.debian.org/debian buster/main i386 systemd i386 241-7~deb10u4 [3627 kB] Get: 13 http://deb.debian.org/debian buster/main i386 systemd-sysv i386 241-7~deb10u4 [99.9 kB] Get: 14 http://deb.debian.org/debian buster/main i386 libbsd0 i386 0.9.1-2 [104 kB] Get: 15 http://deb.debian.org/debian buster/main i386 bsdmainutils i386 11.1.2+b1 [193 kB] Get: 16 http://deb.debian.org/debian buster/main i386 libuchardet0 i386 0.0.6-3 [65.2 kB] Get: 17 http://deb.debian.org/debian buster/main i386 groff-base i386 1.22.4-3 [935 kB] Get: 18 http://deb.debian.org/debian buster/main i386 libpipeline1 i386 1.5.1-2 [33.3 kB] Get: 19 http://deb.debian.org/debian buster/main i386 man-db i386 2.8.5-2 [1284 kB] Get: 20 http://deb.debian.org/debian buster/main i386 libpython2.7-minimal i386 2.7.16-2+deb10u1 [395 kB] Get: 21 http://deb.debian.org/debian buster/main i386 python2.7-minimal i386 2.7.16-2+deb10u1 [1381 kB] Get: 22 http://deb.debian.org/debian buster/main i386 python2-minimal i386 2.7.16-1 [41.4 kB] Get: 23 http://deb.debian.org/debian buster/main i386 python-minimal i386 2.7.16-1 [21.0 kB] Get: 24 http://deb.debian.org/debian buster/main i386 mime-support all 3.62 [37.2 kB] Get: 25 http://deb.debian.org/debian buster/main i386 libexpat1 i386 2.2.6-2+deb10u1 [104 kB] Get: 26 http://deb.debian.org/debian buster/main i386 readline-common all 7.0-5 [70.6 kB] Get: 27 http://deb.debian.org/debian buster/main i386 libreadline7 i386 7.0-5 [156 kB] Get: 28 http://deb.debian.org/debian buster/main i386 libpython2.7-stdlib i386 2.7.16-2+deb10u1 [1934 kB] Get: 29 http://deb.debian.org/debian buster/main i386 python2.7 i386 2.7.16-2+deb10u1 [305 kB] Get: 30 http://deb.debian.org/debian buster/main i386 libpython2-stdlib i386 2.7.16-1 [20.8 kB] Get: 31 http://deb.debian.org/debian buster/main i386 libpython-stdlib i386 2.7.16-1 [20.8 kB] Get: 32 http://deb.debian.org/debian buster/main i386 python2 i386 2.7.16-1 [41.6 kB] Get: 33 http://deb.debian.org/debian buster/main i386 python i386 2.7.16-1 [22.8 kB] Get: 34 http://deb.debian.org/debian buster/main i386 poppler-data all 0.4.9-2 [1473 kB] Get: 35 http://deb.debian.org/debian buster/main i386 libpython3.7-minimal i386 3.7.3-2+deb10u1 [590 kB] Get: 36 http://deb.debian.org/debian buster/main i386 python3.7-minimal i386 3.7.3-2+deb10u1 [1745 kB] Get: 37 http://deb.debian.org/debian buster/main i386 python3-minimal i386 3.7.3-1 [36.6 kB] Get: 38 http://deb.debian.org/debian buster/main i386 libmpdec2 i386 2.4.2-2 [83.2 kB] Get: 39 http://deb.debian.org/debian buster/main i386 libpython3.7-stdlib i386 3.7.3-2+deb10u1 [1750 kB] Get: 40 http://deb.debian.org/debian buster/main i386 python3.7 i386 3.7.3-2+deb10u1 [330 kB] Get: 41 http://deb.debian.org/debian buster/main i386 libpython3-stdlib i386 3.7.3-1 [20.0 kB] Get: 42 http://deb.debian.org/debian buster/main i386 python3 i386 3.7.3-1 [61.5 kB] Get: 43 http://deb.debian.org/debian buster/main i386 sensible-utils all 0.0.12 [15.8 kB] Get: 44 http://deb.debian.org/debian buster/main i386 ucf all 3.0038+nmu1 [69.0 kB] Get: 45 http://deb.debian.org/debian buster/main i386 tex-common all 6.11 [53.1 kB] Get: 46 http://deb.debian.org/debian buster/main i386 libncurses6 i386 6.1+20181013-2+deb10u2 [109 kB] Get: 47 http://deb.debian.org/debian buster/main i386 libprocps7 i386 2:3.3.15-2 [62.7 kB] Get: 48 http://deb.debian.org/debian buster/main i386 lsb-base all 10.2019051400 [28.4 kB] Get: 49 http://deb.debian.org/debian buster/main i386 procps i386 2:3.3.15-2 [259 kB] Get: 50 http://deb.debian.org/debian buster/main i386 bash-completion all 1:2.8-6 [208 kB] Get: 51 http://deb.debian.org/debian buster/main i386 libdbus-1-3 i386 1.12.16-1 [226 kB] Get: 52 http://deb.debian.org/debian buster/main i386 dbus i386 1.12.16-1 [246 kB] Get: 53 http://deb.debian.org/debian buster/main i386 libmagic-mgc i386 1:5.35-4+deb10u1 [242 kB] Get: 54 http://deb.debian.org/debian buster/main i386 libmagic1 i386 1:5.35-4+deb10u1 [124 kB] Get: 55 http://deb.debian.org/debian buster/main i386 file i386 1:5.35-4+deb10u1 [66.3 kB] Get: 56 http://deb.debian.org/debian buster/main i386 gettext-base i386 0.19.8.1-9 [124 kB] Get: 57 http://deb.debian.org/debian buster/main i386 libpam-systemd i386 241-7~deb10u4 [214 kB] Get: 58 http://deb.debian.org/debian buster/main i386 hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 59 http://deb.debian.org/debian buster/main i386 libglib2.0-0 i386 2.58.3-2+deb10u2 [1334 kB] Get: 60 http://deb.debian.org/debian buster/main i386 libjpeg62-turbo i386 1:1.5.2-2+b1 [142 kB] Get: 61 http://deb.debian.org/debian buster/main i386 libpng16-16 i386 1.6.36-6 [301 kB] Get: 62 http://deb.debian.org/debian buster/main i386 libjbig0 i386 2.1-3.1+b2 [31.5 kB] Get: 63 http://deb.debian.org/debian buster/main i386 libwebp6 i386 0.6.1-2 [275 kB] Get: 64 http://deb.debian.org/debian buster/main i386 libtiff5 i386 4.1.0+git191117-2~deb10u1 [284 kB] Get: 65 http://deb.debian.org/debian buster/main i386 libxau6 i386 1:1.0.8-1+b2 [20.3 kB] Get: 66 http://deb.debian.org/debian buster/main i386 libxdmcp6 i386 1:1.1.2-3 [26.7 kB] Get: 67 http://deb.debian.org/debian buster/main i386 libxcb1 i386 1.13.1-2 [141 kB] Get: 68 http://deb.debian.org/debian buster/main i386 libx11-data all 2:1.6.7-1 [298 kB] Get: 69 http://deb.debian.org/debian buster/main i386 libx11-6 i386 2:1.6.7-1 [778 kB] Get: 70 http://deb.debian.org/debian buster/main i386 libicu63 i386 63.1-6+deb10u1 [8451 kB] Get: 71 http://deb.debian.org/debian buster/main i386 libxml2 i386 2.9.4+dfsg1-7+b3 [721 kB] Get: 72 http://deb.debian.org/debian buster/main i386 shared-mime-info i386 1.10-1 [766 kB] Get: 73 http://deb.debian.org/debian buster/main i386 libgdk-pixbuf2.0-common all 2.38.1+dfsg-1 [316 kB] Get: 74 http://deb.debian.org/debian buster/main i386 libgdk-pixbuf2.0-0 i386 2.38.1+dfsg-1 [187 kB] Get: 75 http://deb.debian.org/debian buster/main i386 gtk-update-icon-cache i386 3.24.5-1 [82.2 kB] Get: 76 http://deb.debian.org/debian buster/main i386 libfreetype6 i386 2.9.1-3+deb10u1 [395 kB] Get: 77 http://deb.debian.org/debian buster/main i386 fonts-dejavu-core all 2.37-1 [1068 kB] Get: 78 http://deb.debian.org/debian buster/main i386 ttf-bitstream-vera all 1.10-8 [352 kB] Get: 79 http://deb.debian.org/debian buster/main i386 fontconfig-config all 2.13.1-2 [280 kB] Get: 80 http://deb.debian.org/debian buster/main i386 libfontconfig1 i386 2.13.1-2 [357 kB] Get: 81 http://deb.debian.org/debian buster/main i386 libpixman-1-0 i386 0.36.0-1 [541 kB] Get: 82 http://deb.debian.org/debian buster/main i386 libxcb-render0 i386 1.13.1-2 [110 kB] Get: 83 http://deb.debian.org/debian buster/main i386 libxcb-shm0 i386 1.13.1-2 [99.4 kB] Get: 84 http://deb.debian.org/debian buster/main i386 libxext6 i386 2:1.3.3-1+b2 [55.2 kB] Get: 85 http://deb.debian.org/debian buster/main i386 libxrender1 i386 1:0.9.10-1 [34.1 kB] Get: 86 http://deb.debian.org/debian buster/main i386 libcairo2 i386 1.16.0-4 [744 kB] Get: 87 http://deb.debian.org/debian buster/main i386 libcroco3 i386 0.6.12-3 [151 kB] Get: 88 http://deb.debian.org/debian buster/main i386 fontconfig i386 2.13.1-2 [405 kB] Get: 89 http://deb.debian.org/debian buster/main i386 libfribidi0 i386 1.0.5-3.1+deb10u1 [64.3 kB] Get: 90 http://deb.debian.org/debian buster/main i386 libthai-data all 0.1.28-2 [170 kB] Get: 91 http://deb.debian.org/debian buster/main i386 libdatrie1 i386 0.2.12-2 [40.7 kB] Get: 92 http://deb.debian.org/debian buster/main i386 libthai0 i386 0.1.28-2 [55.2 kB] Get: 93 http://deb.debian.org/debian buster/main i386 libpango-1.0-0 i386 1.42.4-8~deb10u1 [192 kB] Get: 94 http://deb.debian.org/debian buster/main i386 libgraphite2-3 i386 1.3.13-7 [84.0 kB] Get: 95 http://deb.debian.org/debian buster/main i386 libharfbuzz0b i386 2.3.1-1 [1209 kB] Get: 96 http://deb.debian.org/debian buster/main i386 libpangoft2-1.0-0 i386 1.42.4-8~deb10u1 [71.3 kB] Get: 97 http://deb.debian.org/debian buster/main i386 libpangocairo-1.0-0 i386 1.42.4-8~deb10u1 [57.5 kB] Get: 98 http://deb.debian.org/debian buster/main i386 librsvg2-2 i386 2.44.10-2.1 [1357 kB] Get: 99 http://deb.debian.org/debian buster/main i386 librsvg2-common i386 2.44.10-2.1 [23.4 kB] Get: 100 http://deb.debian.org/debian buster/main i386 adwaita-icon-theme all 3.30.1-1 [11.7 MB] Get: 101 http://deb.debian.org/debian buster/main i386 libsigsegv2 i386 2.12-2 [33.2 kB] Get: 102 http://deb.debian.org/debian buster/main i386 m4 i386 1.4.18-2 [205 kB] Get: 103 http://deb.debian.org/debian buster/main i386 autoconf all 2.69-11 [341 kB] Get: 104 http://deb.debian.org/debian buster/main i386 autotools-dev all 20180224.1 [77.0 kB] Get: 105 http://deb.debian.org/debian buster/main i386 automake all 1:1.16.1-4 [771 kB] Get: 106 http://deb.debian.org/debian buster/main i386 autopoint all 0.19.8.1-9 [434 kB] Get: 107 http://deb.debian.org/debian buster/main i386 bc i386 1.07.1-2+b1 [111 kB] Get: 108 http://deb.debian.org/debian buster/main i386 libpaper1 i386 1.1.28 [21.4 kB] Get: 109 http://deb.debian.org/debian buster/main i386 libpaper-utils i386 1.1.28 [18.3 kB] Get: 110 http://deb.debian.org/debian buster/main i386 libkpathsea6 i386 2018.20181218.49446-1 [171 kB] Get: 111 http://deb.debian.org/debian buster/main i386 libptexenc1 i386 2018.20181218.49446-1 [61.6 kB] Get: 112 http://deb.debian.org/debian buster/main i386 libsynctex2 i386 2018.20181218.49446-1 [83.5 kB] Get: 113 http://deb.debian.org/debian buster/main i386 libtexlua52 i386 2018.20181218.49446-1 [121 kB] Get: 114 http://deb.debian.org/debian buster/main i386 libtexlua53 i386 2018.20181218.49446-1 [141 kB] Get: 115 http://deb.debian.org/debian buster/main i386 libtexluajit2 i386 2018.20181218.49446-1 [270 kB] Get: 116 http://deb.debian.org/debian buster/main i386 t1utils i386 1.41-3 [62.2 kB] Get: 117 http://deb.debian.org/debian buster/main i386 libbrotli1 i386 1.0.7-2 [267 kB] Get: 118 http://deb.debian.org/debian buster/main i386 libgs9-common all 9.27~dfsg-2+deb10u3 [5136 kB] Get: 119 http://deb.debian.org/debian buster/main i386 libavahi-common-data i386 0.7-4+b1 [122 kB] Get: 120 http://deb.debian.org/debian buster/main i386 libavahi-common3 i386 0.7-4+b1 [56.2 kB] Get: 121 http://deb.debian.org/debian buster/main i386 libavahi-client3 i386 0.7-4+b1 [60.1 kB] Get: 122 http://deb.debian.org/debian buster/main i386 libkeyutils1 i386 1.6-6 [15.4 kB] Get: 123 http://deb.debian.org/debian buster/main i386 libkrb5support0 i386 1.17-3 [68.6 kB] Get: 124 http://deb.debian.org/debian buster/main i386 libk5crypto3 i386 1.17-3 [126 kB] Get: 125 http://deb.debian.org/debian buster/main i386 libkrb5-3 i386 1.17-3 [396 kB] Get: 126 http://deb.debian.org/debian buster/main i386 libgssapi-krb5-2 i386 1.17-3 [168 kB] Get: 127 http://deb.debian.org/debian buster/main i386 libcups2 i386 2.2.10-6+deb10u3 [338 kB] Get: 128 http://deb.debian.org/debian buster/main i386 libcupsimage2 i386 2.2.10-6+deb10u3 [133 kB] Get: 129 http://deb.debian.org/debian buster/main i386 libijs-0.35 i386 0.35-14 [18.9 kB] Get: 130 http://deb.debian.org/debian buster/main i386 libjbig2dec0 i386 0.16-1 [64.6 kB] Get: 131 http://deb.debian.org/debian buster/main i386 liblcms2-2 i386 2.9-3 [156 kB] Get: 132 http://deb.debian.org/debian buster/main i386 libopenjp2-7 i386 2.3.0-2+deb10u1 [164 kB] Get: 133 http://deb.debian.org/debian buster/main i386 libgs9 i386 9.27~dfsg-2+deb10u3 [2300 kB] Get: 134 http://deb.debian.org/debian buster/main i386 libharfbuzz-icu0 i386 2.3.1-1 [834 kB] Get: 135 http://deb.debian.org/debian buster/main i386 x11-common all 1:7.7+19 [251 kB] Get: 136 http://deb.debian.org/debian buster/main i386 libice6 i386 2:1.0.9-2 [61.1 kB] Get: 137 http://deb.debian.org/debian buster/main i386 libpotrace0 i386 1.15-1 [25.6 kB] Get: 138 http://deb.debian.org/debian buster/main i386 libsm6 i386 2:1.2.3-1 [35.7 kB] Get: 139 http://deb.debian.org/debian buster/main i386 libteckit0 i386 2.5.8+ds2-5 [268 kB] Get: 140 http://deb.debian.org/debian buster/main i386 libwoff1 i386 1.0.2-1 [46.0 kB] Get: 141 http://deb.debian.org/debian buster/main i386 libxt6 i386 1:1.1.5-1+b3 [195 kB] Get: 142 http://deb.debian.org/debian buster/main i386 libxmu6 i386 2:1.1.2-2+b3 [62.8 kB] Get: 143 http://deb.debian.org/debian buster/main i386 libxpm4 i386 1:3.5.12-1 [50.9 kB] Get: 144 http://deb.debian.org/debian buster/main i386 libxaw7 i386 2:1.0.13-1+b2 [209 kB] Get: 145 http://deb.debian.org/debian buster/main i386 libxi6 i386 2:1.7.9-1 [85.2 kB] Get: 146 http://deb.debian.org/debian buster/main i386 libxxhash0 i386 0.6.5-2 [8788 B] Get: 147 http://deb.debian.org/debian buster/main i386 libzzip-0-13 i386 0.13.62-3.2 [57.3 kB] Get: 148 http://deb.debian.org/debian buster/main i386 texlive-binaries i386 2018.20181218.49446-1 [11.2 MB] Get: 149 http://deb.debian.org/debian buster/main i386 xdg-utils all 1.1.3-1+deb10u1 [73.7 kB] Get: 150 http://deb.debian.org/debian buster/main i386 texlive-base all 2018.20190227-2 [19.7 MB] Get: 151 http://deb.debian.org/debian buster/main i386 fonts-lmodern all 2.004.5-6 [4539 kB] Get: 152 http://deb.debian.org/debian buster/main i386 texlive-latex-base all 2018.20190227-2 [984 kB] Get: 153 http://deb.debian.org/debian buster/main i386 texlive-latex-recommended all 2018.20190227-2 [15.2 MB] Get: 154 http://deb.debian.org/debian buster/main i386 cm-super-minimal all 0.3.4-14 [5814 kB] Get: 155 http://deb.debian.org/debian buster/main i386 cmake-data all 3.13.4-1 [1476 kB] Get: 156 http://deb.debian.org/debian buster/main i386 libarchive13 i386 3.3.3-4+deb10u1 [351 kB] Get: 157 http://deb.debian.org/debian buster/main i386 libsasl2-modules-db i386 2.1.27+dfsg-1+deb10u1 [70.1 kB] Get: 158 http://deb.debian.org/debian buster/main i386 libsasl2-2 i386 2.1.27+dfsg-1+deb10u1 [110 kB] Get: 159 http://deb.debian.org/debian buster/main i386 libldap-common all 2.4.47+dfsg-3+deb10u2 [89.7 kB] Get: 160 http://deb.debian.org/debian buster/main i386 libldap-2.4-2 i386 2.4.47+dfsg-3+deb10u2 [236 kB] Get: 161 http://deb.debian.org/debian buster/main i386 libnghttp2-14 i386 1.36.0-2+deb10u1 [90.3 kB] Get: 162 http://deb.debian.org/debian buster/main i386 libpsl5 i386 0.20.2-2 [54.4 kB] Get: 163 http://deb.debian.org/debian buster/main i386 librtmp1 i386 2.4+20151223.gitfa8646d.1-2 [64.2 kB] Get: 164 http://deb.debian.org/debian buster/main i386 libssh2-1 i386 1.8.0-2.1 [147 kB] Get: 165 http://deb.debian.org/debian buster/main i386 libcurl4 i386 7.64.0-4+deb10u1 [358 kB] Get: 166 http://deb.debian.org/debian buster/main i386 libjsoncpp1 i386 1.7.4-3 [85.0 kB] Get: 167 http://deb.debian.org/debian buster/main i386 librhash0 i386 1.3.8-1 [135 kB] Get: 168 http://deb.debian.org/debian buster/main i386 libuv1 i386 1.24.1-1 [116 kB] Get: 169 http://deb.debian.org/debian buster/main i386 cmake i386 3.13.4-1 [3747 kB] Get: 170 http://deb.debian.org/debian buster/main i386 cython3 i386 0.29.2-2 [1297 kB] Get: 171 http://deb.debian.org/debian buster/main i386 dbus-user-session i386 1.12.16-1 [93.4 kB] Get: 172 http://deb.debian.org/debian buster/main i386 libdconf1 i386 0.30.1-2 [42.3 kB] Get: 173 http://deb.debian.org/debian buster/main i386 dconf-service i386 0.30.1-2 [38.8 kB] Get: 174 http://deb.debian.org/debian buster/main i386 dconf-gsettings-backend i386 0.30.1-2 [30.6 kB] Get: 175 http://deb.debian.org/debian buster/main i386 libtool all 2.4.6-9 [547 kB] Get: 176 http://deb.debian.org/debian buster/main i386 dh-autoreconf all 19 [16.9 kB] Get: 177 http://deb.debian.org/debian buster/main i386 libarchive-zip-perl all 1.64-1 [96.8 kB] Get: 178 http://deb.debian.org/debian buster/main i386 libfile-stripnondeterminism-perl all 1.1.2-1 [19.8 kB] Get: 179 http://deb.debian.org/debian buster/main i386 dh-strip-nondeterminism all 1.1.2-1 [13.0 kB] Get: 180 http://deb.debian.org/debian buster/main i386 libelf1 i386 0.176-1.1 [166 kB] Get: 181 http://deb.debian.org/debian buster/main i386 dwz i386 0.12-3 [81.4 kB] Get: 182 http://deb.debian.org/debian buster/main i386 gettext i386 0.19.8.1-9 [1314 kB] Get: 183 http://deb.debian.org/debian buster/main i386 intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 184 http://deb.debian.org/debian buster/main i386 po-debconf all 1.0.21 [248 kB] Get: 185 http://deb.debian.org/debian buster/main i386 debhelper all 12.1.1 [1016 kB] Get: 186 http://deb.debian.org/debian buster/main i386 python3-lib2to3 all 3.7.3-1 [76.7 kB] Get: 187 http://deb.debian.org/debian buster/main i386 python3-distutils all 3.7.3-1 [142 kB] Get: 188 http://deb.debian.org/debian buster/main i386 dh-python all 3.20190308 [99.3 kB] Get: 189 http://deb.debian.org/debian buster/main i386 libedit2 i386 3.1-20181209-1 [98.2 kB] Get: 190 http://deb.debian.org/debian buster/main i386 libllvm6.0 i386 1:6.0.1-10 [16.4 MB] Get: 191 http://deb.debian.org/debian buster/main i386 libclang1-6.0 i386 1:6.0.1-10 [7959 kB] Get: 192 http://deb.debian.org/debian buster/main i386 doxygen i386 1.8.13-10 [4004 kB] Get: 193 http://deb.debian.org/debian buster/main i386 libsombok3 i386 2.4.0-2 [32.9 kB] Get: 194 http://deb.debian.org/debian buster/main i386 libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 195 http://deb.debian.org/debian buster/main i386 libunicode-linebreak-perl i386 0.0.20190101-1 [107 kB] Get: 196 http://deb.debian.org/debian buster/main i386 texlive-extra-utils all 2018.20190227-2 [39.4 MB] Get: 197 http://deb.debian.org/debian buster/main i386 preview-latex-style all 11.91-2 [201 kB] Get: 198 http://deb.debian.org/debian buster/main i386 texlive-pictures all 2018.20190227-2 [8201 kB] Get: 199 http://deb.debian.org/debian buster/main i386 texlive-latex-extra all 2018.20190227-2 [12.3 MB] Get: 200 http://deb.debian.org/debian buster/main i386 texlive-font-utils all 2018.20190227-2 [1746 kB] Get: 201 http://deb.debian.org/debian buster/main i386 ghostscript i386 9.27~dfsg-2+deb10u3 [94.9 kB] Get: 202 http://deb.debian.org/debian buster/main i386 texlive-fonts-recommended all 2018.20190227-2 [5228 kB] Get: 203 http://deb.debian.org/debian buster/main i386 doxygen-latex all 1.8.13-10 [113 kB] Get: 204 http://deb.debian.org/debian buster/main i386 fonts-lyx all 2.3.2-1 [199 kB] Get: 205 http://deb.debian.org/debian buster/main i386 gdal-data all 2.4.0+dfsg-1 [744 kB] Get: 206 http://deb.debian.org/debian buster/main i386 libcurl3-gnutls i386 7.64.0-4+deb10u1 [355 kB] Get: 207 http://deb.debian.org/debian buster/main i386 libpcre2-8-0 i386 10.32-5 [214 kB] Get: 208 http://deb.debian.org/debian buster/main i386 liberror-perl all 0.17027-2 [30.9 kB] Get: 209 http://deb.debian.org/debian buster/main i386 git-man all 1:2.20.1-2+deb10u3 [1620 kB] Get: 210 http://deb.debian.org/debian buster/main i386 git i386 1:2.20.1-2+deb10u3 [5902 kB] Get: 211 http://deb.debian.org/debian buster/main i386 libproxy1v5 i386 0.4.15-5 [63.2 kB] Get: 212 http://deb.debian.org/debian buster/main i386 glib-networking-common all 2.58.0-2 [59.3 kB] Get: 213 http://deb.debian.org/debian buster/main i386 glib-networking-services i386 2.58.0-2 [13.9 kB] Get: 214 http://deb.debian.org/debian buster/main i386 gsettings-desktop-schemas all 3.28.1-1 [529 kB] Get: 215 http://deb.debian.org/debian buster/main i386 glib-networking i386 2.58.0-2 [59.5 kB] Get: 216 http://deb.debian.org/debian buster/main i386 libcdt5 i386 2.40.1-6 [61.0 kB] Get: 217 http://deb.debian.org/debian buster/main i386 libcgraph6 i386 2.40.1-6 [88.1 kB] Get: 218 http://deb.debian.org/debian buster/main i386 libgd3 i386 2.2.5-5.2 [141 kB] Get: 219 http://deb.debian.org/debian buster/main i386 libgts-0.7-5 i386 0.7.6+darcs121130-4 [161 kB] Get: 220 http://deb.debian.org/debian buster/main i386 libltdl7 i386 2.4.6-9 [392 kB] Get: 221 http://deb.debian.org/debian buster/main i386 libpathplan4 i386 2.40.1-6 [64.0 kB] Get: 222 http://deb.debian.org/debian buster/main i386 libxdot4 i386 2.40.1-6 [57.9 kB] Get: 223 http://deb.debian.org/debian buster/main i386 libgvc6 i386 2.40.1-6 [676 kB] Get: 224 http://deb.debian.org/debian buster/main i386 libgvpr2 i386 2.40.1-6 [223 kB] Get: 225 http://deb.debian.org/debian buster/main i386 liblab-gamut1 i386 2.40.1-6 [220 kB] Get: 226 http://deb.debian.org/debian buster/main i386 graphviz i386 2.40.1-6 [595 kB] Get: 227 http://deb.debian.org/debian buster/main i386 hdf5-helpers i386 1.10.4+repack-10 [35.2 kB] Get: 228 http://deb.debian.org/debian buster/main i386 python3-decorator all 4.3.0-1.1 [14.5 kB] Get: 229 http://deb.debian.org/debian buster/main i386 python3-ptyprocess all 0.6.0-1 [13.2 kB] Get: 230 http://deb.debian.org/debian buster/main i386 python3-pexpect all 4.6.0-1 [52.4 kB] Get: 231 http://deb.debian.org/debian buster/main i386 python3-pickleshare all 0.7.5-1 [7348 B] Get: 232 http://deb.debian.org/debian buster/main i386 python3-pkg-resources all 40.8.0-1 [153 kB] Get: 233 http://deb.debian.org/debian buster/main i386 python3-six all 1.12.0-1 [15.7 kB] Get: 234 http://deb.debian.org/debian buster/main i386 python3-wcwidth all 0.1.7+dfsg1-3 [15.0 kB] Get: 235 http://deb.debian.org/debian buster/main i386 python3-prompt-toolkit all 1.0.15-1 [179 kB] Get: 236 http://deb.debian.org/debian buster/main i386 python3-pygments all 2.3.1+dfsg-1 [594 kB] Get: 237 http://deb.debian.org/debian buster/main i386 python3-simplegeneric all 0.8.1-2 [11.1 kB] Get: 238 http://deb.debian.org/debian buster/main i386 python3-ipython-genutils all 0.2.0-1 [20.9 kB] Get: 239 http://deb.debian.org/debian buster/main i386 python3-traitlets all 4.3.2-1 [60.7 kB] Get: 240 http://deb.debian.org/debian buster/main i386 python3-ipython all 5.8.0-1 [390 kB] Get: 241 http://deb.debian.org/debian buster/main i386 ipython3 all 5.8.0-1 [14.1 kB] Get: 242 http://deb.debian.org/debian buster/main i386 libaec0 i386 1.0.2-1 [22.6 kB] Get: 243 http://deb.debian.org/debian buster/main i386 libsz2 i386 1.0.2-1 [6720 B] Get: 244 http://deb.debian.org/debian buster/main i386 libaec-dev i386 1.0.2-1 [21.4 kB] Get: 245 http://deb.debian.org/debian buster/main i386 libaom0 i386 1.0.0-3 [855 kB] Get: 246 http://deb.debian.org/debian buster/main i386 libgfortran5 i386 8.3.0-6 [549 kB] Get: 247 http://deb.debian.org/debian buster/main i386 libblas3 i386 3.8.0-2 [142 kB] Get: 248 http://deb.debian.org/debian buster/main i386 liblapack3 i386 3.8.0-2 [1974 kB] Get: 249 http://deb.debian.org/debian buster/main i386 libarpack2 i386 3.7.0-2 [103 kB] Get: 250 http://deb.debian.org/debian buster/main i386 libsuperlu5 i386 5.2.1+dfsg1-4 [160 kB] Get: 251 http://deb.debian.org/debian buster/main i386 libarmadillo9 i386 1:9.200.7+dfsg-1 [90.5 kB] Get: 252 http://deb.debian.org/debian buster/main i386 libatk1.0-data all 2.30.0-2 [145 kB] Get: 253 http://deb.debian.org/debian buster/main i386 libatk1.0-0 i386 2.30.0-2 [50.3 kB] Get: 254 http://deb.debian.org/debian buster/main i386 libatspi2.0-0 i386 2.30.0-7 [68.3 kB] Get: 255 http://deb.debian.org/debian buster/main i386 libatk-bridge2.0-0 i386 2.30.0-5 [66.2 kB] Get: 256 http://deb.debian.org/debian buster/main i386 libdrm-common all 2.4.97-1 [13.8 kB] Get: 257 http://deb.debian.org/debian buster/main i386 libdrm2 i386 2.4.97-1 [42.5 kB] Get: 258 http://deb.debian.org/debian buster/main i386 libva2 i386 2.4.0-1 [60.6 kB] Get: 259 http://deb.debian.org/debian buster/main i386 libva-drm2 i386 2.4.0-1 [16.8 kB] Get: 260 http://deb.debian.org/debian buster/main i386 libxfixes3 i386 1:5.0.3-1 [22.4 kB] Get: 261 http://deb.debian.org/debian buster/main i386 libva-x11-2 i386 2.4.0-1 [21.9 kB] Get: 262 http://deb.debian.org/debian buster/main i386 libvdpau1 i386 1.1.1-10 [40.8 kB] Get: 263 http://deb.debian.org/debian buster/main i386 libavutil56 i386 7:4.1.4-1~deb10u1 [244 kB] Get: 264 http://deb.debian.org/debian buster/main i386 libcodec2-0.8.1 i386 0.8.1-2 [233 kB] Get: 265 http://deb.debian.org/debian buster/main i386 libcrystalhd3 i386 1:0.0~git20110715.fdd2f19-13 [50.2 kB] Get: 266 http://deb.debian.org/debian buster/main i386 libgsm1 i386 1.0.18-2 [29.5 kB] Get: 267 http://deb.debian.org/debian buster/main i386 libmp3lame0 i386 3.100-2+b1 [366 kB] Get: 268 http://deb.debian.org/debian buster/main i386 libopus0 i386 1.3-1 [191 kB] Get: 269 http://deb.debian.org/debian buster/main i386 libshine3 i386 3.1.1-2 [22.9 kB] Get: 270 http://deb.debian.org/debian buster/main i386 libsnappy1v5 i386 1.1.7-1 [18.0 kB] Get: 271 http://deb.debian.org/debian buster/main i386 libspeex1 i386 1.2~rc1.2-1+b2 [99.2 kB] Get: 272 http://deb.debian.org/debian buster/main i386 libsoxr0 i386 0.1.2-3 [69.1 kB] Get: 273 http://deb.debian.org/debian buster/main i386 libswresample3 i386 7:4.1.4-1~deb10u1 [101 kB] Get: 274 http://deb.debian.org/debian buster/main i386 libogg0 i386 1.3.2-1+b1 [19.4 kB] Get: 275 http://deb.debian.org/debian buster/main i386 libtheora0 i386 1.1.1+dfsg.1-15 [166 kB] Get: 276 http://deb.debian.org/debian buster/main i386 libtwolame0 i386 0.3.13-4 [48.8 kB] Get: 277 http://deb.debian.org/debian buster/main i386 libvorbis0a i386 1.3.6-2 [93.3 kB] Get: 278 http://deb.debian.org/debian buster/main i386 libvorbisenc2 i386 1.3.6-2 [74.0 kB] Get: 279 http://deb.debian.org/debian buster/main i386 libvpx5 i386 1.7.0-3+deb10u1 [746 kB] Get: 280 http://deb.debian.org/debian buster/main i386 libwavpack1 i386 5.1.0-6 [91.6 kB] Get: 281 http://deb.debian.org/debian buster/main i386 libwebpmux3 i386 0.6.1-2 [99.1 kB] Get: 282 http://deb.debian.org/debian buster/main i386 libx264-155 i386 2:0.155.2917+git0a84d98-2 [917 kB] Get: 283 http://deb.debian.org/debian buster/main i386 libnuma1 i386 2.0.12-1 [27.7 kB] Get: 284 http://deb.debian.org/debian buster/main i386 libx265-165 i386 2.9-4 [617 kB] Get: 285 http://deb.debian.org/debian buster/main i386 libxvidcore4 i386 2:1.3.5-1 [239 kB] Get: 286 http://deb.debian.org/debian buster/main i386 libzvbi-common all 0.2.35-16 [64.3 kB] Get: 287 http://deb.debian.org/debian buster/main i386 libzvbi0 i386 0.2.35-16 [274 kB] Get: 288 http://deb.debian.org/debian buster/main i386 libavcodec58 i386 7:4.1.4-1~deb10u1 [4754 kB] Get: 289 http://deb.debian.org/debian buster/main i386 libavutil-dev i386 7:4.1.4-1~deb10u1 [367 kB] Get: 290 http://deb.debian.org/debian buster/main i386 libswresample-dev i386 7:4.1.4-1~deb10u1 [115 kB] Get: 291 http://deb.debian.org/debian buster/main i386 libavcodec-dev i386 7:4.1.4-1~deb10u1 [5346 kB] Get: 292 http://deb.debian.org/debian buster/main i386 libbluray2 i386 1:1.1.0-1 [159 kB] Get: 293 http://deb.debian.org/debian buster/main i386 libchromaprint1 i386 1.4.3-3 [44.7 kB] Get: 294 http://deb.debian.org/debian buster/main i386 libgme0 i386 0.6.2-1 [126 kB] Get: 295 http://deb.debian.org/debian buster/main i386 libmpg123-0 i386 1.25.10-2 [144 kB] Get: 296 http://deb.debian.org/debian buster/main i386 libvorbisfile3 i386 1.3.6-2 [28.0 kB] Get: 297 http://deb.debian.org/debian buster/main i386 libopenmpt0 i386 0.4.3-1 [675 kB] Get: 298 http://deb.debian.org/debian buster/main i386 libssh-gcrypt-4 i386 0.8.7-1+deb10u1 [219 kB] Get: 299 http://deb.debian.org/debian buster/main i386 libavformat58 i386 7:4.1.4-1~deb10u1 [1135 kB] Get: 300 http://deb.debian.org/debian buster/main i386 libavformat-dev i386 7:4.1.4-1~deb10u1 [1364 kB] Get: 301 http://deb.debian.org/debian buster/main i386 libavresample4 i386 7:4.1.4-1~deb10u1 [95.6 kB] Get: 302 http://deb.debian.org/debian buster/main i386 libavresample-dev i386 7:4.1.4-1~deb10u1 [106 kB] Get: 303 http://deb.debian.org/debian buster/main i386 libblas-dev i386 3.8.0-2 [150 kB] Get: 304 http://deb.debian.org/debian buster/main i386 libboost1.67-dev i386 1.67.0-13+deb10u1 [8388 kB] Get: 305 http://deb.debian.org/debian buster/main i386 libboost-atomic1.67.0 i386 1.67.0-13+deb10u1 [226 kB] Get: 306 http://deb.debian.org/debian buster/main i386 libboost-atomic1.67-dev i386 1.67.0-13+deb10u1 [225 kB] Get: 307 http://deb.debian.org/debian buster/main i386 libboost-chrono1.67.0 i386 1.67.0-13+deb10u1 [235 kB] Get: 308 http://deb.debian.org/debian buster/main i386 libboost-chrono1.67-dev i386 1.67.0-13+deb10u1 [238 kB] Get: 309 http://deb.debian.org/debian buster/main i386 libboost-date-time1.67.0 i386 1.67.0-13+deb10u1 [239 kB] Get: 310 http://deb.debian.org/debian buster/main i386 libboost-serialization1.67.0 i386 1.67.0-13+deb10u1 [325 kB] Get: 311 http://deb.debian.org/debian buster/main i386 libboost-serialization1.67-dev i386 1.67.0-13+deb10u1 [367 kB] Get: 312 http://deb.debian.org/debian buster/main i386 libboost-date-time1.67-dev i386 1.67.0-13+deb10u1 [248 kB] Get: 313 http://deb.debian.org/debian buster/main i386 libboost-dev i386 1.67.0.1 [3864 B] Get: 314 http://deb.debian.org/debian buster/main i386 libboost-filesystem1.67.0 i386 1.67.0-13+deb10u1 [265 kB] Get: 315 http://deb.debian.org/debian buster/main i386 libboost-system1.67-dev i386 1.67.0-13+deb10u1 [232 kB] Get: 316 http://deb.debian.org/debian buster/main i386 libboost-filesystem1.67-dev i386 1.67.0-13+deb10u1 [274 kB] Get: 317 http://deb.debian.org/debian buster/main i386 libboost-filesystem-dev i386 1.67.0.1 [3684 B] Get: 318 http://deb.debian.org/debian buster/main i386 libboost-python1.67.0 i386 1.67.0-13+deb10u1 [337 kB] Get: 319 http://deb.debian.org/debian buster/main i386 libpython2.7 i386 2.7.16-2+deb10u1 [1059 kB] Get: 320 http://deb.debian.org/debian buster/main i386 libexpat1-dev i386 2.2.6-2+deb10u1 [156 kB] Get: 321 http://deb.debian.org/debian buster/main i386 libpython2.7-dev i386 2.7.16-2+deb10u1 [31.4 MB] Get: 322 http://deb.debian.org/debian buster/main i386 libpython2-dev i386 2.7.16-1 [20.9 kB] Get: 323 http://deb.debian.org/debian buster/main i386 libpython-dev i386 2.7.16-1 [20.9 kB] Get: 324 http://deb.debian.org/debian buster/main i386 python2.7-dev i386 2.7.16-2+deb10u1 [295 kB] Get: 325 http://deb.debian.org/debian buster/main i386 python2-dev i386 2.7.16-1 [1208 B] Get: 326 http://deb.debian.org/debian buster/main i386 python-dev i386 2.7.16-1 [1184 B] Get: 327 http://deb.debian.org/debian buster/main i386 libpython3.7 i386 3.7.3-2+deb10u1 [1506 kB] Get: 328 http://deb.debian.org/debian buster/main i386 libpython3.7-dev i386 3.7.3-2+deb10u1 [47.7 MB] Get: 329 http://deb.debian.org/debian buster/main i386 libpython3-dev i386 3.7.3-1 [20.2 kB] Get: 330 http://deb.debian.org/debian buster/main i386 python3.7-dev i386 3.7.3-2+deb10u1 [509 kB] Get: 331 http://deb.debian.org/debian buster/main i386 python3-dev i386 3.7.3-1 [1260 B] Get: 332 http://deb.debian.org/debian buster/main i386 libboost-python1.67-dev i386 1.67.0-13+deb10u1 [347 kB] Get: 333 http://deb.debian.org/debian buster/main i386 libboost-python-dev i386 1.67.0.1 [3944 B] Get: 334 http://deb.debian.org/debian buster/main i386 libboost-system-dev i386 1.67.0.1 [3788 B] Get: 335 http://deb.debian.org/debian buster/main i386 libboost-thread1.67.0 i386 1.67.0-13+deb10u1 [270 kB] Get: 336 http://deb.debian.org/debian buster/main i386 libboost-thread1.67-dev i386 1.67.0-13+deb10u1 [273 kB] Get: 337 http://deb.debian.org/debian buster/main i386 libboost-thread-dev i386 1.67.0.1 [3672 B] Get: 338 http://deb.debian.org/debian buster/main i386 libcairo-gobject2 i386 1.16.0-4 [124 kB] Get: 339 http://deb.debian.org/debian buster/main i386 libcharls2 i386 2.0.0+dfsg-1 [66.9 kB] Get: 340 http://deb.debian.org/debian buster/main i386 libcolord2 i386 1.4.3-4 [148 kB] Get: 341 http://deb.debian.org/debian buster/main i386 libdap25 i386 3.20.3-1 [594 kB] Get: 342 http://deb.debian.org/debian buster/main i386 libdapclient6v5 i386 3.20.3-1 [212 kB] Get: 343 http://deb.debian.org/debian buster/main i386 libdapserver7v5 i386 3.20.3-1 [132 kB] Get: 344 http://deb.debian.org/debian buster/main i386 libraw1394-11 i386 2.1.2-1+b1 [51.0 kB] Get: 345 http://deb.debian.org/debian buster/main i386 libusb-1.0-0 i386 2:1.0.22-2 [58.7 kB] Get: 346 http://deb.debian.org/debian buster/main i386 libdc1394-22 i386 2.2.5-1 [113 kB] Get: 347 http://deb.debian.org/debian buster/main i386 libraw1394-dev i386 2.1.2-1+b1 [62.1 kB] Get: 348 http://deb.debian.org/debian buster/main i386 libdc1394-22-dev i386 2.2.5-1 [147 kB] Get: 349 http://deb.debian.org/debian buster/main i386 libdrm-amdgpu1 i386 2.4.97-1 [30.1 kB] Get: 350 http://deb.debian.org/debian buster/main i386 libpciaccess0 i386 0.14-1 [55.7 kB] Get: 351 http://deb.debian.org/debian buster/main i386 libdrm-intel1 i386 2.4.97-1 [72.9 kB] Get: 352 http://deb.debian.org/debian buster/main i386 libdrm-nouveau2 i386 2.4.97-1 [28.0 kB] Get: 353 http://deb.debian.org/debian buster/main i386 libdrm-radeon1 i386 2.4.97-1 [32.5 kB] Get: 354 http://deb.debian.org/debian buster/main i386 libepoxy0 i386 1.5.3-0.1 [197 kB] Get: 355 http://deb.debian.org/debian buster/main i386 libpopt0 i386 1.16-12 [51.7 kB] Get: 356 http://deb.debian.org/debian buster/main i386 libepsilon1 i386 0.9.2+dfsg-4 [42.3 kB] Get: 357 http://deb.debian.org/debian buster/main i386 libevent-2.1-6 i386 2.1.8-stable-4 [191 kB] Get: 358 http://deb.debian.org/debian buster/main i386 libevent-core-2.1-6 i386 2.1.8-stable-4 [137 kB] Get: 359 http://deb.debian.org/debian buster/main i386 libevent-pthreads-2.1-6 i386 2.1.8-stable-4 [48.1 kB] Get: 360 http://deb.debian.org/debian buster/main i386 libexif12 i386 0.6.21-5.1+deb10u1 [323 kB] Get: 361 http://deb.debian.org/debian buster/main i386 libexif-dev i386 0.6.21-5.1+deb10u1 [116 kB] Get: 362 http://deb.debian.org/debian buster/main i386 libnl-3-200 i386 3.4.0-1 [65.8 kB] Get: 363 http://deb.debian.org/debian buster/main i386 libnl-route-3-200 i386 3.4.0-1 [170 kB] Get: 364 http://deb.debian.org/debian buster/main i386 libibverbs1 i386 22.1-1 [53.9 kB] Get: 365 http://deb.debian.org/debian buster/main i386 libpsm-infinipath1 i386 3.3+20.604758e7-6 [178 kB] Get: 366 http://deb.debian.org/debian buster/main i386 librdmacm1 i386 22.1-1 [68.8 kB] Get: 367 http://deb.debian.org/debian buster/main i386 libfabric1 i386 1.6.2-3 [364 kB] Get: 368 http://deb.debian.org/debian buster/main i386 libfreexl1 i386 1.0.5-3 [35.2 kB] Get: 369 http://deb.debian.org/debian buster/main i386 libfyba0 i386 4.1.1-6 [125 kB] Get: 370 http://deb.debian.org/debian buster/main i386 libgeos-3.7.1 i386 3.7.1-1 [791 kB] Get: 371 http://deb.debian.org/debian buster/main i386 libgeos-c1v5 i386 3.7.1-1 [304 kB] Get: 372 http://deb.debian.org/debian buster/main i386 proj-data all 5.2.0-1 [6986 kB] Get: 373 http://deb.debian.org/debian buster/main i386 libproj13 i386 5.2.0-1 [234 kB] Get: 374 http://deb.debian.org/debian buster/main i386 libgeotiff2 i386 1.4.3-1 [71.5 kB] Get: 375 http://deb.debian.org/debian buster/main i386 libgif7 i386 5.1.4-3 [44.4 kB] Get: 376 http://deb.debian.org/debian buster/main i386 libhdf4-0-alt i386 4.2.13-4 [283 kB] Get: 377 http://deb.debian.org/debian buster/main i386 libhdf5-103 i386 1.10.4+repack-10 [1310 kB] Get: 378 http://deb.debian.org/debian buster/main i386 libminizip1 i386 1.1-8+b1 [24.3 kB] Get: 379 http://deb.debian.org/debian buster/main i386 liburiparser1 i386 0.9.1-1 [51.8 kB] Get: 380 http://deb.debian.org/debian buster/main i386 libkmlbase1 i386 1.3.0-7 [52.6 kB] Get: 381 http://deb.debian.org/debian buster/main i386 libkmldom1 i386 1.3.0-7 [196 kB] Get: 382 http://deb.debian.org/debian buster/main i386 libkmlengine1 i386 1.3.0-7 [85.4 kB] Get: 383 http://deb.debian.org/debian buster/main i386 libkmlconvenience1 i386 1.3.0-7 [54.2 kB] Get: 384 http://deb.debian.org/debian buster/main i386 libkmlregionator1 i386 1.3.0-7 [26.5 kB] Get: 385 http://deb.debian.org/debian buster/main i386 libkmlxsd1 i386 1.3.0-7 [36.7 kB] Get: 386 http://deb.debian.org/debian buster/main i386 mysql-common all 5.8+1.0.5 [7324 B] Get: 387 http://deb.debian.org/debian buster/main i386 mariadb-common all 1:10.3.22-0+deb10u1 [31.9 kB] Get: 388 http://deb.debian.org/debian buster/main i386 libmariadb3 i386 1:10.3.22-0+deb10u1 [169 kB] Get: 389 http://deb.debian.org/debian buster/main i386 libnetcdf13 i386 1:4.6.2-1 [440 kB] Get: 390 http://deb.debian.org/debian buster/main i386 libodbc1 i386 2.3.6-0.1 [236 kB] Get: 391 http://deb.debian.org/debian buster/main i386 libogdi3.2 i386 3.2.1+ds-4 [246 kB] Get: 392 http://deb.debian.org/debian buster/main i386 libnspr4 i386 2:4.20-1 [122 kB] Get: 393 http://deb.debian.org/debian buster/main i386 libnss3 i386 2:3.42.1-1+deb10u2 [1237 kB] Get: 394 http://deb.debian.org/debian buster/main i386 libpoppler82 i386 0.71.0-5 [1548 kB] Get: 395 http://deb.debian.org/debian buster/main i386 libpq5 i386 11.7-0+deb10u1 [174 kB] Get: 396 http://deb.debian.org/debian buster/main i386 libqhull7 i386 2015.2-4 [206 kB] Get: 397 http://deb.debian.org/debian buster/main i386 libspatialite7 i386 4.3.0a-5+b2 [1265 kB] Get: 398 http://deb.debian.org/debian buster/main i386 libxerces-c3.2 i386 3.2.2+debian-1+b1 [955 kB] Get: 399 http://deb.debian.org/debian buster/main i386 odbcinst i386 2.3.6-0.1 [48.8 kB] Get: 400 http://deb.debian.org/debian buster/main i386 odbcinst1debian2 i386 2.3.6-0.1 [81.0 kB] Get: 401 http://deb.debian.org/debian buster/main i386 libgdal20 i386 2.4.0+dfsg-1+b1 [6689 kB] Get: 402 http://deb.debian.org/debian buster/main i386 libsocket++1 i386 1.12.13-10 [45.4 kB] Get: 403 http://deb.debian.org/debian buster/main i386 libgdcm2.8 i386 2.8.8-9 [1851 kB] Get: 404 http://deb.debian.org/debian buster/main i386 libgdcm2-dev i386 2.8.8-9 [262 kB] Get: 405 http://deb.debian.org/debian buster/main i386 libgflags2.2 i386 2.2.2-1 [79.9 kB] Get: 406 http://deb.debian.org/debian buster/main i386 libgflags-dev i386 2.2.2-1 [99.8 kB] Get: 407 http://deb.debian.org/debian buster/main i386 libglapi-mesa i386 18.3.6-2+deb10u1 [66.9 kB] Get: 408 http://deb.debian.org/debian buster/main i386 libllvm7 i386 1:7.0.1-8 [13.0 MB] Get: 409 http://deb.debian.org/debian buster/main i386 libsensors-config all 1:3.5.0-3 [31.6 kB] Get: 410 http://deb.debian.org/debian buster/main i386 libsensors5 i386 1:3.5.0-3 [53.5 kB] Get: 411 http://deb.debian.org/debian buster/main i386 libgl1-mesa-dri i386 18.3.6-2+deb10u1 [7102 kB] Get: 412 http://deb.debian.org/debian buster/main i386 libglvnd0 i386 1.1.0-1 [41.9 kB] Get: 413 http://deb.debian.org/debian buster/main i386 libx11-xcb1 i386 2:1.6.7-1 [190 kB] Get: 414 http://deb.debian.org/debian buster/main i386 libxcb-dri2-0 i386 1.13.1-2 [101 kB] Get: 415 http://deb.debian.org/debian buster/main i386 libxcb-dri3-0 i386 1.13.1-2 [101 kB] Get: 416 http://deb.debian.org/debian buster/main i386 libxcb-glx0 i386 1.13.1-2 [117 kB] Get: 417 http://deb.debian.org/debian buster/main i386 libxcb-present0 i386 1.13.1-2 [99.4 kB] Get: 418 http://deb.debian.org/debian buster/main i386 libxcb-sync1 i386 1.13.1-2 [103 kB] Get: 419 http://deb.debian.org/debian buster/main i386 libxdamage1 i386 1:1.1.4-3+b3 [15.0 kB] Get: 420 http://deb.debian.org/debian buster/main i386 libxshmfence1 i386 1.3-1 [8976 B] Get: 421 http://deb.debian.org/debian buster/main i386 libxxf86vm1 i386 1:1.1.4-1+b2 [21.7 kB] Get: 422 http://deb.debian.org/debian buster/main i386 libglx-mesa0 i386 18.3.6-2+deb10u1 [187 kB] Get: 423 http://deb.debian.org/debian buster/main i386 libglx0 i386 1.1.0-1 [31.3 kB] Get: 424 http://deb.debian.org/debian buster/main i386 libgl1 i386 1.1.0-1 [83.1 kB] Get: 425 http://deb.debian.org/debian buster/main i386 libgl2ps1.4 i386 1.4.0+dfsg1-2 [39.3 kB] Get: 426 http://deb.debian.org/debian buster/main i386 libglu1-mesa i386 9.0.0-2.1+b3 [179 kB] Get: 427 http://deb.debian.org/debian buster/main i386 libunwind8 i386 1.2.1-9 [49.7 kB] Get: 428 http://deb.debian.org/debian buster/main i386 libgoogle-glog0v5 i386 0.3.5-1 [56.0 kB] Get: 429 http://deb.debian.org/debian buster/main i386 libgoogle-glog-dev i386 0.3.5-1 [82.3 kB] Get: 430 http://deb.debian.org/debian buster/main i386 libgphoto2-port12 i386 2.5.22-3 [119 kB] Get: 431 http://deb.debian.org/debian buster/main i386 libgphoto2-6 i386 2.5.22-3 [925 kB] Get: 432 http://deb.debian.org/debian buster/main i386 pkg-config i386 0.29-6 [64.7 kB] Get: 433 http://deb.debian.org/debian buster/main i386 libgphoto2-dev i386 2.5.22-3 [943 kB] Get: 434 http://deb.debian.org/debian buster/main i386 libjson-glib-1.0-common all 1.4.4-2 [52.3 kB] Get: 435 http://deb.debian.org/debian buster/main i386 libjson-glib-1.0-0 i386 1.4.4-2 [65.1 kB] Get: 436 http://deb.debian.org/debian buster/main i386 libsoup2.4-1 i386 2.64.2-2 [269 kB] Get: 437 http://deb.debian.org/debian buster/main i386 libsoup-gnome2.4-1 i386 2.64.2-2 [18.1 kB] Get: 438 http://deb.debian.org/debian buster/main i386 librest-0.7-0 i386 0.8.1-1 [35.2 kB] Get: 439 http://deb.debian.org/debian buster/main i386 libwayland-client0 i386 1.16.0-1 [27.0 kB] Get: 440 http://deb.debian.org/debian buster/main i386 libwayland-cursor0 i386 1.16.0-1 [14.9 kB] Get: 441 http://deb.debian.org/debian buster/main i386 libwayland-egl1 i386 1.16.0-1 [8324 B] Get: 442 http://deb.debian.org/debian buster/main i386 libxcomposite1 i386 1:0.4.4-2 [16.7 kB] Get: 443 http://deb.debian.org/debian buster/main i386 libxcursor1 i386 1:1.1.15-2 [38.2 kB] Get: 444 http://deb.debian.org/debian buster/main i386 libxinerama1 i386 2:1.1.4-2 [17.9 kB] Get: 445 http://deb.debian.org/debian buster/main i386 xkb-data all 2.26-2 [681 kB] Get: 446 http://deb.debian.org/debian buster/main i386 libxkbcommon0 i386 0.8.2-1 [128 kB] Get: 447 http://deb.debian.org/debian buster/main i386 libxrandr2 i386 2:1.5.1-1 [39.3 kB] Get: 448 http://deb.debian.org/debian buster/main i386 libgtk-3-common all 3.24.5-1 [3678 kB] Get: 449 http://deb.debian.org/debian buster/main i386 libgtk-3-0 i386 3.24.5-1 [2758 kB] Get: 450 http://deb.debian.org/debian buster/main i386 libhdf5-cpp-103 i386 1.10.4+repack-10 [155 kB] Get: 451 http://deb.debian.org/debian buster/main i386 zlib1g-dev i386 1:1.2.11.dfsg-1 [216 kB] Get: 452 http://deb.debian.org/debian buster/main i386 libjpeg62-turbo-dev i386 1:1.5.2-2+b1 [226 kB] Get: 453 http://deb.debian.org/debian buster/main i386 libjpeg-dev all 1:1.5.2-2 [57.5 kB] Get: 454 http://deb.debian.org/debian buster/main i386 libhdf5-dev i386 1.10.4+repack-10 [2738 kB] Get: 455 http://deb.debian.org/debian buster/main i386 libhwloc5 i386 1.11.12-3 [119 kB] Get: 456 http://deb.debian.org/debian buster/main i386 ocl-icd-libopencl1 i386 2.2.12-2 [37.2 kB] Get: 457 http://deb.debian.org/debian buster/main i386 libhwloc-plugins i386 1.11.12-3 [17.8 kB] Get: 458 http://deb.debian.org/debian buster/main i386 libpmix2 i386 3.1.2-3 [541 kB] Get: 459 http://deb.debian.org/debian buster/main i386 libopenmpi3 i386 3.1.3-11 [2236 kB] Get: 460 http://deb.debian.org/debian buster/main i386 libhdf5-openmpi-103 i386 1.10.4+repack-10 [1348 kB] Get: 461 http://deb.debian.org/debian buster/main i386 libilmbase23 i386 2.2.1-2 [72.4 kB] Get: 462 http://deb.debian.org/debian buster/main i386 libilmbase-dev i386 2.2.1-2 [76.7 kB] Get: 463 http://deb.debian.org/debian buster/main i386 libimagequant0 i386 2.12.2-1.1 [32.4 kB] Get: 464 http://deb.debian.org/debian buster/main i386 libjbig-dev i386 2.1-3.1+b2 [30.8 kB] Get: 465 http://deb.debian.org/debian buster/main i386 libjs-jquery all 3.3.1~dfsg-3 [332 kB] Get: 466 http://deb.debian.org/debian buster/main i386 libjs-jquery-ui all 1.12.1+dfsg-5 [232 kB] Get: 467 http://deb.debian.org/debian buster/main i386 liblept5 i386 1.76.0-1 [964 kB] Get: 468 http://deb.debian.org/debian buster/main i386 libleveldb1d i386 1.20-2.1 [154 kB] Get: 469 http://deb.debian.org/debian buster/main i386 libleveldb-dev i386 1.20-2.1 [203 kB] Get: 470 http://deb.debian.org/debian buster/main i386 liblmdb0 i386 0.9.22-1 [46.3 kB] Get: 471 http://deb.debian.org/debian buster/main i386 liblmdb-dev i386 0.9.22-1 [62.3 kB] Get: 472 http://deb.debian.org/debian buster/main i386 liblzma-dev i386 5.2.4-1 [219 kB] Get: 473 http://deb.debian.org/debian buster/main i386 libnetcdf-c++4 i386 4.2-11 [37.5 kB] Get: 474 http://deb.debian.org/debian buster/main i386 libtbb2 i386 2018~U6-4 [153 kB] Get: 475 http://deb.debian.org/debian buster/main i386 libopencv-core3.2 i386 3.2.0+dfsg-6 [768 kB] Get: 476 http://deb.debian.org/debian buster/main i386 libopencv-flann3.2 i386 3.2.0+dfsg-6 [106 kB] Get: 477 http://deb.debian.org/debian buster/main i386 libopencv-imgproc3.2 i386 3.2.0+dfsg-6 [824 kB] Get: 478 http://deb.debian.org/debian buster/main i386 libopenexr23 i386 2.2.1-4.1 [608 kB] Get: 479 http://deb.debian.org/debian buster/main i386 libopencv-imgcodecs3.2 i386 3.2.0+dfsg-6 [106 kB] Get: 480 http://deb.debian.org/debian buster/main i386 libswscale5 i386 7:4.1.4-1~deb10u1 [199 kB] Get: 481 http://deb.debian.org/debian buster/main i386 libopencv-videoio3.2 i386 3.2.0+dfsg-6 [99.9 kB] Get: 482 http://deb.debian.org/debian buster/main i386 libopencv-highgui3.2 i386 3.2.0+dfsg-6 [35.2 kB] Get: 483 http://deb.debian.org/debian buster/main i386 libopencv-ml3.2 i386 3.2.0+dfsg-6 [256 kB] Get: 484 http://deb.debian.org/debian buster/main i386 libopencv-features2d3.2 i386 3.2.0+dfsg-6 [253 kB] Get: 485 http://deb.debian.org/debian buster/main i386 libopencv-calib3d3.2 i386 3.2.0+dfsg-6 [458 kB] Get: 486 http://deb.debian.org/debian buster/main i386 libtbb-dev i386 2018~U6-4 [286 kB] Get: 487 http://deb.debian.org/debian buster/main i386 libopencv-core-dev i386 3.2.0+dfsg-6 [1221 kB] Get: 488 http://deb.debian.org/debian buster/main i386 libopencv-flann-dev i386 3.2.0+dfsg-6 [178 kB] Get: 489 http://deb.debian.org/debian buster/main i386 libopencv-imgproc-dev i386 3.2.0+dfsg-6 [1068 kB] Get: 490 http://deb.debian.org/debian buster/main i386 libopencv-imgcodecs-dev i386 3.2.0+dfsg-6 [161 kB] Get: 491 http://deb.debian.org/debian buster/main i386 libopencv-videoio-dev i386 3.2.0+dfsg-6 [143 kB] Get: 492 http://deb.debian.org/debian buster/main i386 libopenexr-dev i386 2.2.1-4.1 [749 kB] Get: 493 http://deb.debian.org/debian buster/main i386 libpng-dev i386 1.6.36-6 [310 kB] Get: 494 http://deb.debian.org/debian buster/main i386 libswscale-dev i386 7:4.1.4-1~deb10u1 [222 kB] Get: 495 http://deb.debian.org/debian buster/main i386 libtiffxx5 i386 4.1.0+git191117-2~deb10u1 [118 kB] Get: 496 http://deb.debian.org/debian buster/main i386 libtiff-dev i386 4.1.0+git191117-2~deb10u1 [413 kB] Get: 497 http://deb.debian.org/debian buster/main i386 libopencv-highgui-dev i386 3.2.0+dfsg-6 [48.9 kB] Get: 498 http://deb.debian.org/debian buster/main i386 libopencv-ml-dev i386 3.2.0+dfsg-6 [334 kB] Get: 499 http://deb.debian.org/debian buster/main i386 libopencv-features2d-dev i386 3.2.0+dfsg-6 [325 kB] Get: 500 http://deb.debian.org/debian buster/main i386 libopencv-calib3d-dev i386 3.2.0+dfsg-6 [562 kB] Get: 501 http://deb.debian.org/debian buster/main i386 libopencv-objdetect3.2 i386 3.2.0+dfsg-6 [158 kB] Get: 502 http://deb.debian.org/debian buster/main i386 libopencv-photo3.2 i386 3.2.0+dfsg-6 [216 kB] Get: 503 http://deb.debian.org/debian buster/main i386 libopencv-video3.2 i386 3.2.0+dfsg-6 [146 kB] Get: 504 http://deb.debian.org/debian buster/main i386 libopencv-shape3.2 i386 3.2.0+dfsg-6 [75.9 kB] Get: 505 http://deb.debian.org/debian buster/main i386 libopencv-stitching3.2 i386 3.2.0+dfsg-6 [194 kB] Get: 506 http://deb.debian.org/debian buster/main i386 libopencv-superres3.2 i386 3.2.0+dfsg-6 [59.9 kB] Get: 507 http://deb.debian.org/debian buster/main i386 libopencv-videostab3.2 i386 3.2.0+dfsg-6 [120 kB] Get: 508 http://deb.debian.org/debian buster/main i386 libtcl8.6 i386 8.6.9+dfsg-2 [1065 kB] Get: 509 http://deb.debian.org/debian buster/main i386 libxft2 i386 2.3.2-2 [58.2 kB] Get: 510 http://deb.debian.org/debian buster/main i386 libxss1 i386 1:1.2.3-1 [18.1 kB] Get: 511 http://deb.debian.org/debian buster/main i386 libtk8.6 i386 8.6.9-2 [809 kB] Get: 512 http://deb.debian.org/debian buster/main i386 libvtk6.3 i386 6.3.0+dfsg2-2+b5 [33.5 MB] Get: 513 http://deb.debian.org/debian buster/main i386 libopencv-viz3.2 i386 3.2.0+dfsg-6 [137 kB] Get: 514 http://deb.debian.org/debian buster/main i386 libtesseract4 i386 4.0.0-2 [1320 kB] Get: 515 http://deb.debian.org/debian buster/main i386 libopencv-contrib3.2 i386 3.2.0+dfsg-6 [1591 kB] Get: 516 http://deb.debian.org/debian buster/main i386 libopencv-objdetect-dev i386 3.2.0+dfsg-6 [192 kB] Get: 517 http://deb.debian.org/debian buster/main i386 libopencv-photo-dev i386 3.2.0+dfsg-6 [264 kB] Get: 518 http://deb.debian.org/debian buster/main i386 libopencv-video-dev i386 3.2.0+dfsg-6 [182 kB] Get: 519 http://deb.debian.org/debian buster/main i386 libopencv-shape-dev i386 3.2.0+dfsg-6 [97.3 kB] Get: 520 http://deb.debian.org/debian buster/main i386 libopencv-stitching-dev i386 3.2.0+dfsg-6 [250 kB] Get: 521 http://deb.debian.org/debian buster/main i386 libopencv-superres-dev i386 3.2.0+dfsg-6 [77.1 kB] Get: 522 http://deb.debian.org/debian buster/main i386 libopencv-videostab-dev i386 3.2.0+dfsg-6 [155 kB] Get: 523 http://deb.debian.org/debian buster/main i386 libopencv-viz-dev i386 3.2.0+dfsg-6 [184 kB] Get: 524 http://deb.debian.org/debian buster/main i386 libopencv-contrib-dev i386 3.2.0+dfsg-6 [2330 kB] Get: 525 http://deb.debian.org/debian buster/main i386 libopencv-ts-dev i386 3.2.0+dfsg-6 [327 kB] Get: 526 http://deb.debian.org/debian buster/main i386 libopencv3.2-jni i386 3.2.0+dfsg-6 [240 kB] Get: 527 http://deb.debian.org/debian buster/main i386 libopencv3.2-java all 3.2.0+dfsg-6 [401 kB] Get: 528 http://deb.debian.org/debian buster/main i386 libopencv-dev i386 3.2.0+dfsg-6 [254 kB] Get: 529 http://deb.debian.org/debian buster/main i386 libprotobuf17 i386 3.6.1.3-2 [895 kB] Get: 530 http://deb.debian.org/debian buster/main i386 libprotobuf-lite17 i386 3.6.1.3-2 [183 kB] Get: 531 http://deb.debian.org/debian buster/main i386 libprotobuf-dev i386 3.6.1.3-2 [1226 kB] Get: 532 http://deb.debian.org/debian buster/main i386 libprotoc17 i386 3.6.1.3-2 [714 kB] Get: 533 http://deb.debian.org/debian buster/main i386 libprotoc-dev i386 3.6.1.3-2 [830 kB] Get: 534 http://deb.debian.org/debian buster/main i386 libsnappy-dev i386 1.1.7-1 [30.5 kB] Get: 535 http://deb.debian.org/debian buster/main i386 libwebpdemux2 i386 0.6.1-2 [87.8 kB] Get: 536 http://deb.debian.org/debian buster/main i386 libyaml-0-2 i386 0.2.1-1 [49.7 kB] Get: 537 http://deb.debian.org/debian buster/main i386 protobuf-compiler i386 3.6.1.3-2 [65.2 kB] Get: 538 http://deb.debian.org/debian buster/main i386 python-matplotlib-data all 3.0.2-2 [4138 kB] Get: 539 http://deb.debian.org/debian buster/main i386 python3-cloudpickle all 0.8.0-1 [16.5 kB] Get: 540 http://deb.debian.org/debian buster/main i386 python3-cycler all 0.10.0-1 [7556 B] Get: 541 http://deb.debian.org/debian buster/main i386 python3-dateutil all 2.7.3-3 [64.5 kB] Get: 542 http://deb.debian.org/debian buster/main i386 python3-gflags all 1.5.1-5 [36.3 kB] Get: 543 http://deb.debian.org/debian buster/main i386 python3-numpy i386 1:1.16.2-1 [2115 kB] Get: 544 http://deb.debian.org/debian buster/main i386 python3-h5py i386 2.8.0-3 [825 kB] Get: 545 http://deb.debian.org/debian buster/main i386 python3-kiwisolver i386 1.0.1-2+b1 [73.8 kB] Get: 546 http://deb.debian.org/debian buster/main i386 python3-leveldb i386 0~svn68-3+b3 [19.6 kB] Get: 547 http://deb.debian.org/debian buster/main i386 python3-pyparsing all 2.2.0+dfsg1-2 [89.6 kB] Get: 548 http://deb.debian.org/debian buster/main i386 python3-matplotlib i386 3.0.2-2 [5377 kB] Get: 549 http://deb.debian.org/debian buster/main i386 python3-networkx all 2.2-1 [818 kB] Get: 550 http://deb.debian.org/debian buster/main i386 python3-nose all 1.3.7-4 [132 kB] Get: 551 http://deb.debian.org/debian buster/main i386 python3-tz all 2019.1-1 [27.1 kB] Get: 552 http://deb.debian.org/debian buster/main i386 python3-pandas-lib i386 0.23.3+dfsg-3 [2890 kB] Get: 553 http://deb.debian.org/debian buster/main i386 python3-pandas all 0.23.3+dfsg-3 [1750 kB] Get: 554 http://deb.debian.org/debian buster/main i386 python3-pil i386 5.4.1-2+deb10u1 [398 kB] Get: 555 http://deb.debian.org/debian buster/main i386 python3-protobuf i386 3.6.1.3-2 [341 kB] Get: 556 http://deb.debian.org/debian buster/main i386 python3-pydotplus all 2.0.2-2 [20.2 kB] Get: 557 http://deb.debian.org/debian buster/main i386 python3-pywt i386 0.5.1-1.1+b3 [1010 kB] Get: 558 http://deb.debian.org/debian buster/main i386 python3-scipy i386 1.1.0-7 [9269 kB] Get: 559 http://deb.debian.org/debian buster/main i386 python3-skimage-lib i386 0.14.2-2 [1342 kB] Get: 560 http://deb.debian.org/debian buster/main i386 python3-skimage all 0.14.2-2 [19.9 MB] Get: 561 http://deb.debian.org/debian buster/main i386 python3-yaml i386 3.13-2 [111 kB] Fetched 551 MB in 1min 18s (7079 kB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:i386. (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 ... 19234 files and directories currently installed.) Preparing to unpack .../00-libapparmor1_2.13.2-10_i386.deb ... Unpacking libapparmor1:i386 (2.13.2-10) ... Selecting previously unselected package libcap2:i386. Preparing to unpack .../01-libcap2_1%3a2.25-2_i386.deb ... Unpacking libcap2:i386 (1:2.25-2) ... Selecting previously unselected package libargon2-1:i386. Preparing to unpack .../02-libargon2-1_0~20171227-0.2_i386.deb ... Unpacking libargon2-1:i386 (0~20171227-0.2) ... Selecting previously unselected package dmsetup. Preparing to unpack .../03-dmsetup_2%3a1.02.155-3_i386.deb ... Unpacking dmsetup (2:1.02.155-3) ... Selecting previously unselected package libdevmapper1.02.1:i386. Preparing to unpack .../04-libdevmapper1.02.1_2%3a1.02.155-3_i386.deb ... Unpacking libdevmapper1.02.1:i386 (2:1.02.155-3) ... Selecting previously unselected package libjson-c3:i386. Preparing to unpack .../05-libjson-c3_0.12.1+ds-2_i386.deb ... Unpacking libjson-c3:i386 (0.12.1+ds-2) ... Selecting previously unselected package libssl1.1:i386. Preparing to unpack .../06-libssl1.1_1.1.1d-0+deb10u3_i386.deb ... Unpacking libssl1.1:i386 (1.1.1d-0+deb10u3) ... Selecting previously unselected package libcryptsetup12:i386. Preparing to unpack .../07-libcryptsetup12_2%3a2.1.0-5+deb10u2_i386.deb ... Unpacking libcryptsetup12:i386 (2:2.1.0-5+deb10u2) ... Selecting previously unselected package libidn11:i386. Preparing to unpack .../08-libidn11_1.33-2.2_i386.deb ... Unpacking libidn11:i386 (1.33-2.2) ... Selecting previously unselected package libip4tc0:i386. Preparing to unpack .../09-libip4tc0_1.8.2-4_i386.deb ... Unpacking libip4tc0:i386 (1.8.2-4) ... Selecting previously unselected package libkmod2:i386. Preparing to unpack .../10-libkmod2_26-1_i386.deb ... Unpacking libkmod2:i386 (26-1) ... Selecting previously unselected package systemd. Preparing to unpack .../11-systemd_241-7~deb10u4_i386.deb ... Unpacking systemd (241-7~deb10u4) ... Setting up libapparmor1:i386 (2.13.2-10) ... Setting up libcap2:i386 (1:2.25-2) ... Setting up libargon2-1:i386 (0~20171227-0.2) ... Setting up libjson-c3:i386 (0.12.1+ds-2) ... Setting up libssl1.1:i386 (1.1.1d-0+deb10u3) ... Setting up libidn11:i386 (1.33-2.2) ... Setting up libip4tc0:i386 (1.8.2-4) ... Setting up libkmod2:i386 (26-1) ... Setting up libdevmapper1.02.1:i386 (2:1.02.155-3) ... Setting up libcryptsetup12:i386 (2:2.1.0-5+deb10u2) ... Setting up systemd (241-7~deb10u4) ... 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. ERROR: ld.so: object 'libeatmydata.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored. ERROR: ld.so: object 'libeatmydata.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored. ERROR: ld.so: object 'libeatmydata.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored. Setting up dmsetup (2:1.02.155-3) ... Selecting previously unselected package systemd-sysv. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20089 files and directories currently installed.) Preparing to unpack .../00-systemd-sysv_241-7~deb10u4_i386.deb ... Unpacking systemd-sysv (241-7~deb10u4) ... Selecting previously unselected package libbsd0:i386. Preparing to unpack .../01-libbsd0_0.9.1-2_i386.deb ... Unpacking libbsd0:i386 (0.9.1-2) ... Selecting previously unselected package bsdmainutils. Preparing to unpack .../02-bsdmainutils_11.1.2+b1_i386.deb ... Unpacking bsdmainutils (11.1.2+b1) ... Selecting previously unselected package libuchardet0:i386. Preparing to unpack .../03-libuchardet0_0.0.6-3_i386.deb ... Unpacking libuchardet0:i386 (0.0.6-3) ... Selecting previously unselected package groff-base. Preparing to unpack .../04-groff-base_1.22.4-3_i386.deb ... Unpacking groff-base (1.22.4-3) ... Selecting previously unselected package libpipeline1:i386. Preparing to unpack .../05-libpipeline1_1.5.1-2_i386.deb ... Unpacking libpipeline1:i386 (1.5.1-2) ... Selecting previously unselected package man-db. Preparing to unpack .../06-man-db_2.8.5-2_i386.deb ... Unpacking man-db (2.8.5-2) ... Selecting previously unselected package libpython2.7-minimal:i386. Preparing to unpack .../07-libpython2.7-minimal_2.7.16-2+deb10u1_i386.deb ... Unpacking libpython2.7-minimal:i386 (2.7.16-2+deb10u1) ... Selecting previously unselected package python2.7-minimal. Preparing to unpack .../08-python2.7-minimal_2.7.16-2+deb10u1_i386.deb ... Unpacking python2.7-minimal (2.7.16-2+deb10u1) ... Selecting previously unselected package python2-minimal. Preparing to unpack .../09-python2-minimal_2.7.16-1_i386.deb ... Unpacking python2-minimal (2.7.16-1) ... Selecting previously unselected package python-minimal. Preparing to unpack .../10-python-minimal_2.7.16-1_i386.deb ... Unpacking python-minimal (2.7.16-1) ... Selecting previously unselected package mime-support. Preparing to unpack .../11-mime-support_3.62_all.deb ... Unpacking mime-support (3.62) ... Selecting previously unselected package libexpat1:i386. Preparing to unpack .../12-libexpat1_2.2.6-2+deb10u1_i386.deb ... Unpacking libexpat1:i386 (2.2.6-2+deb10u1) ... Selecting previously unselected package readline-common. Preparing to unpack .../13-readline-common_7.0-5_all.deb ... Unpacking readline-common (7.0-5) ... Selecting previously unselected package libreadline7:i386. 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Setting up libblas3:i386 (3.8.0-2) ... update-alternatives: using /usr/lib/i386-linux-gnu/blas/libblas.so.3 to provide /usr/lib/i386-linux-gnu/libblas.so.3 (libblas.so.3-i386-linux-gnu) in auto mode Setting up libopenexr-dev (2.2.1-4.1) ... Setting up doxygen (1.8.13-10) ... Setting up libjs-jquery-ui (1.12.1+dfsg-5) ... Setting up libptexenc1:i386 (2018.20181218.49446-1) ... Setting up libfreetype6:i386 (2.9.1-3+deb10u1) ... Setting up libtiff-dev:i386 (4.1.0+git191117-2~deb10u1) ... Setting up libgdcm2.8:i386 (2.8.8-9) ... Setting up libxcb-sync1:i386 (1.13.1-2) ... Setting up libkmlregionator1:i386 (1.3.0-7) ... Setting up libhdf5-103:i386 (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:i386 (1.17-3) ... Setting up libgflags-dev (2.2.2-1) ... Setting up libopencv-video3.2:i386 (3.2.0+dfsg-6) ... Setting up libcroco3:i386 (0.6.12-3) ... Setting up libodbc1:i386 (2.3.6-0.1) ... Setting up ucf (3.0038+nmu1) ... Setting up libtesseract4:i386 (4.0.0-2) ... Setting up autoconf (2.69-11) ... Setting up libxcb-dri2-0:i386 (1.13.1-2) ... Setting up libgvpr2 (2.40.1-6) ... Setting up libdrm2:i386 (2.4.97-1) ... Setting up dwz (0.12-3) ... Setting up libgdcm2-dev (2.8.8-9) ... Setting up libopencv-flann3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-core-dev:i386 (3.2.0+dfsg-6) ... Setting up libva-drm2:i386 (2.4.0-1) ... Setting up libprotoc-dev:i386 (3.6.1.3-2) ... Setting up groff-base (1.22.4-3) ... Setting up libwayland-cursor0:i386 (1.16.0-1) ... Setting up libcurl4:i386 (7.64.0-4+deb10u1) ... Setting up libllvm7:i386 (1:7.0.1-8) ... Setting up libx11-6:i386 (2:1.6.7-1) ... Setting up libharfbuzz0b:i386 (2.3.1-1) ... Setting up libxcomposite1:i386 (1:0.4.4-2) ... Setting up libsm6:i386 (2:1.2.3-1) ... Setting up libgoogle-glog0v5 (0.3.5-1) ... Setting up libopenmpt0:i386 (0.4.3-1) ... Setting up libavahi-client3:i386 (0.7-4+b1) ... Setting up libboost-filesystem-dev:i386 (1.67.0.1) ... Setting up libblas-dev:i386 (3.8.0-2) ... update-alternatives: using /usr/lib/i386-linux-gnu/blas/libblas.so to provide /usr/lib/i386-linux-gnu/libblas.so (libblas.so-i386-linux-gnu) in auto mode Setting up libpython3-stdlib:i386 (3.7.3-1) ... Setting up libdrm-amdgpu1:i386 (2.4.97-1) ... Setting up libssh-gcrypt-4:i386 (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:i386 (1.13.1-2) ... Setting up libpaper1:i386 (1.1.28) ... Creating config file /etc/papersize with new version Setting up python3.7 (3.7.3-2+deb10u1) ... Setting up libopencv-flann-dev:i386 (3.2.0+dfsg-6) ... Setting up libibverbs1:i386 (22.1-1) ... Setting up libpython2.7:i386 (2.7.16-2+deb10u1) ... Setting up liblapack3:i386 (3.8.0-2) ... update-alternatives: using /usr/lib/i386-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/i386-linux-gnu/liblapack.so.3 (liblapack.so.3-i386-linux-gnu) in auto mode Setting up libpython2.7-dev:i386 (2.7.16-2+deb10u1) ... Setting up libdrm-nouveau2:i386 (2.4.97-1) ... Setting up gettext (0.19.8.1-9) ... Setting up libharfbuzz-icu0:i386 (2.3.1-1) ... Setting up libopencv-ml-dev:i386 (3.2.0+dfsg-6) ... Setting up libpython3-dev:i386 (3.7.3-1) ... Setting up libxpm4:i386 (1:3.5.12-1) ... Setting up libdc1394-22-dev:i386 (2.2.5-1) ... Setting up python2.7 (2.7.16-2+deb10u1) ... Setting up libxrender1:i386 (1:0.9.10-1) ... Setting up libpmix2:i386 (3.1.2-3) ... Setting up libboost-thread1.67-dev:i386 (1.67.0-13+deb10u1) ... Setting up libpython2-stdlib:i386 (2.7.16-1) ... Setting up libsombok3:i386 (2.4.0-2) ... Setting up libdrm-radeon1:i386 (2.4.97-1) ... Setting up fontconfig-config (2.13.1-2) ... Setting up libdrm-intel1:i386 (2.4.97-1) ... Setting up libgl1-mesa-dri:i386 (18.3.6-2+deb10u1) ... Setting up libhdf5-cpp-103:i386 (1.10.4+repack-10) ... Setting up libarpack2:i386 (3.7.0-2) ... Setting up libpq5:i386 (11.7-0+deb10u1) ... Setting up libsuperlu5:i386 (5.2.1+dfsg1-4) ... Setting up libxext6:i386 (2:1.3.3-1+b2) ... Setting up libcurl3-gnutls:i386 (7.64.0-4+deb10u1) ... Setting up libnetcdf13:i386 (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:i386 (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:i386 (3.2.0+dfsg-6) ... Setting up python3.7-dev (3.7.3-2+deb10u1) ... Setting up libnetcdf-c++4 (4.2-11) ... Setting up python3-tz (2019.1-1) ... Setting up libxxf86vm1:i386 (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:i386 (2.30.0-5) ... Setting up python3-pil:i386 (5.4.1-2+deb10u1) ... Setting up libpython-stdlib:i386 (2.7.16-1) ... Setting up python3-decorator (4.3.0-1.1) ... Setting up python3-pygments (2.3.1+dfsg-1) ... Setting up python3-wcwidth (0.1.7+dfsg1-3) ... Setting up python3-pyparsing (2.2.0+dfsg1-2) ... Setting up libxfixes3:i386 (1:5.0.3-1) ... Setting up libopencv-imgproc-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-shape3.2:i386 (3.2.0+dfsg-6) ... Setting up libunicode-linebreak-perl (0.0.20190101-1) ... Setting up libgdk-pixbuf2.0-0:i386 (2.38.1+dfsg-1) ... Setting up python3-leveldb (0~svn68-3+b3) ... Setting up python3-cycler (0.10.0-1) ... Setting up libxinerama1:i386 (2:1.1.4-2) ... Setting up libhdf5-dev (1.10.4+repack-10) ... update-alternatives: using /usr/lib/i386-linux-gnu/pkgconfig/hdf5-serial.pc to provide /usr/lib/i386-linux-gnu/pkgconfig/hdf5.pc (hdf5.pc) in auto mode Setting up libxrandr2:i386 (2:1.5.1-1) ... Setting up cython3 (0.29.2-2) ... Setting up git (1:2.20.1-2+deb10u3) ... Setting up libxt6:i386 (1:1.1.5-1+b3) ... Setting up python3-pickleshare (0.7.5-1) ... Setting up libcups2:i386 (2.2.10-6+deb10u3) ... Setting up libopencv-video-dev:i386 (3.2.0+dfsg-6) ... Setting up libvdpau1:i386 (1.1.1-10) ... Setting up libdapclient6v5:i386 (3.20.3-1) ... Setting up cmake (3.13.4-1) ... Setting up python3-dateutil (2.7.3-3) ... Setting up libpython2-dev:i386 (2.7.16-1) ... Setting up libgoogle-glog-dev (0.3.5-1) ... Setting up libxss1:i386 (1:1.2.3-1) ... Setting up libfontconfig1:i386 (2.13.1-2) ... Setting up libarmadillo9 (1:9.200.7+dfsg-1) ... Setting up python3-simplegeneric (0.8.1-2) ... Setting up libbluray2:i386 (1:1.1.0-1) ... Setting up libva-x11-2:i386 (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:i386 (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:i386 (3.2.0+dfsg-6) ... Setting up librdmacm1:i386 (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:i386 (2.3.2-2) ... Setting up libxmu6:i386 (2:1.1.2-2+b3) ... Setting up libxdamage1:i386 (1:1.1.4-3+b3) ... Setting up libxerces-c3.2:i386 (3.2.2+debian-1+b1) ... Setting up python2-dev (2.7.16-1) ... Setting up libxi6:i386 (2:1.7.9-1) ... Setting up dconf-gsettings-backend:i386 (0.30.1-2) ... Setting up python3-ipython-genutils (0.2.0-1) ... Setting up po-debconf (1.0.21) ... Setting up preview-latex-style (11.91-2) ... Setting up libtk8.6:i386 (8.6.9-2) ... Setting up libxcursor1:i386 (1:1.1.15-2) ... Setting up libopencv-photo-dev:i386 (3.2.0+dfsg-6) ... Setting up libpango-1.0-0:i386 (1.42.4-8~deb10u1) ... Setting up libpoppler82:i386 (0.71.0-5) ... Setting up python3-yaml (3.13-2) ... Setting up libxaw7:i386 (2:1.0.13-1+b2) ... Setting up python3-networkx (2.2-1) ... Setting up python3-nose (1.3.7-4) ... Setting up libcairo2:i386 (1.16.0-4) ... Setting up libavutil56:i386 (7:4.1.4-1~deb10u1) ... Setting up libcupsimage2:i386 (2.2.10-6+deb10u3) ... Setting up libpython-dev:i386 (2.7.16-1) ... Setting up python3-pexpect (4.6.0-1) ... Setting up python3-dev (3.7.3-1) ... Setting up libgd3:i386 (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:i386 (1.1.1+dfsg.1-15) ... Setting up libswscale5:i386 (7:4.1.4-1~deb10u1) ... Setting up libcairo-gobject2:i386 (1.16.0-4) ... Setting up python3-pywt (0.5.1-1.1+b3) ... Setting up libpangoft2-1.0-0:i386 (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:i386 (1.42.4-8~deb10u1) ... Setting up python-dev (2.7.16-1) ... Setting up libavutil-dev:i386 (7:4.1.4-1~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:i386 (18.3.6-2+deb10u1) ... Setting up python3-scipy (1.1.0-7) ... Setting up libgs9:i386 (9.27~dfsg-2+deb10u3) ... Setting up libglx0:i386 (1.1.0-1) ... Setting up python3-skimage-lib:i386 (0.14.2-2) ... Setting up libopenmpi3:i386 (3.1.3-11) ... Setting up python3-pandas-lib (0.23.3+dfsg-3) ... Setting up libswresample3:i386 (7:4.1.4-1~deb10u1) ... Setting up ghostscript (9.27~dfsg-2+deb10u3) ... Setting up libavresample4:i386 (7:4.1.4-1~deb10u1) ... Setting up librsvg2-2:i386 (2.44.10-2.1) ... Setting up libgphoto2-6:i386 (2.5.22-3) ... Setting up libhdf5-openmpi-103:i386 (1.10.4+repack-10) ... Setting up libgl1:i386 (1.1.0-1) ... Setting up python3-pandas (0.23.3+dfsg-3) ... Setting up python3-ipython (5.8.0-1) ... Setting up libswscale-dev:i386 (7:4.1.4-1~deb10u1) ... Setting up python3-h5py (2.8.0-3) ... Setting up libgvc6 (2.40.1-6) ... Setting up librsvg2-common:i386 (2.44.10-2.1) ... 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:i386 (7:4.1.4-1~deb10u1) ... Setting up ipython3 (5.8.0-1) ... Setting up python3-skimage (0.14.2-2) ... Setting up libglu1-mesa:i386 (9.0.0-2.1+b3) ... Setting up glib-networking:i386 (2.58.0-2) ... 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:i386 (1.4.3-3) ... Setting up graphviz (2.40.1-6) ... Setting up libsoup2.4-1:i386 (2.64.2-2) ... Setting up libgphoto2-dev:i386 (2.5.22-3) ... Setting up python3-pydotplus (2.0.2-2) ... Setting up libswresample-dev:i386 (7:4.1.4-1~deb10u1) ... Setting up libavformat58:i386 (7:4.1.4-1~deb10u1) ... Setting up libavcodec-dev:i386 (7:4.1.4-1~deb10u1) ... Setting up libavresample-dev:i386 (7:4.1.4-1~deb10u1) ... Setting up libavformat-dev:i386 (7:4.1.4-1~deb10u1) ... Setting up texlive-font-utils (2018.20190227-2) ... Setting up libgl2ps1.4 (1.4.0+dfsg1-2) ... Setting up libboost-python-dev (1.67.0.1) ... Setting up texlive-latex-base (2018.20190227-2) ... Setting up adwaita-icon-theme (3.30.1-1) ... update-alternatives: using /usr/share/icons/Adwaita/cursor.theme to provide /usr/share/icons/default/index.theme (x-cursor-theme) in auto mode Setting up texlive-extra-utils (2018.20190227-2) ... Setting up texlive-latex-recommended (2018.20190227-2) ... Setting up texlive-pictures (2018.20190227-2) ... Setting up texlive-fonts-recommended (2018.20190227-2) ... Setting up libsoup-gnome2.4-1:i386 (2.64.2-2) ... Setting up cm-super-minimal (0.3.4-14) ... Setting up librest-0.7-0:i386 (0.8.1-1) ... Setting up libgtk-3-0:i386 (3.24.5-1) ... Setting up texlive-latex-extra (2018.20190227-2) ... Setting up doxygen-latex (1.8.13-10) ... Setting up odbcinst (2.3.6-0.1) ... Setting up dh-autoreconf (19) ... Setting up dh-strip-nondeterminism (1.1.2-1) ... Setting up odbcinst1debian2:i386 (2.3.6-0.1) ... Setting up libgdal20 (2.4.0+dfsg-1+b1) ... Setting up libopencv-imgcodecs3.2:i386 (3.2.0+dfsg-6) ... Setting up libvtk6.3 (6.3.0+dfsg2-2+b5) ... Setting up debhelper (12.1.1) ... Setting up libopencv-imgcodecs-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-viz3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-viz-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-videoio3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-videoio-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-superres3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-highgui3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-superres-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-features2d3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-highgui-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-features2d-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-calib3d3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-objdetect3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-calib3d-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-objdetect-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-stitching3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-videostab3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv-videostab-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-stitching-dev:i386 (3.2.0+dfsg-6) ... Setting up libopencv-contrib3.2:i386 (3.2.0+dfsg-6) ... Setting up libopencv3.2-jni (3.2.0+dfsg-6) ... Setting up libopencv-contrib-dev:i386 (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~deb10u4) ... Processing triggers for libgdk-pixbuf2.0-0:i386 (2.38.1+dfsg-1) ... Processing triggers for tex-common (6.11) ... Running updmap-sys. This may take some time... done. Running mktexlsr /var/lib/texmf ... done. Building format(s) --all. This may take some time... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps Reading package lists... Building dependency tree... Reading state information... fakeroot is already the newest version (1.23-1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b 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 i386 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#}{i386-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#}{i386-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/i386-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/i386-linux-gnu/libgflags.so) -- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/i386-linux-gnu/libglog.so) -- Found Protobuf: /usr/lib/i386-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/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so;/usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/i386-linux-gnu/libpthread.so;/usr/lib/i386-linux-gnu/libsz.so;/usr/lib/i386-linux-gnu/libz.so;/usr/lib/i386-linux-gnu/libdl.so;/usr/lib/i386-linux-gnu/libm.so (found version "1.10.4") found components: HL -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/i386-linux-gnu/liblmdb.so) -- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/i386-linux-gnu/libleveldb.so) -- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/i386-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/i386-linux-gnu/libblas.so -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.7.3", minimum required is "3.0") -- Found PythonLibs: /usr/lib/i386-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/i386-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 -j10 "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/common.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/common.cpp [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer_factory.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/absval_layer.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.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 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/usr/lib/i386-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 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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/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]: 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' 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' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend [ 2%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp 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 [ 60%] Linking CXX static library ../../lib/libgtest.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -E cmake_link_script CMakeFiles/gtest.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libgtest.a CMakeFiles/gtest.dir/gtest-all.cpp.o /usr/bin/ranlib ../../lib/libgtest.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target gtest make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Scanning dependencies of target test.testbin make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_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_accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp [ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -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 [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_blob.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_common.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_caffe_main.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_common.cpp [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_concat_layer.cpp.o cd /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_concat_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_concat_layer.cpp [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_contrastive_loss_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 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/usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_pooling_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp [ 87%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_power_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 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-fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_protobuf.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_protobuf.cpp [ 88%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_random_number_generator.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall 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src/caffe/test/CMakeFiles/test.testbin.dir/test_solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver.cpp [ 94%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_solver_factory.cpp.o cd 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&& /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_split_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp [ 95%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_spp_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE 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-I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_stochastic_pooling.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp [ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_syncedmem.cpp [ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp [ 97%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_threshold_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build 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-I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_tile_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tile_layer.cpp [ 98%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_upgrade_proto.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem 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-lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/i386-linux-gnu/libopencv_highgui.so.3.2.0 /usr/lib/i386-linux-gnu/libopencv_imgcodecs.so.3.2.0 /usr/lib/i386-linux-gnu/libopencv_imgproc.so.3.2.0 /usr/lib/i386-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]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 90%] Built target convert_mnist_data 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' 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= Scanning dependencies of target convert_mnist_siamese_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 92%] Building CXX object examples/CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o 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 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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/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 -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[4]: 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[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' [ 95%] Built target pycaffe 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/cifar10/convert_cifar_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 95%] Built target convert_cifar_data [ 96%] Linking CXX executable upgrade_solver_proto_text cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_solver_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_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -o upgrade_solver_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread 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/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: 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(./namespaces.tex (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd)) [1] [2] Chapter 2. (./hierarchy.tex [3] [4]) [5] [6] Chapter 3. (./annotated.tex Underfull \hbox (badness 1248) in paragraph at lines 9--9 \T1/phv/m/n/10 Abstract base class that fac-tors out the B[]L[]AS code com-mon to [][]Convolution[]Layer[][] and [7] [8] [9] Underfull \vbox (badness 10000) has occurred while \output is active [10]) [11] [12] Chapter 4. (./namespaceboost.tex) (./namespacecaffe.tex [13] [14] [15] [16] [17] [18] [19] [20] Underfull \hbox (badness 824) in paragraph at lines 562--565 [][] \T1/phv/m/n/10 bool \T1/phv/b/n/10 Upgrade[]V0[]Layer[]Parameter \T1/phv/m /n/10 (const V1[]Layer[]Parameter &v0[]_[]layer[]_[]connection, V1[]Layer[]Para meter [21] [22] [23] [24] [25] [26] [27]) (./namespacecaffe_1_1SolverAction.tex) [28] [29] [30] Chapter 5. 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[266 <./classcaffe_1_1XavierFiller.pdf>]) [267] [268] (./refman.ind [269] [270] [271] [272] [273] [274] [275] [276]) (./refman.aux) LaTeX Font Warning: Some font shapes were not available, defaults substituted. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on refman.pdf (298 pages, 1516940 bytes). Transcript written on refman.log. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/doxygen/latex' find docs -name '.gitignore' -delete # lintian vcs-control-file find docs -name '*.html' -exec sed -i -e "s@http://cdn.mathjax.org/mathjax/latest/MathJax.js@file:///usr/share/javascript/mathjax/MathJax.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/js/bootstrap.min.js@file:///usr/share/javascript/bootstrap/js/bootstrap.min.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css@file:///usr/share/javascript/bootstrap/css/bootstrap.min.css@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//code.jquery.com/jquery-2.1.1.js@file:///usr/share/javascript/jquery/jquery.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_test-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ cd caffe_cpu_build && make -j10 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j10 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 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'/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/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 gtest [ 2%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997 && /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* Note: Randomizing tests' orders with a seed of 1030 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (2 ms) [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (201 ms) [----------] 3 tests from BatchNormLayerTest/0 (204 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (32 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (9 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (41 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (2 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (6 ms) [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (1 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (2 ms) [----------] 9 tests from AccuracyLayerTest/0 (13 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [ RUN ] ConstantFillerTest/0.TestFill5D [ OK ] ConstantFillerTest/0.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill2D [ OK ] ConstantFillerTest/0.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from ConstantFillerTest/0 (0 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (16 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (1 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (5 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (55 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (40 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (65 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (16 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (23 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (14 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (26 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (16 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (3 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (13 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (14 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (10 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (8 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (2 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (43 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (16 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (16 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (15 ms) [----------] 26 tests from NetTest/1 (425 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (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.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (7 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [----------] 12 tests from DataTransformTest/1 (8 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double [ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/1 (1 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (1 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (5 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (6 ms total) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (135 ms) [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/0 (135 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (522 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (799 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (2 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (21 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (714 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (7 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (90 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (24 ms) [----------] 15 tests from ConvolutionLayerTest/0 (2181 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) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (471 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (284 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (1772 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [----------] 11 tests from CropLayerTest/1 (2528 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (18 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (143 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (132 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (182 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (306 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (135 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (104 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (98 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (31 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (203 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (147 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (194 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (186 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (27 ms) [----------] 14 tests from DataLayerTest/1 (1909 ms total) [----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/0.TestInfogainLoss [ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) [ RUN ] InfogainLossLayerTest/0.TestGradient [ OK ] InfogainLossLayerTest/0.TestGradient (4 ms) [----------] 2 tests from InfogainLossLayerTest/0 (4 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [----------] 4 tests from BlobSimpleTest/0 (0 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (3 ms) [----------] 27 tests from ReductionLayerTest/1 (23 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1556 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (1434 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1739 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [----------] 8 tests from LRNLayerTest/1 (4730 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (35 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (17 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (13 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (5 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (6 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (5 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (7 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (14 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (4 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (25 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (6 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (21 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (4 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (16 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (12 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (7 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (9 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (18 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (14 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (6 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (7 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (18 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (4 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (6 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (3 ms) [----------] 26 tests from IOTest (282 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (379 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (130 ms) [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (370 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [----------] 6 tests from MVNLayerTest/1 (879 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (348 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (313 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (661 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (1 ms) [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from UniformFillerTest/1 (1 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (243 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (66 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (115 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (25 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (67 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (40 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (48 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (110 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (99 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (331 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (201 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (1346 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (300 ms) [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [----------] 5 tests from BenchmarkTest/0 (600 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (11 ms) [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (45 ms) [----------] 2 tests from HDF5DataLayerTest/0 (56 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [----------] 3 tests from BlobMathTest/0 (0 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (218 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (78 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (126 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (32 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (277 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (111 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (20 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (137 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (48 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (60 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (189 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (463 ms) [----------] 12 tests from SGDSolverTest/1 (1759 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (2785 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (2027 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (350 ms) [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (372 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (868 ms) [----------] 5 tests from DBTest/0 (6402 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (4 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (1 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (1 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) [----------] 8 tests from SplitLayerInsertionTest (9 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (33 ms) [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (6 ms) [----------] 2 tests from HDF5DataLayerTest/1 (39 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (1079 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (317 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (1955 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (269 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (652 ms) [----------] 8 tests from Im2colLayerTest/1 (4272 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (49 ms) [----------] 1 test from SolverTest/1 (49 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (86 ms) [----------] 1 test from HDF5OutputLayerTest/1 (86 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1087 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (776 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (839 ms) [----------] 8 tests from LRNLayerTest/0 (2702 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (1 ms) [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (0 ms) [----------] 4 tests from UniformFillerTest/0 (1 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (192 ms) [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (132 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (176 ms) [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (136 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (198 ms) [----------] 5 tests from ImageDataLayerTest/1 (836 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (57 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (16 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (1 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (39 ms) [----------] 8 tests from SliceLayerTest/0 (114 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (40 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (46 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (15 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [----------] 8 tests from SliceLayerTest/1 (101 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (3 ms) [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (44 ms) [----------] 5 tests from MemoryDataLayerTest/0 (50 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (0 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (292 ms) [----------] 3 tests from FilterLayerTest/1 (292 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (12 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (17 ms) [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [----------] 5 tests from EmbedLayerTest/1 (29 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) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ 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) [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (0 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (1 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (153 ms) [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (172 ms) [----------] 9 tests from InnerProductLayerTest/1 (326 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (301 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (308 ms) [----------] 5 tests from BenchmarkTest/1 (609 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (116 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (103 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (102 ms) [----------] 6 tests from MSRAFillerTest/1 (321 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (0 ms) [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (1 ms) [----------] 2 tests from InternalThreadTest (1 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float [ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup [ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (106 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (276 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (52 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (220 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (104 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (257 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (215 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (40 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (569 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (146 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (18 ms) [----------] 12 tests from SGDSolverTest/0 (2007 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill1D [ OK ] GaussianFillerTest/1.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (0 ms) [ RUN ] GaussianFillerTest/1.TestFill5D [ OK ] GaussianFillerTest/1.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from GaussianFillerTest/1 (2 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (3 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (42 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (62 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (15 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (2 ms) [----------] 12 tests from ArgMaxLayerTest/1 (132 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (713 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (846 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (1147 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (285 ms) [----------] 11 tests from PoolingLayerTest/0 (2991 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (15 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (71 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (215 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (64 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (121 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (22 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (23 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (168 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (205 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (38 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (201 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (146 ms) [----------] 12 tests from NesterovSolverTest/1 (1289 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (1 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (1 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (1 ms) [----------] 20 tests from FilterNetTest (5 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (3652 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (1 ms) [----------] 5 tests from SPPLayerTest/1 (3653 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (288 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (48 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (273 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (157 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (157 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (54 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (23 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (148 ms) [----------] 8 tests from RMSPropSolverTest/1 (1148 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (6 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (5 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (7 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (6 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (8 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (7 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (7 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (48 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (9 ms) [ RUN ] SplitLayerTest/1.Test [ OK ] SplitLayerTest/1.Test (0 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/1 (9 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (85 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (85 ms) [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (84 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [----------] 6 tests from MSRAFillerTest/0 (255 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (1288 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (920 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (728 ms) [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (265 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [----------] 11 tests from PoolingLayerTest/1 (3202 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (2 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [----------] 9 tests from AccuracyLayerTest/1 (7 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (38 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (337 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (258 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (48 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (214 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (59 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (146 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [----------] 8 tests from AdamSolverTest/1 (1103 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (107 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (149 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (59 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (328 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (279 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (49 ms) [----------] 8 tests from AdamSolverTest/0 (1000 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (227 ms) [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [----------] 3 tests from BatchNormLayerTest/1 (227 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (0 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (133 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (2 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (8 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (4 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (3 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (1 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (127 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [----------] 58 tests from NeuronLayerTest/0 (353 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (1 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (4 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (4 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (1 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (4 ms) [----------] 10 tests from PowerLayerTest/0 (20 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (120 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (446 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (94 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (260 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (8 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (134 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (103 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (92 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (131 ms) [----------] 22 tests from ScaleLayerTest/1 (1388 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (61 ms) [----------] 1 test from LayerFactoryTest/1 (61 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (11 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (9 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (8 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (5 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (6 ms) [----------] 10 tests from EltwiseLayerTest/1 (39 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (56 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (308 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (296 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (61 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (120 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (317 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (13 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (122 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (27 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (237 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (96 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (1654 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (5 ms) [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (1 ms) [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (2 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (102 ms) [----------] 4 tests from NetUpgradeTest (110 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (255 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (103 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (142 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (105 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (120 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (136 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (6 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (389 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (112 ms) [----------] 22 tests from ScaleLayerTest/0 (1370 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (1031 ms) [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (382 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (732 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (321 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (2188 ms) [----------] 8 tests from Im2colLayerTest/0 (4654 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (122 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (323 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (323 ms) [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [----------] 6 tests from MVNLayerTest/0 (768 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (72 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (366 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (14 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (719 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (97 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (96 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (4306 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (367 ms) [----------] 9 tests from LSTMLayerTest/1 (6037 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (3 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (43 ms) [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (1 ms) [----------] 5 tests from MemoryDataLayerTest/1 (48 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (47 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (171 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (177 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (298 ms) [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (243 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1587 ms) [----------] 6 tests from RNNLayerTest/1 (2523 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (11 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (12 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (11 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (35 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (2727 ms) [----------] 5 tests from SPPLayerTest/0 (2728 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/0 (0 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (43 ms) [----------] 1 test from HDF5OutputLayerTest/0 (43 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (1 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (14 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (10 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (1 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (11 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (8 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (9 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (7 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (6 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (8 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (12 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (12 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (8 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (138 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (1 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (6 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (6 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (7 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (7 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (132 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (7 ms) [----------] 58 tests from NeuronLayerTest/1 (442 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (1838 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (0 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (287 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (475 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [----------] 11 tests from CropLayerTest/0 (2600 ms total) [----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/1.TestGradientL2 [ OK ] HingeLossLayerTest/1.TestGradientL2 (1 ms) [ RUN ] HingeLossLayerTest/1.TestGradientL1 [ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) [----------] 2 tests from HingeLossLayerTest/1 (1 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (0 ms) [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (125 ms) [----------] 2 tests from BatchReindexLayerTest/1 (125 ms total) [----------] 2 tests from CommonTest [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (0 ms) [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [----------] 2 tests from CommonTest (0 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (280 ms) [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) [----------] 3 tests from FilterLayerTest/0 (281 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (300 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1530 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (1000 ms) [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (2830 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (4 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (5 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (5 ms) [----------] 6 tests from FlattenLayerTest/0 (5 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (8 ms) [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/0 (8 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (687 ms) [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (91 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (157 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (279 ms) [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (215 ms) [----------] 5 tests from DBTest/1 (1429 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (27 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (111 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (242 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (35 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (39 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (70 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (174 ms) [----------] 9 tests from AdaGradSolverTest/0 (705 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (35 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (86 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (118 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (138 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (22 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (22 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (157 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [----------] 9 tests from AdaGradSolverTest/1 (587 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (1 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (325 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (303 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (630 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (0 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (2 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (59 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (2 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (36 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (13 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [----------] 12 tests from ArgMaxLayerTest/0 (119 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (1 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (11 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (12 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (5 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (5 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [----------] 10 tests from PowerLayerTest/1 (39 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (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.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [----------] 27 tests from ReductionLayerTest/0 (16 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (32 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (606 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (9 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (794 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (22 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (91 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (804 ms) [----------] 15 tests from ConvolutionLayerTest/1 (2362 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) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (114 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (185 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (1 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (123 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (5 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (139 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (1 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (100 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (94 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (217 ms) [----------] 20 tests from BiasLayerTest/1 (980 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (46 ms) [----------] 1 test from SolverTest/0 (46 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (1 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (7 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (4 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (6 ms) [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (9 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [----------] 10 tests from ConcatLayerTest/0 (27 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/1, where TypeParam = double [ RUN ] CPUStochasticPoolingLayerTest/1.TestSetup [ OK ] CPUStochasticPoolingLayerTest/1.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/1 (0 ms total) [----------] 3 tests from SyncedMemoryTest [ RUN ] SyncedMemoryTest.TestAllocationCPU [ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) [ RUN ] SyncedMemoryTest.TestInitialization [ OK ] SyncedMemoryTest.TestInitialization (0 ms) [ RUN ] SyncedMemoryTest.TestCPUWrite [ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) [----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/1.TestGradient [ OK ] InfogainLossLayerTest/1.TestGradient (4 ms) [ RUN ] InfogainLossLayerTest/1.TestInfogainLoss [ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/1 (4 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (14 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (17 ms) [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [----------] 5 tests from EmbedLayerTest/0 (31 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (3 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (6 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (4 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (1 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (3 ms) [----------] 10 tests from ConcatLayerTest/1 (17 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (7 ms) [----------] 3 tests from TanHLayerTest/0 (7 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (223 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (118 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (200 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (23 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (143 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (396 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (443 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (133 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (141 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (6 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (114 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (105 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (136 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (60 ms) [----------] 14 tests from DataLayerTest/0 (2242 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (1 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (8 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (179 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (155 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (152 ms) [----------] 6 tests from XavierFillerTest/1 (486 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (57 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (32 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (256 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (48 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (142 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (27 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (41 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (167 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (59 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (393 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (71 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (151 ms) [----------] 12 tests from NesterovSolverTest/0 (1445 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill5D [ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (1 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [----------] 12 tests from DataTransformTest/0 (2 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (0 ms) [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (479 ms) [----------] 2 tests from SoftmaxLayerTest/1 (479 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1329 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (826 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (295 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (2451 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (4 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (6 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (218 ms) [----------] 1 test from LayerFactoryTest/0 (218 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (167 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (161 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [----------] 9 tests from InnerProductLayerTest/0 (329 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (0 ms) [----------] 4 tests from GaussianFillerTest/0 (1 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (27 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (27 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (26 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (81 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (7 ms) [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [----------] 3 tests from TanHLayerTest/1 (7 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (1 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) [----------] 2 tests from HingeLossLayerTest/0 (1 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (83 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (284 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (0 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (299 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [----------] 7 tests from TileLayerTest/1 (666 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (153 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (154 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (154 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [----------] 6 tests from XavierFillerTest/0 (461 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (1 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (7 ms) [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (5 ms) [----------] 10 tests from EltwiseLayerTest/0 (28 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (17 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (23 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (16 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (97 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (16 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (100 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (3 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (17 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (23 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (2 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (98 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (64 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (19 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (25 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (35 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (24 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (17 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (15 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (23 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (25 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (23 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (17 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (31 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (2 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (21 ms) [----------] 26 tests from NetTest/0 (756 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (1 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) [----------] 1 test from SolverTypeUpgradeTest (1 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (96 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (261 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (293 ms) [----------] 7 tests from TileLayerTest/0 (651 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (74 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (4050 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (208 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (692 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (76 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (24 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (367 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (359 ms) [----------] 9 tests from LSTMLayerTest/0 (5850 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (11 ms) [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (14 ms) [----------] 2 tests from BilinearFillerTest/1 (25 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (35 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (175 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (125 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (67 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (35 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (216 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (31 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (131 ms) [----------] 8 tests from RMSPropSolverTest/0 (815 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (258 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (118 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (118 ms) [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (2 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1241 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (148 ms) [----------] 6 tests from RNNLayerTest/0 (1886 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (214 ms) [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (1 ms) [----------] 2 tests from SoftmaxLayerTest/0 (215 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (6 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (5 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (4 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (29 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (2 ms) [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) [----------] 3 tests from PaddingLayerUpgradeTest (3 ms total) [----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/1.TestCreateSolver [ OK ] SolverFactoryTest/1.TestCreateSolver (29 ms) [----------] 1 test from SolverFactoryTest/1 (29 ms total) [----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/0.TestForward [ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) [ RUN ] EuclideanLossLayerTest/0.TestGradient [ OK ] EuclideanLossLayerTest/0.TestGradient (2 ms) [----------] 2 tests from EuclideanLossLayerTest/0 (2 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (2 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (2 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (2 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (2 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (14 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (17 ms) [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (11 ms) [----------] 2 tests from BilinearFillerTest/0 (28 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (90 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (136 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (94 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (1 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (103 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (4 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (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.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (206 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (102 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (89 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [----------] 20 tests from BiasLayerTest/0 (827 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (177 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (165 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (283 ms) [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (283 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (321 ms) [----------] 5 tests from ImageDataLayerTest/0 (1231 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (107517 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 I0615 16:08:26.070854 15946 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0615 16:08:26.070922 15946 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I0615 16:08:26.070946 15946 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0615 16:08:26.071040 15946 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I0615 16:08:26.071051 15946 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" } } I0615 16:08:26.071138 15946 layer_factory.hpp:77] Creating layer deploy_data I0615 16:08:26.071168 15946 net.cpp:86] Creating Layer deploy_data I0615 16:08:26.071179 15946 net.cpp:382] deploy_data -> data I0615 16:08:26.071626 15946 net.cpp:124] Setting up deploy_data I0615 16:08:26.071653 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.071666 15946 net.cpp:139] Memory required for data: 400 I0615 16:08:26.071676 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.071689 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.071697 15946 net.cpp:408] ip <- data I0615 16:08:26.071708 15946 net.cpp:382] ip -> ip I0615 16:08:26.071746 15946 net.cpp:124] Setting up ip I0615 16:08:26.071755 15946 net.cpp:131] Top shape: 1 2 (2) I0615 16:08:26.071764 15946 net.cpp:139] Memory required for data: 408 I0615 16:08:26.071791 15946 layer_factory.hpp:77] Creating layer pred I0615 16:08:26.071805 15946 net.cpp:86] Creating Layer pred I0615 16:08:26.071813 15946 net.cpp:408] pred <- ip I0615 16:08:26.071825 15946 net.cpp:382] pred -> pred I0615 16:08:26.071848 15946 net.cpp:124] Setting up pred I0615 16:08:26.071857 15946 net.cpp:131] Top shape: 1 2 (2) I0615 16:08:26.071867 15946 net.cpp:139] Memory required for data: 416 I0615 16:08:26.071875 15946 net.cpp:202] pred does not need backward computation. I0615 16:08:26.071884 15946 net.cpp:202] ip does not need backward computation. I0615 16:08:26.071892 15946 net.cpp:202] deploy_data does not need backward computation. I0615 16:08:26.071899 15946 net.cpp:244] This network produces output pred I0615 16:08:26.071909 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.086644 15946 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I0615 16:08:26.086670 15946 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I0615 16:08:26.086683 15946 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I0615 16:08:26.086691 15946 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" } } I0615 16:08:26.086793 15946 layer_factory.hpp:77] Creating layer train_data I0615 16:08:26.086824 15946 net.cpp:86] Creating Layer train_data I0615 16:08:26.086838 15946 net.cpp:382] train_data -> data I0615 16:08:26.086863 15946 net.cpp:382] train_data -> label I0615 16:08:26.086894 15946 net.cpp:124] Setting up train_data I0615 16:08:26.086905 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.086916 15946 net.cpp:131] Top shape: 1 1 1 1 (1) I0615 16:08:26.086926 15946 net.cpp:139] Memory required for data: 404 I0615 16:08:26.086935 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.086947 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.086956 15946 net.cpp:408] ip <- data I0615 16:08:26.086967 15946 net.cpp:382] ip -> ip I0615 16:08:26.086992 15946 net.cpp:124] Setting up ip I0615 16:08:26.087002 15946 net.cpp:131] Top shape: 1 2 (2) I0615 16:08:26.087010 15946 net.cpp:139] Memory required for data: 412 I0615 16:08:26.087030 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.087044 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.087054 15946 net.cpp:408] loss <- ip I0615 16:08:26.087061 15946 net.cpp:408] loss <- label I0615 16:08:26.087074 15946 net.cpp:382] loss -> loss I0615 16:08:26.087098 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.087126 15946 net.cpp:124] Setting up loss I0615 16:08:26.087133 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.087142 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.087172 15946 net.cpp:139] Memory required for data: 416 I0615 16:08:26.087182 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.087193 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.087200 15946 net.cpp:202] train_data does not need backward computation. I0615 16:08:26.087230 15946 net.cpp:244] This network produces output loss I0615 16:08:26.087242 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.092954 15946 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0615 16:08:26.092985 15946 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I0615 16:08:26.093000 15946 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0615 16:08:26.093014 15946 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I0615 16:08:26.093026 15946 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" } } I0615 16:08:26.093154 15946 layer_factory.hpp:77] Creating layer val_data I0615 16:08:26.093179 15946 net.cpp:86] Creating Layer val_data I0615 16:08:26.093196 15946 net.cpp:382] val_data -> data I0615 16:08:26.093225 15946 net.cpp:382] val_data -> label I0615 16:08:26.093268 15946 net.cpp:124] Setting up val_data I0615 16:08:26.093327 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.093344 15946 net.cpp:131] Top shape: 1 1 1 1 (1) I0615 16:08:26.093358 15946 net.cpp:139] Memory required for data: 404 I0615 16:08:26.093369 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.093387 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.093400 15946 net.cpp:408] ip <- data I0615 16:08:26.093413 15946 net.cpp:382] ip -> ip I0615 16:08:26.093446 15946 net.cpp:124] Setting up ip I0615 16:08:26.093458 15946 net.cpp:131] Top shape: 1 2 (2) I0615 16:08:26.093472 15946 net.cpp:139] Memory required for data: 412 I0615 16:08:26.093497 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.093516 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.093528 15946 net.cpp:408] loss <- ip I0615 16:08:26.093540 15946 net.cpp:408] loss <- label I0615 16:08:26.093559 15946 net.cpp:382] loss -> loss I0615 16:08:26.093581 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.093639 15946 net.cpp:124] Setting up loss I0615 16:08:26.093652 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.093664 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.093688 15946 net.cpp:139] Memory required for data: 416 I0615 16:08:26.093700 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.093713 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.093725 15946 net.cpp:202] val_data does not need backward computation. I0615 16:08:26.093735 15946 net.cpp:244] This network produces output loss I0615 16:08:26.093751 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.100780 15946 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I0615 16:08:26.100811 15946 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I0615 16:08:26.100823 15946 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 } } I0615 16:08:26.101027 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.101048 15946 net.cpp:86] Creating Layer data I0615 16:08:26.101063 15946 net.cpp:382] data -> data I0615 16:08:26.101102 15946 net.cpp:124] Setting up data I0615 16:08:26.101115 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.101130 15946 net.cpp:139] Memory required for data: 400 I0615 16:08:26.101141 15946 layer_factory.hpp:77] Creating layer data_data_0_split I0615 16:08:26.101159 15946 net.cpp:86] Creating Layer data_data_0_split I0615 16:08:26.101171 15946 net.cpp:408] data_data_0_split <- data I0615 16:08:26.101188 15946 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0615 16:08:26.101207 15946 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0615 16:08:26.101228 15946 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0615 16:08:26.101253 15946 net.cpp:124] Setting up data_data_0_split I0615 16:08:26.101263 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.101277 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.101291 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.101305 15946 net.cpp:139] Memory required for data: 1600 I0615 16:08:26.101315 15946 layer_factory.hpp:77] Creating layer NoLevel I0615 16:08:26.101331 15946 net.cpp:86] Creating Layer NoLevel I0615 16:08:26.101342 15946 net.cpp:408] NoLevel <- data_data_0_split_0 I0615 16:08:26.101357 15946 net.cpp:382] NoLevel -> NoLevel I0615 16:08:26.101390 15946 net.cpp:124] Setting up NoLevel I0615 16:08:26.101402 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.101414 15946 net.cpp:139] Memory required for data: 1604 I0615 16:08:26.101439 15946 layer_factory.hpp:77] Creating layer Level0Only I0615 16:08:26.101464 15946 net.cpp:86] Creating Layer Level0Only I0615 16:08:26.101475 15946 net.cpp:408] Level0Only <- data_data_0_split_1 I0615 16:08:26.101490 15946 net.cpp:382] Level0Only -> Level0Only I0615 16:08:26.101521 15946 net.cpp:124] Setting up Level0Only I0615 16:08:26.101531 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.101544 15946 net.cpp:139] Memory required for data: 1608 I0615 16:08:26.101563 15946 layer_factory.hpp:77] Creating layer Level>=0 I0615 16:08:26.101583 15946 net.cpp:86] Creating Layer Level>=0 I0615 16:08:26.101594 15946 net.cpp:408] Level>=0 <- data_data_0_split_2 I0615 16:08:26.101610 15946 net.cpp:382] Level>=0 -> Level>=0 I0615 16:08:26.101637 15946 net.cpp:124] Setting up Level>=0 I0615 16:08:26.101649 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.101661 15946 net.cpp:139] Memory required for data: 1612 I0615 16:08:26.101686 15946 net.cpp:202] Level>=0 does not need backward computation. I0615 16:08:26.101698 15946 net.cpp:202] Level0Only does not need backward computation. I0615 16:08:26.101709 15946 net.cpp:202] NoLevel does not need backward computation. I0615 16:08:26.101722 15946 net.cpp:202] data_data_0_split does not need backward computation. I0615 16:08:26.101733 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.101743 15946 net.cpp:244] This network produces output Level0Only I0615 16:08:26.101754 15946 net.cpp:244] This network produces output Level>=0 I0615 16:08:26.101764 15946 net.cpp:244] This network produces output NoLevel I0615 16:08:26.101785 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.108824 15946 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I0615 16:08:26.108888 15946 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 } } I0615 16:08:26.109127 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.109149 15946 net.cpp:86] Creating Layer data I0615 16:08:26.109165 15946 net.cpp:382] data -> data I0615 16:08:26.109203 15946 net.cpp:124] Setting up data I0615 16:08:26.109217 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.109230 15946 net.cpp:139] Memory required for data: 400 I0615 16:08:26.109242 15946 layer_factory.hpp:77] Creating layer data_data_0_split I0615 16:08:26.109263 15946 net.cpp:86] Creating Layer data_data_0_split I0615 16:08:26.109277 15946 net.cpp:408] data_data_0_split <- data I0615 16:08:26.109333 15946 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0615 16:08:26.109355 15946 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0615 16:08:26.109376 15946 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0615 16:08:26.109396 15946 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0615 16:08:26.109422 15946 net.cpp:124] Setting up data_data_0_split I0615 16:08:26.109433 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.109447 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.109460 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.109473 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.109486 15946 net.cpp:139] Memory required for data: 2000 I0615 16:08:26.109496 15946 layer_factory.hpp:77] Creating layer NoLevel I0615 16:08:26.109513 15946 net.cpp:86] Creating Layer NoLevel I0615 16:08:26.109524 15946 net.cpp:408] NoLevel <- data_data_0_split_0 I0615 16:08:26.109539 15946 net.cpp:382] NoLevel -> NoLevel I0615 16:08:26.109570 15946 net.cpp:124] Setting up NoLevel I0615 16:08:26.109581 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.109594 15946 net.cpp:139] Memory required for data: 2004 I0615 16:08:26.109618 15946 layer_factory.hpp:77] Creating layer Level1Only I0615 16:08:26.109634 15946 net.cpp:86] Creating Layer Level1Only I0615 16:08:26.109645 15946 net.cpp:408] Level1Only <- data_data_0_split_1 I0615 16:08:26.109661 15946 net.cpp:382] Level1Only -> Level1Only I0615 16:08:26.109689 15946 net.cpp:124] Setting up Level1Only I0615 16:08:26.109700 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.109712 15946 net.cpp:139] Memory required for data: 2008 I0615 16:08:26.109732 15946 layer_factory.hpp:77] Creating layer Level>=0 I0615 16:08:26.109748 15946 net.cpp:86] Creating Layer Level>=0 I0615 16:08:26.109760 15946 net.cpp:408] Level>=0 <- data_data_0_split_2 I0615 16:08:26.109776 15946 net.cpp:382] Level>=0 -> Level>=0 I0615 16:08:26.109802 15946 net.cpp:124] Setting up Level>=0 I0615 16:08:26.109813 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.109825 15946 net.cpp:139] Memory required for data: 2012 I0615 16:08:26.109845 15946 layer_factory.hpp:77] Creating layer Level>=1 I0615 16:08:26.109865 15946 net.cpp:86] Creating Layer Level>=1 I0615 16:08:26.109876 15946 net.cpp:408] Level>=1 <- data_data_0_split_3 I0615 16:08:26.109894 15946 net.cpp:382] Level>=1 -> Level>=1 I0615 16:08:26.109921 15946 net.cpp:124] Setting up Level>=1 I0615 16:08:26.109935 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.109947 15946 net.cpp:139] Memory required for data: 2016 I0615 16:08:26.109963 15946 net.cpp:202] Level>=1 does not need backward computation. I0615 16:08:26.109974 15946 net.cpp:202] Level>=0 does not need backward computation. I0615 16:08:26.109987 15946 net.cpp:202] Level1Only does not need backward computation. I0615 16:08:26.109997 15946 net.cpp:202] NoLevel does not need backward computation. I0615 16:08:26.110009 15946 net.cpp:202] data_data_0_split does not need backward computation. I0615 16:08:26.110021 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.110030 15946 net.cpp:244] This network produces output Level1Only I0615 16:08:26.110041 15946 net.cpp:244] This network produces output Level>=0 I0615 16:08:26.110052 15946 net.cpp:244] This network produces output Level>=1 I0615 16:08:26.110064 15946 net.cpp:244] This network produces output NoLevel I0615 16:08:26.110085 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.116709 15946 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" } I0615 16:08:26.116888 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.116909 15946 net.cpp:86] Creating Layer data I0615 16:08:26.116922 15946 net.cpp:382] data -> data I0615 16:08:26.116945 15946 net.cpp:382] data -> label I0615 16:08:26.116971 15946 net.cpp:124] Setting up data I0615 16:08:26.116981 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.116994 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.117005 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.117014 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.117036 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.117046 15946 net.cpp:408] conv <- data I0615 16:08:26.117061 15946 net.cpp:382] conv -> conv I0615 16:08:26.117190 15946 net.cpp:124] Setting up conv I0615 16:08:26.117200 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.117211 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.117231 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.117246 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.117256 15946 net.cpp:408] ip <- conv I0615 16:08:26.117269 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.117599 15946 net.cpp:124] Setting up ip I0615 16:08:26.117609 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.117619 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.117637 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.117650 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.117660 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.117669 15946 net.cpp:408] loss <- label I0615 16:08:26.117681 15946 net.cpp:382] loss -> loss I0615 16:08:26.117697 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.117722 15946 net.cpp:124] Setting up loss I0615 16:08:26.117731 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.117745 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.117760 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.117769 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.117780 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.117790 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.117799 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.117810 15946 net.cpp:244] This network produces output loss I0615 16:08:26.117823 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.128685 15946 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" } I0615 16:08:26.128870 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.128891 15946 net.cpp:86] Creating Layer data I0615 16:08:26.128906 15946 net.cpp:382] data -> data I0615 16:08:26.128932 15946 net.cpp:382] data -> label I0615 16:08:26.128962 15946 net.cpp:124] Setting up data I0615 16:08:26.128973 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.128986 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.128998 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.129007 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.129027 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.129037 15946 net.cpp:408] conv <- data I0615 16:08:26.129053 15946 net.cpp:382] conv -> conv I0615 16:08:26.129104 15946 net.cpp:124] Setting up conv I0615 16:08:26.129114 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.129125 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.129148 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.129163 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.129173 15946 net.cpp:408] ip <- conv I0615 16:08:26.129186 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.129499 15946 net.cpp:124] Setting up ip I0615 16:08:26.129509 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.129519 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.129536 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.129549 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.129559 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.129568 15946 net.cpp:408] loss <- label I0615 16:08:26.129581 15946 net.cpp:382] loss -> loss I0615 16:08:26.129598 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.129623 15946 net.cpp:124] Setting up loss I0615 16:08:26.129632 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.129642 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.129657 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.129667 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.129678 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.129686 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.129696 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.129705 15946 net.cpp:244] This network produces output loss I0615 16:08:26.129719 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.136732 15946 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" } I0615 16:08:26.136931 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.136955 15946 net.cpp:86] Creating Layer data I0615 16:08:26.136973 15946 net.cpp:382] data -> data I0615 16:08:26.137001 15946 net.cpp:382] data -> label I0615 16:08:26.137033 15946 net.cpp:124] Setting up data I0615 16:08:26.137044 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.137061 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.137074 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.137086 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.137110 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.137121 15946 net.cpp:408] conv <- data I0615 16:08:26.137140 15946 net.cpp:382] conv -> conv I0615 16:08:26.137202 15946 net.cpp:124] Setting up conv I0615 16:08:26.137213 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.137226 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.137251 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.137269 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.137280 15946 net.cpp:408] ip <- conv I0615 16:08:26.137295 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.137675 15946 net.cpp:124] Setting up ip I0615 16:08:26.137687 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.137701 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.137720 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.137737 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.137748 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.137759 15946 net.cpp:408] loss <- label I0615 16:08:26.137773 15946 net.cpp:382] loss -> loss I0615 16:08:26.137794 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.137825 15946 net.cpp:124] Setting up loss I0615 16:08:26.137835 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.137848 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.137866 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.137876 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.137889 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.137900 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.137912 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.137923 15946 net.cpp:244] This network produces output loss I0615 16:08:26.137940 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.144708 15946 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" } I0615 16:08:26.144919 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.144944 15946 net.cpp:86] Creating Layer data I0615 16:08:26.144963 15946 net.cpp:382] data -> data I0615 16:08:26.144990 15946 net.cpp:382] data -> label I0615 16:08:26.145023 15946 net.cpp:124] Setting up data I0615 16:08:26.145035 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.145051 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.145066 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.145076 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.145099 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.145112 15946 net.cpp:408] conv <- data I0615 16:08:26.145157 15946 net.cpp:382] conv -> conv I0615 16:08:26.145218 15946 net.cpp:124] Setting up conv I0615 16:08:26.145231 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.145244 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.145269 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.145288 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.145299 15946 net.cpp:408] ip <- conv I0615 16:08:26.145314 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.145695 15946 net.cpp:124] Setting up ip I0615 16:08:26.145706 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.145720 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.145740 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.145756 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.145766 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.145778 15946 net.cpp:408] loss <- label I0615 16:08:26.145792 15946 net.cpp:382] loss -> loss I0615 16:08:26.145812 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.145843 15946 net.cpp:124] Setting up loss I0615 16:08:26.145854 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.145866 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.145884 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.145895 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.145907 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.145918 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.145931 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.145941 15946 net.cpp:244] This network produces output loss I0615 16:08:26.145957 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.157574 15946 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" } I0615 16:08:26.157991 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.158016 15946 net.cpp:86] Creating Layer data I0615 16:08:26.158032 15946 net.cpp:382] data -> data I0615 16:08:26.158057 15946 net.cpp:382] data -> label I0615 16:08:26.158087 15946 net.cpp:124] Setting up data I0615 16:08:26.158097 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.158138 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.158151 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.158161 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.158181 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.158191 15946 net.cpp:408] conv <- data I0615 16:08:26.158210 15946 net.cpp:382] conv -> conv I0615 16:08:26.158277 15946 net.cpp:124] Setting up conv I0615 16:08:26.158288 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.158298 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.158319 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.158335 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.158344 15946 net.cpp:408] ip <- conv I0615 16:08:26.158360 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.158694 15946 net.cpp:124] Setting up ip I0615 16:08:26.158704 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.158715 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.158730 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.158744 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.158753 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.158763 15946 net.cpp:408] loss <- label I0615 16:08:26.158776 15946 net.cpp:382] loss -> loss I0615 16:08:26.158792 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.158818 15946 net.cpp:124] Setting up loss I0615 16:08:26.158828 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.158838 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.158854 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.158862 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.158874 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.158882 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.158892 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.158901 15946 net.cpp:244] This network produces output loss I0615 16:08:26.158915 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.165383 15946 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" } I0615 16:08:26.165585 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.165607 15946 net.cpp:86] Creating Layer data I0615 16:08:26.165622 15946 net.cpp:382] data -> data I0615 16:08:26.165647 15946 net.cpp:382] data -> label I0615 16:08:26.165675 15946 net.cpp:124] Setting up data I0615 16:08:26.165686 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.165699 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.165709 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.165719 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.165738 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.165748 15946 net.cpp:408] conv <- data I0615 16:08:26.165763 15946 net.cpp:382] conv -> conv I0615 16:08:26.165814 15946 net.cpp:124] Setting up conv I0615 16:08:26.165824 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.165835 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.165855 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.165871 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.165880 15946 net.cpp:408] ip <- conv I0615 16:08:26.165892 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.166208 15946 net.cpp:124] Setting up ip I0615 16:08:26.166216 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.166226 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.166244 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.166256 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.166265 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.166275 15946 net.cpp:408] loss <- label I0615 16:08:26.166287 15946 net.cpp:382] loss -> loss I0615 16:08:26.166304 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.166329 15946 net.cpp:124] Setting up loss I0615 16:08:26.166338 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.166348 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.166363 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.166371 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.166383 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.166391 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.166401 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.166410 15946 net.cpp:244] This network produces output loss I0615 16:08:26.166424 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.173009 15946 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" } I0615 16:08:26.173238 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.173259 15946 net.cpp:86] Creating Layer data I0615 16:08:26.173274 15946 net.cpp:382] data -> data I0615 16:08:26.173310 15946 net.cpp:382] data -> label I0615 16:08:26.173338 15946 net.cpp:124] Setting up data I0615 16:08:26.173349 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.173362 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.173372 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.173382 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.173400 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.173420 15946 net.cpp:408] conv <- data I0615 16:08:26.173436 15946 net.cpp:382] conv -> conv I0615 16:08:26.173488 15946 net.cpp:124] Setting up conv I0615 16:08:26.173498 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.173521 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.173542 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.173558 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.173568 15946 net.cpp:408] ip <- conv I0615 16:08:26.173579 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.173893 15946 net.cpp:124] Setting up ip I0615 16:08:26.173902 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.173913 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.173929 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.173943 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.173951 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.173960 15946 net.cpp:408] loss <- label I0615 16:08:26.173972 15946 net.cpp:382] loss -> loss I0615 16:08:26.173988 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.174015 15946 net.cpp:124] Setting up loss I0615 16:08:26.174023 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.174034 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.174048 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.174057 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.174067 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.174077 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.174086 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.174095 15946 net.cpp:244] This network produces output loss I0615 16:08:26.174108 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.181113 15946 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" } I0615 16:08:26.181318 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.181339 15946 net.cpp:86] Creating Layer data I0615 16:08:26.181366 15946 net.cpp:382] data -> data I0615 16:08:26.181391 15946 net.cpp:382] data -> label I0615 16:08:26.181422 15946 net.cpp:124] Setting up data I0615 16:08:26.181432 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.181445 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.181457 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.181466 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.181485 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.181495 15946 net.cpp:408] conv <- data I0615 16:08:26.181510 15946 net.cpp:382] conv -> conv I0615 16:08:26.181576 15946 net.cpp:124] Setting up conv I0615 16:08:26.181587 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.181598 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.181619 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.181634 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.181644 15946 net.cpp:408] ip <- conv I0615 16:08:26.181656 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.181988 15946 net.cpp:124] Setting up ip I0615 16:08:26.181998 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.182008 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.182024 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.182039 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.182047 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.182057 15946 net.cpp:408] loss <- label I0615 16:08:26.182070 15946 net.cpp:382] loss -> loss I0615 16:08:26.182086 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.182112 15946 net.cpp:124] Setting up loss I0615 16:08:26.182121 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.182132 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.182147 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.182155 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.182165 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.182174 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.182184 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.182193 15946 net.cpp:244] This network produces output loss I0615 16:08:26.182209 15946 net.cpp:257] Network initialization done. W0615 16:08:26.276690 15946 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W0615 16:08:26.276734 15946 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W0615 16:08:26.276752 15946 _caffe.cpp:142] Net('/tmp/tmp2vm5v84e', 0, weights='/tmp/tmpjxts3b94') I0615 16:08:26.277266 15946 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" } I0615 16:08:26.277559 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.277595 15946 net.cpp:86] Creating Layer data I0615 16:08:26.277617 15946 net.cpp:382] data -> data I0615 16:08:26.277653 15946 net.cpp:382] data -> label I0615 16:08:26.277700 15946 net.cpp:124] Setting up data I0615 16:08:26.277724 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.277750 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.277766 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.277781 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.277812 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.277827 15946 net.cpp:408] conv <- data I0615 16:08:26.277849 15946 net.cpp:382] conv -> conv I0615 16:08:26.277932 15946 net.cpp:124] Setting up conv I0615 16:08:26.277948 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.277966 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.277997 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.278020 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.278035 15946 net.cpp:408] ip <- conv I0615 16:08:26.278056 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.278548 15946 net.cpp:124] Setting up ip I0615 16:08:26.278563 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.278578 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.278604 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.278628 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.278642 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.278658 15946 net.cpp:408] loss <- label I0615 16:08:26.278677 15946 net.cpp:382] loss -> loss I0615 16:08:26.278703 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.278741 15946 net.cpp:124] Setting up loss I0615 16:08:26.278756 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.278772 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.278795 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.278810 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.278826 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.278841 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.278856 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.278870 15946 net.cpp:244] This network produces output loss I0615 16:08:26.278892 15946 net.cpp:257] Network initialization done. I0615 16:08:26.281977 15946 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" } I0615 16:08:26.282194 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.282223 15946 net.cpp:86] Creating Layer data I0615 16:08:26.282251 15946 net.cpp:382] data -> data I0615 16:08:26.282290 15946 net.cpp:382] data -> label I0615 16:08:26.282327 15946 net.cpp:124] Setting up data I0615 16:08:26.282343 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.282362 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.282379 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.282393 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.282420 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.282435 15946 net.cpp:408] conv <- data I0615 16:08:26.282457 15946 net.cpp:382] conv -> conv I0615 16:08:26.282519 15946 net.cpp:124] Setting up conv I0615 16:08:26.282536 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.282552 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.282582 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.282603 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.282618 15946 net.cpp:408] ip <- conv I0615 16:08:26.282636 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.283131 15946 net.cpp:124] Setting up ip I0615 16:08:26.283147 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.283164 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.283190 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.283210 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.283224 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.283241 15946 net.cpp:408] loss <- label I0615 16:08:26.283258 15946 net.cpp:382] loss -> loss I0615 16:08:26.283282 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.283316 15946 net.cpp:124] Setting up loss I0615 16:08:26.283331 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.283346 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.283366 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.283380 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.283396 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.283411 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.283427 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.283440 15946 net.cpp:244] This network produces output loss I0615 16:08:26.283459 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.336781 15946 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" } I0615 16:08:26.337020 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.337047 15946 net.cpp:86] Creating Layer data I0615 16:08:26.337066 15946 net.cpp:382] data -> data I0615 16:08:26.337096 15946 net.cpp:382] data -> label I0615 16:08:26.337132 15946 net.cpp:124] Setting up data I0615 16:08:26.337144 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.337165 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.337183 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.337198 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.337226 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.337239 15946 net.cpp:408] conv <- data I0615 16:08:26.337257 15946 net.cpp:382] conv -> conv I0615 16:08:26.337319 15946 net.cpp:124] Setting up conv I0615 16:08:26.337332 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.337345 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.337370 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.337389 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.337401 15946 net.cpp:408] ip <- conv I0615 16:08:26.337417 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.337803 15946 net.cpp:124] Setting up ip I0615 16:08:26.337815 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.337827 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.337848 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.337864 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.337877 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.337889 15946 net.cpp:408] loss <- label I0615 16:08:26.337904 15946 net.cpp:382] loss -> loss I0615 16:08:26.337925 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.337957 15946 net.cpp:124] Setting up loss I0615 16:08:26.337968 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.337981 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.337998 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.338011 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.338023 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.338034 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.338047 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.338058 15946 net.cpp:244] This network produces output loss I0615 16:08:26.338074 15946 net.cpp:257] Network initialization done. I0615 16:08:26.472805 15946 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" } I0615 16:08:26.473043 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.473068 15946 net.cpp:86] Creating Layer data I0615 16:08:26.473084 15946 net.cpp:382] data -> data I0615 16:08:26.473115 15946 net.cpp:382] data -> label I0615 16:08:26.473150 15946 net.cpp:124] Setting up data I0615 16:08:26.473161 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.473177 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.473191 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.473202 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.473222 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.473233 15946 net.cpp:408] conv <- data I0615 16:08:26.473250 15946 net.cpp:382] conv -> conv I0615 16:08:26.473304 15946 net.cpp:124] Setting up conv I0615 16:08:26.473315 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.473327 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.473352 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.473371 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.473382 15946 net.cpp:408] ip <- conv I0615 16:08:26.473397 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.473779 15946 net.cpp:124] Setting up ip I0615 16:08:26.473790 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.473803 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.473821 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.473836 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.473847 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.473860 15946 net.cpp:408] loss <- label I0615 16:08:26.473873 15946 net.cpp:382] loss -> loss I0615 16:08:26.473892 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.473922 15946 net.cpp:124] Setting up loss I0615 16:08:26.473933 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.473948 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.473971 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.473984 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.473999 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.474010 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.474022 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.474035 15946 net.cpp:244] This network produces output loss I0615 16:08:26.474050 15946 net.cpp:257] Network initialization done. I0615 16:08:26.474901 15946 hdf5.cpp:33] Datatype class: H5T_FLOAT .I0615 16:08:26.612996 15946 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" } I0615 16:08:26.613243 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.613270 15946 net.cpp:86] Creating Layer data I0615 16:08:26.613288 15946 net.cpp:382] data -> data I0615 16:08:26.613318 15946 net.cpp:382] data -> label I0615 16:08:26.613354 15946 net.cpp:124] Setting up data I0615 16:08:26.613368 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.613384 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.613396 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.613407 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.613431 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.613442 15946 net.cpp:408] conv <- data I0615 16:08:26.613461 15946 net.cpp:382] conv -> conv I0615 16:08:26.613521 15946 net.cpp:124] Setting up conv I0615 16:08:26.613534 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.613548 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.613574 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.613591 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.613603 15946 net.cpp:408] ip <- conv I0615 16:08:26.613618 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.614001 15946 net.cpp:124] Setting up ip I0615 16:08:26.614012 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.614025 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.614045 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.614060 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.614071 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.614084 15946 net.cpp:408] loss <- label I0615 16:08:26.614097 15946 net.cpp:382] loss -> loss I0615 16:08:26.614117 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.614149 15946 net.cpp:124] Setting up loss I0615 16:08:26.614161 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.614172 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.614188 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.614199 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.614212 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.614223 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.614235 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.614246 15946 net.cpp:244] This network produces output loss I0615 16:08:26.614262 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.649801 15946 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I0615 16:08:26.649842 15946 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I0615 16:08:26.649857 15946 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 } } I0615 16:08:26.650048 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.650074 15946 net.cpp:86] Creating Layer data I0615 16:08:26.650094 15946 net.cpp:382] data -> data I0615 16:08:26.650143 15946 net.cpp:124] Setting up data I0615 16:08:26.650161 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.650177 15946 net.cpp:139] Memory required for data: 400 I0615 16:08:26.650192 15946 layer_factory.hpp:77] Creating layer data_data_0_split I0615 16:08:26.650214 15946 net.cpp:86] Creating Layer data_data_0_split I0615 16:08:26.650228 15946 net.cpp:408] data_data_0_split <- data I0615 16:08:26.650249 15946 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0615 16:08:26.650275 15946 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0615 16:08:26.650310 15946 net.cpp:124] Setting up data_data_0_split I0615 16:08:26.650328 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.650352 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.650368 15946 net.cpp:139] Memory required for data: 1200 I0615 16:08:26.650382 15946 layer_factory.hpp:77] Creating layer A I0615 16:08:26.650404 15946 net.cpp:86] Creating Layer A I0615 16:08:26.650418 15946 net.cpp:408] A <- data_data_0_split_0 I0615 16:08:26.650440 15946 net.cpp:382] A -> A I0615 16:08:26.650483 15946 net.cpp:124] Setting up A I0615 16:08:26.650498 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.650514 15946 net.cpp:139] Memory required for data: 1204 I0615 16:08:26.650545 15946 layer_factory.hpp:77] Creating layer AorB I0615 16:08:26.650568 15946 net.cpp:86] Creating Layer AorB I0615 16:08:26.650583 15946 net.cpp:408] AorB <- data_data_0_split_1 I0615 16:08:26.650604 15946 net.cpp:382] AorB -> AorB I0615 16:08:26.650642 15946 net.cpp:124] Setting up AorB I0615 16:08:26.650657 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.650673 15946 net.cpp:139] Memory required for data: 1208 I0615 16:08:26.650698 15946 net.cpp:202] AorB does not need backward computation. I0615 16:08:26.650714 15946 net.cpp:202] A does not need backward computation. I0615 16:08:26.650729 15946 net.cpp:202] data_data_0_split does not need backward computation. I0615 16:08:26.650743 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.650756 15946 net.cpp:244] This network produces output A I0615 16:08:26.650769 15946 net.cpp:244] This network produces output AorB I0615 16:08:26.650791 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.657040 15946 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 } } I0615 16:08:26.657217 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.657234 15946 net.cpp:86] Creating Layer data I0615 16:08:26.657246 15946 net.cpp:382] data -> data I0615 16:08:26.657279 15946 net.cpp:124] Setting up data I0615 16:08:26.657289 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.657301 15946 net.cpp:139] Memory required for data: 400 I0615 16:08:26.657310 15946 layer_factory.hpp:77] Creating layer data_data_0_split I0615 16:08:26.657326 15946 net.cpp:86] Creating Layer data_data_0_split I0615 16:08:26.657335 15946 net.cpp:408] data_data_0_split <- data I0615 16:08:26.657349 15946 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0615 16:08:26.657366 15946 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0615 16:08:26.657383 15946 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0615 16:08:26.657399 15946 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0615 16:08:26.657419 15946 net.cpp:124] Setting up data_data_0_split I0615 16:08:26.657428 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.657440 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.657451 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.657461 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.657471 15946 net.cpp:139] Memory required for data: 2000 I0615 16:08:26.657480 15946 layer_factory.hpp:77] Creating layer A I0615 16:08:26.657493 15946 net.cpp:86] Creating Layer A I0615 16:08:26.657503 15946 net.cpp:408] A <- data_data_0_split_0 I0615 16:08:26.657522 15946 net.cpp:382] A -> A I0615 16:08:26.657554 15946 net.cpp:124] Setting up A I0615 16:08:26.657567 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.657577 15946 net.cpp:139] Memory required for data: 2004 I0615 16:08:26.657598 15946 layer_factory.hpp:77] Creating layer B I0615 16:08:26.657613 15946 net.cpp:86] Creating Layer B I0615 16:08:26.657622 15946 net.cpp:408] B <- data_data_0_split_1 I0615 16:08:26.657635 15946 net.cpp:382] B -> B I0615 16:08:26.657657 15946 net.cpp:124] Setting up B I0615 16:08:26.657666 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.657676 15946 net.cpp:139] Memory required for data: 2008 I0615 16:08:26.657692 15946 layer_factory.hpp:77] Creating layer AorB I0615 16:08:26.657706 15946 net.cpp:86] Creating Layer AorB I0615 16:08:26.657716 15946 net.cpp:408] AorB <- data_data_0_split_2 I0615 16:08:26.657729 15946 net.cpp:382] AorB -> AorB I0615 16:08:26.657752 15946 net.cpp:124] Setting up AorB I0615 16:08:26.657759 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.657769 15946 net.cpp:139] Memory required for data: 2012 I0615 16:08:26.657788 15946 layer_factory.hpp:77] Creating layer AandB I0615 16:08:26.657801 15946 net.cpp:86] Creating Layer AandB I0615 16:08:26.657810 15946 net.cpp:408] AandB <- data_data_0_split_3 I0615 16:08:26.657824 15946 net.cpp:382] AandB -> AandB I0615 16:08:26.657845 15946 net.cpp:124] Setting up AandB I0615 16:08:26.657855 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.657864 15946 net.cpp:139] Memory required for data: 2016 I0615 16:08:26.657877 15946 net.cpp:202] AandB does not need backward computation. I0615 16:08:26.657887 15946 net.cpp:202] AorB does not need backward computation. I0615 16:08:26.657897 15946 net.cpp:202] B does not need backward computation. I0615 16:08:26.657907 15946 net.cpp:202] A does not need backward computation. I0615 16:08:26.657917 15946 net.cpp:202] data_data_0_split does not need backward computation. I0615 16:08:26.657925 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.657933 15946 net.cpp:244] This network produces output A I0615 16:08:26.657943 15946 net.cpp:244] This network produces output AandB I0615 16:08:26.657950 15946 net.cpp:244] This network produces output AorB I0615 16:08:26.657959 15946 net.cpp:244] This network produces output B I0615 16:08:26.657975 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.665058 15946 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I0615 16:08:26.665086 15946 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I0615 16:08:26.665097 15946 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I0615 16:08:26.665108 15946 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 } } I0615 16:08:26.665235 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.665253 15946 net.cpp:86] Creating Layer data I0615 16:08:26.665266 15946 net.cpp:382] data -> data I0615 16:08:26.665302 15946 net.cpp:124] Setting up data I0615 16:08:26.665311 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.665323 15946 net.cpp:139] Memory required for data: 400 I0615 16:08:26.665333 15946 layer_factory.hpp:77] Creating layer data_data_0_split I0615 16:08:26.665346 15946 net.cpp:86] Creating Layer data_data_0_split I0615 16:08:26.665355 15946 net.cpp:408] data_data_0_split <- data I0615 16:08:26.665369 15946 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0615 16:08:26.665385 15946 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0615 16:08:26.665405 15946 net.cpp:124] Setting up data_data_0_split I0615 16:08:26.665413 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.665424 15946 net.cpp:131] Top shape: 1 1 10 10 (100) I0615 16:08:26.665434 15946 net.cpp:139] Memory required for data: 1200 I0615 16:08:26.665443 15946 layer_factory.hpp:77] Creating layer B I0615 16:08:26.665458 15946 net.cpp:86] Creating Layer B I0615 16:08:26.665467 15946 net.cpp:408] B <- data_data_0_split_0 I0615 16:08:26.665482 15946 net.cpp:382] B -> B I0615 16:08:26.665510 15946 net.cpp:124] Setting up B I0615 16:08:26.665519 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.665529 15946 net.cpp:139] Memory required for data: 1204 I0615 16:08:26.665550 15946 layer_factory.hpp:77] Creating layer AorB I0615 16:08:26.665565 15946 net.cpp:86] Creating Layer AorB I0615 16:08:26.665573 15946 net.cpp:408] AorB <- data_data_0_split_1 I0615 16:08:26.665586 15946 net.cpp:382] AorB -> AorB I0615 16:08:26.665611 15946 net.cpp:124] Setting up AorB I0615 16:08:26.665619 15946 net.cpp:131] Top shape: 1 1 (1) I0615 16:08:26.665629 15946 net.cpp:139] Memory required for data: 1208 I0615 16:08:26.665645 15946 net.cpp:202] AorB does not need backward computation. I0615 16:08:26.665655 15946 net.cpp:202] B does not need backward computation. I0615 16:08:26.665664 15946 net.cpp:202] data_data_0_split does not need backward computation. I0615 16:08:26.665673 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.665681 15946 net.cpp:244] This network produces output AorB I0615 16:08:26.665693 15946 net.cpp:244] This network produces output B I0615 16:08:26.665707 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.673436 15946 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" } I0615 16:08:26.673645 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.673663 15946 net.cpp:86] Creating Layer data I0615 16:08:26.673676 15946 net.cpp:382] data -> data I0615 16:08:26.673699 15946 net.cpp:382] data -> label I0615 16:08:26.673799 15946 net.cpp:124] Setting up data I0615 16:08:26.673808 15946 net.cpp:131] Top shape: 50 1 28 28 (39200) I0615 16:08:26.673825 15946 net.cpp:131] Top shape: 50 1 1 1 (50) I0615 16:08:26.673835 15946 net.cpp:139] Memory required for data: 157000 I0615 16:08:26.673846 15946 layer_factory.hpp:77] Creating layer conv1 I0615 16:08:26.673861 15946 net.cpp:86] Creating Layer conv1 I0615 16:08:26.673871 15946 net.cpp:408] conv1 <- data I0615 16:08:26.673884 15946 net.cpp:382] conv1 -> conv1 I0615 16:08:26.673965 15946 net.cpp:124] Setting up conv1 I0615 16:08:26.673976 15946 net.cpp:131] Top shape: 50 20 24 24 (576000) I0615 16:08:26.673988 15946 net.cpp:139] Memory required for data: 2461000 I0615 16:08:26.674010 15946 layer_factory.hpp:77] Creating layer pool1 I0615 16:08:26.674024 15946 net.cpp:86] Creating Layer pool1 I0615 16:08:26.674033 15946 net.cpp:408] pool1 <- conv1 I0615 16:08:26.674046 15946 net.cpp:382] pool1 -> pool1 I0615 16:08:26.674077 15946 net.cpp:124] Setting up pool1 I0615 16:08:26.674086 15946 net.cpp:131] Top shape: 50 20 12 12 (144000) I0615 16:08:26.674098 15946 net.cpp:139] Memory required for data: 3037000 I0615 16:08:26.674108 15946 layer_factory.hpp:77] Creating layer conv2 I0615 16:08:26.674120 15946 net.cpp:86] Creating Layer conv2 I0615 16:08:26.674129 15946 net.cpp:408] conv2 <- pool1 I0615 16:08:26.674142 15946 net.cpp:382] conv2 -> conv2 I0615 16:08:26.675534 15946 net.cpp:124] Setting up conv2 I0615 16:08:26.675545 15946 net.cpp:131] Top shape: 50 50 8 8 (160000) I0615 16:08:26.675557 15946 net.cpp:139] Memory required for data: 3677000 I0615 16:08:26.675573 15946 layer_factory.hpp:77] Creating layer pool2 I0615 16:08:26.675587 15946 net.cpp:86] Creating Layer pool2 I0615 16:08:26.675596 15946 net.cpp:408] pool2 <- conv2 I0615 16:08:26.675608 15946 net.cpp:382] pool2 -> pool2 I0615 16:08:26.675624 15946 net.cpp:124] Setting up pool2 I0615 16:08:26.675633 15946 net.cpp:131] Top shape: 50 50 4 4 (40000) I0615 16:08:26.675644 15946 net.cpp:139] Memory required for data: 3837000 I0615 16:08:26.675657 15946 layer_factory.hpp:77] Creating layer ip1 I0615 16:08:26.675669 15946 net.cpp:86] Creating Layer ip1 I0615 16:08:26.675678 15946 net.cpp:408] ip1 <- pool2 I0615 16:08:26.675690 15946 net.cpp:382] ip1 -> ip1 I0615 16:08:26.700063 15946 net.cpp:124] Setting up ip1 I0615 16:08:26.700094 15946 net.cpp:131] Top shape: 50 500 (25000) I0615 16:08:26.700109 15946 net.cpp:139] Memory required for data: 3937000 I0615 16:08:26.700139 15946 layer_factory.hpp:77] Creating layer relu1 I0615 16:08:26.700158 15946 net.cpp:86] Creating Layer relu1 I0615 16:08:26.700170 15946 net.cpp:408] relu1 <- ip1 I0615 16:08:26.700184 15946 net.cpp:369] relu1 -> ip1 (in-place) I0615 16:08:26.700202 15946 net.cpp:124] Setting up relu1 I0615 16:08:26.700212 15946 net.cpp:131] Top shape: 50 500 (25000) I0615 16:08:26.700255 15946 net.cpp:139] Memory required for data: 4037000 I0615 16:08:26.700269 15946 layer_factory.hpp:77] Creating layer ip2 I0615 16:08:26.700289 15946 net.cpp:86] Creating Layer ip2 I0615 16:08:26.700300 15946 net.cpp:408] ip2 <- ip1 I0615 16:08:26.700316 15946 net.cpp:382] ip2 -> ip2 I0615 16:08:26.700618 15946 net.cpp:124] Setting up ip2 I0615 16:08:26.700628 15946 net.cpp:131] Top shape: 50 10 (500) I0615 16:08:26.700641 15946 net.cpp:139] Memory required for data: 4039000 I0615 16:08:26.700657 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.700675 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.700686 15946 net.cpp:408] loss <- ip2 I0615 16:08:26.700698 15946 net.cpp:408] loss <- label I0615 16:08:26.700712 15946 net.cpp:382] loss -> loss I0615 16:08:26.700732 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.700762 15946 net.cpp:124] Setting up loss I0615 16:08:26.700773 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.700784 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.700812 15946 net.cpp:139] Memory required for data: 4039004 I0615 16:08:26.700824 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.700835 15946 net.cpp:200] ip2 needs backward computation. I0615 16:08:26.700846 15946 net.cpp:200] relu1 needs backward computation. I0615 16:08:26.700856 15946 net.cpp:200] ip1 needs backward computation. I0615 16:08:26.700867 15946 net.cpp:200] pool2 needs backward computation. I0615 16:08:26.700878 15946 net.cpp:200] conv2 needs backward computation. I0615 16:08:26.700891 15946 net.cpp:200] pool1 needs backward computation. I0615 16:08:26.700901 15946 net.cpp:200] conv1 needs backward computation. I0615 16:08:26.700913 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.700922 15946 net.cpp:244] This network produces output loss I0615 16:08:26.700944 15946 net.cpp:257] Network initialization done. I0615 16:08:26.708763 15946 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" } I0615 16:08:26.708936 15946 layer_factory.hpp:77] Creating layer DummyData1 I0615 16:08:26.708952 15946 net.cpp:86] Creating Layer DummyData1 I0615 16:08:26.708961 15946 net.cpp:382] DummyData1 -> DummyData1 I0615 16:08:26.708981 15946 net.cpp:382] DummyData1 -> DummyData2 I0615 16:08:26.709098 15946 net.cpp:124] Setting up DummyData1 I0615 16:08:26.709106 15946 net.cpp:131] Top shape: 50 1 28 28 (39200) I0615 16:08:26.709118 15946 net.cpp:131] Top shape: 50 1 1 1 (50) I0615 16:08:26.709125 15946 net.cpp:139] Memory required for data: 157000 I0615 16:08:26.709132 15946 layer_factory.hpp:77] Creating layer Convolution1 I0615 16:08:26.709144 15946 net.cpp:86] Creating Layer Convolution1 I0615 16:08:26.709151 15946 net.cpp:408] Convolution1 <- DummyData1 I0615 16:08:26.709161 15946 net.cpp:382] Convolution1 -> Convolution1 I0615 16:08:26.709215 15946 net.cpp:124] Setting up Convolution1 I0615 16:08:26.709223 15946 net.cpp:131] Top shape: 50 20 24 24 (576000) I0615 16:08:26.709231 15946 net.cpp:139] Memory required for data: 2461000 I0615 16:08:26.709246 15946 layer_factory.hpp:77] Creating layer Pooling1 I0615 16:08:26.709256 15946 net.cpp:86] Creating Layer Pooling1 I0615 16:08:26.709264 15946 net.cpp:408] Pooling1 <- Convolution1 I0615 16:08:26.709271 15946 net.cpp:382] Pooling1 -> Pooling1 I0615 16:08:26.709285 15946 net.cpp:124] Setting up Pooling1 I0615 16:08:26.709290 15946 net.cpp:131] Top shape: 50 20 12 12 (144000) I0615 16:08:26.709298 15946 net.cpp:139] Memory required for data: 3037000 I0615 16:08:26.709304 15946 layer_factory.hpp:77] Creating layer Convolution2 I0615 16:08:26.709316 15946 net.cpp:86] Creating Layer Convolution2 I0615 16:08:26.709321 15946 net.cpp:408] Convolution2 <- Pooling1 I0615 16:08:26.709331 15946 net.cpp:382] Convolution2 -> Convolution2 I0615 16:08:26.710326 15946 net.cpp:124] Setting up Convolution2 I0615 16:08:26.710333 15946 net.cpp:131] Top shape: 50 50 8 8 (160000) I0615 16:08:26.710341 15946 net.cpp:139] Memory required for data: 3677000 I0615 16:08:26.710351 15946 layer_factory.hpp:77] Creating layer Pooling2 I0615 16:08:26.710361 15946 net.cpp:86] Creating Layer Pooling2 I0615 16:08:26.710366 15946 net.cpp:408] Pooling2 <- Convolution2 I0615 16:08:26.710374 15946 net.cpp:382] Pooling2 -> Pooling2 I0615 16:08:26.710386 15946 net.cpp:124] Setting up Pooling2 I0615 16:08:26.710393 15946 net.cpp:131] Top shape: 50 50 4 4 (40000) I0615 16:08:26.710402 15946 net.cpp:139] Memory required for data: 3837000 I0615 16:08:26.710407 15946 layer_factory.hpp:77] Creating layer InnerProduct1 I0615 16:08:26.710417 15946 net.cpp:86] Creating Layer InnerProduct1 I0615 16:08:26.710422 15946 net.cpp:408] InnerProduct1 <- Pooling2 I0615 16:08:26.710431 15946 net.cpp:382] InnerProduct1 -> InnerProduct1 I0615 16:08:26.727676 15946 net.cpp:124] Setting up InnerProduct1 I0615 16:08:26.727701 15946 net.cpp:131] Top shape: 50 500 (25000) I0615 16:08:26.727713 15946 net.cpp:139] Memory required for data: 3937000 I0615 16:08:26.727742 15946 layer_factory.hpp:77] Creating layer ReLU1 I0615 16:08:26.727761 15946 net.cpp:86] Creating Layer ReLU1 I0615 16:08:26.727768 15946 net.cpp:408] ReLU1 <- InnerProduct1 I0615 16:08:26.727779 15946 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I0615 16:08:26.727793 15946 net.cpp:124] Setting up ReLU1 I0615 16:08:26.727800 15946 net.cpp:131] Top shape: 50 500 (25000) I0615 16:08:26.727807 15946 net.cpp:139] Memory required for data: 4037000 I0615 16:08:26.727813 15946 layer_factory.hpp:77] Creating layer InnerProduct2 I0615 16:08:26.727823 15946 net.cpp:86] Creating Layer InnerProduct2 I0615 16:08:26.727828 15946 net.cpp:408] InnerProduct2 <- InnerProduct1 I0615 16:08:26.727838 15946 net.cpp:382] InnerProduct2 -> InnerProduct2 I0615 16:08:26.728057 15946 net.cpp:124] Setting up InnerProduct2 I0615 16:08:26.728063 15946 net.cpp:131] Top shape: 50 10 (500) I0615 16:08:26.728070 15946 net.cpp:139] Memory required for data: 4039000 I0615 16:08:26.728080 15946 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0615 16:08:26.728092 15946 net.cpp:86] Creating Layer SoftmaxWithLoss1 I0615 16:08:26.728098 15946 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I0615 16:08:26.728106 15946 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I0615 16:08:26.728114 15946 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I0615 16:08:26.728128 15946 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0615 16:08:26.728148 15946 net.cpp:124] Setting up SoftmaxWithLoss1 I0615 16:08:26.728154 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.728161 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.728180 15946 net.cpp:139] Memory required for data: 4039004 I0615 16:08:26.728188 15946 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I0615 16:08:26.728195 15946 net.cpp:200] InnerProduct2 needs backward computation. I0615 16:08:26.728201 15946 net.cpp:200] ReLU1 needs backward computation. I0615 16:08:26.728207 15946 net.cpp:200] InnerProduct1 needs backward computation. I0615 16:08:26.728214 15946 net.cpp:200] Pooling2 needs backward computation. I0615 16:08:26.728585 15946 net.cpp:200] Convolution2 needs backward computation. I0615 16:08:26.728598 15946 net.cpp:200] Pooling1 needs backward computation. I0615 16:08:26.728610 15946 net.cpp:200] Convolution1 needs backward computation. I0615 16:08:26.728618 15946 net.cpp:202] DummyData1 does not need backward computation. I0615 16:08:26.728626 15946 net.cpp:244] This network produces output SoftmaxWithLoss1 I0615 16:08:26.728641 15946 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): .I0615 16:08:26.740576 15946 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" } I0615 16:08:26.740692 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.740711 15946 net.cpp:86] Creating Layer data I0615 16:08:26.740722 15946 net.cpp:382] data -> data I0615 16:08:26.740746 15946 net.cpp:382] data -> data2 I0615 16:08:26.740775 15946 net.cpp:124] Setting up data I0615 16:08:26.740785 15946 net.cpp:131] Top shape: 3 (3) I0615 16:08:26.740797 15946 net.cpp:131] Top shape: 3 (3) I0615 16:08:26.740805 15946 net.cpp:139] Memory required for data: 24 I0615 16:08:26.740814 15946 layer_factory.hpp:77] Creating layer silence_data I0615 16:08:26.740839 15946 net.cpp:86] Creating Layer silence_data I0615 16:08:26.740849 15946 net.cpp:408] silence_data <- data I0615 16:08:26.740857 15946 net.cpp:124] Setting up silence_data I0615 16:08:26.740864 15946 net.cpp:139] Memory required for data: 24 I0615 16:08:26.740872 15946 layer_factory.hpp:77] Creating layer silence_data2 I0615 16:08:26.740882 15946 net.cpp:86] Creating Layer silence_data2 I0615 16:08:26.740890 15946 net.cpp:408] silence_data2 <- data2 I0615 16:08:26.740898 15946 net.cpp:124] Setting up silence_data2 I0615 16:08:26.740906 15946 net.cpp:139] Memory required for data: 24 I0615 16:08:26.740912 15946 net.cpp:202] silence_data2 does not need backward computation. I0615 16:08:26.740921 15946 net.cpp:202] silence_data does not need backward computation. I0615 16:08:26.740928 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.740938 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.748585 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpjp2x7vii I0615 16:08:26.748616 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.748625 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.748659 15946 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" } } I0615 16:08:26.748761 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.748778 15946 net.cpp:86] Creating Layer input I0615 16:08:26.748790 15946 net.cpp:382] input -> data I0615 16:08:26.748816 15946 net.cpp:124] Setting up input I0615 16:08:26.748826 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.748837 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.748845 15946 layer_factory.hpp:77] Creating layer one I0615 16:08:26.748905 15946 net.cpp:86] Creating Layer one I0615 16:08:26.748915 15946 net.cpp:408] one <- data I0615 16:08:26.748926 15946 net.cpp:382] one -> one I0615 16:08:26.749001 15946 net.cpp:124] Setting up one I0615 16:08:26.749009 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.749019 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.749027 15946 layer_factory.hpp:77] Creating layer two I0615 16:08:26.749053 15946 net.cpp:86] Creating Layer two I0615 16:08:26.749063 15946 net.cpp:408] two <- one I0615 16:08:26.749073 15946 net.cpp:382] two -> two I0615 16:08:26.749105 15946 net.cpp:124] Setting up two I0615 16:08:26.749114 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.749125 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.749131 15946 layer_factory.hpp:77] Creating layer three I0615 16:08:26.749156 15946 net.cpp:86] Creating Layer three I0615 16:08:26.749164 15946 net.cpp:408] three <- two I0615 16:08:26.749176 15946 net.cpp:382] three -> three I0615 16:08:26.749205 15946 net.cpp:124] Setting up three I0615 16:08:26.749213 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.749223 15946 net.cpp:139] Memory required for data: 11520 I0615 16:08:26.749231 15946 net.cpp:202] three does not need backward computation. I0615 16:08:26.749244 15946 net.cpp:202] two does not need backward computation. I0615 16:08:26.749253 15946 net.cpp:202] one does not need backward computation. I0615 16:08:26.749261 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.749269 15946 net.cpp:244] This network produces output three I0615 16:08:26.749281 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.764636 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp6_tg18a9 I0615 16:08:26.764675 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.764688 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.764745 15946 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" } } I0615 16:08:26.764883 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.764909 15946 net.cpp:86] Creating Layer input I0615 16:08:26.764926 15946 net.cpp:382] input -> data I0615 16:08:26.764961 15946 net.cpp:124] Setting up input I0615 16:08:26.764973 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.764988 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.765000 15946 layer_factory.hpp:77] Creating layer one I0615 16:08:26.765077 15946 net.cpp:86] Creating Layer one I0615 16:08:26.765089 15946 net.cpp:408] one <- data I0615 16:08:26.765105 15946 net.cpp:382] one -> one I0615 16:08:26.765183 15946 net.cpp:124] Setting up one I0615 16:08:26.765197 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.765209 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.765220 15946 layer_factory.hpp:77] Creating layer two I0615 16:08:26.765259 15946 net.cpp:86] Creating Layer two I0615 16:08:26.765271 15946 net.cpp:408] two <- one I0615 16:08:26.765285 15946 net.cpp:382] two -> two I0615 16:08:26.765331 15946 net.cpp:124] Setting up two I0615 16:08:26.765343 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.765357 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.765367 15946 layer_factory.hpp:77] Creating layer three I0615 16:08:26.765400 15946 net.cpp:86] Creating Layer three I0615 16:08:26.765413 15946 net.cpp:408] three <- two I0615 16:08:26.765426 15946 net.cpp:382] three -> three I0615 16:08:26.765481 15946 net.cpp:124] Setting up three I0615 16:08:26.765496 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.765516 15946 net.cpp:139] Memory required for data: 11520 I0615 16:08:26.765530 15946 net.cpp:202] three does not need backward computation. I0615 16:08:26.765545 15946 net.cpp:202] two does not need backward computation. I0615 16:08:26.765559 15946 net.cpp:202] one does not need backward computation. I0615 16:08:26.765574 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.765590 15946 net.cpp:244] This network produces output three I0615 16:08:26.765615 15946 net.cpp:257] Network initialization done. I0615 16:08:26.772722 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp4n22xi5m I0615 16:08:26.772765 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.772781 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.772826 15946 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" } } I0615 16:08:26.772987 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.773016 15946 net.cpp:86] Creating Layer input I0615 16:08:26.773036 15946 net.cpp:382] input -> data I0615 16:08:26.773077 15946 net.cpp:124] Setting up input I0615 16:08:26.773094 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.773118 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.773134 15946 layer_factory.hpp:77] Creating layer layer I0615 16:08:26.773221 15946 net.cpp:86] Creating Layer layer I0615 16:08:26.773237 15946 net.cpp:408] layer <- data I0615 16:08:26.773258 15946 net.cpp:382] layer -> top .I0615 16:08:26.784646 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmphz038wtb I0615 16:08:26.784682 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.784690 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.784732 15946 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" } } I0615 16:08:26.784888 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.784909 15946 net.cpp:86] Creating Layer input I0615 16:08:26.784921 15946 net.cpp:382] input -> data I0615 16:08:26.784953 15946 net.cpp:124] Setting up input I0615 16:08:26.784962 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.784976 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.784986 15946 layer_factory.hpp:77] Creating layer one I0615 16:08:26.785081 15946 net.cpp:86] Creating Layer one I0615 16:08:26.785092 15946 net.cpp:408] one <- data I0615 16:08:26.785105 15946 net.cpp:382] one -> one I0615 16:08:26.785176 15946 net.cpp:124] Setting up one I0615 16:08:26.785185 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.785197 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.785205 15946 layer_factory.hpp:77] Creating layer two I0615 16:08:26.785235 15946 net.cpp:86] Creating Layer two I0615 16:08:26.785245 15946 net.cpp:408] two <- one I0615 16:08:26.785256 15946 net.cpp:382] two -> two I0615 16:08:26.785293 15946 net.cpp:124] Setting up two I0615 16:08:26.785303 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.785315 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.785322 15946 layer_factory.hpp:77] Creating layer three I0615 16:08:26.785351 15946 net.cpp:86] Creating Layer three I0615 16:08:26.785359 15946 net.cpp:408] three <- two I0615 16:08:26.785372 15946 net.cpp:382] three -> three I0615 16:08:26.785406 15946 net.cpp:124] Setting up three I0615 16:08:26.785415 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.785426 15946 net.cpp:139] Memory required for data: 11520 I0615 16:08:26.785436 15946 net.cpp:202] three does not need backward computation. I0615 16:08:26.785445 15946 net.cpp:202] two does not need backward computation. I0615 16:08:26.785459 15946 net.cpp:202] one does not need backward computation. I0615 16:08:26.785468 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.785477 15946 net.cpp:244] This network produces output three I0615 16:08:26.785490 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.801198 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpy9rkijl0 I0615 16:08:26.801232 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.801241 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.801282 15946 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" } } I0615 16:08:26.801398 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.801416 15946 net.cpp:86] Creating Layer input I0615 16:08:26.801429 15946 net.cpp:382] input -> data I0615 16:08:26.801457 15946 net.cpp:124] Setting up input I0615 16:08:26.801467 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.801481 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.801491 15946 layer_factory.hpp:77] Creating layer one I0615 16:08:26.801548 15946 net.cpp:86] Creating Layer one I0615 16:08:26.801558 15946 net.cpp:408] one <- data I0615 16:08:26.801570 15946 net.cpp:382] one -> one I0615 16:08:26.801640 15946 net.cpp:124] Setting up one I0615 16:08:26.801649 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.801661 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.801668 15946 layer_factory.hpp:77] Creating layer two I0615 16:08:26.801698 15946 net.cpp:86] Creating Layer two I0615 16:08:26.801708 15946 net.cpp:408] two <- one I0615 16:08:26.801719 15946 net.cpp:382] two -> two I0615 16:08:26.801756 15946 net.cpp:124] Setting up two I0615 16:08:26.801766 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.801777 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.801785 15946 layer_factory.hpp:77] Creating layer three I0615 16:08:26.801813 15946 net.cpp:86] Creating Layer three I0615 16:08:26.801823 15946 net.cpp:408] three <- two I0615 16:08:26.801836 15946 net.cpp:382] three -> three I0615 16:08:26.801870 15946 net.cpp:124] Setting up three I0615 16:08:26.801880 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.801892 15946 net.cpp:139] Memory required for data: 11520 I0615 16:08:26.801899 15946 net.cpp:202] three does not need backward computation. I0615 16:08:26.801909 15946 net.cpp:202] two does not need backward computation. I0615 16:08:26.801918 15946 net.cpp:202] one does not need backward computation. I0615 16:08:26.801928 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.801936 15946 net.cpp:244] This network produces output three I0615 16:08:26.801950 15946 net.cpp:257] Network initialization done. I0615 16:08:26.808964 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpbxll4_0g I0615 16:08:26.808997 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.809005 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.809038 15946 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" } } I0615 16:08:26.809124 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.809144 15946 net.cpp:86] Creating Layer input I0615 16:08:26.809156 15946 net.cpp:382] input -> data I0615 16:08:26.809187 15946 net.cpp:124] Setting up input I0615 16:08:26.809197 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.809211 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.809221 15946 layer_factory.hpp:77] Creating layer layer I0615 16:08:26.809278 15946 net.cpp:86] Creating Layer layer I0615 16:08:26.809288 15946 net.cpp:408] layer <- data I0615 16:08:26.809300 15946 net.cpp:382] layer -> top I0615 16:08:26.809396 15946 net.cpp:124] Setting up layer I0615 16:08:26.809406 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.809417 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.809437 15946 net.cpp:202] layer does not need backward computation. I0615 16:08:26.809448 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.809456 15946 net.cpp:244] This network produces output top I0615 16:08:26.809468 15946 net.cpp:257] Network initialization done. I0615 16:08:26.817764 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpbxll4_0g I0615 16:08:26.817802 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.817816 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.817883 15946 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" } } I0615 16:08:26.817982 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.818006 15946 net.cpp:86] Creating Layer input I0615 16:08:26.818022 15946 net.cpp:382] input -> data I0615 16:08:26.818054 15946 net.cpp:124] Setting up input I0615 16:08:26.818066 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.818081 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.818094 15946 layer_factory.hpp:77] Creating layer layer I0615 16:08:26.818156 15946 net.cpp:86] Creating Layer layer I0615 16:08:26.818168 15946 net.cpp:408] layer <- data I0615 16:08:26.818183 15946 net.cpp:382] layer -> top I0615 16:08:26.818274 15946 net.cpp:124] Setting up layer I0615 16:08:26.818287 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.818301 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.818325 15946 net.cpp:202] layer does not need backward computation. I0615 16:08:26.818337 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.818348 15946 net.cpp:244] This network produces output top I0615 16:08:26.818362 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.825212 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpoad47hq2 I0615 16:08:26.825248 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.825259 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.825326 15946 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" } } I0615 16:08:26.825460 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.825482 15946 net.cpp:86] Creating Layer input I0615 16:08:26.825498 15946 net.cpp:382] input -> data I0615 16:08:26.825531 15946 net.cpp:124] Setting up input I0615 16:08:26.825546 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.825568 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.825582 15946 layer_factory.hpp:77] Creating layer one I0615 16:08:26.825650 15946 net.cpp:86] Creating Layer one I0615 16:08:26.825664 15946 net.cpp:408] one <- data I0615 16:08:26.825680 15946 net.cpp:382] one -> one I0615 16:08:26.825793 15946 net.cpp:124] Setting up one I0615 16:08:26.825809 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.825821 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.825831 15946 layer_factory.hpp:77] Creating layer two I0615 16:08:26.825870 15946 net.cpp:86] Creating Layer two I0615 16:08:26.825882 15946 net.cpp:408] two <- one I0615 16:08:26.825897 15946 net.cpp:382] two -> two I0615 16:08:26.825945 15946 net.cpp:124] Setting up two I0615 16:08:26.825958 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.825970 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.825980 15946 layer_factory.hpp:77] Creating layer three I0615 16:08:26.826014 15946 net.cpp:86] Creating Layer three I0615 16:08:26.826025 15946 net.cpp:408] three <- two I0615 16:08:26.826040 15946 net.cpp:382] three -> three I0615 16:08:26.826083 15946 net.cpp:124] Setting up three I0615 16:08:26.826095 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.826108 15946 net.cpp:139] Memory required for data: 11520 I0615 16:08:26.826119 15946 net.cpp:202] three does not need backward computation. I0615 16:08:26.826130 15946 net.cpp:202] two does not need backward computation. I0615 16:08:26.826141 15946 net.cpp:202] one does not need backward computation. I0615 16:08:26.826153 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.826164 15946 net.cpp:244] This network produces output three I0615 16:08:26.826179 15946 net.cpp:257] Network initialization done. I0615 16:08:26.832906 15946 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" } } I0615 16:08:26.832999 15946 layer_factory.hpp:77] Creating layer layer I0615 16:08:26.833082 15946 net.cpp:86] Creating Layer layer I0615 16:08:26.833097 15946 net.cpp:382] layer -> phase I0615 16:08:26.833163 15946 net.cpp:124] Setting up layer I0615 16:08:26.833175 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.833190 15946 net.cpp:139] Memory required for data: 4 I0615 16:08:26.833204 15946 net.cpp:202] layer does not need backward computation. I0615 16:08:26.833214 15946 net.cpp:244] This network produces output phase I0615 16:08:26.833226 15946 net.cpp:257] Network initialization done. I0615 16:08:26.833719 15946 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" } } I0615 16:08:26.833770 15946 layer_factory.hpp:77] Creating layer layer I0615 16:08:26.833817 15946 net.cpp:86] Creating Layer layer I0615 16:08:26.833832 15946 net.cpp:382] layer -> phase I0615 16:08:26.833871 15946 net.cpp:124] Setting up layer I0615 16:08:26.833884 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.833895 15946 net.cpp:139] Memory required for data: 4 I0615 16:08:26.833906 15946 net.cpp:202] layer does not need backward computation. I0615 16:08:26.833916 15946 net.cpp:244] This network produces output phase I0615 16:08:26.833927 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.840731 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpodhqi4hl I0615 16:08:26.840764 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.840773 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.840813 15946 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" } } I0615 16:08:26.840939 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.840983 15946 net.cpp:86] Creating Layer input I0615 16:08:26.840997 15946 net.cpp:382] input -> data I0615 16:08:26.841027 15946 net.cpp:124] Setting up input I0615 16:08:26.841035 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.841048 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.841058 15946 layer_factory.hpp:77] Creating layer one I0615 16:08:26.841114 15946 net.cpp:86] Creating Layer one I0615 16:08:26.841125 15946 net.cpp:408] one <- data I0615 16:08:26.841137 15946 net.cpp:382] one -> one I0615 16:08:26.841205 15946 net.cpp:124] Setting up one I0615 16:08:26.841218 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.841233 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.841243 15946 layer_factory.hpp:77] Creating layer two I0615 16:08:26.841274 15946 net.cpp:86] Creating Layer two I0615 16:08:26.841284 15946 net.cpp:408] two <- one I0615 16:08:26.841295 15946 net.cpp:382] two -> two I0615 16:08:26.841334 15946 net.cpp:124] Setting up two I0615 16:08:26.841344 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.841356 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.841363 15946 layer_factory.hpp:77] Creating layer three I0615 16:08:26.841392 15946 net.cpp:86] Creating Layer three I0615 16:08:26.841400 15946 net.cpp:408] three <- two I0615 16:08:26.841413 15946 net.cpp:382] three -> three I0615 16:08:26.841447 15946 net.cpp:124] Setting up three I0615 16:08:26.841457 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.841467 15946 net.cpp:139] Memory required for data: 11520 I0615 16:08:26.841477 15946 net.cpp:202] three does not need backward computation. I0615 16:08:26.841487 15946 net.cpp:202] two does not need backward computation. I0615 16:08:26.841496 15946 net.cpp:202] one does not need backward computation. I0615 16:08:26.841506 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.841514 15946 net.cpp:244] This network produces output three I0615 16:08:26.841527 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.848564 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpsqldoj_q I0615 16:08:26.848596 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.848606 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.848641 15946 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" } } I0615 16:08:26.848754 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.848773 15946 net.cpp:86] Creating Layer input I0615 16:08:26.848786 15946 net.cpp:382] input -> data I0615 16:08:26.848815 15946 net.cpp:124] Setting up input I0615 16:08:26.848825 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.848837 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.848848 15946 layer_factory.hpp:77] Creating layer mul10 I0615 16:08:26.848911 15946 net.cpp:86] Creating Layer mul10 I0615 16:08:26.848922 15946 net.cpp:408] mul10 <- data I0615 16:08:26.848934 15946 net.cpp:382] mul10 -> mul10 I0615 16:08:26.849012 15946 net.cpp:124] Setting up mul10 I0615 16:08:26.849025 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.849035 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.849043 15946 layer_factory.hpp:77] Creating layer mul2 I0615 16:08:26.849073 15946 net.cpp:86] Creating Layer mul2 I0615 16:08:26.849087 15946 net.cpp:408] mul2 <- mul10 I0615 16:08:26.849102 15946 net.cpp:382] mul2 -> mul2 I0615 16:08:26.849153 15946 net.cpp:124] Setting up mul2 I0615 16:08:26.849164 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.849174 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.849184 15946 net.cpp:202] mul2 does not need backward computation. I0615 16:08:26.849193 15946 net.cpp:202] mul10 does not need backward computation. I0615 16:08:26.849203 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.849211 15946 net.cpp:244] This network produces output mul2 I0615 16:08:26.849225 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.864609 15946 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpr7dmpnkp I0615 16:08:26.864645 15946 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0615 16:08:26.864655 15946 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0615 16:08:26.864692 15946 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" } } I0615 16:08:26.864807 15946 layer_factory.hpp:77] Creating layer input I0615 16:08:26.864828 15946 net.cpp:86] Creating Layer input I0615 16:08:26.864842 15946 net.cpp:382] input -> data I0615 16:08:26.864873 15946 net.cpp:124] Setting up input I0615 16:08:26.864883 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.864897 15946 net.cpp:139] Memory required for data: 2880 I0615 16:08:26.864907 15946 layer_factory.hpp:77] Creating layer mul10 I0615 16:08:26.864964 15946 net.cpp:86] Creating Layer mul10 I0615 16:08:26.864979 15946 net.cpp:408] mul10 <- data I0615 16:08:26.864991 15946 net.cpp:382] mul10 -> mul10 I0615 16:08:26.865065 15946 net.cpp:124] Setting up mul10 I0615 16:08:26.865075 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.865087 15946 net.cpp:139] Memory required for data: 5760 I0615 16:08:26.865095 15946 layer_factory.hpp:77] Creating layer mul2 I0615 16:08:26.865125 15946 net.cpp:86] Creating Layer mul2 I0615 16:08:26.865135 15946 net.cpp:408] mul2 <- mul10 I0615 16:08:26.865147 15946 net.cpp:382] mul2 -> mul2 I0615 16:08:26.865187 15946 net.cpp:124] Setting up mul2 I0615 16:08:26.865197 15946 net.cpp:131] Top shape: 10 9 8 (720) I0615 16:08:26.865208 15946 net.cpp:139] Memory required for data: 8640 I0615 16:08:26.865217 15946 net.cpp:202] mul2 does not need backward computation. I0615 16:08:26.865227 15946 net.cpp:202] mul10 does not need backward computation. I0615 16:08:26.865236 15946 net.cpp:202] input does not need backward computation. I0615 16:08:26.865245 15946 net.cpp:244] This network produces output mul2 I0615 16:08:26.865257 15946 net.cpp:257] Network initialization done. .I0615 16:08:26.888581 15946 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/tmp9xx4wy8x" snapshot_after_train: false I0615 16:08:26.888697 15946 solver.cpp:102] Creating training net from net file: /tmp/tmp9xx4wy8x I0615 16:08:26.888969 15946 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" } I0615 16:08:26.889134 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.889160 15946 net.cpp:86] Creating Layer data I0615 16:08:26.889178 15946 net.cpp:382] data -> data I0615 16:08:26.889207 15946 net.cpp:382] data -> label I0615 16:08:26.889240 15946 net.cpp:124] Setting up data I0615 16:08:26.889253 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.889269 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.889282 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.889293 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.889315 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.889328 15946 net.cpp:408] conv <- data I0615 16:08:26.889346 15946 net.cpp:382] conv -> conv I0615 16:08:26.889410 15946 net.cpp:124] Setting up conv I0615 16:08:26.889427 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.889448 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.889479 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.889497 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.889509 15946 net.cpp:408] ip <- conv I0615 16:08:26.889524 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.889907 15946 net.cpp:124] Setting up ip I0615 16:08:26.889919 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.889932 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.889956 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.889972 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.889983 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.889995 15946 net.cpp:408] loss <- label I0615 16:08:26.890010 15946 net.cpp:382] loss -> loss I0615 16:08:26.890030 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.890061 15946 net.cpp:124] Setting up loss I0615 16:08:26.890072 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.890084 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.890102 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.890113 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.890125 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.890137 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.890148 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.890161 15946 net.cpp:244] This network produces output loss I0615 16:08:26.890175 15946 net.cpp:257] Network initialization done. I0615 16:08:26.890388 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp9xx4wy8x I0615 16:08:26.890434 15946 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" } I0615 16:08:26.890584 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.890602 15946 net.cpp:86] Creating Layer data I0615 16:08:26.890619 15946 net.cpp:382] data -> data I0615 16:08:26.890640 15946 net.cpp:382] data -> label I0615 16:08:26.890664 15946 net.cpp:124] Setting up data I0615 16:08:26.890676 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.890689 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.890702 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.890712 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.890731 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.890743 15946 net.cpp:408] conv <- data I0615 16:08:26.890758 15946 net.cpp:382] conv -> conv I0615 16:08:26.890803 15946 net.cpp:124] Setting up conv I0615 16:08:26.890815 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.890828 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.890848 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.890864 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.890875 15946 net.cpp:408] ip <- conv I0615 16:08:26.890890 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.891295 15946 net.cpp:124] Setting up ip I0615 16:08:26.891306 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.891319 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.891338 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.891353 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.891364 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.891376 15946 net.cpp:408] loss <- label I0615 16:08:26.891391 15946 net.cpp:382] loss -> loss I0615 16:08:26.891408 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.891441 15946 net.cpp:124] Setting up loss I0615 16:08:26.891455 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.891470 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.891485 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.891496 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.891508 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.891520 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.891531 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.891541 15946 net.cpp:244] This network produces output loss I0615 16:08:26.891557 15946 net.cpp:257] Network initialization done. I0615 16:08:26.891595 15946 solver.cpp:57] Solver scaffolding done. I0615 16:08:26.891728 15946 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/tmp9xx4wy8x" snapshot_after_train: false I0615 16:08:26.891780 15946 solver.cpp:102] Creating training net from net file: /tmp/tmp9xx4wy8x I0615 16:08:26.891980 15946 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" } I0615 16:08:26.892120 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.892138 15946 net.cpp:86] Creating Layer data I0615 16:08:26.892154 15946 net.cpp:382] data -> data I0615 16:08:26.892175 15946 net.cpp:382] data -> label I0615 16:08:26.892199 15946 net.cpp:124] Setting up data I0615 16:08:26.892210 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.892225 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.892284 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.892297 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.892318 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.892328 15946 net.cpp:408] conv <- data I0615 16:08:26.892344 15946 net.cpp:382] conv -> conv I0615 16:08:26.892388 15946 net.cpp:124] Setting up conv I0615 16:08:26.892400 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.892413 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.892434 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.892453 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.892467 15946 net.cpp:408] ip <- conv I0615 16:08:26.892486 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.892868 15946 net.cpp:124] Setting up ip I0615 16:08:26.892879 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.892890 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.892908 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.892930 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.892942 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.892954 15946 net.cpp:408] loss <- label I0615 16:08:26.892967 15946 net.cpp:382] loss -> loss I0615 16:08:26.892987 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.893018 15946 net.cpp:124] Setting up loss I0615 16:08:26.893029 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.893041 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.893056 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.893066 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.893079 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.893090 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.893102 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.893113 15946 net.cpp:244] This network produces output loss I0615 16:08:26.893128 15946 net.cpp:257] Network initialization done. I0615 16:08:26.893340 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp9xx4wy8x I0615 16:08:26.893376 15946 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" } I0615 16:08:26.893533 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.893553 15946 net.cpp:86] Creating Layer data I0615 16:08:26.893568 15946 net.cpp:382] data -> data I0615 16:08:26.893589 15946 net.cpp:382] data -> label I0615 16:08:26.893613 15946 net.cpp:124] Setting up data I0615 16:08:26.893625 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.893638 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.893651 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.893661 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.893680 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.893692 15946 net.cpp:408] conv <- data I0615 16:08:26.893708 15946 net.cpp:382] conv -> conv I0615 16:08:26.893752 15946 net.cpp:124] Setting up conv I0615 16:08:26.893764 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.893777 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.893797 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.893813 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.893824 15946 net.cpp:408] ip <- conv I0615 16:08:26.893839 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.894214 15946 net.cpp:124] Setting up ip I0615 16:08:26.894225 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.894237 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.894255 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.894273 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.894284 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.894296 15946 net.cpp:408] loss <- label I0615 16:08:26.894310 15946 net.cpp:382] loss -> loss I0615 16:08:26.894328 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.894353 15946 net.cpp:124] Setting up loss I0615 16:08:26.894364 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.894376 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.894390 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.894400 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.894412 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.894424 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.894436 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.894446 15946 net.cpp:244] This network produces output loss I0615 16:08:26.894462 15946 net.cpp:257] Network initialization done. I0615 16:08:26.894501 15946 solver.cpp:57] Solver scaffolding done. I0615 16:08:26.895603 15946 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I0615 16:08:26.912564 15946 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/tmpm_2xd2dz" snapshot_after_train: false I0615 16:08:26.912664 15946 solver.cpp:102] Creating training net from net file: /tmp/tmpm_2xd2dz I0615 16:08:26.912892 15946 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" } I0615 16:08:26.913046 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.913069 15946 net.cpp:86] Creating Layer data I0615 16:08:26.913082 15946 net.cpp:382] data -> data I0615 16:08:26.913108 15946 net.cpp:382] data -> label I0615 16:08:26.913136 15946 net.cpp:124] Setting up data I0615 16:08:26.913147 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.913161 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.913172 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.913180 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.913199 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.913209 15946 net.cpp:408] conv <- data I0615 16:08:26.913225 15946 net.cpp:382] conv -> conv I0615 16:08:26.913275 15946 net.cpp:124] Setting up conv I0615 16:08:26.913285 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.913296 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.913319 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.913334 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.913343 15946 net.cpp:408] ip <- conv I0615 16:08:26.913357 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.913669 15946 net.cpp:124] Setting up ip I0615 16:08:26.913678 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.913688 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.913704 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.913717 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.913727 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.913736 15946 net.cpp:408] loss <- label I0615 16:08:26.913748 15946 net.cpp:382] loss -> loss I0615 16:08:26.913764 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.913790 15946 net.cpp:124] Setting up loss I0615 16:08:26.913800 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.913810 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.913823 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.913831 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.913842 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.913851 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.913861 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.913870 15946 net.cpp:244] This network produces output loss I0615 16:08:26.913883 15946 net.cpp:257] Network initialization done. I0615 16:08:26.914072 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpm_2xd2dz I0615 16:08:26.914103 15946 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" } I0615 16:08:26.914223 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.914238 15946 net.cpp:86] Creating Layer data I0615 16:08:26.914252 15946 net.cpp:382] data -> data I0615 16:08:26.914269 15946 net.cpp:382] data -> label I0615 16:08:26.914289 15946 net.cpp:124] Setting up data I0615 16:08:26.914299 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.914309 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.914320 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.914330 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.914345 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.914355 15946 net.cpp:408] conv <- data I0615 16:08:26.914368 15946 net.cpp:382] conv -> conv I0615 16:08:26.914407 15946 net.cpp:124] Setting up conv I0615 16:08:26.914417 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.914427 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.914444 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.914458 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.914466 15946 net.cpp:408] ip <- conv I0615 16:08:26.914479 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.914789 15946 net.cpp:124] Setting up ip I0615 16:08:26.914798 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.914809 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.914825 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.914837 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.914845 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.914855 15946 net.cpp:408] loss <- label I0615 16:08:26.914866 15946 net.cpp:382] loss -> loss I0615 16:08:26.914881 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.914903 15946 net.cpp:124] Setting up loss I0615 16:08:26.914912 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.914922 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.914933 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.914942 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.914952 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.914960 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.914970 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.914979 15946 net.cpp:244] This network produces output loss I0615 16:08:26.914994 15946 net.cpp:257] Network initialization done. I0615 16:08:26.915037 15946 solver.cpp:57] Solver scaffolding done. I0615 16:08:26.915139 15946 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/tmpm_2xd2dz" snapshot_after_train: false I0615 16:08:26.915182 15946 solver.cpp:102] Creating training net from net file: /tmp/tmpm_2xd2dz I0615 16:08:26.915346 15946 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" } I0615 16:08:26.915465 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.915485 15946 net.cpp:86] Creating Layer data I0615 16:08:26.915503 15946 net.cpp:382] data -> data I0615 16:08:26.915527 15946 net.cpp:382] data -> label I0615 16:08:26.915547 15946 net.cpp:124] Setting up data I0615 16:08:26.915556 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.915567 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.915578 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.915587 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.915602 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.915611 15946 net.cpp:408] conv <- data I0615 16:08:26.915624 15946 net.cpp:382] conv -> conv I0615 16:08:26.915663 15946 net.cpp:124] Setting up conv I0615 16:08:26.915673 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.915683 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.915700 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.915714 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.915724 15946 net.cpp:408] ip <- conv I0615 16:08:26.915735 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.916045 15946 net.cpp:124] Setting up ip I0615 16:08:26.916056 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.916066 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.916082 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.916095 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.916103 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.916113 15946 net.cpp:408] loss <- label I0615 16:08:26.916124 15946 net.cpp:382] loss -> loss I0615 16:08:26.916139 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.916162 15946 net.cpp:124] Setting up loss I0615 16:08:26.916170 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.916180 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.916191 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.916200 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.916210 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.916218 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.916455 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.916468 15946 net.cpp:244] This network produces output loss I0615 16:08:26.916481 15946 net.cpp:257] Network initialization done. I0615 16:08:26.916666 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpm_2xd2dz I0615 16:08:26.916697 15946 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" } I0615 16:08:26.916818 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.916833 15946 net.cpp:86] Creating Layer data I0615 16:08:26.916847 15946 net.cpp:382] data -> data I0615 16:08:26.916864 15946 net.cpp:382] data -> label I0615 16:08:26.916885 15946 net.cpp:124] Setting up data I0615 16:08:26.916894 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.916905 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.916916 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.916924 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.916941 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.916950 15946 net.cpp:408] conv <- data I0615 16:08:26.916965 15946 net.cpp:382] conv -> conv I0615 16:08:26.917001 15946 net.cpp:124] Setting up conv I0615 16:08:26.917011 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.917021 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.917043 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.917059 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.917071 15946 net.cpp:408] ip <- conv I0615 16:08:26.917085 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.917393 15946 net.cpp:124] Setting up ip I0615 16:08:26.917403 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.917413 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.917428 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.917440 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.917449 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.917459 15946 net.cpp:408] loss <- label I0615 16:08:26.917470 15946 net.cpp:382] loss -> loss I0615 16:08:26.917485 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.917506 15946 net.cpp:124] Setting up loss I0615 16:08:26.917515 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.917526 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.917537 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.917546 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.917555 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.917564 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.917574 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.917582 15946 net.cpp:244] This network produces output loss I0615 16:08:26.917595 15946 net.cpp:257] Network initialization done. I0615 16:08:26.917624 15946 solver.cpp:57] Solver scaffolding done. .I0615 16:08:26.936507 15946 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/tmpqjmamh2i" snapshot_after_train: false I0615 16:08:26.936636 15946 solver.cpp:102] Creating training net from net file: /tmp/tmpqjmamh2i I0615 16:08:26.936911 15946 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" } I0615 16:08:26.937078 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.937101 15946 net.cpp:86] Creating Layer data I0615 16:08:26.937120 15946 net.cpp:382] data -> data I0615 16:08:26.937150 15946 net.cpp:382] data -> label I0615 16:08:26.937182 15946 net.cpp:124] Setting up data I0615 16:08:26.937196 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.937213 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.937229 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.937242 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.937265 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.937279 15946 net.cpp:408] conv <- data I0615 16:08:26.937300 15946 net.cpp:382] conv -> conv I0615 16:08:26.937356 15946 net.cpp:124] Setting up conv I0615 16:08:26.937371 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.937386 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.937414 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.937431 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.937441 15946 net.cpp:408] ip <- conv I0615 16:08:26.937453 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.937795 15946 net.cpp:124] Setting up ip I0615 16:08:26.937806 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.937817 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.937834 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.937849 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.937858 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.937868 15946 net.cpp:408] loss <- label I0615 16:08:26.937880 15946 net.cpp:382] loss -> loss I0615 16:08:26.937897 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.937933 15946 net.cpp:124] Setting up loss I0615 16:08:26.937947 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.937961 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.937981 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.937991 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.938001 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.938010 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.938020 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.938030 15946 net.cpp:244] This network produces output loss I0615 16:08:26.938043 15946 net.cpp:257] Network initialization done. I0615 16:08:26.938225 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpqjmamh2i I0615 16:08:26.938256 15946 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" } I0615 16:08:26.938392 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.938410 15946 net.cpp:86] Creating Layer data I0615 16:08:26.938422 15946 net.cpp:382] data -> data I0615 16:08:26.938439 15946 net.cpp:382] data -> label I0615 16:08:26.938459 15946 net.cpp:124] Setting up data I0615 16:08:26.938468 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.938480 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.938490 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.938499 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.938515 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.938524 15946 net.cpp:408] conv <- data I0615 16:08:26.938539 15946 net.cpp:382] conv -> conv I0615 16:08:26.938576 15946 net.cpp:124] Setting up conv I0615 16:08:26.938585 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.938596 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.938612 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.938625 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.938637 15946 net.cpp:408] ip <- conv I0615 16:08:26.938653 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.938966 15946 net.cpp:124] Setting up ip I0615 16:08:26.938975 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.938987 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.939002 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.939015 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.939023 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.939033 15946 net.cpp:408] loss <- label I0615 16:08:26.939044 15946 net.cpp:382] loss -> loss I0615 16:08:26.939059 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.939081 15946 net.cpp:124] Setting up loss I0615 16:08:26.939090 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.939100 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.939112 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.939121 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.939131 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.939139 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.939149 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.939157 15946 net.cpp:244] This network produces output loss I0615 16:08:26.939170 15946 net.cpp:257] Network initialization done. I0615 16:08:26.939201 15946 solver.cpp:57] Solver scaffolding done. I0615 16:08:26.939296 15946 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/tmpqjmamh2i" snapshot_after_train: false I0615 16:08:26.939339 15946 solver.cpp:102] Creating training net from net file: /tmp/tmpqjmamh2i I0615 16:08:26.939503 15946 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" } I0615 16:08:26.939618 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.939635 15946 net.cpp:86] Creating Layer data I0615 16:08:26.939648 15946 net.cpp:382] data -> data I0615 16:08:26.939668 15946 net.cpp:382] data -> label I0615 16:08:26.939694 15946 net.cpp:124] Setting up data I0615 16:08:26.939704 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.939715 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.939726 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.939735 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.939750 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.939759 15946 net.cpp:408] conv <- data I0615 16:08:26.939774 15946 net.cpp:382] conv -> conv I0615 16:08:26.939810 15946 net.cpp:124] Setting up conv I0615 16:08:26.939819 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.939829 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.939846 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.939859 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.939868 15946 net.cpp:408] ip <- conv I0615 16:08:26.939880 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.940184 15946 net.cpp:124] Setting up ip I0615 16:08:26.940193 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.940203 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.940218 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.940532 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.940543 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.940554 15946 net.cpp:408] loss <- label I0615 16:08:26.940567 15946 net.cpp:382] loss -> loss I0615 16:08:26.940582 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.940605 15946 net.cpp:124] Setting up loss I0615 16:08:26.940614 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.940625 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.940639 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.940647 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.940657 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.940666 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.940680 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.940690 15946 net.cpp:244] This network produces output loss I0615 16:08:26.940706 15946 net.cpp:257] Network initialization done. I0615 16:08:26.940886 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpqjmamh2i I0615 16:08:26.940917 15946 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" } I0615 16:08:26.989615 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:26.989673 15946 net.cpp:86] Creating Layer data I0615 16:08:26.989697 15946 net.cpp:382] data -> data I0615 16:08:26.989737 15946 net.cpp:382] data -> label I0615 16:08:26.989780 15946 net.cpp:124] Setting up data I0615 16:08:26.989796 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:26.989818 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:26.989835 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:26.989850 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:26.989878 15946 net.cpp:86] Creating Layer conv I0615 16:08:26.989893 15946 net.cpp:408] conv <- data I0615 16:08:26.989917 15946 net.cpp:382] conv -> conv I0615 16:08:26.989984 15946 net.cpp:124] Setting up conv I0615 16:08:26.989998 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:26.990015 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:26.990048 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:26.990072 15946 net.cpp:86] Creating Layer ip I0615 16:08:26.990085 15946 net.cpp:408] ip <- conv I0615 16:08:26.990106 15946 net.cpp:382] ip -> ip_blob I0615 16:08:26.990593 15946 net.cpp:124] Setting up ip I0615 16:08:26.990607 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:26.990623 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:26.990648 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.990667 15946 net.cpp:86] Creating Layer loss I0615 16:08:26.990681 15946 net.cpp:408] loss <- ip_blob I0615 16:08:26.990696 15946 net.cpp:408] loss <- label I0615 16:08:26.990715 15946 net.cpp:382] loss -> loss I0615 16:08:26.990744 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:26.990782 15946 net.cpp:124] Setting up loss I0615 16:08:26.990797 15946 net.cpp:131] Top shape: (1) I0615 16:08:26.990813 15946 net.cpp:134] with loss weight 1 I0615 16:08:26.990847 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:26.990861 15946 net.cpp:200] loss needs backward computation. I0615 16:08:26.990878 15946 net.cpp:200] ip needs backward computation. I0615 16:08:26.990892 15946 net.cpp:200] conv needs backward computation. I0615 16:08:26.990908 15946 net.cpp:202] data does not need backward computation. I0615 16:08:26.990924 15946 net.cpp:244] This network produces output loss I0615 16:08:26.990944 15946 net.cpp:257] Network initialization done. I0615 16:08:26.991029 15946 solver.cpp:57] Solver scaffolding done. I0615 16:08:26.992537 15946 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I0615 16:08:27.080512 15946 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I0615 16:08:27.200881 15946 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/tmpgtx4f80t" snapshot_after_train: false I0615 16:08:27.201022 15946 solver.cpp:102] Creating training net from net file: /tmp/tmpgtx4f80t I0615 16:08:27.201228 15946 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" } I0615 16:08:27.201347 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:27.201365 15946 net.cpp:86] Creating Layer data I0615 16:08:27.201377 15946 net.cpp:382] data -> data I0615 16:08:27.201398 15946 net.cpp:382] data -> label I0615 16:08:27.201423 15946 net.cpp:124] Setting up data I0615 16:08:27.201432 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:27.201443 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:27.201452 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:27.201460 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:27.201475 15946 net.cpp:86] Creating Layer conv I0615 16:08:27.201483 15946 net.cpp:408] conv <- data I0615 16:08:27.201494 15946 net.cpp:382] conv -> conv I0615 16:08:27.201539 15946 net.cpp:124] Setting up conv I0615 16:08:27.201546 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:27.201555 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:27.201575 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:27.201587 15946 net.cpp:86] Creating Layer ip I0615 16:08:27.201594 15946 net.cpp:408] ip <- conv I0615 16:08:27.201606 15946 net.cpp:382] ip -> ip_blob I0615 16:08:27.201836 15946 net.cpp:124] Setting up ip I0615 16:08:27.201845 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:27.201854 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:27.201869 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.201880 15946 net.cpp:86] Creating Layer loss I0615 16:08:27.201887 15946 net.cpp:408] loss <- ip_blob I0615 16:08:27.201896 15946 net.cpp:408] loss <- label I0615 16:08:27.201906 15946 net.cpp:382] loss -> loss I0615 16:08:27.201920 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.201944 15946 net.cpp:124] Setting up loss I0615 16:08:27.201951 15946 net.cpp:131] Top shape: (1) I0615 16:08:27.201961 15946 net.cpp:134] with loss weight 1 I0615 16:08:27.201974 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:27.201982 15946 net.cpp:200] loss needs backward computation. I0615 16:08:27.201990 15946 net.cpp:200] ip needs backward computation. I0615 16:08:27.201997 15946 net.cpp:200] conv needs backward computation. I0615 16:08:27.202005 15946 net.cpp:202] data does not need backward computation. I0615 16:08:27.202013 15946 net.cpp:244] This network produces output loss I0615 16:08:27.202024 15946 net.cpp:257] Network initialization done. I0615 16:08:27.202176 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpgtx4f80t I0615 16:08:27.202203 15946 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" } I0615 16:08:27.202311 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:27.202324 15946 net.cpp:86] Creating Layer data I0615 16:08:27.202337 15946 net.cpp:382] data -> data I0615 16:08:27.202352 15946 net.cpp:382] data -> label I0615 16:08:27.202368 15946 net.cpp:124] Setting up data I0615 16:08:27.202375 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:27.202384 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:27.202394 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:27.202401 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:27.202415 15946 net.cpp:86] Creating Layer conv I0615 16:08:27.202422 15946 net.cpp:408] conv <- data I0615 16:08:27.202433 15946 net.cpp:382] conv -> conv I0615 16:08:27.202468 15946 net.cpp:124] Setting up conv I0615 16:08:27.202477 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:27.202486 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:27.202502 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:27.202512 15946 net.cpp:86] Creating Layer ip I0615 16:08:27.202520 15946 net.cpp:408] ip <- conv I0615 16:08:27.202530 15946 net.cpp:382] ip -> ip_blob I0615 16:08:27.202759 15946 net.cpp:124] Setting up ip I0615 16:08:27.202767 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:27.202775 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:27.202790 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.202803 15946 net.cpp:86] Creating Layer loss I0615 16:08:27.202811 15946 net.cpp:408] loss <- ip_blob I0615 16:08:27.202819 15946 net.cpp:408] loss <- label I0615 16:08:27.202828 15946 net.cpp:382] loss -> loss I0615 16:08:27.202841 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.202860 15946 net.cpp:124] Setting up loss I0615 16:08:27.202868 15946 net.cpp:131] Top shape: (1) I0615 16:08:27.202877 15946 net.cpp:134] with loss weight 1 I0615 16:08:27.202886 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:27.202893 15946 net.cpp:200] loss needs backward computation. I0615 16:08:27.202903 15946 net.cpp:200] ip needs backward computation. I0615 16:08:27.202909 15946 net.cpp:200] conv needs backward computation. I0615 16:08:27.202919 15946 net.cpp:202] data does not need backward computation. I0615 16:08:27.202925 15946 net.cpp:244] This network produces output loss I0615 16:08:27.202936 15946 net.cpp:257] Network initialization done. I0615 16:08:27.202965 15946 solver.cpp:57] Solver scaffolding done. I0615 16:08:27.203063 15946 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/tmpgtx4f80t" snapshot_after_train: false I0615 16:08:27.203104 15946 solver.cpp:102] Creating training net from net file: /tmp/tmpgtx4f80t I0615 16:08:27.203253 15946 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" } I0615 16:08:27.203354 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:27.203367 15946 net.cpp:86] Creating Layer data I0615 16:08:27.203378 15946 net.cpp:382] data -> data I0615 16:08:27.203392 15946 net.cpp:382] data -> label I0615 16:08:27.203408 15946 net.cpp:124] Setting up data I0615 16:08:27.203415 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:27.203424 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:27.203433 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:27.203439 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:27.203451 15946 net.cpp:86] Creating Layer conv I0615 16:08:27.203459 15946 net.cpp:408] conv <- data I0615 16:08:27.203469 15946 net.cpp:382] conv -> conv I0615 16:08:27.203501 15946 net.cpp:124] Setting up conv I0615 16:08:27.203508 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:27.203517 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:27.203531 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:27.203541 15946 net.cpp:86] Creating Layer ip I0615 16:08:27.203548 15946 net.cpp:408] ip <- conv I0615 16:08:27.203558 15946 net.cpp:382] ip -> ip_blob I0615 16:08:27.203781 15946 net.cpp:124] Setting up ip I0615 16:08:27.203788 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:27.203797 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:27.203810 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.203824 15946 net.cpp:86] Creating Layer loss I0615 16:08:27.203837 15946 net.cpp:408] loss <- ip_blob I0615 16:08:27.203852 15946 net.cpp:408] loss <- label I0615 16:08:27.203866 15946 net.cpp:382] loss -> loss I0615 16:08:27.203881 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.203902 15946 net.cpp:124] Setting up loss I0615 16:08:27.203909 15946 net.cpp:131] Top shape: (1) I0615 16:08:27.203917 15946 net.cpp:134] with loss weight 1 I0615 16:08:27.203930 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:27.203945 15946 net.cpp:200] loss needs backward computation. I0615 16:08:27.203955 15946 net.cpp:200] ip needs backward computation. I0615 16:08:27.203964 15946 net.cpp:200] conv needs backward computation. I0615 16:08:27.203974 15946 net.cpp:202] data does not need backward computation. I0615 16:08:27.203982 15946 net.cpp:244] This network produces output loss I0615 16:08:27.203994 15946 net.cpp:257] Network initialization done. I0615 16:08:27.204177 15946 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpgtx4f80t I0615 16:08:27.204210 15946 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" } I0615 16:08:27.204388 15946 layer_factory.hpp:77] Creating layer data I0615 16:08:27.204406 15946 net.cpp:86] Creating Layer data I0615 16:08:27.204418 15946 net.cpp:382] data -> data I0615 16:08:27.204435 15946 net.cpp:382] data -> label I0615 16:08:27.204454 15946 net.cpp:124] Setting up data I0615 16:08:27.204464 15946 net.cpp:131] Top shape: 5 2 3 4 (120) I0615 16:08:27.204475 15946 net.cpp:131] Top shape: 5 1 1 1 (5) I0615 16:08:27.204486 15946 net.cpp:139] Memory required for data: 500 I0615 16:08:27.204494 15946 layer_factory.hpp:77] Creating layer conv I0615 16:08:27.204511 15946 net.cpp:86] Creating Layer conv I0615 16:08:27.204520 15946 net.cpp:408] conv <- data I0615 16:08:27.204533 15946 net.cpp:382] conv -> conv I0615 16:08:27.204571 15946 net.cpp:124] Setting up conv I0615 16:08:27.204579 15946 net.cpp:131] Top shape: 5 11 8 9 (3960) I0615 16:08:27.204591 15946 net.cpp:139] Memory required for data: 16340 I0615 16:08:27.204607 15946 layer_factory.hpp:77] Creating layer ip I0615 16:08:27.204620 15946 net.cpp:86] Creating Layer ip I0615 16:08:27.204628 15946 net.cpp:408] ip <- conv I0615 16:08:27.204641 15946 net.cpp:382] ip -> ip_blob I0615 16:08:27.204895 15946 net.cpp:124] Setting up ip I0615 16:08:27.204905 15946 net.cpp:131] Top shape: 5 13 (65) I0615 16:08:27.204916 15946 net.cpp:139] Memory required for data: 16600 I0615 16:08:27.204931 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.204942 15946 net.cpp:86] Creating Layer loss I0615 16:08:27.204952 15946 net.cpp:408] loss <- ip_blob I0615 16:08:27.204962 15946 net.cpp:408] loss <- label I0615 16:08:27.204972 15946 net.cpp:382] loss -> loss I0615 16:08:27.204988 15946 layer_factory.hpp:77] Creating layer loss I0615 16:08:27.205008 15946 net.cpp:124] Setting up loss I0615 16:08:27.205018 15946 net.cpp:131] Top shape: (1) I0615 16:08:27.205027 15946 net.cpp:134] with loss weight 1 I0615 16:08:27.205040 15946 net.cpp:139] Memory required for data: 16604 I0615 16:08:27.205049 15946 net.cpp:200] loss needs backward computation. I0615 16:08:27.205060 15946 net.cpp:200] ip needs backward computation. I0615 16:08:27.205068 15946 net.cpp:200] conv needs backward computation. I0615 16:08:27.205078 15946 net.cpp:202] data does not need backward computation. I0615 16:08:27.205087 15946 net.cpp:244] This network produces output loss I0615 16:08:27.205101 15946 net.cpp:257] Network initialization done. I0615 16:08:27.205132 15946 solver.cpp:57] Solver scaffolding done. I0615 16:08:27.205968 15946 solver.cpp:289] Solving testnet I0615 16:08:27.205982 15946 solver.cpp:290] Learning Rate Policy: inv I0615 16:08:27.206007 15946 solver.cpp:347] Iteration 0, Testing net (#0) I0615 16:08:27.207803 15946 solver.cpp:414] Test net output #0: loss = 67.001 (* 1 = 67.001 loss) I0615 16:08:27.208305 15946 solver.cpp:239] Iteration 0 (-1.01983e-29 iter/s, 0.002s/100 iters), loss = 82.2043 I0615 16:08:27.208333 15946 solver.cpp:258] Train net output #0: loss = 82.2043 (* 1 = 82.2043 loss) I0615 16:08:27.208346 15946 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I0615 16:08:27.213172 15946 solver.cpp:347] Iteration 10, Testing net (#0) I0615 16:08:27.214931 15946 solver.cpp:414] Test net output #0: loss = 73.3264 (* 1 = 73.3264 loss) I0615 16:08:27.220748 15946 solver.cpp:347] Iteration 20, Testing net (#0) I0615 16:08:27.222391 15946 solver.cpp:414] Test net output #0: loss = 74.6714 (* 1 = 74.6714 loss) I0615 16:08:27.227331 15946 solver.cpp:347] Iteration 30, Testing net (#0) I0615 16:08:27.229295 15946 solver.cpp:414] Test net output #0: loss = 83.3833 (* 1 = 83.3833 loss) I0615 16:08:27.234066 15946 solver.cpp:347] Iteration 40, Testing net (#0) I0615 16:08:27.235776 15946 solver.cpp:414] Test net output #0: loss = 72.4656 (* 1 = 72.4656 loss) I0615 16:08:27.240921 15946 solver.cpp:347] Iteration 50, Testing net (#0) I0615 16:08:27.242535 15946 solver.cpp:414] Test net output #0: loss = 68.5505 (* 1 = 68.5505 loss) I0615 16:08:27.247597 15946 solver.cpp:347] Iteration 60, Testing net (#0) I0615 16:08:27.249277 15946 solver.cpp:414] Test net output #0: loss = 74.4768 (* 1 = 74.4768 loss) I0615 16:08:27.260931 15946 solver.cpp:347] Iteration 70, Testing net (#0) I0615 16:08:27.264008 15946 solver.cpp:414] Test net output #0: loss = 75.5257 (* 1 = 75.5257 loss) I0615 16:08:27.271237 15946 solver.cpp:347] Iteration 80, Testing net (#0) I0615 16:08:27.273088 15946 solver.cpp:414] Test net output #0: loss = 67.9298 (* 1 = 67.9298 loss) I0615 16:08:27.278565 15946 solver.cpp:347] Iteration 90, Testing net (#0) I0615 16:08:27.280288 15946 solver.cpp:414] Test net output #0: loss = 72.6586 (* 1 = 72.6586 loss) I0615 16:08:27.285706 15946 solver.cpp:327] Iteration 100, loss = 46.4171 I0615 16:08:27.285727 15946 solver.cpp:347] Iteration 100, Testing net (#0) I0615 16:08:27.287400 15946 solver.cpp:414] Test net output #0: loss = 70.1963 (* 1 = 70.1963 loss) I0615 16:08:27.287413 15946 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 21.978s 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 -j10 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 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[4]: 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[4]: Entering directory '/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 -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/depend make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.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_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools 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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[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 -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/build make[4]: Leaving 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]: Leaving 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 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 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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 [ 85%] Built target convert_cifar_data 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" 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/build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/im2col.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/benchmark.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_lmdb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/io.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/cudnn.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/device_alternate.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/blocking_queue.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/hdf5.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/gpu_util.cuh -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/math_functions.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/mkl_alternate.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/insert_splits.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/rng.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/format.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/signal_handler.h -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_leveldb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/upgrade_proto.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/nccl.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/i386-linux-gnu/libcaffe.so.1.0.0 -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/i386-linux-gnu/libcaffe.so -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/i386-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 -- 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/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 -- 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/caffe_pb2.py -- 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/__init__.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/draw.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/__pycache__ -- 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/coord_map.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/net_spec.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-i386-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 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-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 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 caffe-doc: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-tools-cpu: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package libcaffe-cpu1: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O--buildsystem=cmake dh_builddeb -O--buildsystem=cmake dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-2_all.deb'. dpkg-deb: building package 'libcaffe-cpu-dev' in '../libcaffe-cpu-dev_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-deb: building package 'python3-caffe-cpu' in '../python3-caffe-cpu_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-deb: building package 'caffe-cpu' in '../caffe-cpu_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-deb: building package 'caffe-tools-cpu' in '../caffe-tools-cpu_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-deb: building package 'libcaffe-cpu1' in '../libcaffe-cpu1_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-deb: building package 'python3-caffe-cpu-dbgsym' in '../python3-caffe-cpu-dbgsym_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-deb: building package 'libcaffe-cpu1-dbgsym' in '../libcaffe-cpu1-dbgsym_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-deb: building package 'caffe-tools-cpu-dbgsym' in '../caffe-tools-cpu-dbgsym_1.0.0+git20180821.99bd997-2_i386.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-2_i386.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) I: copying local configuration I: user script /srv/workspace/pbuilder/477/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/477/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/477 and its subdirectories I: Current time: Mon Jun 15 16:24:06 +14 2020 I: pbuilder-time-stamp: 1592187846