I: pbuilder: network access will be disabled during build I: Current time: Sun Jul 18 09:24:18 +14 2021 I: pbuilder-time-stamp: 1626549858 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [caffe_1.0.0+git20180821.99bd997-8.dsc] I: copying [./caffe_1.0.0+git20180821.99bd997.orig.tar.gz] I: copying [./caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' gpgv: keyblock resource '/tmp/dpkg-verify-sig.6eVLd3Di/trustedkeys.kbx': General error gpgv: Signature made Sat Nov 21 21:51:48 2020 +14 gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A gpgv: issuer "lumin@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./caffe_1.0.0+git20180821.99bd997-8.dsc dpkg-source: info: extracting caffe in caffe-1.0.0+git20180821.99bd997 dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997.orig.tar.gz dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying cmake-using-basic-blas dpkg-source: info: applying cmake-fix-python-module-installdir dpkg-source: info: applying fix-more-float-comparison-precision-issue2 dpkg-source: info: applying cmake-link-correct-python-lib.patch dpkg-source: info: applying 6693.diff dpkg-source: info: applying pyrequire-no-leveldb.patch I: using fakeroot in build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/3330/tmp/hooks/D01_modify_environment starting debug: Running on codethink16-arm64. 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/3330/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/3330/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]="1" [2]="4" [3]="1" [4]="release" [5]="aarch64-unknown-linux-gnu") BASH_VERSION='5.1.4(1)-release' BUILDDIR=/build BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=arm64 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=8' DIRSTACK=() DISTRIBUTION= EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/var/lib/jenkins HOSTNAME=i-capture-the-hostname HOSTTYPE=aarch64 HOST_ARCH=arm64 IFS=' ' LANG=C LANGUAGE=nl_BE:nl LC_ALL=C MACHTYPE=aarch64-unknown-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=3330 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.4frKnk2Lej/pbuilderrc_16oW --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.4frKnk2Lej/b2 --logfile b2/build.log --extrapackages usrmerge caffe_1.0.0+git20180821.99bd997-8.dsc' SUDO_GID=117 SUDO_UID=110 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root USERNAME=root _='I: set' http_proxy=http://192.168.101.16:3128 I: uname -a Linux i-capture-the-hostname 4.15.0-147-generic #151-Ubuntu SMP Fri Jun 18 19:18:37 UTC 2021 aarch64 GNU/Linux I: ls -l /bin total 5252 -rwxr-xr-x 1 root root 1282512 Jun 22 16:26 bash -rwxr-xr-x 3 root root 34808 Jul 21 2020 bunzip2 -rwxr-xr-x 3 root root 34808 Jul 21 2020 bzcat lrwxrwxrwx 1 root root 6 Jul 21 2020 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2225 Jul 21 2020 bzdiff lrwxrwxrwx 1 root root 6 Jul 21 2020 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Sep 5 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 21 2020 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3775 Jul 21 2020 bzgrep -rwxr-xr-x 3 root root 34808 Jul 21 2020 bzip2 -rwxr-xr-x 1 root root 14264 Jul 21 2020 bzip2recover lrwxrwxrwx 1 root root 6 Jul 21 2020 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 21 2020 bzmore -rwxr-xr-x 1 root root 39832 Sep 23 2020 cat -rwxr-xr-x 1 root root 64512 Sep 23 2020 chgrp -rwxr-xr-x 1 root root 60368 Sep 23 2020 chmod -rwxr-xr-x 1 root root 64528 Sep 23 2020 chown -rwxr-xr-x 1 root root 138896 Sep 23 2020 cp -rwxr-xr-x 1 root root 129544 Dec 11 2020 dash -rwxr-xr-x 1 root root 101384 Sep 23 2020 date -rwxr-xr-x 1 root root 80984 Sep 23 2020 dd -rwxr-xr-x 1 root root 89824 Sep 23 2020 df -rwxr-xr-x 1 root root 143088 Sep 23 2020 dir -rwxr-xr-x 1 root root 76152 Feb 8 04:38 dmesg lrwxrwxrwx 1 root root 8 Nov 8 2019 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Nov 8 2019 domainname -> hostname -rwxr-xr-x 1 root root 35632 Sep 23 2020 echo -rwxr-xr-x 1 root root 28 Nov 10 2020 egrep -rwxr-xr-x 1 root root 31512 Sep 23 2020 false -rwxr-xr-x 1 root root 28 Nov 10 2020 fgrep -rwxr-xr-x 1 root root 64856 Feb 8 04:38 findmnt -rwsr-xr-x 1 root root 34824 Feb 27 06:12 fusermount -rwxr-xr-x 1 root root 178400 Nov 10 2020 grep -rwxr-xr-x 2 root root 2346 Mar 3 13:30 gunzip -rwxr-xr-x 1 root root 6376 Mar 3 13:30 gzexe -rwxr-xr-x 1 root root 93744 Mar 3 13:30 gzip -rwxr-xr-x 1 root root 18440 Nov 8 2019 hostname -rwxr-xr-x 1 root root 68720 Sep 23 2020 ln -rwxr-xr-x 1 root root 52720 Feb 8 2020 login -rwxr-xr-x 1 root root 143088 Sep 23 2020 ls -rwxr-xr-x 1 root root 161960 Feb 8 04:38 lsblk -rwxr-xr-x 1 root root 85200 Sep 23 2020 mkdir -rwxr-xr-x 1 root root 68744 Sep 23 2020 mknod -rwxr-xr-x 1 root root 43976 Sep 23 2020 mktemp -rwxr-xr-x 1 root root 51368 Feb 8 04:38 more -rwsr-xr-x 1 root root 51360 Feb 8 04:38 mount -rwxr-xr-x 1 root root 14496 Feb 8 04:38 mountpoint -rwxr-xr-x 1 root root 134808 Sep 23 2020 mv lrwxrwxrwx 1 root root 8 Nov 8 2019 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Apr 19 05:38 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 35720 Sep 23 2020 pwd lrwxrwxrwx 1 root root 4 Jun 22 16:26 rbash -> bash -rwxr-xr-x 1 root root 43872 Sep 23 2020 readlink -rwxr-xr-x 1 root root 68592 Sep 23 2020 rm -rwxr-xr-x 1 root root 43880 Sep 23 2020 rmdir -rwxr-xr-x 1 root root 19208 Sep 28 2020 run-parts -rwxr-xr-x 1 root root 114016 Dec 23 2018 sed lrwxrwxrwx 1 root root 4 Jul 18 09:24 sh -> bash lrwxrwxrwx 1 root root 4 Jul 16 23:24 sh.distrib -> dash -rwxr-xr-x 1 root root 35656 Sep 23 2020 sleep -rwxr-xr-x 1 root root 72640 Sep 23 2020 stty -rwsr-xr-x 1 root root 67776 Feb 8 04:38 su -rwxr-xr-x 1 root root 35672 Sep 23 2020 sync -rwxr-xr-x 1 root root 535768 Feb 17 23:55 tar -rwxr-xr-x 1 root root 10568 Sep 28 2020 tempfile -rwxr-xr-x 1 root root 89120 Sep 23 2020 touch -rwxr-xr-x 1 root root 31512 Sep 23 2020 true -rwxr-xr-x 1 root root 14264 Feb 27 06:12 ulockmgr_server -rwsr-xr-x 1 root root 30880 Feb 8 04:38 umount -rwxr-xr-x 1 root root 35640 Sep 23 2020 uname -rwxr-xr-x 2 root root 2346 Mar 3 13:30 uncompress -rwxr-xr-x 1 root root 143088 Sep 23 2020 vdir -rwxr-xr-x 1 root root 59584 Feb 8 04:38 wdctl lrwxrwxrwx 1 root root 8 Nov 8 2019 ypdomainname -> hostname -rwxr-xr-x 1 root root 1984 Mar 3 13:30 zcat -rwxr-xr-x 1 root root 1678 Mar 3 13:30 zcmp -rwxr-xr-x 1 root root 5880 Mar 3 13:30 zdiff -rwxr-xr-x 1 root root 29 Mar 3 13:30 zegrep -rwxr-xr-x 1 root root 29 Mar 3 13:30 zfgrep -rwxr-xr-x 1 root root 2081 Mar 3 13:30 zforce -rwxr-xr-x 1 root root 7585 Mar 3 13:30 zgrep -rwxr-xr-x 1 root root 2206 Mar 3 13:30 zless -rwxr-xr-x 1 root root 1842 Mar 3 13:30 zmore -rwxr-xr-x 1 root root 4553 Mar 3 13:30 znew I: user script /srv/workspace/pbuilder/3330/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: arm64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: bc, cmake, bash-completion, debhelper-compat (= 13), dh-python, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4), libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml, doxygen, doxygen-latex dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19646 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on bc; however: Package bc is not installed. pbuilder-satisfydepends-dummy depends on cmake; however: Package cmake is not installed. pbuilder-satisfydepends-dummy depends on bash-completion; however: Package bash-completion is not installed. pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on libboost-dev; however: Package libboost-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-filesystem-dev; however: Package libboost-filesystem-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-system-dev; however: Package libboost-system-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-thread-dev; however: Package libboost-thread-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-python-dev; however: Package libboost-python-dev is not installed. pbuilder-satisfydepends-dummy depends on libgflags-dev; however: Package libgflags-dev is not installed. pbuilder-satisfydepends-dummy depends on libgoogle-glog-dev; however: Package libgoogle-glog-dev is not installed. pbuilder-satisfydepends-dummy depends on libhdf5-dev; however: Package libhdf5-dev is not installed. pbuilder-satisfydepends-dummy depends on libleveldb-dev; however: Package libleveldb-dev is not installed. pbuilder-satisfydepends-dummy depends on liblmdb-dev; however: Package liblmdb-dev is not installed. pbuilder-satisfydepends-dummy depends on libblas-dev | libblas.so; however: Package libblas-dev is not installed. Package libblas.so is not installed. pbuilder-satisfydepends-dummy depends on libopencv-dev (>= 2.4); however: Package libopencv-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotobuf-dev; however: Package libprotobuf-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotoc-dev; however: Package libprotoc-dev is not installed. pbuilder-satisfydepends-dummy depends on libsnappy-dev; however: Package libsnappy-dev is not installed. pbuilder-satisfydepends-dummy depends on protobuf-compiler; however: Package protobuf-compiler is not installed. pbuilder-satisfydepends-dummy depends on python3-dev; however: Package python3-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on cython3; however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on ipython3; however: Package ipython3 is not installed. pbuilder-satisfydepends-dummy depends on python3; however: Package python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-distutils; however: Package python3-distutils is not installed. pbuilder-satisfydepends-dummy depends on python3-skimage; however: Package python3-skimage is not installed. pbuilder-satisfydepends-dummy depends on python3-protobuf; however: Package python3-protobuf is not installed. pbuilder-satisfydepends-dummy depends on python3-dateutil; however: Package python3-dateutil is not installed. pbuilder-satisfydepends-dummy depends on python3-gflags; however: Package python3-gflags is not installed. pbuilder-satisfydepends-dummy depends on python3-h5py; however: Package python3-h5py is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-networkx; however: Package python3-networkx is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-pandas; however: Package python3-pandas is not installed. pbuilder-satisfydepends-dummy depends on python3-pil; however: Package python3-pil is not installed. pbuilder-satisfydepends-dummy depends on python3-pydotplus; however: Package python3-pydotplus is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-yaml; however: Package python3-yaml is not installed. pbuilder-satisfydepends-dummy depends on doxygen; however: Package doxygen is not installed. pbuilder-satisfydepends-dummy depends on doxygen-latex; however: Package doxygen-latex is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: adwaita-icon-theme{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bash-completion{a} bc{a} bsdextrautils{a} cm-super-minimal{a} cmake{a} cmake-data{a} cython3{a} dbus{a} dbus-user-session{a} dconf-gsettings-backend{a} dconf-service{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dmsetup{a} doxygen{a} doxygen-latex{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-lyx{a} fonts-urw-base35{a} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} glib-networking{a} glib-networking-common{a} glib-networking-services{a} graphviz{a} groff-base{a} gsettings-desktop-schemas{a} gtk-update-icon-cache{a} hdf5-helpers{a} hicolor-icon-theme{a} intltool-debian{a} ipython3{a} iso-codes{a} libaec-dev{a} libaec0{a} libann0{a} libaom0{a} libapache-pom-java{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo10{a} libarpack2{a} libatk-bridge2.0-0{a} libatk1.0-0{a} libatk1.0-data{a} libatspi2.0-0{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavcodec-dev{a} libavcodec58{a} libavformat-dev{a} libavformat58{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.74-dev{a} libboost-atomic1.74.0{a} libboost-chrono1.74-dev{a} libboost-chrono1.74.0{a} libboost-date-time1.74-dev{a} libboost-date-time1.74.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.74-dev{a} libboost-filesystem1.74.0{a} libboost-python-dev{a} libboost-python1.74-dev{a} libboost-python1.74.0{a} libboost-serialization1.74-dev{a} libboost-serialization1.74.0{a} libboost-system-dev{a} libboost-system1.74-dev{a} libboost-system1.74.0{a} libboost-thread-dev{a} libboost-thread1.74-dev{a} libboost-thread1.74.0{a} libboost1.74-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcap2-bin{a} libcdt5{a} libcfitsio9{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang-cpp11{a} libclang1-11{a} libcodec2-0.9{a} libcolord2{a} libcommons-logging-java{a} libcommons-parent-java{a} libcryptsetup12{a} libcups2{a} libcurl3-gnutls{a} libcurl4{a} libdap27{a} libdapclient6v5{a} libdatrie1{a} libdav1d4{a} libdbus-1-3{a} libdc1394-25{a} libdc1394-dev{a} libdconf1{a} libde265-0{a} libdebhelper-perl{a} libdeflate-dev{a} libdeflate0{a} libdevmapper1.02.1{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libdw1{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontbox-java{a} libfontconfig1{a} libfontenc1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal28{a} libgdcm-dev{a} libgdcm3.0{a} libgdk-pixbuf-2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.9.0{a} libgeos-c1v5{a} libgeotiff5{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglew2.1{a} libglib2.0-0{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgme0{a} libgoogle-glog-dev{a} libgoogle-glog0v5{a} libgphoto2-6{a} libgphoto2-dev{a} libgphoto2-port12{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgsm1{a} libgstreamer-plugins-base1.0-0{a} libgstreamer1.0-0{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103-1{a} libhdf5-cpp-103-1{a} libhdf5-dev{a} libhdf5-fortran-102{a} libhdf5-hl-100{a} libhdf5-hl-cpp-100{a} libhdf5-hl-fortran-100{a} libheif1{a} libice6{a} libicu67{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase25{a} libimagequant0{a} libip4tc2{a} libjbig-dev{a} libjbig0{a} libjbig2dec0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-c5{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp24{a} libkmlbase1{a} libkmldom1{a} libkmlengine1{a} libkmod2{a} libkpathsea6{a} liblab-gamut1{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} libldap-2.4-2{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm11{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzf1{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmd0{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec3{a} libmpg123-0{a} libncurses6{a} libnetcdf18{a} libnghttp2-14{a} libnorm1{a} libnspr4{a} libnss3{a} libnuma1{a} libodbc1{a} libogdi4.1{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d4.5{a} libopencv-contrib-dev{a} libopencv-contrib4.5{a} libopencv-core-dev{a} libopencv-core4.5{a} libopencv-dev{a} libopencv-dnn-dev{a} libopencv-dnn4.5{a} libopencv-features2d-dev{a} libopencv-features2d4.5{a} libopencv-flann-dev{a} libopencv-flann4.5{a} libopencv-highgui-dev{a} libopencv-highgui4.5{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs4.5{a} libopencv-imgproc-dev{a} libopencv-imgproc4.5{a} libopencv-ml-dev{a} libopencv-ml4.5{a} libopencv-objdetect-dev{a} libopencv-objdetect4.5{a} libopencv-photo-dev{a} libopencv-photo4.5{a} libopencv-shape-dev{a} libopencv-shape4.5{a} libopencv-stitching-dev{a} libopencv-stitching4.5{a} libopencv-superres-dev{a} libopencv-superres4.5{a} libopencv-video-dev{a} libopencv-video4.5{a} libopencv-videoio-dev{a} libopencv-videoio4.5{a} libopencv-videostab-dev{a} libopencv-videostab4.5{a} libopencv-viz-dev{a} libopencv-viz4.5{a} libopenexr-dev{a} libopenexr25{a} libopengl0{a} libopenjp2-7{a} libopenmpt0{a} libopus0{a} liborc-0.4-0{a} libpam-systemd{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpdfbox-java{a} libpgm-5.3-0{a} libpipeline1{a} libpixman-1-0{a} libpng-dev{a} libpng16-16{a} libpoppler102{a} libpq5{a} libprocps8{a} libproj19{a} libprotobuf-dev{a} libprotobuf-lite23{a} libprotobuf23{a} libprotoc-dev{a} libprotoc23{a} libproxy1v5{a} libpsl5{a} libptexenc1{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.9{a} libpython3.9-dev{a} libpython3.9-minimal{a} libpython3.9-stdlib{a} libqhull8.0{a} librabbitmq4{a} libraw1394-11{a} libraw1394-dev{a} libreadline8{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librtmp1{a} librttopo1{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libshine3{a} libsigsegv2{a} libsm6{a} libsnappy-dev{a} libsnappy1v5{a} libsocket++1{a} libsodium23{a} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libsrt1.4-gnutls{a} libssh-gcrypt-4{a} libssh2-1{a} libsub-override-perl{a} libsuperlu5{a} libswresample-dev{a} libswresample3{a} libswscale-dev{a} libswscale5{a} libsynctex2{a} libsz2{a} libtbb-dev{a} libtbb2{a} libtcl8.6{a} libteckit0{a} libtesseract4{a} libtexlua53{a} libthai-data{a} libthai0{a} libtheora0{a} libtiff-dev{a} libtiff5{a} libtiffxx5{a} libtk8.6{a} libtool{a} libtwolame0{a} libuchardet0{a} libudfread0{a} libunicode-linebreak-perl{a} libunwind8{a} liburiparser1{a} libusb-1.0-0{a} libuv1{a} libva-drm2{a} libva-x11-2{a} libva2{a} libvdpau1{a} libvorbis0a{a} libvorbisenc2{a} libvorbisfile3{a} libvpx6{a} libvtk9{a} libvulkan1{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-160{a} libx265-192{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-xfixes0{a} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxerces-c3.2{a} libxext6{a} libxfixes3{a} libxft2{a} libxi6{a} libxinerama1{a} libxkbcommon0{a} libxml2{a} libxmu6{a} libxpm4{a} libxrandr2{a} libxrender1{a} libxshmfence1{a} libxss1{a} libxt6{a} libxvidcore4{a} libxxf86vm1{a} libyaml-0-2{a} libz3-4{a} libzmq5{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lmodern{a} m4{a} mailcap{a} man-db{a} mariadb-common{a} media-types{a} mime-support{a} mysql-common{a} ocl-icd-libopencl1{a} odbcinst{a} odbcinst1debian2{a} pkg-config{a} po-debconf{a} poppler-data{a} preview-latex-style{a} procps{a} proj-data{a} protobuf-compiler{a} python-matplotlib-data{a} python3{a} python3-backcall{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-h5py-serial{a} python3-imageio{a} python3-ipython{a} python3-ipython-genutils{a} python3-jedi{a} python3-kiwisolver{a} python3-lib2to3{a} python3-matplotlib{a} python3-minimal{a} python3-networkx{a} python3-nose{a} python3-numpy{a} python3-pandas{a} python3-pandas-lib{a} python3-parso{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-protobuf{a} python3-ptyprocess{a} python3-pydotplus{a} python3-pygments{a} python3-pyparsing{a} python3-pywt{a} python3-scipy{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-tifffile{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.9{a} python3.9-dev{a} python3.9-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{a} systemd-timesyncd{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-extra-utils{a} texlive-font-utils{a} texlive-fonts-recommended{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-luatex{a} texlive-pictures{a} texlive-plain-generic{a} ttf-bitstream-vera{a} ucf{a} x11-common{a} xdg-utils{a} xfonts-encodings{a} xfonts-utils{a} xkb-data{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: at-spi2-core ca-certificates curl dvisvgm fonts-droid-fallback fonts-liberation gstreamer1.0-plugins-base javascript-common libaacs0 libarchive-cpio-perl libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin libldap-common liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libopencv4.5-java libpam-cap libpng-tools libraw1394-tools librsvg2-common libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lynx mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers opencv-data proj-bin ps2eps psmisc publicsuffix python3-bottleneck python3-bs4 python3-dask python3-gdal python3-html5lib python3-jinja2 python3-lxml python3-numexpr python3-odf python3-olefile python3-openpyxl python3-pydot python3-pygraphviz python3-pytest python3-tables python3-tk python3-xlwt ruby tex-gyre tipa tk va-driver-all vdpau-driver-all wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 552 newly installed, 0 to remove and 0 not upgraded. Need to get 530 MB of archives. After unpacking 1918 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian bullseye/main arm64 libapparmor1 arm64 2.13.6-10 [98.5 kB] Get: 2 http://deb.debian.org/debian bullseye/main arm64 libcap2 arm64 1:2.44-1 [23.2 kB] Get: 3 http://deb.debian.org/debian bullseye/main arm64 libargon2-1 arm64 0~20171227-0.2 [18.9 kB] Get: 4 http://deb.debian.org/debian bullseye/main arm64 dmsetup arm64 2:1.02.175-2.1 [85.1 kB] Get: 5 http://deb.debian.org/debian bullseye/main arm64 libdevmapper1.02.1 arm64 2:1.02.175-2.1 [126 kB] Get: 6 http://deb.debian.org/debian bullseye/main arm64 libjson-c5 arm64 0.15-2 [41.6 kB] Get: 7 http://deb.debian.org/debian bullseye/main arm64 libcryptsetup12 arm64 2:2.3.5-1 [226 kB] Get: 8 http://deb.debian.org/debian bullseye/main arm64 libip4tc2 arm64 1.8.7-1 [34.1 kB] Get: 9 http://deb.debian.org/debian bullseye/main arm64 libkmod2 arm64 28-1 [52.5 kB] Get: 10 http://deb.debian.org/debian bullseye/main arm64 systemd-timesyncd arm64 247.3-5 [129 kB] Get: 11 http://deb.debian.org/debian bullseye/main arm64 systemd arm64 247.3-5 [4151 kB] Get: 12 http://deb.debian.org/debian bullseye/main arm64 systemd-sysv arm64 247.3-5 [113 kB] Get: 13 http://deb.debian.org/debian bullseye/main arm64 libdbus-1-3 arm64 1.12.20-2 [208 kB] Get: 14 http://deb.debian.org/debian bullseye/main arm64 libexpat1 arm64 2.2.10-2 [83.1 kB] Get: 15 http://deb.debian.org/debian bullseye/main arm64 dbus arm64 1.12.20-2 [228 kB] Get: 16 http://deb.debian.org/debian bullseye/main arm64 bsdextrautils arm64 2.36.1-7 [141 kB] Get: 17 http://deb.debian.org/debian bullseye/main arm64 libuchardet0 arm64 0.0.7-1 [67.9 kB] Get: 18 http://deb.debian.org/debian bullseye/main arm64 groff-base arm64 1.22.4-6 [883 kB] Get: 19 http://deb.debian.org/debian bullseye/main arm64 libpipeline1 arm64 1.5.3-1 [33.0 kB] Get: 20 http://deb.debian.org/debian bullseye/main arm64 man-db arm64 2.9.4-2 [1336 kB] Get: 21 http://deb.debian.org/debian bullseye/main arm64 poppler-data all 0.4.10-1 [1602 kB] Get: 22 http://deb.debian.org/debian bullseye/main arm64 libpython3.9-minimal arm64 3.9.2-1 [797 kB] Get: 23 http://deb.debian.org/debian bullseye/main arm64 python3.9-minimal arm64 3.9.2-1 [1884 kB] Get: 24 http://deb.debian.org/debian bullseye/main arm64 python3-minimal arm64 3.9.2-3 [38.2 kB] Get: 25 http://deb.debian.org/debian bullseye/main arm64 media-types all 4.0.0 [30.3 kB] Get: 26 http://deb.debian.org/debian bullseye/main arm64 mailcap all 3.69 [31.7 kB] Get: 27 http://deb.debian.org/debian bullseye/main arm64 mime-support all 3.66 [10.9 kB] Get: 28 http://deb.debian.org/debian bullseye/main arm64 libmpdec3 arm64 2.5.1-1 [84.4 kB] Get: 29 http://deb.debian.org/debian bullseye/main arm64 readline-common all 8.1-1 [73.7 kB] Get: 30 http://deb.debian.org/debian bullseye/main arm64 libreadline8 arm64 8.1-1 [160 kB] Get: 31 http://deb.debian.org/debian bullseye/main arm64 libpython3.9-stdlib arm64 3.9.2-1 [1658 kB] Get: 32 http://deb.debian.org/debian bullseye/main arm64 python3.9 arm64 3.9.2-1 [466 kB] Get: 33 http://deb.debian.org/debian bullseye/main arm64 libpython3-stdlib arm64 3.9.2-3 [21.4 kB] Get: 34 http://deb.debian.org/debian bullseye/main arm64 python3 arm64 3.9.2-3 [37.9 kB] Get: 35 http://deb.debian.org/debian bullseye/main arm64 sensible-utils all 0.0.14 [14.8 kB] Get: 36 http://deb.debian.org/debian bullseye/main arm64 ucf all 3.0043 [74.0 kB] Get: 37 http://deb.debian.org/debian bullseye/main arm64 tex-common all 6.16 [53.7 kB] Get: 38 http://deb.debian.org/debian bullseye/main arm64 libncurses6 arm64 6.2+20201114-2 [93.2 kB] Get: 39 http://deb.debian.org/debian bullseye/main arm64 libprocps8 arm64 2:3.3.17-5 [61.9 kB] Get: 40 http://deb.debian.org/debian bullseye/main arm64 procps arm64 2:3.3.17-5 [497 kB] Get: 41 http://deb.debian.org/debian bullseye/main arm64 bash-completion all 1:2.11-2 [234 kB] Get: 42 http://deb.debian.org/debian bullseye/main arm64 libmagic-mgc arm64 1:5.39-3 [273 kB] Get: 43 http://deb.debian.org/debian bullseye/main arm64 libmagic1 arm64 1:5.39-3 [121 kB] Get: 44 http://deb.debian.org/debian bullseye/main arm64 file arm64 1:5.39-3 [69.1 kB] Get: 45 http://deb.debian.org/debian bullseye/main arm64 gettext-base arm64 0.21-4 [173 kB] Get: 46 http://deb.debian.org/debian bullseye/main arm64 libpam-systemd arm64 247.3-5 [273 kB] Get: 47 http://deb.debian.org/debian bullseye/main arm64 hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 48 http://deb.debian.org/debian bullseye/main arm64 libgdk-pixbuf2.0-common all 2.42.2+dfsg-1 [320 kB] Get: 49 http://deb.debian.org/debian bullseye/main arm64 libglib2.0-0 arm64 2.66.8-1 [1286 kB] Get: 50 http://deb.debian.org/debian bullseye/main arm64 libicu67 arm64 67.1-7 [8467 kB] Get: 51 http://deb.debian.org/debian bullseye/main arm64 libxml2 arm64 2.9.10+dfsg-6.7 [629 kB] Get: 52 http://deb.debian.org/debian bullseye/main arm64 shared-mime-info arm64 2.0-1 [700 kB] Get: 53 http://deb.debian.org/debian bullseye/main arm64 libjpeg62-turbo arm64 1:2.0.6-4 [133 kB] Get: 54 http://deb.debian.org/debian bullseye/main arm64 libpng16-16 arm64 1.6.37-3 [289 kB] Get: 55 http://deb.debian.org/debian bullseye/main arm64 libdeflate0 arm64 1.7-1 [47.7 kB] Get: 56 http://deb.debian.org/debian bullseye/main arm64 libjbig0 arm64 2.1-3.1+b2 [27.8 kB] Get: 57 http://deb.debian.org/debian bullseye/main arm64 libwebp6 arm64 0.6.1-2.1 [244 kB] Get: 58 http://deb.debian.org/debian bullseye/main arm64 libtiff5 arm64 4.2.0-1 [276 kB] Get: 59 http://deb.debian.org/debian bullseye/main arm64 libgdk-pixbuf-2.0-0 arm64 2.42.2+dfsg-1 [136 kB] Get: 60 http://deb.debian.org/debian bullseye/main arm64 gtk-update-icon-cache arm64 3.24.24-4 [86.7 kB] Get: 61 http://deb.debian.org/debian bullseye/main arm64 adwaita-icon-theme all 3.38.0-1 [10.9 MB] Get: 62 http://deb.debian.org/debian bullseye/main arm64 libsigsegv2 arm64 2.13-1 [34.7 kB] Get: 63 http://deb.debian.org/debian bullseye/main arm64 m4 arm64 1.4.18-5 [199 kB] Get: 64 http://deb.debian.org/debian bullseye/main arm64 autoconf all 2.69-14 [313 kB] Get: 65 http://deb.debian.org/debian bullseye/main arm64 autotools-dev all 20180224.1+nmu1 [77.1 kB] Get: 66 http://deb.debian.org/debian bullseye/main arm64 automake all 1:1.16.3-2 [814 kB] Get: 67 http://deb.debian.org/debian bullseye/main arm64 autopoint all 0.21-4 [510 kB] Get: 68 http://deb.debian.org/debian bullseye/main arm64 bc arm64 1.07.1-2+b2 [107 kB] Get: 69 http://deb.debian.org/debian bullseye/main arm64 libpaper1 arm64 1.1.28+b1 [21.4 kB] Get: 70 http://deb.debian.org/debian bullseye/main arm64 libpaper-utils arm64 1.1.28+b1 [18.3 kB] Get: 71 http://deb.debian.org/debian bullseye/main arm64 libkpathsea6 arm64 2020.20200327.54578-7 [169 kB] Get: 72 http://deb.debian.org/debian bullseye/main arm64 libptexenc1 arm64 2020.20200327.54578-7 [63.5 kB] Get: 73 http://deb.debian.org/debian bullseye/main arm64 libsynctex2 arm64 2020.20200327.54578-7 [80.4 kB] Get: 74 http://deb.debian.org/debian bullseye/main arm64 libtexlua53 arm64 2020.20200327.54578-7 [124 kB] Get: 75 http://deb.debian.org/debian bullseye/main arm64 t1utils arm64 1.41-4 [59.8 kB] Get: 76 http://deb.debian.org/debian bullseye/main arm64 libbrotli1 arm64 1.0.9-2+b2 [267 kB] Get: 77 http://deb.debian.org/debian bullseye/main arm64 libfreetype6 arm64 2.10.4+dfsg-1 [393 kB] Get: 78 http://deb.debian.org/debian bullseye/main arm64 fonts-dejavu-core all 2.37-2 [1069 kB] Get: 79 http://deb.debian.org/debian bullseye/main arm64 ttf-bitstream-vera all 1.10-8.1 [223 kB] Get: 80 http://deb.debian.org/debian bullseye/main arm64 fonts-urw-base35 all 20200910-1 [6367 kB] Get: 81 http://deb.debian.org/debian bullseye/main arm64 fontconfig-config all 2.13.1-4.2 [281 kB] Get: 82 http://deb.debian.org/debian bullseye/main arm64 libfontconfig1 arm64 2.13.1-4.2 [344 kB] Get: 83 http://deb.debian.org/debian bullseye/main arm64 libpixman-1-0 arm64 0.40.0-1 [444 kB] Get: 84 http://deb.debian.org/debian bullseye/main arm64 libxau6 arm64 1:1.0.9-1 [19.7 kB] Get: 85 http://deb.debian.org/debian bullseye/main arm64 libmd0 arm64 1.0.3-3 [27.9 kB] Get: 86 http://deb.debian.org/debian bullseye/main arm64 libbsd0 arm64 0.11.3-1 [106 kB] Get: 87 http://deb.debian.org/debian bullseye/main arm64 libxdmcp6 arm64 1:1.1.2-3 [25.4 kB] Get: 88 http://deb.debian.org/debian bullseye/main arm64 libxcb1 arm64 1.14-3 [138 kB] Get: 89 http://deb.debian.org/debian bullseye/main arm64 libx11-data all 2:1.7.1-1 [310 kB] Get: 90 http://deb.debian.org/debian bullseye/main arm64 libx11-6 arm64 2:1.7.1-1 [747 kB] Get: 91 http://deb.debian.org/debian bullseye/main arm64 libxcb-render0 arm64 1.14-3 [111 kB] Get: 92 http://deb.debian.org/debian bullseye/main arm64 libxcb-shm0 arm64 1.14-3 [101 kB] Get: 93 http://deb.debian.org/debian bullseye/main arm64 libxext6 arm64 2:1.3.3-1.1 [51.6 kB] Get: 94 http://deb.debian.org/debian bullseye/main arm64 libxrender1 arm64 1:0.9.10-1 [30.4 kB] Get: 95 http://deb.debian.org/debian bullseye/main arm64 libcairo2 arm64 1.16.0-5 [648 kB] Get: 96 http://deb.debian.org/debian bullseye/main arm64 libgraphite2-3 arm64 1.3.14-1 [75.6 kB] Get: 97 http://deb.debian.org/debian bullseye/main arm64 libharfbuzz0b arm64 2.7.4-1 [1445 kB] Get: 98 http://deb.debian.org/debian bullseye/main arm64 libteckit0 arm64 2.5.10+ds1-3 [293 kB] Get: 99 http://deb.debian.org/debian bullseye/main arm64 x11-common all 1:7.7+22 [252 kB] Get: 100 http://deb.debian.org/debian bullseye/main arm64 libice6 arm64 2:1.0.10-1 [55.6 kB] Get: 101 http://deb.debian.org/debian bullseye/main arm64 libsm6 arm64 2:1.2.3-1 [34.0 kB] Get: 102 http://deb.debian.org/debian bullseye/main arm64 libxt6 arm64 1:1.2.0-1 [176 kB] Get: 103 http://deb.debian.org/debian bullseye/main arm64 libxmu6 arm64 2:1.1.2-2+b3 [57.8 kB] Get: 104 http://deb.debian.org/debian bullseye/main arm64 libxpm4 arm64 1:3.5.12-1 [43.9 kB] Get: 105 http://deb.debian.org/debian bullseye/main arm64 libxaw7 arm64 2:1.0.13-1.1 [184 kB] Get: 106 http://deb.debian.org/debian bullseye/main arm64 libxi6 arm64 2:1.7.10-1 [81.7 kB] Get: 107 http://deb.debian.org/debian bullseye/main arm64 libzzip-0-13 arm64 0.13.62-3.3 [55.2 kB] Get: 108 http://deb.debian.org/debian bullseye/main arm64 texlive-binaries arm64 2020.20200327.54578-7 [7572 kB] Get: 109 http://deb.debian.org/debian bullseye/main arm64 xdg-utils all 1.1.3-4.1 [75.5 kB] Get: 110 http://deb.debian.org/debian bullseye/main arm64 texlive-base all 2020.20210202-3 [20.8 MB] Get: 111 http://deb.debian.org/debian bullseye/main arm64 fonts-lmodern all 2.004.5-6.1 [4540 kB] Get: 112 http://deb.debian.org/debian bullseye/main arm64 texlive-latex-base all 2020.20210202-3 [1120 kB] Get: 113 http://deb.debian.org/debian bullseye/main arm64 texlive-latex-recommended all 2020.20210202-3 [14.5 MB] Get: 114 http://deb.debian.org/debian bullseye/main arm64 cm-super-minimal all 0.3.4-15 [5815 kB] Get: 115 http://deb.debian.org/debian bullseye/main arm64 cmake-data all 3.18.4-2 [1725 kB] Get: 116 http://deb.debian.org/debian bullseye/main arm64 libarchive13 arm64 3.4.3-2+b1 [320 kB] Get: 117 http://deb.debian.org/debian bullseye/main arm64 libsasl2-modules-db arm64 2.1.27+dfsg-2.1 [69.3 kB] Get: 118 http://deb.debian.org/debian bullseye/main arm64 libsasl2-2 arm64 2.1.27+dfsg-2.1 [105 kB] Get: 119 http://deb.debian.org/debian bullseye/main arm64 libldap-2.4-2 arm64 2.4.57+dfsg-3 [222 kB] Get: 120 http://deb.debian.org/debian bullseye/main arm64 libnghttp2-14 arm64 1.43.0-1 [73.8 kB] Get: 121 http://deb.debian.org/debian bullseye/main arm64 libpsl5 arm64 0.21.0-1.2 [57.1 kB] Get: 122 http://deb.debian.org/debian bullseye/main arm64 librtmp1 arm64 2.4+20151223.gitfa8646d.1-2+b2 [59.4 kB] Get: 123 http://deb.debian.org/debian bullseye/main arm64 libssh2-1 arm64 1.9.0-2 [150 kB] Get: 124 http://deb.debian.org/debian bullseye/main arm64 libcurl4 arm64 7.74.0-1.3+b1 [321 kB] Get: 125 http://deb.debian.org/debian bullseye/main arm64 libjsoncpp24 arm64 1.9.4-4 [72.5 kB] Get: 126 http://deb.debian.org/debian bullseye/main arm64 librhash0 arm64 1.4.1-2 [127 kB] Get: 127 http://deb.debian.org/debian bullseye/main arm64 libuv1 arm64 1.40.0-2 [126 kB] Get: 128 http://deb.debian.org/debian bullseye/main arm64 cmake arm64 3.18.4-2 [3673 kB] Get: 129 http://deb.debian.org/debian bullseye/main arm64 cython3 arm64 0.29.21-3+b1 [1239 kB] Get: 130 http://deb.debian.org/debian bullseye/main arm64 dbus-user-session arm64 1.12.20-2 [96.2 kB] Get: 131 http://deb.debian.org/debian bullseye/main arm64 libdconf1 arm64 0.38.0-2 [42.2 kB] Get: 132 http://deb.debian.org/debian bullseye/main arm64 dconf-service arm64 0.38.0-2 [35.7 kB] Get: 133 http://deb.debian.org/debian bullseye/main arm64 dconf-gsettings-backend arm64 0.38.0-2 [29.5 kB] Get: 134 http://deb.debian.org/debian bullseye/main arm64 libdebhelper-perl all 13.3.4 [189 kB] Get: 135 http://deb.debian.org/debian bullseye/main arm64 libtool all 2.4.6-15 [513 kB] Get: 136 http://deb.debian.org/debian bullseye/main arm64 dh-autoreconf all 20 [17.1 kB] Get: 137 http://deb.debian.org/debian bullseye/main arm64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 138 http://deb.debian.org/debian bullseye/main arm64 libsub-override-perl all 0.09-2 [10.2 kB] Get: 139 http://deb.debian.org/debian bullseye/main arm64 libfile-stripnondeterminism-perl all 1.11.0-1 [25.6 kB] Get: 140 http://deb.debian.org/debian bullseye/main arm64 dh-strip-nondeterminism all 1.11.0-1 [15.3 kB] Get: 141 http://deb.debian.org/debian bullseye/main arm64 libelf1 arm64 0.183-1 [164 kB] Get: 142 http://deb.debian.org/debian bullseye/main arm64 dwz arm64 0.13+20210201-1 [155 kB] Get: 143 http://deb.debian.org/debian bullseye/main arm64 gettext arm64 0.21-4 [1261 kB] Get: 144 http://deb.debian.org/debian bullseye/main arm64 intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 145 http://deb.debian.org/debian bullseye/main arm64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 146 http://deb.debian.org/debian bullseye/main arm64 debhelper all 13.3.4 [1049 kB] Get: 147 http://deb.debian.org/debian bullseye/main arm64 python3-lib2to3 all 3.9.2-1 [77.8 kB] Get: 148 http://deb.debian.org/debian bullseye/main arm64 python3-distutils all 3.9.2-1 [143 kB] Get: 149 http://deb.debian.org/debian bullseye/main arm64 dh-python all 4.20201102+nmu1 [99.4 kB] Get: 150 http://deb.debian.org/debian bullseye/main arm64 libedit2 arm64 3.1-20191231-2+b1 [92.1 kB] Get: 151 http://deb.debian.org/debian bullseye/main arm64 libz3-4 arm64 4.8.10-1 [6117 kB] Get: 152 http://deb.debian.org/debian bullseye/main arm64 libllvm11 arm64 1:11.0.1-2 [14.7 MB] Get: 153 http://deb.debian.org/debian bullseye/main arm64 libclang-cpp11 arm64 1:11.0.1-2 [7957 kB] Get: 154 http://deb.debian.org/debian bullseye/main arm64 libclang1-11 arm64 1:11.0.1-2 [4553 kB] Get: 155 http://deb.debian.org/debian bullseye/main arm64 doxygen arm64 1.9.1-1 [3891 kB] Get: 156 http://deb.debian.org/debian bullseye/main arm64 libthai-data all 0.1.28-3 [170 kB] Get: 157 http://deb.debian.org/debian bullseye/main arm64 libdatrie1 arm64 0.2.13-1 [42.1 kB] Get: 158 http://deb.debian.org/debian bullseye/main arm64 libthai0 arm64 0.1.28-3 [53.0 kB] Get: 159 http://deb.debian.org/debian bullseye/main arm64 libsombok3 arm64 2.4.0-2+b1 [29.8 kB] Get: 160 http://deb.debian.org/debian bullseye/main arm64 libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 161 http://deb.debian.org/debian bullseye/main arm64 libunicode-linebreak-perl arm64 0.0.20190101-1+b2 [101 kB] Get: 162 http://deb.debian.org/debian bullseye/main arm64 libjs-jquery all 3.5.1+dfsg+~3.5.5-7 [315 kB] Get: 163 http://deb.debian.org/debian bullseye/main arm64 libfontenc1 arm64 1:1.1.4-1 [23.6 kB] Get: 164 http://deb.debian.org/debian bullseye/main arm64 xfonts-encodings all 1:1.0.4-2.1 [573 kB] Get: 165 http://deb.debian.org/debian bullseye/main arm64 xfonts-utils arm64 1:7.7+6 [85.6 kB] Get: 166 http://deb.debian.org/debian bullseye/main arm64 lmodern all 2.004.5-6.1 [9489 kB] Get: 167 http://deb.debian.org/debian bullseye/main arm64 texlive-luatex all 2020.20210202-3 [14.4 MB] Get: 168 http://deb.debian.org/debian bullseye/main arm64 texlive-plain-generic all 2020.20210202-3 [27.0 MB] Get: 169 http://deb.debian.org/debian bullseye/main arm64 texlive-extra-utils all 2020.20210202-3 [55.5 MB] Get: 170 http://deb.debian.org/debian bullseye/main arm64 libapache-pom-java all 18-1 [4676 B] Get: 171 http://deb.debian.org/debian bullseye/main arm64 libcommons-parent-java all 43-1 [10.8 kB] Get: 172 http://deb.debian.org/debian bullseye/main arm64 libcommons-logging-java all 1.2-2 [62.2 kB] Get: 173 http://deb.debian.org/debian bullseye/main arm64 libfontbox-java all 1:1.8.16-2 [211 kB] Get: 174 http://deb.debian.org/debian bullseye/main arm64 libpdfbox-java all 1:1.8.16-2 [5205 kB] Get: 175 http://deb.debian.org/debian bullseye/main arm64 preview-latex-style all 12.2-1 [201 kB] Get: 176 http://deb.debian.org/debian bullseye/main arm64 texlive-pictures all 2020.20210202-3 [6743 kB] Get: 177 http://deb.debian.org/debian bullseye/main arm64 texlive-latex-extra all 2020.20210202-3 [13.7 MB] Get: 178 http://deb.debian.org/debian bullseye/main arm64 texlive-font-utils all 2020.20210202-3 [4672 kB] Get: 179 http://deb.debian.org/debian bullseye/main arm64 libgs9-common all 9.53.3~dfsg-7 [734 kB] Get: 180 http://deb.debian.org/debian bullseye/main arm64 libavahi-common-data arm64 0.8-5 [123 kB] Get: 181 http://deb.debian.org/debian bullseye/main arm64 libavahi-common3 arm64 0.8-5 [57.1 kB] Get: 182 http://deb.debian.org/debian bullseye/main arm64 libavahi-client3 arm64 0.8-5 [60.6 kB] Get: 183 http://deb.debian.org/debian bullseye/main arm64 libcups2 arm64 2.3.3op2-3+deb11u1 [334 kB] Get: 184 http://deb.debian.org/debian bullseye/main arm64 libidn11 arm64 1.33-3 [115 kB] Get: 185 http://deb.debian.org/debian bullseye/main arm64 libijs-0.35 arm64 0.35-15 [15.8 kB] Get: 186 http://deb.debian.org/debian bullseye/main arm64 libjbig2dec0 arm64 0.19-2 [62.5 kB] Get: 187 http://deb.debian.org/debian bullseye/main arm64 liblcms2-2 arm64 2.12~rc1-2 [140 kB] Get: 188 http://deb.debian.org/debian bullseye/main arm64 libopenjp2-7 arm64 2.4.0-3 [160 kB] Get: 189 http://deb.debian.org/debian bullseye/main arm64 libgs9 arm64 9.53.3~dfsg-7 [2071 kB] Get: 190 http://deb.debian.org/debian bullseye/main arm64 ghostscript arm64 9.53.3~dfsg-7 [97.8 kB] Get: 191 http://deb.debian.org/debian bullseye/main arm64 texlive-fonts-recommended all 2020.20210202-3 [5002 kB] Get: 192 http://deb.debian.org/debian bullseye/main arm64 doxygen-latex all 1.9.1-1 [298 kB] Get: 193 http://deb.debian.org/debian bullseye/main arm64 fontconfig arm64 2.13.1-4.2 [416 kB] Get: 194 http://deb.debian.org/debian bullseye/main arm64 fonts-lyx all 2.3.6-1 [205 kB] Get: 195 http://deb.debian.org/debian bullseye/main arm64 gdal-data all 3.2.2+dfsg-2 [462 kB] Get: 196 http://deb.debian.org/debian bullseye/main arm64 libproxy1v5 arm64 0.4.17-1 [54.4 kB] Get: 197 http://deb.debian.org/debian bullseye/main arm64 glib-networking-common all 2.66.0-2 [68.1 kB] Get: 198 http://deb.debian.org/debian bullseye/main arm64 glib-networking-services arm64 2.66.0-2 [17.4 kB] Get: 199 http://deb.debian.org/debian bullseye/main arm64 gsettings-desktop-schemas all 3.38.0-2 [588 kB] Get: 200 http://deb.debian.org/debian bullseye/main arm64 glib-networking arm64 2.66.0-2 [64.5 kB] Get: 201 http://deb.debian.org/debian bullseye/main arm64 libann0 arm64 1.1.2+doc-7 [25.1 kB] Get: 202 http://deb.debian.org/debian bullseye/main arm64 libcdt5 arm64 2.42.2-5 [61.2 kB] Get: 203 http://deb.debian.org/debian bullseye/main arm64 libcgraph6 arm64 2.42.2-5 [82.7 kB] Get: 204 http://deb.debian.org/debian bullseye/main arm64 libgd3 arm64 2.3.0-2 [127 kB] Get: 205 http://deb.debian.org/debian bullseye/main arm64 libgts-0.7-5 arm64 0.7.6+darcs121130-4+b1 [143 kB] Get: 206 http://deb.debian.org/debian bullseye/main arm64 libltdl7 arm64 2.4.6-15 [390 kB] Get: 207 http://deb.debian.org/debian bullseye/main arm64 libfribidi0 arm64 1.0.8-2 [64.8 kB] Get: 208 http://deb.debian.org/debian bullseye/main arm64 libpango-1.0-0 arm64 1.46.2-3 [183 kB] Get: 209 http://deb.debian.org/debian bullseye/main arm64 libpangoft2-1.0-0 arm64 1.46.2-3 [59.4 kB] Get: 210 http://deb.debian.org/debian bullseye/main arm64 libpangocairo-1.0-0 arm64 1.46.2-3 [48.6 kB] Get: 211 http://deb.debian.org/debian bullseye/main arm64 libpathplan4 arm64 2.42.2-5 [62.6 kB] Get: 212 http://deb.debian.org/debian bullseye/main arm64 libgvc6 arm64 2.42.2-5 [632 kB] Get: 213 http://deb.debian.org/debian bullseye/main arm64 libgvpr2 arm64 2.42.2-5 [201 kB] Get: 214 http://deb.debian.org/debian bullseye/main arm64 liblab-gamut1 arm64 2.42.2-5 [220 kB] Get: 215 http://deb.debian.org/debian bullseye/main arm64 graphviz arm64 2.42.2-5 [586 kB] Get: 216 http://deb.debian.org/debian bullseye/main arm64 hdf5-helpers arm64 1.10.6+repack-4 [40.4 kB] Get: 217 http://deb.debian.org/debian bullseye/main arm64 python3-backcall all 0.2.0-1 [10.7 kB] Get: 218 http://deb.debian.org/debian bullseye/main arm64 python3-decorator all 4.4.2-2 [15.8 kB] Get: 219 http://deb.debian.org/debian bullseye/main arm64 python3-parso all 0.8.1-1 [65.9 kB] Get: 220 http://deb.debian.org/debian bullseye/main arm64 python3-jedi all 0.18.0-1 [620 kB] Get: 221 http://deb.debian.org/debian bullseye/main arm64 python3-ptyprocess all 0.7.0-1 [13.6 kB] Get: 222 http://deb.debian.org/debian bullseye/main arm64 python3-pexpect all 4.8.0-2 [54.9 kB] Get: 223 http://deb.debian.org/debian bullseye/main arm64 python3-pickleshare all 0.7.5-3 [7604 B] Get: 224 http://deb.debian.org/debian bullseye/main arm64 python3-pkg-resources all 52.0.0-4 [190 kB] Get: 225 http://deb.debian.org/debian bullseye/main arm64 python3-wcwidth all 0.1.9+dfsg1-2 [18.2 kB] Get: 226 http://deb.debian.org/debian bullseye/main arm64 python3-prompt-toolkit all 3.0.14-1 [258 kB] Get: 227 http://deb.debian.org/debian bullseye/main arm64 python3-pygments all 2.7.1+dfsg-2.1 [657 kB] Get: 228 http://deb.debian.org/debian bullseye/main arm64 python3-ipython-genutils all 0.2.0-4 [21.4 kB] Get: 229 http://deb.debian.org/debian bullseye/main arm64 python3-traitlets all 5.0.5-1 [84.4 kB] Get: 230 http://deb.debian.org/debian bullseye/main arm64 python3-ipython all 7.20.0-1 [517 kB] Get: 231 http://deb.debian.org/debian bullseye/main arm64 ipython3 all 7.20.0-1 [24.8 kB] Get: 232 http://deb.debian.org/debian bullseye/main arm64 iso-codes all 4.6.0-1 [2824 kB] Get: 233 http://deb.debian.org/debian bullseye/main arm64 libaec0 arm64 1.0.4-1 [19.8 kB] Get: 234 http://deb.debian.org/debian bullseye/main arm64 libsz2 arm64 1.0.4-1 [6736 B] Get: 235 http://deb.debian.org/debian bullseye/main arm64 libaec-dev arm64 1.0.4-1 [18.2 kB] Get: 236 http://deb.debian.org/debian bullseye/main arm64 libaom0 arm64 1.0.0.errata1-3 [824 kB] Get: 237 http://deb.debian.org/debian bullseye/main arm64 libblas3 arm64 3.9.0-3 [101 kB] Get: 238 http://deb.debian.org/debian bullseye/main arm64 libgfortran5 arm64 10.2.1-6 [333 kB] Get: 239 http://deb.debian.org/debian bullseye/main arm64 liblapack3 arm64 3.9.0-3 [1541 kB] Get: 240 http://deb.debian.org/debian bullseye/main arm64 libarpack2 arm64 3.8.0-1 [84.2 kB] Get: 241 http://deb.debian.org/debian bullseye/main arm64 libsuperlu5 arm64 5.2.2+dfsg1-2 [133 kB] Get: 242 http://deb.debian.org/debian bullseye/main arm64 libarmadillo10 arm64 1:10.1.2+dfsg-6 [97.9 kB] Get: 243 http://deb.debian.org/debian bullseye/main arm64 libatk1.0-data all 2.36.0-2 [149 kB] Get: 244 http://deb.debian.org/debian bullseye/main arm64 libatk1.0-0 arm64 2.36.0-2 [49.9 kB] Get: 245 http://deb.debian.org/debian bullseye/main arm64 libatspi2.0-0 arm64 2.38.0-4 [68.7 kB] Get: 246 http://deb.debian.org/debian bullseye/main arm64 libatk-bridge2.0-0 arm64 2.38.0-1 [61.6 kB] Get: 247 http://deb.debian.org/debian bullseye/main arm64 libdrm-common all 2.4.104-1 [14.9 kB] Get: 248 http://deb.debian.org/debian bullseye/main arm64 libdrm2 arm64 2.4.104-1 [41.3 kB] Get: 249 http://deb.debian.org/debian bullseye/main arm64 libva2 arm64 2.10.0-1 [64.6 kB] Get: 250 http://deb.debian.org/debian bullseye/main arm64 libva-drm2 arm64 2.10.0-1 [19.0 kB] Get: 251 http://deb.debian.org/debian bullseye/main arm64 libxfixes3 arm64 1:5.0.3-2 [22.1 kB] Get: 252 http://deb.debian.org/debian bullseye/main arm64 libva-x11-2 arm64 2.10.0-1 [23.3 kB] Get: 253 http://deb.debian.org/debian bullseye/main arm64 libvdpau1 arm64 1.4-3 [27.1 kB] Get: 254 http://deb.debian.org/debian bullseye/main arm64 ocl-icd-libopencl1 arm64 2.2.14-2 [41.5 kB] Get: 255 http://deb.debian.org/debian bullseye/main arm64 libavutil56 arm64 7:4.3.2-0+deb11u2 [291 kB] Get: 256 http://deb.debian.org/debian bullseye/main arm64 libcodec2-0.9 arm64 0.9.2-4 [7879 kB] Get: 257 http://deb.debian.org/debian bullseye/main arm64 libdav1d4 arm64 0.7.1-3 [256 kB] Get: 258 http://deb.debian.org/debian bullseye/main arm64 libgsm1 arm64 1.0.18-2 [27.6 kB] Get: 259 http://deb.debian.org/debian bullseye/main arm64 libmp3lame0 arm64 3.100-3 [356 kB] Get: 260 http://deb.debian.org/debian bullseye/main arm64 libopus0 arm64 1.3.1-0.1 [169 kB] Get: 261 http://deb.debian.org/debian bullseye/main arm64 libcairo-gobject2 arm64 1.16.0-5 [125 kB] Get: 262 http://deb.debian.org/debian bullseye/main arm64 librsvg2-2 arm64 2.50.3+dfsg-1 [2133 kB] Get: 263 http://deb.debian.org/debian bullseye/main arm64 libshine3 arm64 3.1.1-2 [23.0 kB] Get: 264 http://deb.debian.org/debian bullseye/main arm64 libsnappy1v5 arm64 1.1.8-1 [17.2 kB] Get: 265 http://deb.debian.org/debian bullseye/main arm64 libspeex1 arm64 1.2~rc1.2-1.1 [48.9 kB] Get: 266 http://deb.debian.org/debian bullseye/main arm64 libsoxr0 arm64 0.1.3-4 [54.4 kB] Get: 267 http://deb.debian.org/debian bullseye/main arm64 libswresample3 arm64 7:4.3.2-0+deb11u2 [93.3 kB] Get: 268 http://deb.debian.org/debian bullseye/main arm64 libogg0 arm64 1.3.4-0.1 [26.3 kB] Get: 269 http://deb.debian.org/debian bullseye/main arm64 libtheora0 arm64 1.1.1+dfsg.1-15 [161 kB] Get: 270 http://deb.debian.org/debian bullseye/main arm64 libtwolame0 arm64 0.4.0-2 [48.5 kB] Get: 271 http://deb.debian.org/debian bullseye/main arm64 libvorbis0a arm64 1.3.7-1 [86.2 kB] Get: 272 http://deb.debian.org/debian bullseye/main arm64 libvorbisenc2 arm64 1.3.7-1 [80.4 kB] Get: 273 http://deb.debian.org/debian bullseye/main arm64 libvpx6 arm64 1.9.0-1 [751 kB] Get: 274 http://deb.debian.org/debian bullseye/main arm64 libwavpack1 arm64 5.4.0-1 [79.0 kB] Get: 275 http://deb.debian.org/debian bullseye/main arm64 libwebpmux3 arm64 0.6.1-2.1 [96.7 kB] Get: 276 http://deb.debian.org/debian bullseye/main arm64 libx264-160 arm64 2:0.160.3011+gitcde9a93-2+b2 [443 kB] Get: 277 http://deb.debian.org/debian bullseye/main arm64 libnuma1 arm64 2.0.12-1+b1 [25.8 kB] Get: 278 http://deb.debian.org/debian bullseye/main arm64 libx265-192 arm64 3.4-2 [584 kB] Get: 279 http://deb.debian.org/debian bullseye/main arm64 libxvidcore4 arm64 2:1.3.7-1 [202 kB] Get: 280 http://deb.debian.org/debian bullseye/main arm64 libzvbi-common all 0.2.35-18 [64.6 kB] Get: 281 http://deb.debian.org/debian bullseye/main arm64 libzvbi0 arm64 0.2.35-18 [256 kB] Get: 282 http://deb.debian.org/debian bullseye/main arm64 libavcodec58 arm64 7:4.3.2-0+deb11u2 [4556 kB] Get: 283 http://deb.debian.org/debian bullseye/main arm64 libavutil-dev arm64 7:4.3.2-0+deb11u2 [422 kB] Get: 284 http://deb.debian.org/debian bullseye/main arm64 libswresample-dev arm64 7:4.3.2-0+deb11u2 [104 kB] Get: 285 http://deb.debian.org/debian bullseye/main arm64 libavcodec-dev arm64 7:4.3.2-0+deb11u2 [5122 kB] Get: 286 http://deb.debian.org/debian bullseye/main arm64 libudfread0 arm64 1.1.1-1 [15.6 kB] Get: 287 http://deb.debian.org/debian bullseye/main arm64 libbluray2 arm64 1:1.2.1-4 [125 kB] Get: 288 http://deb.debian.org/debian bullseye/main arm64 libchromaprint1 arm64 1.5.0-2 [36.9 kB] Get: 289 http://deb.debian.org/debian bullseye/main arm64 libgme0 arm64 0.6.3-2 [119 kB] Get: 290 http://deb.debian.org/debian bullseye/main arm64 libmpg123-0 arm64 1.26.4-1 [131 kB] Get: 291 http://deb.debian.org/debian bullseye/main arm64 libvorbisfile3 arm64 1.3.7-1 [25.4 kB] Get: 292 http://deb.debian.org/debian bullseye/main arm64 libopenmpt0 arm64 0.4.11-1 [557 kB] Get: 293 http://deb.debian.org/debian bullseye/main arm64 librabbitmq4 arm64 0.10.0-1 [39.7 kB] Get: 294 http://deb.debian.org/debian bullseye/main arm64 libsrt1.4-gnutls arm64 1.4.2-1.3 [240 kB] Get: 295 http://deb.debian.org/debian bullseye/main arm64 libssh-gcrypt-4 arm64 0.9.5-1 [206 kB] Get: 296 http://deb.debian.org/debian bullseye/main arm64 libnorm1 arm64 1.5.9+dfsg-2 [202 kB] Get: 297 http://deb.debian.org/debian bullseye/main arm64 libpgm-5.3-0 arm64 5.3.128~dfsg-2 [152 kB] Get: 298 http://deb.debian.org/debian bullseye/main arm64 libsodium23 arm64 1.0.18-1 [119 kB] Get: 299 http://deb.debian.org/debian bullseye/main arm64 libzmq5 arm64 4.3.4-1 [247 kB] Get: 300 http://deb.debian.org/debian bullseye/main arm64 libavformat58 arm64 7:4.3.2-0+deb11u2 [989 kB] Get: 301 http://deb.debian.org/debian bullseye/main arm64 libavformat-dev arm64 7:4.3.2-0+deb11u2 [1230 kB] Get: 302 http://deb.debian.org/debian bullseye/main arm64 libblas-dev arm64 3.9.0-3 [107 kB] Get: 303 http://deb.debian.org/debian bullseye/main arm64 libboost1.74-dev arm64 1.74.0-9 [9534 kB] Get: 304 http://deb.debian.org/debian bullseye/main arm64 libboost-atomic1.74.0 arm64 1.74.0-9 [244 kB] Get: 305 http://deb.debian.org/debian bullseye/main arm64 libboost-atomic1.74-dev arm64 1.74.0-9 [245 kB] Get: 306 http://deb.debian.org/debian bullseye/main arm64 libboost-chrono1.74.0 arm64 1.74.0-9 [251 kB] Get: 307 http://deb.debian.org/debian bullseye/main arm64 libboost-chrono1.74-dev arm64 1.74.0-9 [260 kB] Get: 308 http://deb.debian.org/debian bullseye/main arm64 libboost-date-time1.74.0 arm64 1.74.0-9 [241 kB] Get: 309 http://deb.debian.org/debian bullseye/main arm64 libboost-serialization1.74.0 arm64 1.74.0-9 [331 kB] Get: 310 http://deb.debian.org/debian bullseye/main arm64 libboost-serialization1.74-dev arm64 1.74.0-9 [381 kB] Get: 311 http://deb.debian.org/debian bullseye/main arm64 libboost-date-time1.74-dev arm64 1.74.0-9 [250 kB] Get: 312 http://deb.debian.org/debian bullseye/main arm64 libboost-dev arm64 1.74.0.3 [4548 B] Get: 313 http://deb.debian.org/debian bullseye/main arm64 libboost-filesystem1.74.0 arm64 1.74.0-9 [278 kB] Get: 314 http://deb.debian.org/debian bullseye/main arm64 libboost-system1.74.0 arm64 1.74.0-9 [242 kB] Get: 315 http://deb.debian.org/debian bullseye/main arm64 libboost-system1.74-dev arm64 1.74.0-9 [243 kB] Get: 316 http://deb.debian.org/debian bullseye/main arm64 libboost-filesystem1.74-dev arm64 1.74.0-9 [303 kB] Get: 317 http://deb.debian.org/debian bullseye/main arm64 libboost-filesystem-dev arm64 1.74.0.3 [4368 B] Get: 318 http://deb.debian.org/debian bullseye/main arm64 libboost-python1.74.0 arm64 1.74.0-9 [305 kB] Get: 319 http://deb.debian.org/debian bullseye/main arm64 libpython3.9 arm64 3.9.2-1 [1556 kB] Get: 320 http://deb.debian.org/debian bullseye/main arm64 libexpat1-dev arm64 2.2.10-2 [126 kB] Get: 321 http://deb.debian.org/debian bullseye/main arm64 libpython3.9-dev arm64 3.9.2-1 [3835 kB] Get: 322 http://deb.debian.org/debian bullseye/main arm64 libpython3-dev arm64 3.9.2-3 [21.7 kB] Get: 323 http://deb.debian.org/debian bullseye/main arm64 zlib1g-dev arm64 1:1.2.11.dfsg-2 [189 kB] Get: 324 http://deb.debian.org/debian bullseye/main arm64 python3.9-dev arm64 3.9.2-1 [515 kB] Get: 325 http://deb.debian.org/debian bullseye/main arm64 libjs-underscore all 1.9.1~dfsg-3 [100 kB] Get: 326 http://deb.debian.org/debian bullseye/main arm64 libjs-sphinxdoc all 3.4.3-2 [127 kB] Get: 327 http://deb.debian.org/debian bullseye/main arm64 python3-dev arm64 3.9.2-3 [24.8 kB] Get: 328 http://deb.debian.org/debian bullseye/main arm64 libboost-python1.74-dev arm64 1.74.0-9 [331 kB] Get: 329 http://deb.debian.org/debian bullseye/main arm64 libboost-python-dev arm64 1.74.0.3 [4632 B] Get: 330 http://deb.debian.org/debian bullseye/main arm64 libboost-system-dev arm64 1.74.0.3 [4468 B] Get: 331 http://deb.debian.org/debian bullseye/main arm64 libboost-thread1.74.0 arm64 1.74.0-9 [276 kB] Get: 332 http://deb.debian.org/debian bullseye/main arm64 libboost-thread1.74-dev arm64 1.74.0-9 [291 kB] Get: 333 http://deb.debian.org/debian bullseye/main arm64 libboost-thread-dev arm64 1.74.0.3 [4356 B] Get: 334 http://deb.debian.org/debian bullseye/main arm64 libcap2-bin arm64 1:2.44-1 [32.0 kB] Get: 335 http://deb.debian.org/debian bullseye/main arm64 libcurl3-gnutls arm64 7.74.0-1.3+b1 [318 kB] Get: 336 http://deb.debian.org/debian bullseye/main arm64 libcfitsio9 arm64 3.490-3 [503 kB] Get: 337 http://deb.debian.org/debian bullseye/main arm64 libcharls2 arm64 2.2.0+dfsg-2 [70.3 kB] Get: 338 http://deb.debian.org/debian bullseye/main arm64 libcolord2 arm64 1.4.5-3 [134 kB] Get: 339 http://deb.debian.org/debian bullseye/main arm64 libdap27 arm64 3.20.7-6 [506 kB] Get: 340 http://deb.debian.org/debian bullseye/main arm64 libdapclient6v5 arm64 3.20.7-6 [196 kB] Get: 341 http://deb.debian.org/debian bullseye/main arm64 libraw1394-11 arm64 2.1.2-2 [40.3 kB] Get: 342 http://deb.debian.org/debian bullseye/main arm64 libusb-1.0-0 arm64 2:1.0.24-3 [58.0 kB] Get: 343 http://deb.debian.org/debian bullseye/main arm64 libdc1394-25 arm64 2.2.6-3 [104 kB] Get: 344 http://deb.debian.org/debian bullseye/main arm64 libraw1394-dev arm64 2.1.2-2 [53.1 kB] Get: 345 http://deb.debian.org/debian bullseye/main arm64 libdc1394-dev arm64 2.2.6-3 [138 kB] Get: 346 http://deb.debian.org/debian bullseye/main arm64 libde265-0 arm64 1.0.8-1 [202 kB] Get: 347 http://deb.debian.org/debian bullseye/main arm64 libdeflate-dev arm64 1.7-1 [44.5 kB] Get: 348 http://deb.debian.org/debian bullseye/main arm64 libdouble-conversion3 arm64 3.1.5-6.1 [37.6 kB] Get: 349 http://deb.debian.org/debian bullseye/main arm64 libdrm-amdgpu1 arm64 2.4.104-1 [28.0 kB] Get: 350 http://deb.debian.org/debian bullseye/main arm64 libdrm-nouveau2 arm64 2.4.104-1 [26.1 kB] Get: 351 http://deb.debian.org/debian bullseye/main arm64 libdrm-radeon1 arm64 2.4.104-1 [29.3 kB] Get: 352 http://deb.debian.org/debian bullseye/main arm64 libdw1 arm64 0.183-1 [219 kB] Get: 353 http://deb.debian.org/debian bullseye/main arm64 libepoxy0 arm64 1.5.5-1 [197 kB] Get: 354 http://deb.debian.org/debian bullseye/main arm64 libepsilon1 arm64 0.9.2+dfsg-5 [38.7 kB] Get: 355 http://deb.debian.org/debian bullseye/main arm64 libexif12 arm64 0.6.22-3 [371 kB] Get: 356 http://deb.debian.org/debian bullseye/main arm64 libexif-dev arm64 0.6.22-3 [98.5 kB] Get: 357 http://deb.debian.org/debian bullseye/main arm64 libfreexl1 arm64 1.0.6-1 [33.4 kB] Get: 358 http://deb.debian.org/debian bullseye/main arm64 libfyba0 arm64 4.1.1-7 [106 kB] Get: 359 http://deb.debian.org/debian bullseye/main arm64 libgeos-3.9.0 arm64 3.9.0-1 [865 kB] Get: 360 http://deb.debian.org/debian bullseye/main arm64 libgeos-c1v5 arm64 3.9.0-1 [371 kB] Get: 361 http://deb.debian.org/debian bullseye/main arm64 proj-data all 7.2.1-1 [7940 kB] Get: 362 http://deb.debian.org/debian bullseye/main arm64 libproj19 arm64 7.2.1-1 [989 kB] Get: 363 http://deb.debian.org/debian bullseye/main arm64 libgeotiff5 arm64 1.6.0-1 [66.7 kB] Get: 364 http://deb.debian.org/debian bullseye/main arm64 libgif7 arm64 5.1.9-2 [45.0 kB] Get: 365 http://deb.debian.org/debian bullseye/main arm64 libhdf4-0-alt arm64 4.2.15-3 [250 kB] Get: 366 http://deb.debian.org/debian bullseye/main arm64 libhdf5-103-1 arm64 1.10.6+repack-4 [1032 kB] Get: 367 http://deb.debian.org/debian bullseye/main arm64 libheif1 arm64 1.11.0-1 [173 kB] Get: 368 http://deb.debian.org/debian bullseye/main arm64 libminizip1 arm64 1.1-8+b1 [17.4 kB] Get: 369 http://deb.debian.org/debian bullseye/main arm64 liburiparser1 arm64 0.9.4+dfsg-1 [41.0 kB] Get: 370 http://deb.debian.org/debian bullseye/main arm64 libkmlbase1 arm64 1.3.0-9 [45.8 kB] Get: 371 http://deb.debian.org/debian bullseye/main arm64 libkmldom1 arm64 1.3.0-9 [143 kB] Get: 372 http://deb.debian.org/debian bullseye/main arm64 libkmlengine1 arm64 1.3.0-9 [71.1 kB] Get: 373 http://deb.debian.org/debian bullseye/main arm64 mysql-common all 5.8+1.0.7 [7464 B] Get: 374 http://deb.debian.org/debian bullseye/main arm64 mariadb-common all 1:10.5.10-2 [36.0 kB] Get: 375 http://deb.debian.org/debian bullseye/main arm64 libmariadb3 arm64 1:10.5.10-2 [165 kB] Get: 376 http://deb.debian.org/debian bullseye/main arm64 libhdf5-hl-100 arm64 1.10.6+repack-4 [78.6 kB] Get: 377 http://deb.debian.org/debian bullseye/main arm64 libnetcdf18 arm64 1:4.7.4-1 [377 kB] Get: 378 http://deb.debian.org/debian bullseye/main arm64 libodbc1 arm64 2.3.6-0.1+b1 [202 kB] Get: 379 http://deb.debian.org/debian bullseye/main arm64 libogdi4.1 arm64 4.1.0+ds-5 [189 kB] Get: 380 http://deb.debian.org/debian bullseye/main arm64 libnspr4 arm64 2:4.29-1 [105 kB] Get: 381 http://deb.debian.org/debian bullseye/main arm64 libnss3 arm64 2:3.61-1 [1210 kB] Get: 382 http://deb.debian.org/debian bullseye/main arm64 libpoppler102 arm64 20.09.0-3.1 [1594 kB] Get: 383 http://deb.debian.org/debian bullseye/main arm64 libpq5 arm64 13.3-1 [171 kB] Get: 384 http://deb.debian.org/debian bullseye/main arm64 libqhull8.0 arm64 2020.2-3 [234 kB] Get: 385 http://deb.debian.org/debian bullseye/main arm64 librttopo1 arm64 1.1.0-2 [163 kB] Get: 386 http://deb.debian.org/debian bullseye/main arm64 libspatialite7 arm64 5.0.1-2 [1600 kB] Get: 387 http://deb.debian.org/debian bullseye/main arm64 libxerces-c3.2 arm64 3.2.3+debian-3 [769 kB] Get: 388 http://deb.debian.org/debian bullseye/main arm64 odbcinst arm64 2.3.6-0.1+b1 [48.5 kB] Get: 389 http://deb.debian.org/debian bullseye/main arm64 odbcinst1debian2 arm64 2.3.6-0.1+b1 [79.8 kB] Get: 390 http://deb.debian.org/debian bullseye/main arm64 libgdal28 arm64 3.2.2+dfsg-2 [6376 kB] Get: 391 http://deb.debian.org/debian bullseye/main arm64 libsocket++1 arm64 1.12.13-11 [73.1 kB] Get: 392 http://deb.debian.org/debian bullseye/main arm64 libgdcm3.0 arm64 3.0.8-1 [1660 kB] Get: 393 http://deb.debian.org/debian bullseye/main arm64 libgdcm-dev arm64 3.0.8-1 [269 kB] Get: 394 http://deb.debian.org/debian bullseye/main arm64 libgflags2.2 arm64 2.2.2-2 [71.2 kB] Get: 395 http://deb.debian.org/debian bullseye/main arm64 libgflags-dev arm64 2.2.2-2 [91.4 kB] Get: 396 http://deb.debian.org/debian bullseye/main arm64 libglapi-mesa arm64 20.3.4-1 [96.7 kB] Get: 397 http://deb.debian.org/debian bullseye/main arm64 libsensors-config all 1:3.6.0-7 [32.3 kB] Get: 398 http://deb.debian.org/debian bullseye/main arm64 libsensors5 arm64 1:3.6.0-7 [51.2 kB] Get: 399 http://deb.debian.org/debian bullseye/main arm64 libvulkan1 arm64 1.2.162.0-1 [95.7 kB] Get: 400 http://deb.debian.org/debian bullseye/main arm64 libgl1-mesa-dri arm64 20.3.4-1 [6552 kB] Get: 401 http://deb.debian.org/debian bullseye/main arm64 libglvnd0 arm64 1.3.2-1 [44.3 kB] Get: 402 http://deb.debian.org/debian bullseye/main arm64 libx11-xcb1 arm64 2:1.7.1-1 [203 kB] Get: 403 http://deb.debian.org/debian bullseye/main arm64 libxcb-dri2-0 arm64 1.14-3 [103 kB] Get: 404 http://deb.debian.org/debian bullseye/main arm64 libxcb-dri3-0 arm64 1.14-3 [102 kB] Get: 405 http://deb.debian.org/debian bullseye/main arm64 libxcb-glx0 arm64 1.14-3 [118 kB] Get: 406 http://deb.debian.org/debian bullseye/main arm64 libxcb-present0 arm64 1.14-3 [101 kB] Get: 407 http://deb.debian.org/debian bullseye/main arm64 libxcb-sync1 arm64 1.14-3 [105 kB] Get: 408 http://deb.debian.org/debian bullseye/main arm64 libxcb-xfixes0 arm64 1.14-3 [105 kB] Get: 409 http://deb.debian.org/debian bullseye/main arm64 libxdamage1 arm64 1:1.1.5-2 [15.7 kB] Get: 410 http://deb.debian.org/debian bullseye/main arm64 libxshmfence1 arm64 1.3-1 [8712 B] Get: 411 http://deb.debian.org/debian bullseye/main arm64 libxxf86vm1 arm64 1:1.1.4-1+b2 [20.1 kB] Get: 412 http://deb.debian.org/debian bullseye/main arm64 libglx-mesa0 arm64 20.3.4-1 [186 kB] Get: 413 http://deb.debian.org/debian bullseye/main arm64 libglx0 arm64 1.3.2-1 [32.0 kB] Get: 414 http://deb.debian.org/debian bullseye/main arm64 libgl1 arm64 1.3.2-1 [91.4 kB] Get: 415 http://deb.debian.org/debian bullseye/main arm64 libgl2ps1.4 arm64 1.4.2+dfsg1-1 [36.9 kB] Get: 416 http://deb.debian.org/debian bullseye/main arm64 libglew2.1 arm64 2.1.0-4+b1 [160 kB] Get: 417 http://deb.debian.org/debian bullseye/main arm64 libgoogle-glog0v5 arm64 0.4.0-4 [54.1 kB] Get: 418 http://deb.debian.org/debian bullseye/main arm64 libgoogle-glog-dev arm64 0.4.0-4 [84.9 kB] Get: 419 http://deb.debian.org/debian bullseye/main arm64 libgphoto2-port12 arm64 2.5.27-1 [148 kB] Get: 420 http://deb.debian.org/debian bullseye/main arm64 libgphoto2-6 arm64 2.5.27-1 [715 kB] Get: 421 http://deb.debian.org/debian bullseye/main arm64 pkg-config arm64 0.29.2-1 [63.6 kB] Get: 422 http://deb.debian.org/debian bullseye/main arm64 libgphoto2-dev arm64 2.5.27-1 [107 kB] Get: 423 http://deb.debian.org/debian bullseye/main arm64 libunwind8 arm64 1.3.2-2 [50.5 kB] Get: 424 http://deb.debian.org/debian bullseye/main arm64 libgstreamer1.0-0 arm64 1.18.4-2 [2130 kB] Get: 425 http://deb.debian.org/debian bullseye/main arm64 liborc-0.4-0 arm64 1:0.4.32-1 [176 kB] Get: 426 http://deb.debian.org/debian bullseye/main arm64 libgstreamer-plugins-base1.0-0 arm64 1.18.4-2 [2076 kB] Get: 427 http://deb.debian.org/debian bullseye/main arm64 libjson-glib-1.0-common all 1.6.2-1 [56.9 kB] Get: 428 http://deb.debian.org/debian bullseye/main arm64 libjson-glib-1.0-0 arm64 1.6.2-1 [59.8 kB] Get: 429 http://deb.debian.org/debian bullseye/main arm64 libsoup2.4-1 arm64 2.72.0-2 [263 kB] Get: 430 http://deb.debian.org/debian bullseye/main arm64 libsoup-gnome2.4-1 arm64 2.72.0-2 [22.1 kB] Get: 431 http://deb.debian.org/debian bullseye/main arm64 librest-0.7-0 arm64 0.8.1-1.1 [31.7 kB] Get: 432 http://deb.debian.org/debian bullseye/main arm64 libwayland-client0 arm64 1.18.0-2~exp1.1 [26.5 kB] Get: 433 http://deb.debian.org/debian bullseye/main arm64 libwayland-cursor0 arm64 1.18.0-2~exp1.1 [14.4 kB] Get: 434 http://deb.debian.org/debian bullseye/main arm64 libwayland-egl1 arm64 1.18.0-2~exp1.1 [8412 B] Get: 435 http://deb.debian.org/debian bullseye/main arm64 libxcomposite1 arm64 1:0.4.5-1 [16.6 kB] Get: 436 http://deb.debian.org/debian bullseye/main arm64 libxcursor1 arm64 1:1.2.0-2 [36.6 kB] Get: 437 http://deb.debian.org/debian bullseye/main arm64 libxinerama1 arm64 2:1.1.4-2 [17.7 kB] Get: 438 http://deb.debian.org/debian bullseye/main arm64 xkb-data all 2.29-2 [655 kB] Get: 439 http://deb.debian.org/debian bullseye/main arm64 libxkbcommon0 arm64 1.0.3-2 [95.5 kB] Get: 440 http://deb.debian.org/debian bullseye/main arm64 libxrandr2 arm64 2:1.5.1-1 [35.3 kB] Get: 441 http://deb.debian.org/debian bullseye/main arm64 libgtk-3-common all 3.24.24-4 [3757 kB] Get: 442 http://deb.debian.org/debian bullseye/main arm64 libgtk-3-0 arm64 3.24.24-4 [2516 kB] Get: 443 http://deb.debian.org/debian bullseye/main arm64 libhdf5-cpp-103-1 arm64 1.10.6+repack-4 [131 kB] Get: 444 http://deb.debian.org/debian bullseye/main arm64 libhdf5-fortran-102 arm64 1.10.6+repack-4 [103 kB] Get: 445 http://deb.debian.org/debian bullseye/main arm64 libhdf5-hl-fortran-100 arm64 1.10.6+repack-4 [55.0 kB] Get: 446 http://deb.debian.org/debian bullseye/main arm64 libhdf5-hl-cpp-100 arm64 1.10.6+repack-4 [37.6 kB] Get: 447 http://deb.debian.org/debian bullseye/main arm64 libjpeg62-turbo-dev arm64 1:2.0.6-4 [255 kB] Get: 448 http://deb.debian.org/debian bullseye/main arm64 libjpeg-dev arm64 1:2.0.6-4 [67.8 kB] Get: 449 http://deb.debian.org/debian bullseye/main arm64 libhdf5-dev arm64 1.10.6+repack-4 [2535 kB] Get: 450 http://deb.debian.org/debian bullseye/main arm64 libilmbase25 arm64 2.5.4-1 [204 kB] Get: 451 http://deb.debian.org/debian bullseye/main arm64 libilmbase-dev arm64 2.5.4-1 [160 kB] Get: 452 http://deb.debian.org/debian bullseye/main arm64 libimagequant0 arm64 2.12.2-1.1 [30.3 kB] Get: 453 http://deb.debian.org/debian bullseye/main arm64 libjbig-dev arm64 2.1-3.1+b2 [28.3 kB] Get: 454 http://deb.debian.org/debian bullseye/main arm64 libjs-jquery-ui all 1.12.1+dfsg-8 [232 kB] Get: 455 http://deb.debian.org/debian bullseye/main arm64 liblbfgsb0 arm64 3.0+dfsg.3-9 [24.5 kB] Get: 456 http://deb.debian.org/debian bullseye/main arm64 liblept5 arm64 1.79.0-1.1 [958 kB] Get: 457 http://deb.debian.org/debian bullseye/main arm64 libleveldb1d arm64 1.22-3 [132 kB] Get: 458 http://deb.debian.org/debian bullseye/main arm64 libleveldb-dev arm64 1.22-3 [192 kB] Get: 459 http://deb.debian.org/debian bullseye/main arm64 liblmdb0 arm64 0.9.24-1 [43.7 kB] Get: 460 http://deb.debian.org/debian bullseye/main arm64 liblmdb-dev arm64 0.9.24-1 [60.5 kB] Get: 461 http://deb.debian.org/debian bullseye/main arm64 liblzf1 arm64 3.6-3 [9860 B] Get: 462 http://deb.debian.org/debian bullseye/main arm64 liblzma-dev arm64 5.2.5-2 [227 kB] Get: 463 http://deb.debian.org/debian bullseye/main arm64 libtbb2 arm64 2020.3-1 [131 kB] Get: 464 http://deb.debian.org/debian bullseye/main arm64 libopencv-core4.5 arm64 4.5.1+dfsg-5 [779 kB] Get: 465 http://deb.debian.org/debian bullseye/main arm64 libopencv-flann4.5 arm64 4.5.1+dfsg-5 [119 kB] Get: 466 http://deb.debian.org/debian bullseye/main arm64 libopencv-imgproc4.5 arm64 4.5.1+dfsg-5 [836 kB] Get: 467 http://deb.debian.org/debian bullseye/main arm64 libopencv-features2d4.5 arm64 4.5.1+dfsg-5 [213 kB] Get: 468 http://deb.debian.org/debian bullseye/main arm64 libopencv-calib3d4.5 arm64 4.5.1+dfsg-5 [582 kB] Get: 469 http://deb.debian.org/debian bullseye/main arm64 libtbb-dev arm64 2020.3-1 [313 kB] Get: 470 http://deb.debian.org/debian bullseye/main arm64 libopencv-core-dev arm64 4.5.1+dfsg-5 [1451 kB] Get: 471 http://deb.debian.org/debian bullseye/main arm64 libopencv-flann-dev arm64 4.5.1+dfsg-5 [201 kB] Get: 472 http://deb.debian.org/debian bullseye/main arm64 libopenexr25 arm64 2.5.4-2 [612 kB] Get: 473 http://deb.debian.org/debian bullseye/main arm64 libopencv-imgcodecs4.5 arm64 4.5.1+dfsg-5 [119 kB] Get: 474 http://deb.debian.org/debian bullseye/main arm64 libopencv-highgui4.5 arm64 4.5.1+dfsg-5 [47.5 kB] Get: 475 http://deb.debian.org/debian bullseye/main arm64 libopencv-imgproc-dev arm64 4.5.1+dfsg-5 [1116 kB] Get: 476 http://deb.debian.org/debian bullseye/main arm64 libopencv-imgcodecs-dev arm64 4.5.1+dfsg-5 [183 kB] Get: 477 http://deb.debian.org/debian bullseye/main arm64 libswscale5 arm64 7:4.3.2-0+deb11u2 [176 kB] Get: 478 http://deb.debian.org/debian bullseye/main arm64 libopencv-videoio4.5 arm64 4.5.1+dfsg-5 [164 kB] Get: 479 http://deb.debian.org/debian bullseye/main arm64 libopencv-videoio-dev arm64 4.5.1+dfsg-5 [240 kB] Get: 480 http://deb.debian.org/debian bullseye/main arm64 libopenexr-dev arm64 2.5.4-2 [159 kB] Get: 481 http://deb.debian.org/debian bullseye/main arm64 libpng-dev arm64 1.6.37-3 [294 kB] Get: 482 http://deb.debian.org/debian bullseye/main arm64 libswscale-dev arm64 7:4.3.2-0+deb11u2 [194 kB] Get: 483 http://deb.debian.org/debian bullseye/main arm64 libtiffxx5 arm64 4.2.0-1 [128 kB] Get: 484 http://deb.debian.org/debian bullseye/main arm64 libtiff-dev arm64 4.2.0-1 [404 kB] Get: 485 http://deb.debian.org/debian bullseye/main arm64 libopencv-highgui-dev arm64 4.5.1+dfsg-5 [65.8 kB] Get: 486 http://deb.debian.org/debian bullseye/main arm64 libopencv-ml4.5 arm64 4.5.1+dfsg-5 [185 kB] Get: 487 http://deb.debian.org/debian bullseye/main arm64 libopencv-ml-dev arm64 4.5.1+dfsg-5 [268 kB] Get: 488 http://deb.debian.org/debian bullseye/main arm64 libopencv-features2d-dev arm64 4.5.1+dfsg-5 [292 kB] Get: 489 http://deb.debian.org/debian bullseye/main arm64 libopencv-calib3d-dev arm64 4.5.1+dfsg-5 [843 kB] Get: 490 http://deb.debian.org/debian bullseye/main arm64 libprotobuf23 arm64 3.12.4-1 [780 kB] Get: 491 http://deb.debian.org/debian bullseye/main arm64 libopencv-dnn4.5 arm64 4.5.1+dfsg-5 [787 kB] Get: 492 http://deb.debian.org/debian bullseye/main arm64 libopencv-objdetect4.5 arm64 4.5.1+dfsg-5 [158 kB] Get: 493 http://deb.debian.org/debian bullseye/main arm64 libopencv-video4.5 arm64 4.5.1+dfsg-5 [155 kB] Get: 494 http://deb.debian.org/debian bullseye/main arm64 libtesseract4 arm64 4.1.1-2.1 [1142 kB] Get: 495 http://deb.debian.org/debian bullseye/main arm64 libopencv-contrib4.5 arm64 4.5.1+dfsg-5 [2959 kB] Get: 496 http://deb.debian.org/debian bullseye/main arm64 libopencv-dnn-dev arm64 4.5.1+dfsg-5 [1228 kB] Get: 497 http://deb.debian.org/debian bullseye/main arm64 libopencv-objdetect-dev arm64 4.5.1+dfsg-5 [218 kB] Get: 498 http://deb.debian.org/debian bullseye/main arm64 libopencv-photo4.5 arm64 4.5.1+dfsg-5 [158 kB] Get: 499 http://deb.debian.org/debian bullseye/main arm64 libopencv-photo-dev arm64 4.5.1+dfsg-5 [201 kB] Get: 500 http://deb.debian.org/debian bullseye/main arm64 libopencv-shape4.5 arm64 4.5.1+dfsg-5 [60.3 kB] Get: 501 http://deb.debian.org/debian bullseye/main arm64 libopencv-video-dev arm64 4.5.1+dfsg-5 [213 kB] Get: 502 http://deb.debian.org/debian bullseye/main arm64 libopencv-shape-dev arm64 4.5.1+dfsg-5 [77.7 kB] Get: 503 http://deb.debian.org/debian bullseye/main arm64 libopencv-stitching4.5 arm64 4.5.1+dfsg-5 [181 kB] Get: 504 http://deb.debian.org/debian bullseye/main arm64 libopencv-stitching-dev arm64 4.5.1+dfsg-5 [241 kB] Get: 505 http://deb.debian.org/debian bullseye/main arm64 libopencv-superres4.5 arm64 4.5.1+dfsg-5 [56.7 kB] Get: 506 http://deb.debian.org/debian bullseye/main arm64 libopencv-superres-dev arm64 4.5.1+dfsg-5 [70.1 kB] Get: 507 http://deb.debian.org/debian bullseye/main arm64 libopencv-videostab4.5 arm64 4.5.1+dfsg-5 [84.1 kB] Get: 508 http://deb.debian.org/debian bullseye/main arm64 libopencv-videostab-dev arm64 4.5.1+dfsg-5 [114 kB] Get: 509 http://deb.debian.org/debian bullseye/main arm64 libopengl0 arm64 1.3.2-1 [32.4 kB] Get: 510 http://deb.debian.org/debian bullseye/main arm64 libtcl8.6 arm64 8.6.11+dfsg-1 [964 kB] Get: 511 http://deb.debian.org/debian bullseye/main arm64 libxft2 arm64 2.3.2-2 [51.3 kB] Get: 512 http://deb.debian.org/debian bullseye/main arm64 libxss1 arm64 1:1.2.3-1 [17.8 kB] Get: 513 http://deb.debian.org/debian bullseye/main arm64 libtk8.6 arm64 8.6.11-2 [738 kB] Get: 514 http://deb.debian.org/debian bullseye/main arm64 libvtk9 arm64 9.0.1+dfsg1-8 [12.3 MB] Get: 515 http://deb.debian.org/debian bullseye/main arm64 libopencv-viz4.5 arm64 4.5.1+dfsg-5 [121 kB] Get: 516 http://deb.debian.org/debian bullseye/main arm64 libopencv-viz-dev arm64 4.5.1+dfsg-5 [172 kB] Get: 517 http://deb.debian.org/debian bullseye/main arm64 libopencv-contrib-dev arm64 4.5.1+dfsg-5 [3975 kB] Get: 518 http://deb.debian.org/debian bullseye/main arm64 libopencv-dev arm64 4.5.1+dfsg-5 [96.4 kB] Get: 519 http://deb.debian.org/debian bullseye/main arm64 libprotobuf-lite23 arm64 3.12.4-1 [218 kB] Get: 520 http://deb.debian.org/debian bullseye/main arm64 libprotobuf-dev arm64 3.12.4-1 [1163 kB] Get: 521 http://deb.debian.org/debian bullseye/main arm64 libprotoc23 arm64 3.12.4-1 [703 kB] Get: 522 http://deb.debian.org/debian bullseye/main arm64 libprotoc-dev arm64 3.12.4-1 [850 kB] Get: 523 http://deb.debian.org/debian bullseye/main arm64 libsnappy-dev arm64 1.1.8-1 [30.9 kB] Get: 524 http://deb.debian.org/debian bullseye/main arm64 libwebpdemux2 arm64 0.6.1-2.1 [87.5 kB] Get: 525 http://deb.debian.org/debian bullseye/main arm64 libyaml-0-2 arm64 0.2.2-1 [45.1 kB] Get: 526 http://deb.debian.org/debian bullseye/main arm64 protobuf-compiler arm64 3.12.4-1 [74.9 kB] Get: 527 http://deb.debian.org/debian bullseye/main arm64 python-matplotlib-data all 3.3.4-1 [4153 kB] Get: 528 http://deb.debian.org/debian bullseye/main arm64 python3-six all 1.16.0-1 [17.1 kB] Get: 529 http://deb.debian.org/debian bullseye/main arm64 python3-cycler all 0.10.0-3 [8084 B] Get: 530 http://deb.debian.org/debian bullseye/main arm64 python3-dateutil all 2.8.1-5 [81.7 kB] Get: 531 http://deb.debian.org/debian bullseye/main arm64 python3-gflags all 1.5.1-7 [36.2 kB] Get: 532 http://deb.debian.org/debian bullseye/main arm64 python3-numpy arm64 1:1.19.5-1 [3196 kB] Get: 533 http://deb.debian.org/debian bullseye/main arm64 python3-h5py-serial arm64 2.10.0-9+b2 [602 kB] Get: 534 http://deb.debian.org/debian bullseye/main arm64 python3-h5py all 2.10.0-9 [11.4 kB] Get: 535 http://deb.debian.org/debian bullseye/main arm64 python3-pil arm64 8.1.2+dfsg-0.2 [428 kB] Get: 536 http://deb.debian.org/debian bullseye/main arm64 python3-imageio all 2.4.1-3 [3137 kB] Get: 537 http://deb.debian.org/debian bullseye/main arm64 python3-kiwisolver arm64 1.3.1-1+b1 [51.6 kB] Get: 538 http://deb.debian.org/debian bullseye/main arm64 python3-pyparsing all 2.4.7-1 [109 kB] Get: 539 http://deb.debian.org/debian bullseye/main arm64 python3-matplotlib arm64 3.3.4-1 [4109 kB] Get: 540 http://deb.debian.org/debian bullseye/main arm64 python3-networkx all 2.5+ds-2 [900 kB] Get: 541 http://deb.debian.org/debian bullseye/main arm64 python3-nose all 1.3.7-7 [133 kB] Get: 542 http://deb.debian.org/debian bullseye/main arm64 python3-tz all 2021.1-1 [34.8 kB] Get: 543 http://deb.debian.org/debian bullseye/main arm64 python3-pandas-lib arm64 1.1.5+dfsg-2 [2914 kB] Get: 544 http://deb.debian.org/debian bullseye/main arm64 python3-pandas all 1.1.5+dfsg-2 [2096 kB] Get: 545 http://deb.debian.org/debian bullseye/main arm64 python3-protobuf arm64 3.12.4-1 [375 kB] Get: 546 http://deb.debian.org/debian bullseye/main arm64 python3-pydotplus all 2.0.2-3 [20.5 kB] Get: 547 http://deb.debian.org/debian bullseye/main arm64 python3-pywt arm64 1.1.1-1+b2 [929 kB] Get: 548 http://deb.debian.org/debian bullseye/main arm64 python3-scipy arm64 1.6.0-2 [11.6 MB] Get: 549 http://deb.debian.org/debian bullseye/main arm64 python3-skimage-lib arm64 0.18.1-2 [1727 kB] Get: 550 http://deb.debian.org/debian bullseye/main arm64 python3-tifffile all 20210201-1 [134 kB] Get: 551 http://deb.debian.org/debian bullseye/main arm64 python3-skimage all 0.18.1-2 [20.6 MB] Get: 552 http://deb.debian.org/debian bullseye/main arm64 python3-yaml arm64 5.3.1-5 [118 kB] Fetched 530 MB in 9s (61.3 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:arm64. (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 ... 19646 files and directories currently installed.) Preparing to unpack .../00-libapparmor1_2.13.6-10_arm64.deb ... Unpacking libapparmor1:arm64 (2.13.6-10) ... Selecting previously unselected package libcap2:arm64. Preparing to unpack .../01-libcap2_1%3a2.44-1_arm64.deb ... Unpacking libcap2:arm64 (1:2.44-1) ... Selecting previously unselected package libargon2-1:arm64. Preparing to unpack .../02-libargon2-1_0~20171227-0.2_arm64.deb ... Unpacking libargon2-1:arm64 (0~20171227-0.2) ... Selecting previously unselected package dmsetup. Preparing to unpack .../03-dmsetup_2%3a1.02.175-2.1_arm64.deb ... Unpacking dmsetup (2:1.02.175-2.1) ... Selecting previously unselected package libdevmapper1.02.1:arm64. Preparing to unpack .../04-libdevmapper1.02.1_2%3a1.02.175-2.1_arm64.deb ... Unpacking libdevmapper1.02.1:arm64 (2:1.02.175-2.1) ... Selecting previously unselected package libjson-c5:arm64. Preparing to unpack .../05-libjson-c5_0.15-2_arm64.deb ... Unpacking libjson-c5:arm64 (0.15-2) ... Selecting previously unselected package libcryptsetup12:arm64. Preparing to unpack .../06-libcryptsetup12_2%3a2.3.5-1_arm64.deb ... Unpacking libcryptsetup12:arm64 (2:2.3.5-1) ... Selecting previously unselected package libip4tc2:arm64. Preparing to unpack .../07-libip4tc2_1.8.7-1_arm64.deb ... Unpacking libip4tc2:arm64 (1.8.7-1) ... Selecting previously unselected package libkmod2:arm64. Preparing to unpack .../08-libkmod2_28-1_arm64.deb ... Unpacking libkmod2:arm64 (28-1) ... Selecting previously unselected package systemd-timesyncd. Preparing to unpack .../09-systemd-timesyncd_247.3-5_arm64.deb ... Unpacking systemd-timesyncd (247.3-5) ... Selecting previously unselected package systemd. Preparing to unpack .../10-systemd_247.3-5_arm64.deb ... Unpacking systemd (247.3-5) ... Setting up libapparmor1:arm64 (2.13.6-10) ... Setting up libcap2:arm64 (1:2.44-1) ... Setting up libargon2-1:arm64 (0~20171227-0.2) ... Setting up libjson-c5:arm64 (0.15-2) ... Setting up libip4tc2:arm64 (1.8.7-1) ... Setting up libkmod2:arm64 (28-1) ... Setting up libdevmapper1.02.1:arm64 (2:1.02.175-2.1) ... Setting up libcryptsetup12:arm64 (2:2.3.5-1) ... Setting up systemd-timesyncd (247.3-5) ... 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. Setting up systemd (247.3-5) ... 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/sysinit.target.wants/systemd-pstore.service -> /lib/systemd/system/systemd-pstore.service. Initializing machine ID from random generator. Setting up dmsetup (2:1.02.175-2.1) ... 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 ... 20518 files and directories currently installed.) Preparing to unpack .../00-systemd-sysv_247.3-5_arm64.deb ... Unpacking systemd-sysv (247.3-5) ... Selecting previously unselected package libdbus-1-3:arm64. Preparing to unpack .../01-libdbus-1-3_1.12.20-2_arm64.deb ... Unpacking libdbus-1-3:arm64 (1.12.20-2) ... Selecting previously unselected package libexpat1:arm64. Preparing to unpack .../02-libexpat1_2.2.10-2_arm64.deb ... Unpacking libexpat1:arm64 (2.2.10-2) ... Selecting previously unselected package dbus. Preparing to unpack .../03-dbus_1.12.20-2_arm64.deb ... Unpacking dbus (1.12.20-2) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../04-bsdextrautils_2.36.1-7_arm64.deb ... Unpacking bsdextrautils (2.36.1-7) ... Selecting previously unselected package libuchardet0:arm64. Preparing to unpack .../05-libuchardet0_0.0.7-1_arm64.deb ... Unpacking libuchardet0:arm64 (0.0.7-1) ... Selecting previously unselected package groff-base. Preparing to unpack .../06-groff-base_1.22.4-6_arm64.deb ... Unpacking groff-base (1.22.4-6) ... Selecting previously unselected package libpipeline1:arm64. Preparing to unpack .../07-libpipeline1_1.5.3-1_arm64.deb ... Unpacking libpipeline1:arm64 (1.5.3-1) ... Selecting previously unselected package man-db. Preparing to unpack .../08-man-db_2.9.4-2_arm64.deb ... Unpacking man-db (2.9.4-2) ... Selecting previously unselected package poppler-data. Preparing to unpack .../09-poppler-data_0.4.10-1_all.deb ... Unpacking poppler-data (0.4.10-1) ... Selecting previously unselected package libpython3.9-minimal:arm64. Preparing to unpack .../10-libpython3.9-minimal_3.9.2-1_arm64.deb ... Unpacking libpython3.9-minimal:arm64 (3.9.2-1) ... Selecting previously unselected package python3.9-minimal. Preparing to unpack .../11-python3.9-minimal_3.9.2-1_arm64.deb ... Unpacking python3.9-minimal (3.9.2-1) ... Setting up libpython3.9-minimal:arm64 (3.9.2-1) ... Setting up libexpat1:arm64 (2.2.10-2) ... Setting up python3.9-minimal (3.9.2-1) ... Selecting previously unselected package python3-minimal. (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 ... 21986 files and directories currently installed.) Preparing to unpack .../0-python3-minimal_3.9.2-3_arm64.deb ... Unpacking python3-minimal (3.9.2-3) ... Selecting previously unselected package media-types. Preparing to unpack .../1-media-types_4.0.0_all.deb ... Unpacking media-types (4.0.0) ... Selecting previously unselected package mailcap. Preparing to unpack .../2-mailcap_3.69_all.deb ... Unpacking mailcap (3.69) ... 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Setting up mariadb-common (1:10.5.10-2) ... update-alternatives: using /etc/mysql/mariadb.cnf to provide /etc/mysql/my.cnf (my.cnf) in auto mode Setting up libfontenc1:arm64 (1:1.1.4-1) ... Setting up libprotobuf-lite23:arm64 (3.12.4-1) ... Setting up autotools-dev (20180224.1+nmu1) ... Setting up libz3-4:arm64 (4.8.10-1) ... Setting up libblas3:arm64 (3.9.0-3) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/aarch64-linux-gnu/libblas.so.3 (libblas.so.3-aarch64-linux-gnu) in auto mode Setting up libuv1:arm64 (1.40.0-2) ... Setting up libexpat1-dev:arm64 (2.2.10-2) ... Setting up libjpeg62-turbo:arm64 (1:2.0.6-4) ... Setting up libva2:arm64 (2.10.0-1) ... Setting up libx11-data (2:1.7.1-1) ... Setting up libjpeg62-turbo-dev:arm64 (1:2.0.6-4) ... Setting up libepoxy0:arm64 (1.5.5-1) ... Setting up libnspr4:arm64 (2:4.29-1) ... Setting up libjbig2dec0:arm64 (0.19-2) ... Setting up librtmp1:arm64 (2.4+20151223.gitfa8646d.1-2+b2) ... Setting up libidn11:arm64 (1.33-3) ... Setting up libteckit0:arm64 (2.5.10+ds1-3) ... Setting up bash-completion (1:2.11-2) ... Setting up libpathplan4:arm64 (2.42.2-5) ... Setting up libcodec2-0.9:arm64 (0.9.2-4) ... Setting up libapache-pom-java (18-1) ... Setting up libprotoc23:arm64 (3.12.4-1) ... Setting up libavahi-common-data:arm64 (0.8-5) ... Setting up libboost-system1.74-dev:arm64 (1.74.0-9) ... Setting up libann0 (1.1.2+doc-7) ... Setting up libncurses6:arm64 (6.2+20201114-2) ... Setting up libdbus-1-3:arm64 (1.12.20-2) ... Setting up dbus (1.12.20-2) ... Running in chroot, ignoring request. invoke-rc.d: policy-rc.d denied execution of start. Setting up liblzf1:arm64 (3.6-3) ... Setting up libsigsegv2:arm64 (2.13-1) ... Setting up xfonts-encodings (1:1.0.4-2.1) ... Setting up libfribidi0:arm64 (1.0.8-2) ... Setting up libopus0:arm64 (1.3.1-0.1) ... Setting up t1utils (1.41-4) ... Setting up libexif12:arm64 (0.6.22-3) ... Setting up libimagequant0:arm64 (2.12.2-1.1) ... Setting up libpng16-16:arm64 (1.6.37-3) ... Setting up libvorbis0a:arm64 (1.3.7-1) ... Setting up liborc-0.4-0:arm64 (1:0.4.32-1) ... Setting up libtcl8.6:arm64 (8.6.11+dfsg-1) ... Setting up autopoint (0.21-4) ... Setting up libwebp6:arm64 (0.6.1-2.1) ... Setting up pkg-config (0.29.2-1) ... Setting up libmariadb3:arm64 (1:10.5.10-2) ... Setting up fonts-dejavu-core (2.37-2) ... Setting up libsocket++1:arm64 (1.12.13-11) ... Setting up libsensors5:arm64 (1:3.6.0-7) ... Setting up libltdl7:arm64 (2.4.6-15) ... Setting up liblmdb-dev:arm64 (0.9.24-1) ... Setting up libglapi-mesa:arm64 (20.3.4-1) ... Setting up libkpathsea6:arm64 (2020.20200327.54578-7) ... Setting up libsasl2-2:arm64 (2.1.27+dfsg-2.1) ... Setting up libgfortran5:arm64 (10.2.1-6) ... Setting up libvulkan1:arm64 (1.2.162.0-1) ... Setting up libhdf4-0-alt (4.2.15-3) ... Setting up libjsoncpp24:arm64 (1.9.4-4) ... Setting up libboost-atomic1.74-dev:arm64 (1.74.0-9) ... Setting up liblzma-dev:arm64 (5.2.5-2) ... Setting up libboost-serialization1.74.0:arm64 (1.74.0-9) ... Setting up libgif7:arm64 (5.1.9-2) ... Setting up zlib1g-dev:arm64 (1:1.2.11.dfsg-2) ... Setting up libatk1.0-data (2.36.0-2) ... Setting up liburiparser1:arm64 (0.9.4+dfsg-1) ... Setting up libnuma1:arm64 (2.0.12-1+b1) ... Setting up libmd0:arm64 (1.0.3-3) ... Setting up libfreexl1:arm64 (1.0.6-1) ... Setting up sensible-utils (0.0.14) ... Setting up ocl-icd-libopencl1:arm64 (2.2.14-2) ... Setting up libxshmfence1:arm64 (1.3-1) ... Setting up libvpx6:arm64 (1.9.0-1) ... Setting up libmime-charset-perl (1.012.2-1) ... Setting up librhash0:arm64 (1.4.1-2) ... Setting up libwavpack1:arm64 (5.4.0-1) ... Setting up libgeos-3.9.0:arm64 (3.9.0-1) ... Setting up libfyba0:arm64 (4.1.1-7) ... Setting up libuchardet0:arm64 (0.0.7-1) ... Setting up libkmlbase1:arm64 (1.3.0-9) ... Setting up libmpdec3:arm64 (2.5.1-1) ... Setting up libpam-systemd:arm64 (247.3-5) ... Setting up fonts-lmodern (2.004.5-6.1) ... Setting up libdav1d4:arm64 (0.7.1-3) ... Setting up libopenjp2-7:arm64 (2.4.0-3) ... Setting up libsub-override-perl (0.09-2) ... Setting up libthai-data (0.1.28-3) ... Setting up libssh2-1:arm64 (1.9.0-2) ... Setting up libjson-glib-1.0-common (1.6.2-1) ... Setting up cmake-data (3.18.4-2) ... Setting up libcdt5:arm64 (2.42.2-5) ... Setting up libatk1.0-0:arm64 (2.36.0-2) ... Setting up libcgraph6:arm64 (2.42.2-5) ... Setting up libboost-dev:arm64 (1.74.0.3) ... Setting up libtiff5:arm64 (4.2.0-1) ... Setting up libwayland-egl1:arm64 (1.18.0-2~exp1.1) ... Setting up libusb-1.0-0:arm64 (2:1.0.24-3) ... Setting up libtbb-dev:arm64 (2020.3-1) ... Setting up libgphoto2-port12:arm64 (2.5.27-1) ... Setting up libboost-filesystem1.74-dev:arm64 (1.74.0-9) ... Setting up libjs-jquery (3.5.1+dfsg+~3.5.5-7) ... Setting up libboost-date-time1.74.0:arm64 (1.74.0-9) ... Setting up glib-networking-common (2.66.0-2) ... Setting up libboost-python1.74.0 (1.74.0-9) ... Setting up libde265-0:arm64 (1.0.8-1) ... Setting up python-matplotlib-data (3.3.4-1) ... Setting up libwebpmux3:arm64 (0.6.1-2.1) ... Setting up libbsd0:arm64 (0.11.3-1) ... Setting up libdeflate-dev:arm64 (1.7-1) ... Setting up libdrm-common (2.4.104-1) ... Setting up mailcap (3.69) ... Setting up libelf1:arm64 (0.183-1) ... Setting up readline-common (8.1-1) ... Setting up libxml2:arm64 (2.9.10+dfsg-6.7) ... Setting up xdg-utils (1.1.3-4.1) ... update-alternatives: using /usr/bin/xdg-open to provide /usr/bin/open (open) in auto mode Setting up iso-codes (4.6.0-1) ... Setting up libboost-filesystem-dev:arm64 (1.74.0.3) ... Setting up libzvbi-common (0.2.35-18) ... Setting up libprocps8:arm64 (2:3.3.17-5) ... Setting up libmp3lame0:arm64 (3.100-3) ... Setting up libilmbase-dev:arm64 (2.5.4-1) ... Setting up libblas-dev:arm64 (3.9.0-3) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/blas/libblas.so to provide /usr/lib/aarch64-linux-gnu/libblas.so (libblas.so-aarch64-linux-gnu) in auto mode Setting up libsz2:arm64 (1.0.4-1) ... Setting up libvorbisenc2:arm64 (1.3.7-1) ... Setting up libsynctex2:arm64 (2020.20200327.54578-7) ... Setting up libtiffxx5:arm64 (4.2.0-1) ... Setting up libjs-underscore (1.9.1~dfsg-3) ... Setting up libboost-thread1.74.0:arm64 (1.74.0-9) ... Setting up libgflags2.2 (2.2.2-2) ... Setting up libxkbcommon0:arm64 (1.0.3-2) ... Setting up libkmldom1:arm64 (1.3.0-9) ... Setting up libwayland-client0:arm64 (1.18.0-2~exp1.1) ... Setting up libgs9-common (9.53.3~dfsg-7) ... Setting up libfile-stripnondeterminism-perl (1.11.0-1) ... Setting up glib-networking-services (2.66.0-2) ... Setting up libzvbi0:arm64 (0.2.35-18) ... Setting up libleveldb1d:arm64 (1.22-3) ... Setting up libice6:arm64 (2:1.0.10-1) ... Setting up libdw1:arm64 (0.183-1) ... Setting up libxdmcp6:arm64 (1:1.1.2-3) ... Setting up libexif-dev:arm64 (0.6.22-3) ... Setting up liblapack3:arm64 (3.9.0-3) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/aarch64-linux-gnu/liblapack.so.3 (liblapack.so.3-aarch64-linux-gnu) in auto mode Setting up libxcb1:arm64 (1.14-3) ... Setting up gettext (0.21-4) ... Setting up libxcb-xfixes0:arm64 (1.14-3) ... Setting up libzmq5:arm64 (4.3.4-1) ... Setting up libpdfbox-java (1:1.8.16-2) ... Setting up libkmlengine1:arm64 (1.3.0-9) ... Setting up mime-support (3.66) ... Setting up protobuf-compiler (3.12.4-1) ... Setting up libleveldb-dev:arm64 (1.22-3) ... Setting up libopencv-core4.5:arm64 (4.5.1+dfsg-5) ... Setting up libtool (2.4.6-15) ... Setting up libarchive13:arm64 (3.4.3-2+b1) ... Setting up libxcb-render0:arm64 (1.14-3) ... Setting up libxcb-glx0:arm64 (1.14-3) ... Setting up libwebpdemux2:arm64 (0.6.1-2.1) ... Setting up libedit2:arm64 (3.1-20191231-2+b1) ... Setting up libreadline8:arm64 (8.1-1) ... Setting up libboost-system-dev:arm64 (1.74.0.3) ... Setting up libsnappy-dev:arm64 (1.1.8-1) ... Setting up libpng-dev:arm64 (1.6.37-3) ... Setting up libcommons-parent-java (43-1) ... Setting up libaec-dev:arm64 (1.0.4-1) ... Setting up libarpack2:arm64 (3.8.0-1) ... Setting up libavahi-common3:arm64 (0.8-5) ... Setting up libopencv-imgproc4.5:arm64 (4.5.1+dfsg-5) ... Setting up libx265-192:arm64 (3.4-2) ... Setting up libjpeg-dev:arm64 (1:2.0.6-4) ... Setting up libjbig-dev:arm64 (2.1-3.1+b2) ... Setting up libsuperlu5:arm64 (5.2.2+dfsg1-2) ... Setting up libcommons-logging-java (1.2-2) ... Setting up bc (1.07.1-2+b2) ... Setting up libldap-2.4-2:arm64 (2.4.57+dfsg-3) ... Setting up m4 (1.4.18-5) ... Setting up libcurl3-gnutls:arm64 (7.74.0-1.3+b1) ... Setting up libnss3:arm64 (2:3.61-1) ... Setting up libxcb-shm0:arm64 (1.14-3) ... Setting up liblept5:arm64 (1.79.0-1.1) ... Setting up libjson-glib-1.0-0:arm64 (1.6.2-1) ... Setting up libdap27:arm64 (3.20.7-6) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up libcfitsio9:arm64 (3.490-3) ... Setting up libprotobuf-dev:arm64 (3.12.4-1) ... Setting up libxcb-present0:arm64 (1.14-3) ... Setting up libthai0:arm64 (0.1.28-3) ... Setting up libvorbisfile3:arm64 (1.3.7-1) ... Setting up dbus-user-session (1.12.20-2) ... Setting up libopenexr-dev (2.5.4-2) ... Setting up libllvm11:arm64 (1:11.0.1-2) ... Setting up libjs-jquery-ui (1.12.1+dfsg-8) ... Setting up libptexenc1:arm64 (2020.20200327.54578-7) ... Setting up libfreetype6:arm64 (2.10.4+dfsg-1) ... Setting up libtiff-dev:arm64 (4.2.0-1) ... Setting up libxcb-sync1:arm64 (1.14-3) ... Setting up libopencv-flann4.5:arm64 (4.5.1+dfsg-5) ... Setting up libgdcm3.0:arm64 (3.0.8-1) ... Setting up shared-mime-info (2.0-1) ... Setting up libdc1394-25:arm64 (2.2.6-3) ... Setting up libgflags-dev (2.2.2-2) ... Setting up libclang1-11 (1:11.0.1-2) ... Setting up libgeos-c1v5:arm64 (3.9.0-1) ... Setting up libopencv-dnn4.5:arm64 (4.5.1+dfsg-5) ... Setting up libodbc1:arm64 (2.3.6-0.1+b1) ... Setting up ucf (3.0043) ... Setting up libjs-sphinxdoc (3.4.3-2) ... Setting up libtesseract4:arm64 (4.1.1-2.1) ... Setting up autoconf (2.69-14) ... Setting up libboost-serialization1.74-dev:arm64 (1.74.0-9) ... Setting up libxcb-dri2-0:arm64 (1.14-3) ... Setting up dh-strip-nondeterminism (1.11.0-1) ... Setting up libgvpr2:arm64 (2.42.2-5) ... Setting up libdrm2:arm64 (2.4.104-1) ... Setting up libhdf5-103-1:arm64 (1.10.6+repack-4) ... Setting up dwz (0.13+20210201-1) ... Setting up librttopo1:arm64 (1.1.0-2) ... Setting up libopencv-core-dev:arm64 (4.5.1+dfsg-5) ... Setting up libva-drm2:arm64 (2.10.0-1) ... Setting up libprotoc-dev:arm64 (3.12.4-1) ... Setting up groff-base (1.22.4-6) ... Setting up libopencv-ml4.5:arm64 (4.5.1+dfsg-5) ... Setting up libwayland-cursor0:arm64 (1.18.0-2~exp1.1) ... Setting up procps (2:3.3.17-5) ... Setting up libopencv-photo4.5:arm64 (4.5.1+dfsg-5) ... Setting up libdapclient6v5:arm64 (3.20.7-6) ... Setting up libhdf5-cpp-103-1:arm64 (1.10.6+repack-4) ... Setting up libcurl4:arm64 (7.74.0-1.3+b1) ... Setting up libx11-6:arm64 (2:1.7.1-1) ... Setting up libharfbuzz0b:arm64 (2.7.4-1) ... Setting up libgdk-pixbuf-2.0-0:arm64 (2.42.2+dfsg-1) ... Setting up libproj19:arm64 (7.2.1-1) ... Setting up libxcomposite1:arm64 (1:0.4.5-1) ... Setting up libsm6:arm64 (2:1.2.3-1) ... Setting up libgoogle-glog0v5 (0.4.0-4) ... Setting up libopenmpt0:arm64 (0.4.11-1) ... Setting up libavahi-client3:arm64 (0.8-5) ... Setting up libgstreamer1.0-0:arm64 (1.18.4-2) ... Setcap worked! gst-ptp-helper is not suid! Setting up libpython3.9-stdlib:arm64 (3.9.2-1) ... Setting up libpython3-stdlib:arm64 (3.9.2-3) ... Setting up liblbfgsb0:arm64 (3.0+dfsg.3-9) ... Setting up libdrm-amdgpu1:arm64 (2.4.104-1) ... Setting up libhdf5-hl-100:arm64 (1.10.6+repack-4) ... Setting up automake (1:1.16.3-2) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libspatialite7:arm64 (5.0.1-2) ... Setting up libxcb-dri3-0:arm64 (1.14-3) ... Setting up libpaper1:arm64 (1.1.28+b1) ... Creating config file /etc/papersize with new version Setting up gtk-update-icon-cache (3.24.24-4) ... Setting up libx11-xcb1:arm64 (2:1.7.1-1) ... Setting up libopencv-flann-dev:arm64 (4.5.1+dfsg-5) ... Setting up libgdcm-dev (3.0.8-1) ... Setting up libarmadillo10 (1:10.1.2+dfsg-6) ... Setting up libdrm-nouveau2:arm64 (2.4.104-1) ... Setting up libopencv-ml-dev:arm64 (4.5.1+dfsg-5) ... Setting up libxdamage1:arm64 (1:1.1.5-2) ... Setting up libxerces-c3.2:arm64 (3.2.3+debian-3) ... Setting up libxpm4:arm64 (1:3.5.12-1) ... Setting up libxrender1:arm64 (1:0.9.10-1) ... Setting up libdc1394-dev:arm64 (2.2.6-3) ... Setting up libsombok3:arm64 (2.4.0-2+b1) ... Setting up libdrm-radeon1:arm64 (2.4.104-1) ... Setting up fontconfig-config (2.13.1-4.2) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libgl1-mesa-dri:arm64 (20.3.4-1) ... Setting up libheif1:arm64 (1.11.0-1) ... Setting up libpq5:arm64 (13.3-1) ... Setting up libxext6:arm64 (2:1.3.3-1.1) ... Setting up libopencv-features2d4.5:arm64 (4.5.1+dfsg-5) ... Setting up libgstreamer-plugins-base1.0-0:arm64 (1.18.4-2) ... Setting up dconf-service (0.38.0-2) ... Setting up libpaper-utils (1.1.28+b1) ... Setting up libatspi2.0-0:arm64 (2.38.0-4) ... Setting up xfonts-utils (1:7.7+6) ... Setting up man-db (2.9.4-2) ... 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 libgeotiff5:arm64 (1.6.0-1) ... Setting up libxxf86vm1:arm64 (1:1.1.4-1+b2) ... Setting up libclang-cpp11 (1:11.0.1-2) ... Setting up dh-autoreconf (20) ... Setting up tex-common (6.16) ... update-language: texlive-base not installed and configured, doing nothing! Setting up libatk-bridge2.0-0:arm64 (2.38.0-1) ... Setting up libboost-date-time1.74-dev:arm64 (1.74.0-9) ... Setting up libhdf5-hl-cpp-100:arm64 (1.10.6+repack-4) ... Setting up doxygen (1.9.1-1) ... Setting up libpython3.9:arm64 (3.9.2-1) ... Setting up adwaita-icon-theme (3.38.0-1) ... 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 libxfixes3:arm64 (1:5.0.3-2) ... Setting up libopencv-imgproc-dev:arm64 (4.5.1+dfsg-5) ... Setting up libunicode-linebreak-perl (0.0.20190101-1+b2) ... Setting up libopencv-dnn-dev:arm64 (4.5.1+dfsg-5) ... Setting up libxinerama1:arm64 (2:1.1.4-2) ... Setting up libxrandr2:arm64 (2:1.5.1-1) ... Setting up libhdf5-fortran-102:arm64 (1.10.6+repack-4) ... Setting up libxt6:arm64 (1:1.2.0-1) ... Setting up libcups2:arm64 (2.3.3op2-3+deb11u1) ... Setting up libvdpau1:arm64 (1.4-3) ... Setting up lmodern (2.004.5-6.1) ... Setting up libnetcdf18:arm64 (1:4.7.4-1) ... Setting up cmake (3.18.4-2) ... Setting up libhdf5-hl-fortran-100:arm64 (1.10.6+repack-4) ... Setting up libboost-thread1.74-dev:arm64 (1.74.0-9) ... Setting up libgoogle-glog-dev (0.4.0-4) ... Setting up libxss1:arm64 (1:1.2.3-1) ... Setting up libfontconfig1:arm64 (2.13.1-4.2) ... Setting up libbluray2:arm64 (1:1.2.1-4) ... Setting up libva-x11-2:arm64 (2.10.0-1) ... Setting up python3.9 (3.9.2-1) ... Setting up libboost-thread-dev:arm64 (1.74.0.3) ... Setting up fontconfig (2.13.1-4.2) ... Regenerating fonts cache... done. Setting up libopencv-calib3d4.5:arm64 (4.5.1+dfsg-5) ... Setting up libxft2:arm64 (2.3.2-2) ... Setting up libxmu6:arm64 (2:1.1.2-2+b3) ... Setting up libglx-mesa0:arm64 (20.3.4-1) ... Setting up libgs9:arm64 (9.53.3~dfsg-7) ... Setting up libxi6:arm64 (2:1.7.10-1) ... Setting up libglx0:arm64 (1.3.2-1) ... 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Setting up python3-cycler (0.10.0-3) ... Setting up libhdf5-dev (1.10.6+repack-4) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/pkgconfig/hdf5-serial.pc to provide /usr/lib/aarch64-linux-gnu/pkgconfig/hdf5.pc (hdf5.pc) in auto mode Setting up libgd3:arm64 (2.3.0-2) ... Setting up python3-kiwisolver (1.3.1-1+b1) ... Setting up cython3 (0.29.21-3+b1) ... Setting up libopencv-stitching4.5:arm64 (4.5.1+dfsg-5) ... Setting up python3-pickleshare (0.7.5-3) ... Setting up libopencv-video-dev:arm64 (4.5.1+dfsg-5) ... Setting up python3.9-dev (3.9.2-1) ... Setting up libglew2.1:arm64 (2.1.0-4+b1) ... Setting up libpoppler102:arm64 (20.09.0-3.1) ... Setting up texlive-binaries (2020.20200327.54578-7) ... update-alternatives: using /usr/bin/xdvi-xaw to provide /usr/bin/xdvi.bin (xdvi.bin) in auto mode update-alternatives: using /usr/bin/bibtex.original to provide /usr/bin/bibtex (bibtex) in auto mode Setting up libopencv-objdetect4.5:arm64 (4.5.1+dfsg-5) ... Setting up libtheora0:arm64 (1.1.1+dfsg.1-15) ... Setting up python3-dateutil (2.8.1-5) ... Setting up libswscale5:arm64 (7:4.3.2-0+deb11u2) ... Setting up libcairo-gobject2:arm64 (1.16.0-5) ... Setting up libpangoft2-1.0-0:arm64 (1.46.2-3) ... Setting up python3-lib2to3 (3.9.2-1) ... Setting up texlive-base (2020.20210202-3) ... tl-paper: setting paper size for dvips to a4: /var/lib/texmf/dvips/config/config-paper.ps tl-paper: setting paper size for dvipdfmx to a4: /var/lib/texmf/dvipdfmx/dvipdfmx-paper.cfg tl-paper: setting paper size for xdvi to a4: /var/lib/texmf/xdvi/XDvi-paper tl-paper: setting paper size for pdftex to a4: /var/lib/texmf/tex/generic/tex-ini-files/pdftexconfig.tex Setting up python3-gflags (1.5.1-7) ... Setting up libgtk-3-common (3.24.24-4) ... Setting up libpangocairo-1.0-0:arm64 (1.46.2-3) ... Setting up python3-ptyprocess (0.7.0-1) ... Setting up python3-pkg-resources (52.0.0-4) ... Setting up python3-prompt-toolkit (3.0.14-1) ... 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Building dependency tree... Reading state information... fakeroot is already the newest version (1.25.3-1.1). The following additional packages will be installed: libfile-find-rule-perl libnumber-compare-perl libtext-glob-perl The following NEW packages will be installed: libfile-find-rule-perl libnumber-compare-perl libtext-glob-perl usrmerge 0 upgraded, 4 newly installed, 0 to remove and 0 not upgraded. Need to get 59.5 kB of archives. After this operation, 157 kB of additional disk space will be used. Get:1 http://deb.debian.org/debian bullseye/main arm64 libnumber-compare-perl all 0.03-1.1 [6956 B] Get:2 http://deb.debian.org/debian bullseye/main arm64 libtext-glob-perl all 0.11-1 [8888 B] Get:3 http://deb.debian.org/debian bullseye/main arm64 libfile-find-rule-perl all 0.34-1 [30.6 kB] Get:4 http://deb.debian.org/debian bullseye/main arm64 usrmerge all 25 [13.0 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 59.5 kB in 1s (56.3 kB/s) Selecting previously unselected package libnumber-compare-perl. (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 ... 100932 files and directories currently installed.) Preparing to unpack .../libnumber-compare-perl_0.03-1.1_all.deb ... Unpacking libnumber-compare-perl (0.03-1.1) ... Selecting previously unselected package libtext-glob-perl. Preparing to unpack .../libtext-glob-perl_0.11-1_all.deb ... Unpacking libtext-glob-perl (0.11-1) ... Selecting previously unselected package libfile-find-rule-perl. Preparing to unpack .../libfile-find-rule-perl_0.34-1_all.deb ... Unpacking libfile-find-rule-perl (0.34-1) ... Selecting previously unselected package usrmerge. Preparing to unpack .../archives/usrmerge_25_all.deb ... Unpacking usrmerge (25) ... Setting up libtext-glob-perl (0.11-1) ... Setting up libnumber-compare-perl (0.03-1.1) ... Setting up libfile-find-rule-perl (0.34-1) ... Setting up usrmerge (25) ... The system has been successfully converted. Processing triggers for man-db (2.9.4-2) ... Not building database; man-db/auto-update is not 'true'. I: Building the package hostname: Temporary failure in name resolution I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../caffe_1.0.0+git20180821.99bd997-8_source.changes dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Mo Zhou dpkg-source --before-build . dpkg-buildpackage: info: host architecture arm64 fakeroot debian/rules clean dh clean -Scmake --with python3,bash-completion debian/rules override_dh_auto_clean make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_clean --builddirectory="caffe_cpu_build" rm -f -rf python/caffe/proto/ doxygen rm -f python/caffe/_caffe.so find . -type d -name '__pycache__' -exec rm -rf '{}' + make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_clean -O-Scmake debian/rules build dh build -Scmake --with python3,bash-completion dh_update_autotools_config -O-Scmake dh_autoreconf -O-Scmake debian/rules override_dh_auto_configure make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{aarch64-linux-gnu}g;' \ < debian/libcaffe-dev.install.in > debian/libcaffe-dev.install perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{aarch64-linux-gnu}g;' \ < debian/libcaffe1.install.in > debian/libcaffe1.install dh_auto_configure --builddirectory="caffe_cpu_build" \ -- -DALLOW_LMDB_NOLOCK=OFF -DBLAS="Generic" -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version="3" -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_CXX_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX="/usr" -DCPU_ONLY=ON cd caffe_cpu_build && cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=None -DCMAKE_INSTALL_SYSCONFDIR=/etc -DCMAKE_INSTALL_LOCALSTATEDIR=/var -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_RUNSTATEDIR=/run -DCMAKE_SKIP_INSTALL_ALL_DEPENDENCY=ON "-GUnix Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON -DCMAKE_INSTALL_LIBDIR=lib/aarch64-linux-gnu -DALLOW_LMDB_NOLOCK=OFF -DBLAS=Generic -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version=3 -DCMAKE_BUILD_TYPE=Release "-DCMAKE_C_FLAGS=-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" "-DCMAKE_CXX_FLAGS=-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX=/usr -DCPU_ONLY=ON .. -- The C compiler identification is GNU 10.2.1 -- The CXX compiler identification is GNU 10.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done CMake Warning (dev) at cmake/Misc.cmake:32 (set): implicitly converting 'BOOLEAN' to 'STRING' type. Call Stack (most recent call first): CMakeLists.txt:25 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found Boost: /usr/lib/aarch64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.54") found components: system thread filesystem -- Found Threads: TRUE -- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/aarch64-linux-gnu/libgflags.so) -- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/aarch64-linux-gnu/libglog.so) -- Found Protobuf: /usr/lib/aarch64-linux-gnu/libprotobuf.so;-lpthread (found version "3.12.4") -- Found PROTOBUF Compiler: /usr/bin/protoc -- Found HDF5: /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so;/usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/aarch64-linux-gnu/libpthread.so;/usr/lib/aarch64-linux-gnu/libsz.so;/usr/lib/aarch64-linux-gnu/libz.so;/usr/lib/aarch64-linux-gnu/libdl.so;/usr/lib/aarch64-linux-gnu/libm.so (found version "1.10.6") found components: HL -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/aarch64-linux-gnu/liblmdb.so) -- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/aarch64-linux-gnu/libleveldb.so) -- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/aarch64-linux-gnu/libsnappy.so) -- -- CUDA is disabled. Building without it... -- OpenCV found (/usr/lib/aarch64-linux-gnu/cmake/opencv4) -- Looking for sgemm_ -- Looking for sgemm_ - found -- Found BLAS: /usr/lib/aarch64-linux-gnu/libblas.so -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.9.2", minimum required is "3.0") -- Found PythonLibs: /usr/lib/aarch64-linux-gnu/libpython3.9.so (found suitable version "3.9.2", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.19.5", minimum required is "1.7.1") -- NumPy ver. 1.19.5 found (include: /usr/lib/python3/dist-packages/numpy/core/include) -- Found Boost: /usr/lib/aarch64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.46") found components: python3 -- Could NOT find Git (missing: GIT_EXECUTABLE) -- -- ******************* Caffe Configuration Summary ******************* -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : OFF -- CPU_ONLY : ON -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Generic) -- Boost : Yes (ver. 1.74) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. ..) -- lmdb : Yes (ver. 0.9.24) -- LevelDB : Yes (ver. 1.22) -- Snappy : Yes (ver. 1.1.8) -- OpenCV : Yes (ver. 4.5.1) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.9.2) -- Libraries : /usr/lib/aarch64-linux-gnu/libpython3.9.so (ver 3.9.2) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.19.5) -- -- Install: -- Install path : /usr -- -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: USE_CUDNN -- Build files have been written to: /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all cd caffe_cpu_build && make -j8 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/caffe-1.0.0+git20180821.99bd997/src -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 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Scanning dependencies of target caffeproto make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o -c /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/caffe.pb.cc [ 1%] Linking CXX static library ../../lib/libcaffeproto.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -P CMakeFiles/caffeproto.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffeproto.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libcaffeproto.a CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o /usr/bin/ranlib ../../lib/libcaffeproto.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Scanning dependencies of target caffe make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/common.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/internal_thread.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/internal_thread.cpp [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/accuracy_layer.cpp [ 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 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/absval_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/absval_layer.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/shared_ptr.hpp:17, from /usr/include/boost/python/converter/shared_ptr_to_python.hpp:12, from /usr/include/boost/python/converter/arg_to_python.hpp:15, from /usr/include/boost/python/call.hpp:15, from /usr/include/boost/python/object_core.hpp:14, from /usr/include/boost/python/args.hpp:22, from /usr/include/boost/python.hpp:11, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:4: /usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall 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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 -fPIC -o CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/base_conv_layer.cpp /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] 298 | } catch (bp::error_already_set) { | ^~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] [ 11%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem 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Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function 'bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:60:66: warning: 'void google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int, int)' is deprecated: Please use the single parameter version of SetTotalBytesLimit(). The second parameter is ignored. [-Wdeprecated-declarations] 60 | coded_input->SetTotalBytesLimit(kProtoReadBytesLimit, 536870912); | ^ In file included from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:2: /usr/include/google/protobuf/io/coded_stream.h:397:8: note: declared here 397 | void SetTotalBytesLimit(int total_bytes_limit, int) { | ^~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../../lib/libcaffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,libcaffe.so.1.0.0 -o ../../lib/libcaffe.so.1.0.0 CMakeFiles/caffe.dir/blob.cpp.o CMakeFiles/caffe.dir/common.cpp.o 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/usr/lib/aarch64-linux-gnu/libboost_filesystem.so.1.74.0 -lpthread -lglog -lgflags -lprotobuf -lpthread /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb -lsnappy /usr/lib/aarch64-linux-gnu/libopencv_highgui.so.4.5.1 -lblas -lpython3.9 /usr/lib/aarch64-linux-gnu/libboost_python39.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_atomic.so.1.74.0 -lpthread /usr/lib/aarch64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_core.so.4.5.1 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_symlink_library ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pycaffe make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 python/CMakeFiles/pycaffe.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 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Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/depend.internal". Scanning dependencies of target pycaffe make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Building CXX object python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -Dpycaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/smart_ptr/make_shared_object.hpp:17, from /usr/include/boost/smart_ptr/make_shared.hpp:14, from /usr/include/boost/make_shared.hpp:14, from /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp:6: /usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../lib/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/pycaffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,_caffe.so -o ../lib/_caffe.so CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o ../lib/libcaffe.so.1.0.0 -lpython3.9 ../lib/libcaffeproto.a /usr/lib/aarch64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/aarch64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/aarch64-linux-gnu/libboost_python39.so.1.74.0 Creating symlink /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && touch /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/__init__.py cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && cp /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/*.py /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 test.testbin make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/test.testbin.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". 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 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp make[5]: 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 In file included from /usr/include/string.h:495, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39: In function 'char* strncpy(char*, const char*, size_t)', inlined from 'const char* testing::internal::posix::StrNCpy(char*, const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:2672:17, inlined from 'char* testing::internal::CloneString(const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2143:19, inlined from 'static const char* testing::internal::String::CloneCString(const char*)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: /usr/include/aarch64-linux-gnu/bits/string_fortified.h:106:34: warning: 'char* __builtin_strncpy(char*, const char*, long unsigned int)' output truncated before terminating nul copying as many bytes from a string as its length [-Wstringop-truncation] 106 | return __builtin___strncpy_chk (__dest, __src, __len, __bos (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp: In static member function 'static const char* testing::internal::String::CloneCString(const char*)': /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: note: length computed here 2154 | NULL : CloneString(c_str, strlen(c_str)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 60%] Linking CXX static library ../../lib/libgtest.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -E cmake_link_script CMakeFiles/gtest.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libgtest.a CMakeFiles/gtest.dir/gtest-all.cpp.o /usr/bin/ranlib ../../lib/libgtest.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target gtest make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Scanning dependencies of target test.testbin make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK 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-DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_caffe_main.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_blob.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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG 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../../../lib/libgtest.a ../../../lib/libcaffe.so.1.0.0 ../../../lib/libcaffeproto.a /usr/lib/aarch64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/aarch64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/aarch64-linux-gnu/libboost_python39.so.1.74.0 make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin 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' /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 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'/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 81%] Built target caffe make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.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/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/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend 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/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples 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Scanning dependencies of target convert_imageset Scanning dependencies of target extract_features Scanning dependencies of target compute_image_mean make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/build Scanning dependencies of target upgrade_solver_proto_text make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/build make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/build Scanning dependencies of target upgrade_net_proto_text Scanning dependencies of target upgrade_net_proto_binary make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[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 -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/depend.internal". 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Scanning dependencies of target caffe.bin 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/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 82%] Building CXX object tools/CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/convert_imageset.cpp [ 82%] Building CXX object tools/CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o Scanning dependencies of target convert_mnist_siamese_data cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 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tools/CMakeFiles/extract_features.dir/extract_features.cpp.o [ 84%] Building CXX object tools/CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o [ 84%] Building CXX object tools/CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall 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/build/caffe-1.0.0+git20180821.99bd997/tools/upgrade_net_proto_binary.cpp [ 85%] Building CXX object tools/CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o -c 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/usr/lib/aarch64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/aarch64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/aarch64-linux-gnu/libboost_python39.so.1.74.0 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln 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/usr/lib/aarch64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/aarch64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/aarch64-linux-gnu/libopencv_imgproc.so.4.5.1 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-Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/caffe.bin.dir/caffe.cpp.o -o caffe ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/aarch64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/aarch64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/aarch64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so 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Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. <./classcaffe_1_1XavierFiller.pdf> [264]) [265] [266] (./refman.ind Underfull \hbox (badness 10000) in paragraph at lines 38--40 []| \T1/phv/m/n/10 caffe::MultinomialLogisticLossLayer$\OML/cmm/m/it/10 <$ \T1/ phv/m/n/10 Dtype $\OML/cmm/m/it/10 >$\T1/phv/m/n/10 , [267] [268] [269] [270] [271] Underfull \hbox (badness 10000) in paragraph at lines 593--595 []| \T1/phv/m/n/10 caffe::MultinomialLogisticLossLayer$\OML/cmm/m/it/10 <$ \T1/ phv/m/n/10 Dtype $\OML/cmm/m/it/10 >$\T1/phv/m/n/10 , [272] Underfull \hbox (badness 10000) in paragraph at lines 774--776 []| \T1/phv/m/n/10 caffe::MultinomialLogisticLossLayer$\OML/cmm/m/it/10 <$ \T1/ phv/m/n/10 Dtype $\OML/cmm/m/it/10 >$\T1/phv/m/n/10 , [273]) (./refman.aux) ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on refman.pdf (291 pages, 1505462 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 -j8 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j8 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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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' make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend [ 2%] Built target gtest make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997 && /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* Note: Randomizing tests' orders with a seed of 51699 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [ 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) [----------] 4 tests from ConstantFillerTest/0 (1 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (13 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (3 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (51 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (54 ms) [----------] 12 tests from ArgMaxLayerTest/1 (134 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (125 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (23 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (47 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (38 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (115 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (122 ms) [----------] 8 tests from RMSPropSolverTest/1 (485 ms total) [----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/1.TestGradientL1 [ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) [ RUN ] HingeLossLayerTest/1.TestGradientL2 [ OK ] HingeLossLayerTest/1.TestGradientL2 (1 ms) [----------] 2 tests from HingeLossLayerTest/1 (1 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (12 ms) [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (16 ms) [----------] 2 tests from BilinearFillerTest/0 (28 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (1 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (1 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [----------] 12 tests from DataTransformTest/0 (2 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (6 ms) [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (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.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (7 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (8 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (6 ms) [----------] 10 tests from EltwiseLayerTest/0 (34 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (119 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (111 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (22 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (22 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (111 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (45 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (34 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (110 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (44 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (22 ms) [----------] 12 tests from NesterovSolverTest/0 (652 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (17 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (23 ms) [----------] 5 tests from EmbedLayerTest/0 (41 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (570 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (175 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (564 ms) [----------] 6 tests from MVNLayerTest/1 (1309 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (4 ms) [----------] 1 test from LayerFactoryTest/0 (4 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (300 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (300 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [----------] 5 tests from BenchmarkTest/1 (600 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (1 ms) [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (1 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) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (3 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (7 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (4 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (1 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (21 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (10 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (8 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (8 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (3 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (6 ms) [----------] 14 tests from DataLayerTest/0 (79 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (5 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (5 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (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) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (0 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (5 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (7 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (5 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (5 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (5 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [----------] 10 tests from PowerLayerTest/0 (30 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (21 ms) [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (16 ms) [----------] 2 tests from BilinearFillerTest/1 (38 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (6 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.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (69 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (6 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (14 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (59 ms) [----------] 12 tests from ArgMaxLayerTest/0 (163 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (18 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (0 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (19 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (17 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (54 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill5D [ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (1 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (1 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (77 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (10 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (6509 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (561 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (547 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (80 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (1040 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (3 ms) [----------] 9 tests from LSTMLayerTest/1 (8828 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (215 ms) [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (1 ms) [----------] 2 tests from BatchReindexLayerTest/1 (216 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) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (37 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (34 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (3 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (127 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (16 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (1109 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (3 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (985 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (682 ms) [----------] 15 tests from ConvolutionLayerTest/0 (2997 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (4040 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [----------] 5 tests from SPPLayerTest/1 (4040 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (36 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (26 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (17 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (27 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (27 ms) [----------] 5 tests from DBTest/0 (133 ms total) [----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/1.TestCreateSolver [ OK ] SolverFactoryTest/1.TestCreateSolver (2 ms) [----------] 1 test from SolverFactoryTest/1 (2 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (3 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (4 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [----------] 4 tests from GaussianFillerTest/0 (2 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) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1216 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (998 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1564 ms) [----------] 8 tests from LRNLayerTest/0 (3779 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (135 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (136 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (136 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [----------] 6 tests from MSRAFillerTest/1 (407 ms total) [----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/0.TestGradient [ OK ] EuclideanLossLayerTest/0.TestGradient (1 ms) [ RUN ] EuclideanLossLayerTest/0.TestForward [ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) [----------] 2 tests from EuclideanLossLayerTest/0 (1 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (352 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (326 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (679 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (8 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (5 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (3 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (146 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (5 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (4 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (149 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (5 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (4 ms) [----------] 58 tests from NeuronLayerTest/0 (408 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (2 ms) [----------] 1 test from LayerFactoryTest/1 (2 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (96 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (95 ms) [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (96 ms) [----------] 6 tests from MSRAFillerTest/0 (287 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (3 ms) [----------] 1 test from SolverTest/1 (3 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (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.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (348 ms) [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/1 (348 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (5 ms) [----------] 1 test from HDF5OutputLayerTest/0 (5 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (6 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (2 ms) [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (2 ms) [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (1 ms) [----------] 4 tests from NetUpgradeTest (12 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (5 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (155 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (1 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (192 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (138 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (156 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (130 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (291 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (126 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [----------] 20 tests from BiasLayerTest/0 (1195 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (49 ms) [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (2 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) [----------] 5 tests from MemoryDataLayerTest/0 (56 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (175 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (150 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (1 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (134 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (10 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (572 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (177 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (133 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (172 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (330 ms) [----------] 22 tests from ScaleLayerTest/1 (1854 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (2 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (2 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (2 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (1 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (2 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (4 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (3 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (2 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (1 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (2 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (10 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (9 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (2 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (3 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (5 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (2 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (1 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (3 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (7 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (2 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (1 ms) [----------] 26 tests from NetTest/0 (72 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (542 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (10 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (2 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (75 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (545 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (75 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (1037 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (6112 ms) [----------] 9 tests from LSTMLayerTest/0 (8398 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (115 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (24 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (46 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (127 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (24 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (47 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (118 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (9 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (43 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (55 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (615 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (63 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (63 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (63 ms) [----------] 6 tests from XavierFillerTest/0 (189 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (4 ms) [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [----------] 3 tests from PaddingLayerUpgradeTest (6 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (2520 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (428 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (364 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (833 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (1285 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (1 ms) [----------] 8 tests from Im2colLayerTest/0 (5431 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (6 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (5 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (6 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (5 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (34 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (42 ms) [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (11 ms) [----------] 2 tests from HDF5DataLayerTest/0 (55 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (23 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (117 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (125 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (37 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (46 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (22 ms) [----------] 8 tests from AdamSolverTest/1 (384 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (114 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (112 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (43 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (112 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (22 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (22 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (45 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (48 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (38 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (570 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (120 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (38 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (47 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (113 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (113 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (23 ms) [----------] 8 tests from RMSPropSolverTest/0 (469 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (49 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (23 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (22 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (114 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (120 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (35 ms) [----------] 8 tests from AdamSolverTest/0 (377 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (18 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (24 ms) [----------] 5 tests from EmbedLayerTest/1 (42 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (122 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (422 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (1 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (403 ms) [----------] 7 tests from TileLayerTest/1 (948 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (23 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (23 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (121 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (36 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (110 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (46 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (22 ms) [----------] 9 tests from AdaGradSolverTest/0 (395 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (7 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (1 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (7 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (8 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (8 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (7 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (1 ms) [----------] 10 tests from EltwiseLayerTest/1 (39 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (390 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (193 ms) [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (3 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1821 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (189 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (10 ms) [----------] 6 tests from RNNLayerTest/0 (2606 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (1 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (205 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (249 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [----------] 9 tests from InnerProductLayerTest/0 (456 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [----------] 4 tests from BlobSimpleTest/1 (1 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (1126 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1997 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (418 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (3542 ms total) [----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/1.TestInfogainLoss [ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) [ RUN ] InfogainLossLayerTest/1.TestGradient [ OK ] InfogainLossLayerTest/1.TestGradient (3 ms) [----------] 2 tests from InfogainLossLayerTest/1 (3 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (160 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (5 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (1 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (1 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (5 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (3 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (5 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (6 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (9 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (6 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (5 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (159 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (6 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (4 ms) [----------] 58 tests from NeuronLayerTest/1 (448 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (114 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (112 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (45 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (118 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (34 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (22 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (46 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (23 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (111 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (44 ms) [----------] 12 tests from SGDSolverTest/0 (683 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (5 ms) [----------] 1 test from HDF5OutputLayerTest/1 (5 ms total) [----------] 3 tests from SyncedMemoryTest [ RUN ] SyncedMemoryTest.TestInitialization [ OK ] SyncedMemoryTest.TestInitialization (0 ms) [ RUN ] SyncedMemoryTest.TestAllocationCPU [ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) [ RUN ] SyncedMemoryTest.TestCPUWrite [ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) [----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (1 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (3858 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [----------] 5 tests from SPPLayerTest/0 (3860 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (319 ms) [----------] 3 tests from BatchNormLayerTest/1 (319 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (5 ms) [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (5 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (4 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (8 ms) [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [----------] 3 tests from TanHLayerTest/1 (8 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (1 ms) [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (0 ms) [----------] 2 tests from InternalThreadTest (1 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (159 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (135 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (312 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (6 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (135 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (157 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (191 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (146 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (1 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [----------] 20 tests from BiasLayerTest/1 (1243 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (403 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (1 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (374 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (778 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (1 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (0 ms) [----------] 2 tests from HingeLossLayerTest/0 (1 ms total) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (1 ms) [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (206 ms) [----------] 2 tests from BatchReindexLayerTest/0 (207 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (50 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (183 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (52 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (180 ms) [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (184 ms) [----------] 5 tests from ImageDataLayerTest/0 (649 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (66 ms) [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (53 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (232 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (192 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (191 ms) [----------] 5 tests from ImageDataLayerTest/1 (734 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (1554 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (380 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (980 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (1232 ms) [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (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.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [----------] 11 tests from PoolingLayerTest/1 (4146 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (1 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (0 ms) [----------] 12 tests from DataTransformTest/1 (1 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (2690 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (438 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (731 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (1 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [----------] 11 tests from CropLayerTest/0 (3860 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.Test [ OK ] SplitLayerTest/1.Test (0 ms) [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (9 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/1 (9 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (434 ms) [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (1 ms) [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [----------] 3 tests from FilterLayerTest/0 (435 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (0 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (19 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (19 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (18 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (56 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (0 ms) [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (309 ms) [----------] 2 tests from SoftmaxLayerTest/0 (309 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (6 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (6 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (6 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (7 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [----------] 10 tests from PowerLayerTest/1 (31 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/0 (0 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (5 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (23 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (22 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (114 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (37 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (23 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (112 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (44 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (45 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (109 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (116 ms) [----------] 12 tests from NesterovSolverTest/1 (659 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (3 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (0 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.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) [----------] 8 tests from SplitLayerInsertionTest (7 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (2620 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (432 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (724 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [----------] 11 tests from CropLayerTest/1 (3777 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (6 ms) [----------] 9 tests from AccuracyLayerTest/1 (11 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (59 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (1 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (67 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (17 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) [----------] 8 tests from SliceLayerTest/0 (145 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (1 ms) [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/0 (1 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (16 ms) [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (16 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (16 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (16 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (15 ms) [----------] 5 tests from DBTest/1 (80 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (3 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (2 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (50 ms) [----------] 5 tests from MemoryDataLayerTest/1 (58 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (211 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (261 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (473 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (1 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (430 ms) [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (427 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (170 ms) [----------] 6 tests from MVNLayerTest/0 (1028 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (14 ms) [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (46 ms) [----------] 2 tests from HDF5DataLayerTest/1 (60 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (3 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (35 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (16 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (994 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (127 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (3 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (734 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (33 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (1132 ms) [----------] 15 tests from ConvolutionLayerTest/1 (3080 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [----------] 27 tests from ReductionLayerTest/0 (20 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (121 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (381 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (404 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [----------] 7 tests from TileLayerTest/0 (906 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1746 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1418 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (1 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (1312 ms) [----------] 8 tests from LRNLayerTest/1 (4478 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (2 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (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.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (1 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [----------] 20 tests from FilterNetTest (10 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) [----------] 1 test from SolverTypeUpgradeTest (1 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (5 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (3 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (1 ms) [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (7 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (6 ms) [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [----------] 10 tests from ConcatLayerTest/0 (22 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) [----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/0.TestGradient [ OK ] InfogainLossLayerTest/0.TestGradient (3 ms) [ RUN ] InfogainLossLayerTest/0.TestInfogainLoss [ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/0 (3 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (6 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (0 ms) [----------] 9 tests from AccuracyLayerTest/0 (11 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (1 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (328 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (9 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (175 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (146 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (126 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (572 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (130 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (174 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (176 ms) [----------] 22 tests from ScaleLayerTest/0 (1837 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (1205 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (1 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (935 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (372 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (1 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (1512 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [----------] 11 tests from PoolingLayerTest/0 (4026 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (3 ms) [----------] 1 test from SolverTest/0 (3 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (0 ms total) [----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/0.TestCreateSolver [ OK ] SolverFactoryTest/0.TestCreateSolver (2 ms) [----------] 1 test from SolverFactoryTest/0 (2 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (0 ms) [ 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) [----------] 4 tests from GaussianFillerTest/1 (2 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (8 ms) [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (6 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (8 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (7 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (6 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (7 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (6 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (48 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (9 ms) [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/0 (9 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [----------] 4 tests from UniformFillerTest/0 (0 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (1 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (63 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (65 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (64 ms) [----------] 6 tests from XavierFillerTest/1 (193 ms total) [----------] 2 tests from CommonTest [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (0 ms) [----------] 2 tests from CommonTest (0 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (456 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (1368 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (376 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (2559 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (852 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [----------] 8 tests from Im2colLayerTest/1 (5611 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (1 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (4 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (5 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (405 ms) [ 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 (1806 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (1112 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (3324 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (7 ms) [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (1 ms) [----------] 3 tests from TanHLayerTest/0 (8 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (271 ms) [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) [----------] 3 tests from BatchNormLayerTest/0 (271 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (17 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (1 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (67 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (57 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [----------] 8 tests from SliceLayerTest/1 (142 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (4 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (2 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (6 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (4 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (10 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (6 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (15 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (19 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (9 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (10 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (17 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (21 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (8 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (18 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (8 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (7 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (19 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (7 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (9 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (20 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (6 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (8 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (19 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (8 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (20 ms) [----------] 26 tests from IOTest (282 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (2 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (2 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (8 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (2 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (10 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (2 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (5 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (7 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (5 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (1 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (2 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (4 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (2 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (3 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (0 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (2 ms) [----------] 26 tests from NetTest/1 (71 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (301 ms) [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) [----------] 5 tests from BenchmarkTest/0 (601 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) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (4 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (442 ms) [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (3 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (242 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1882 ms) [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (10 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (199 ms) [----------] 6 tests from RNNLayerTest/1 (2778 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (5 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/0 (5 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (3 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (3 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (9 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (1 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (3 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (8 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (2 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (7 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (12 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (2 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (1 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (1 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (21 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (4 ms) [----------] 14 tests from DataLayerTest/1 (77 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (6 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (4 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (12 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (5 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (1 ms) [----------] 10 tests from ConcatLayerTest/1 (29 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (51 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (23 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (123 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (116 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (50 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (40 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (23 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (46 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (116 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (116 ms) [----------] 12 tests from SGDSolverTest/1 (718 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (456 ms) [----------] 3 tests from FilterLayerTest/1 (457 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (51 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (9 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (125 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (42 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (117 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (23 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (24 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (23 ms) [----------] 9 tests from AdaGradSolverTest/1 (421 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) [----------] 27 tests from ReductionLayerTest/1 (19 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (1 ms) [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (2 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (107131 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pytest make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 CMakeFiles/pytest.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/pytest.dir/DependInfo.cmake --color= Scanning dependencies of target pytest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test Matplotlib is building the font cache; this may take a moment. .../build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead. self.assertEquals(ax, 1) ................WARNING: Logging before InitGoogleLogging() is written to STDERR I0718 09:46:46.374714 31304 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0718 09:46:46.374802 31304 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I0718 09:46:46.374825 31304 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0718 09:46:46.374836 31304 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I0718 09:46:46.374850 31304 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" } } I0718 09:46:46.375036 31304 layer_factory.hpp:77] Creating layer deploy_data I0718 09:46:46.375085 31304 net.cpp:86] Creating Layer deploy_data I0718 09:46:46.375104 31304 net.cpp:382] deploy_data -> data I0718 09:46:46.375185 31304 net.cpp:124] Setting up deploy_data I0718 09:46:46.375349 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.375367 31304 net.cpp:139] Memory required for data: 400 I0718 09:46:46.375377 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.375401 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.375414 31304 net.cpp:408] ip <- data I0718 09:46:46.375432 31304 net.cpp:382] ip -> ip I0718 09:46:46.375499 31304 net.cpp:124] Setting up ip I0718 09:46:46.375515 31304 net.cpp:131] Top shape: 1 2 (2) I0718 09:46:46.375530 31304 net.cpp:139] Memory required for data: 408 I0718 09:46:46.375556 31304 layer_factory.hpp:77] Creating layer pred I0718 09:46:46.375579 31304 net.cpp:86] Creating Layer pred I0718 09:46:46.375591 31304 net.cpp:408] pred <- ip I0718 09:46:46.375605 31304 net.cpp:382] pred -> pred I0718 09:46:46.375646 31304 net.cpp:124] Setting up pred I0718 09:46:46.375659 31304 net.cpp:131] Top shape: 1 2 (2) I0718 09:46:46.375671 31304 net.cpp:139] Memory required for data: 416 I0718 09:46:46.375680 31304 net.cpp:202] pred does not need backward computation. I0718 09:46:46.375691 31304 net.cpp:202] ip does not need backward computation. I0718 09:46:46.375701 31304 net.cpp:202] deploy_data does not need backward computation. I0718 09:46:46.375710 31304 net.cpp:244] This network produces output pred I0718 09:46:46.375725 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.378221 31304 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I0718 09:46:46.378249 31304 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I0718 09:46:46.378268 31304 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I0718 09:46:46.378279 31304 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" } } I0718 09:46:46.378456 31304 layer_factory.hpp:77] Creating layer train_data I0718 09:46:46.378486 31304 net.cpp:86] Creating Layer train_data I0718 09:46:46.378505 31304 net.cpp:382] train_data -> data I0718 09:46:46.378536 31304 net.cpp:382] train_data -> label I0718 09:46:46.378579 31304 net.cpp:124] Setting up train_data I0718 09:46:46.378597 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.378614 31304 net.cpp:131] Top shape: 1 1 1 1 (1) I0718 09:46:46.378626 31304 net.cpp:139] Memory required for data: 404 I0718 09:46:46.378638 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.378656 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.378669 31304 net.cpp:408] ip <- data I0718 09:46:46.378684 31304 net.cpp:382] ip -> ip I0718 09:46:46.378726 31304 net.cpp:124] Setting up ip I0718 09:46:46.378741 31304 net.cpp:131] Top shape: 1 2 (2) I0718 09:46:46.378752 31304 net.cpp:139] Memory required for data: 412 I0718 09:46:46.378777 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.378801 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.378814 31304 net.cpp:408] loss <- ip I0718 09:46:46.378827 31304 net.cpp:408] loss <- label I0718 09:46:46.378845 31304 net.cpp:382] loss -> loss I0718 09:46:46.378893 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.378950 31304 net.cpp:124] Setting up loss I0718 09:46:46.378966 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.378979 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.379014 31304 net.cpp:139] Memory required for data: 416 I0718 09:46:46.379029 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.379041 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.379052 31304 net.cpp:202] train_data does not need backward computation. I0718 09:46:46.379060 31304 net.cpp:244] This network produces output loss I0718 09:46:46.379076 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.380898 31304 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0718 09:46:46.380936 31304 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I0718 09:46:46.380949 31304 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0718 09:46:46.380964 31304 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I0718 09:46:46.380973 31304 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" } } I0718 09:46:46.381161 31304 layer_factory.hpp:77] Creating layer val_data I0718 09:46:46.381191 31304 net.cpp:86] Creating Layer val_data I0718 09:46:46.381211 31304 net.cpp:382] val_data -> data I0718 09:46:46.381242 31304 net.cpp:382] val_data -> label I0718 09:46:46.381280 31304 net.cpp:124] Setting up val_data I0718 09:46:46.381294 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.381309 31304 net.cpp:131] Top shape: 1 1 1 1 (1) I0718 09:46:46.381319 31304 net.cpp:139] Memory required for data: 404 I0718 09:46:46.381328 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.381343 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.381356 31304 net.cpp:408] ip <- data I0718 09:46:46.381371 31304 net.cpp:382] ip -> ip I0718 09:46:46.381408 31304 net.cpp:124] Setting up ip I0718 09:46:46.381420 31304 net.cpp:131] Top shape: 1 2 (2) I0718 09:46:46.381430 31304 net.cpp:139] Memory required for data: 412 I0718 09:46:46.381453 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.381475 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.381484 31304 net.cpp:408] loss <- ip I0718 09:46:46.381496 31304 net.cpp:408] loss <- label I0718 09:46:46.381511 31304 net.cpp:382] loss -> loss I0718 09:46:46.381534 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.381574 31304 net.cpp:124] Setting up loss I0718 09:46:46.381587 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.381598 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.381624 31304 net.cpp:139] Memory required for data: 416 I0718 09:46:46.381635 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.381647 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.381657 31304 net.cpp:202] val_data does not need backward computation. I0718 09:46:46.381666 31304 net.cpp:244] This network produces output loss I0718 09:46:46.381682 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.383440 31304 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I0718 09:46:46.383477 31304 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I0718 09:46:46.383488 31304 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 } } I0718 09:46:46.383698 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.383726 31304 net.cpp:86] Creating Layer data I0718 09:46:46.383741 31304 net.cpp:382] data -> data I0718 09:46:46.383777 31304 net.cpp:124] Setting up data I0718 09:46:46.383790 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.383803 31304 net.cpp:139] Memory required for data: 400 I0718 09:46:46.383814 31304 layer_factory.hpp:77] Creating layer data_data_0_split I0718 09:46:46.383836 31304 net.cpp:86] Creating Layer data_data_0_split I0718 09:46:46.383846 31304 net.cpp:408] data_data_0_split <- data I0718 09:46:46.383862 31304 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0718 09:46:46.383879 31304 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0718 09:46:46.383901 31304 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0718 09:46:46.383927 31304 net.cpp:124] Setting up data_data_0_split I0718 09:46:46.383939 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.383950 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.383960 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.383970 31304 net.cpp:139] Memory required for data: 1600 I0718 09:46:46.383977 31304 layer_factory.hpp:77] Creating layer NoLevel I0718 09:46:46.383991 31304 net.cpp:86] Creating Layer NoLevel I0718 09:46:46.384001 31304 net.cpp:408] NoLevel <- data_data_0_split_0 I0718 09:46:46.384016 31304 net.cpp:382] NoLevel -> NoLevel I0718 09:46:46.384052 31304 net.cpp:124] Setting up NoLevel I0718 09:46:46.384064 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.384078 31304 net.cpp:139] Memory required for data: 1604 I0718 09:46:46.384100 31304 layer_factory.hpp:77] Creating layer Level0Only I0718 09:46:46.384125 31304 net.cpp:86] Creating Layer Level0Only I0718 09:46:46.384136 31304 net.cpp:408] Level0Only <- data_data_0_split_1 I0718 09:46:46.384153 31304 net.cpp:382] Level0Only -> Level0Only I0718 09:46:46.384187 31304 net.cpp:124] Setting up Level0Only I0718 09:46:46.384200 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.384213 31304 net.cpp:139] Memory required for data: 1608 I0718 09:46:46.384233 31304 layer_factory.hpp:77] Creating layer Level>=0 I0718 09:46:46.384254 31304 net.cpp:86] Creating Layer Level>=0 I0718 09:46:46.384264 31304 net.cpp:408] Level>=0 <- data_data_0_split_2 I0718 09:46:46.384280 31304 net.cpp:382] Level>=0 -> Level>=0 I0718 09:46:46.384311 31304 net.cpp:124] Setting up Level>=0 I0718 09:46:46.384321 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.384332 31304 net.cpp:139] Memory required for data: 1612 I0718 09:46:46.384351 31304 net.cpp:202] Level>=0 does not need backward computation. I0718 09:46:46.384362 31304 net.cpp:202] Level0Only does not need backward computation. I0718 09:46:46.384371 31304 net.cpp:202] NoLevel does not need backward computation. I0718 09:46:46.384382 31304 net.cpp:202] data_data_0_split does not need backward computation. I0718 09:46:46.384392 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.384402 31304 net.cpp:244] This network produces output Level0Only I0718 09:46:46.384413 31304 net.cpp:244] This network produces output Level>=0 I0718 09:46:46.384423 31304 net.cpp:244] This network produces output NoLevel I0718 09:46:46.384441 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.385887 31304 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I0718 09:46:46.385921 31304 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 } } I0718 09:46:46.386157 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.386188 31304 net.cpp:86] Creating Layer data I0718 09:46:46.386204 31304 net.cpp:382] data -> data I0718 09:46:46.386246 31304 net.cpp:124] Setting up data I0718 09:46:46.386260 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.386274 31304 net.cpp:139] Memory required for data: 400 I0718 09:46:46.386286 31304 layer_factory.hpp:77] Creating layer data_data_0_split I0718 09:46:46.386304 31304 net.cpp:86] Creating Layer data_data_0_split I0718 09:46:46.386318 31304 net.cpp:408] data_data_0_split <- data I0718 09:46:46.386338 31304 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0718 09:46:46.386363 31304 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0718 09:46:46.386384 31304 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0718 09:46:46.386404 31304 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0718 09:46:46.386431 31304 net.cpp:124] Setting up data_data_0_split I0718 09:46:46.386445 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.386459 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.386471 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.386482 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.386492 31304 net.cpp:139] Memory required for data: 2000 I0718 09:46:46.386502 31304 layer_factory.hpp:77] Creating layer NoLevel I0718 09:46:46.386523 31304 net.cpp:86] Creating Layer NoLevel I0718 09:46:46.386538 31304 net.cpp:408] NoLevel <- data_data_0_split_0 I0718 09:46:46.386559 31304 net.cpp:382] NoLevel -> NoLevel I0718 09:46:46.386601 31304 net.cpp:124] Setting up NoLevel I0718 09:46:46.386613 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.386626 31304 net.cpp:139] Memory required for data: 2004 I0718 09:46:46.386651 31304 layer_factory.hpp:77] Creating layer Level1Only I0718 09:46:46.386670 31304 net.cpp:86] Creating Layer Level1Only I0718 09:46:46.386684 31304 net.cpp:408] Level1Only <- data_data_0_split_1 I0718 09:46:46.386703 31304 net.cpp:382] Level1Only -> Level1Only I0718 09:46:46.386736 31304 net.cpp:124] Setting up Level1Only I0718 09:46:46.386749 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.386761 31304 net.cpp:139] Memory required for data: 2008 I0718 09:46:46.386780 31304 layer_factory.hpp:77] Creating layer Level>=0 I0718 09:46:46.386801 31304 net.cpp:86] Creating Layer Level>=0 I0718 09:46:46.386813 31304 net.cpp:408] Level>=0 <- data_data_0_split_2 I0718 09:46:46.386831 31304 net.cpp:382] Level>=0 -> Level>=0 I0718 09:46:46.386864 31304 net.cpp:124] Setting up Level>=0 I0718 09:46:46.386876 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.386888 31304 net.cpp:139] Memory required for data: 2012 I0718 09:46:46.386910 31304 layer_factory.hpp:77] Creating layer Level>=1 I0718 09:46:46.386929 31304 net.cpp:86] Creating Layer Level>=1 I0718 09:46:46.386940 31304 net.cpp:408] Level>=1 <- data_data_0_split_3 I0718 09:46:46.386955 31304 net.cpp:382] Level>=1 -> Level>=1 I0718 09:46:46.386996 31304 net.cpp:124] Setting up Level>=1 I0718 09:46:46.387009 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.387022 31304 net.cpp:139] Memory required for data: 2016 I0718 09:46:46.387037 31304 net.cpp:202] Level>=1 does not need backward computation. I0718 09:46:46.387050 31304 net.cpp:202] Level>=0 does not need backward computation. I0718 09:46:46.387061 31304 net.cpp:202] Level1Only does not need backward computation. I0718 09:46:46.387073 31304 net.cpp:202] NoLevel does not need backward computation. I0718 09:46:46.387084 31304 net.cpp:202] data_data_0_split does not need backward computation. I0718 09:46:46.387094 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.387100 31304 net.cpp:244] This network produces output Level1Only I0718 09:46:46.387110 31304 net.cpp:244] This network produces output Level>=0 I0718 09:46:46.387120 31304 net.cpp:244] This network produces output Level>=1 I0718 09:46:46.387130 31304 net.cpp:244] This network produces output NoLevel I0718 09:46:46.387147 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.389035 31304 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" } I0718 09:46:46.389344 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.389377 31304 net.cpp:86] Creating Layer data I0718 09:46:46.389396 31304 net.cpp:382] data -> data I0718 09:46:46.389425 31304 net.cpp:382] data -> label I0718 09:46:46.389461 31304 net.cpp:124] Setting up data I0718 09:46:46.389478 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.389494 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.389506 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.389518 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.389552 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.389565 31304 net.cpp:408] conv <- data I0718 09:46:46.389587 31304 net.cpp:382] conv -> conv I0718 09:46:46.389786 31304 net.cpp:124] Setting up conv I0718 09:46:46.389806 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.389817 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.389840 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.389861 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.389873 31304 net.cpp:408] ip <- conv I0718 09:46:46.389889 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.390159 31304 net.cpp:124] Setting up ip I0718 09:46:46.390179 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.390192 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.390211 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.390228 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.390239 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.390249 31304 net.cpp:408] loss <- label I0718 09:46:46.390262 31304 net.cpp:382] loss -> loss I0718 09:46:46.390286 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.390324 31304 net.cpp:124] Setting up loss I0718 09:46:46.390334 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.390345 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.390367 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.390377 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.390388 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.390398 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.390408 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.390416 31304 net.cpp:244] This network produces output loss I0718 09:46:46.390432 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.395790 31304 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" } I0718 09:46:46.396108 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.396140 31304 net.cpp:86] Creating Layer data I0718 09:46:46.396159 31304 net.cpp:382] data -> data I0718 09:46:46.396193 31304 net.cpp:382] data -> label I0718 09:46:46.396231 31304 net.cpp:124] Setting up data I0718 09:46:46.396245 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.396261 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.396272 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.396282 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.396308 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.396319 31304 net.cpp:408] conv <- data I0718 09:46:46.396338 31304 net.cpp:382] conv -> conv I0718 09:46:46.396407 31304 net.cpp:124] Setting up conv I0718 09:46:46.396420 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.396430 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.396452 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.396471 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.396483 31304 net.cpp:408] ip <- conv I0718 09:46:46.396500 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.396775 31304 net.cpp:124] Setting up ip I0718 09:46:46.396795 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.396806 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.396824 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.396842 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.396850 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.396862 31304 net.cpp:408] loss <- label I0718 09:46:46.396873 31304 net.cpp:382] loss -> loss I0718 09:46:46.396899 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.396937 31304 net.cpp:124] Setting up loss I0718 09:46:46.396947 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.396957 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.396977 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.396986 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.396996 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.397004 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.397014 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.397023 31304 net.cpp:244] This network produces output loss I0718 09:46:46.397037 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.406790 31304 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" } I0718 09:46:46.407120 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.407155 31304 net.cpp:86] Creating Layer data I0718 09:46:46.407173 31304 net.cpp:382] data -> data I0718 09:46:46.407231 31304 net.cpp:382] data -> label I0718 09:46:46.407276 31304 net.cpp:124] Setting up data I0718 09:46:46.407291 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.407310 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.407322 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.407332 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.407359 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.407371 31304 net.cpp:408] conv <- data I0718 09:46:46.407392 31304 net.cpp:382] conv -> conv I0718 09:46:46.407476 31304 net.cpp:124] Setting up conv I0718 09:46:46.407492 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.407506 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.407531 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.407552 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.407564 31304 net.cpp:408] ip <- conv I0718 09:46:46.407582 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.407863 31304 net.cpp:124] Setting up ip I0718 09:46:46.407883 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.407896 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.407915 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.407932 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.407941 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.407953 31304 net.cpp:408] loss <- label I0718 09:46:46.407966 31304 net.cpp:382] loss -> loss I0718 09:46:46.407994 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.408032 31304 net.cpp:124] Setting up loss I0718 09:46:46.408046 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.408057 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.408082 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.408092 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.408103 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.408113 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.408123 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.408134 31304 net.cpp:244] This network produces output loss I0718 09:46:46.408151 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.410956 31304 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" } I0718 09:46:46.411389 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.411432 31304 net.cpp:86] Creating Layer data I0718 09:46:46.411449 31304 net.cpp:382] data -> data I0718 09:46:46.411476 31304 net.cpp:382] data -> label I0718 09:46:46.411511 31304 net.cpp:124] Setting up data I0718 09:46:46.411522 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.411537 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.411548 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.411558 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.411585 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.411597 31304 net.cpp:408] conv <- data I0718 09:46:46.411618 31304 net.cpp:382] conv -> conv I0718 09:46:46.411687 31304 net.cpp:124] Setting up conv I0718 09:46:46.411703 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.411717 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.411741 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.411763 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.411774 31304 net.cpp:408] ip <- conv I0718 09:46:46.411792 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.412072 31304 net.cpp:124] Setting up ip I0718 09:46:46.412094 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.412107 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.412128 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.412145 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.412155 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.412166 31304 net.cpp:408] loss <- label I0718 09:46:46.412180 31304 net.cpp:382] loss -> loss I0718 09:46:46.412210 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.412254 31304 net.cpp:124] Setting up loss I0718 09:46:46.412271 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.412286 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.412310 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.412322 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.412335 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.412348 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.412360 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.412371 31304 net.cpp:244] This network produces output loss I0718 09:46:46.412391 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.416774 31304 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" } I0718 09:46:46.417094 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.417129 31304 net.cpp:86] Creating Layer data I0718 09:46:46.417150 31304 net.cpp:382] data -> data I0718 09:46:46.417181 31304 net.cpp:382] data -> label I0718 09:46:46.417222 31304 net.cpp:124] Setting up data I0718 09:46:46.417237 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.417254 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.417265 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.417274 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.417304 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.417317 31304 net.cpp:408] conv <- data I0718 09:46:46.417338 31304 net.cpp:382] conv -> conv I0718 09:46:46.417419 31304 net.cpp:124] Setting up conv I0718 09:46:46.417435 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.417449 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.417474 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.417497 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.417507 31304 net.cpp:408] ip <- conv I0718 09:46:46.417524 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.417807 31304 net.cpp:124] Setting up ip I0718 09:46:46.417830 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.417842 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.417863 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.417883 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.417893 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.417904 31304 net.cpp:408] loss <- label I0718 09:46:46.417918 31304 net.cpp:382] loss -> loss I0718 09:46:46.417948 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.417989 31304 net.cpp:124] Setting up loss I0718 09:46:46.418001 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.418013 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.418037 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.418047 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.418061 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.418069 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.418079 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.418090 31304 net.cpp:244] This network produces output loss I0718 09:46:46.418107 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.420425 31304 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" } I0718 09:46:46.420718 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.420750 31304 net.cpp:86] Creating Layer data I0718 09:46:46.420768 31304 net.cpp:382] data -> data I0718 09:46:46.420795 31304 net.cpp:382] data -> label I0718 09:46:46.420831 31304 net.cpp:124] Setting up data I0718 09:46:46.420845 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.420858 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.420869 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.420878 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.420905 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.420917 31304 net.cpp:408] conv <- data I0718 09:46:46.420938 31304 net.cpp:382] conv -> conv I0718 09:46:46.421011 31304 net.cpp:124] Setting up conv I0718 09:46:46.421027 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.421041 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.421064 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.421087 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.421097 31304 net.cpp:408] ip <- conv I0718 09:46:46.421114 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.421393 31304 net.cpp:124] Setting up ip I0718 09:46:46.421413 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.421425 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.421444 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.421461 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.421471 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.421483 31304 net.cpp:408] loss <- label I0718 09:46:46.421496 31304 net.cpp:382] loss -> loss I0718 09:46:46.421523 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.421561 31304 net.cpp:124] Setting up loss I0718 09:46:46.421573 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.421586 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.421607 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.421617 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.421627 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.421638 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.421648 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.421656 31304 net.cpp:244] This network produces output loss I0718 09:46:46.421671 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.424023 31304 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" } I0718 09:46:46.424343 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.424377 31304 net.cpp:86] Creating Layer data I0718 09:46:46.424396 31304 net.cpp:382] data -> data I0718 09:46:46.424427 31304 net.cpp:382] data -> label I0718 09:46:46.424466 31304 net.cpp:124] Setting up data I0718 09:46:46.424481 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.424499 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.424510 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.424521 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.424551 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.424564 31304 net.cpp:408] conv <- data I0718 09:46:46.424587 31304 net.cpp:382] conv -> conv I0718 09:46:46.424662 31304 net.cpp:124] Setting up conv I0718 09:46:46.424682 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.424696 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.424723 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.424746 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.424759 31304 net.cpp:408] ip <- conv I0718 09:46:46.424778 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.425060 31304 net.cpp:124] Setting up ip I0718 09:46:46.425084 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.425098 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.425119 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.425139 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.425151 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.425165 31304 net.cpp:408] loss <- label I0718 09:46:46.425181 31304 net.cpp:382] loss -> loss I0718 09:46:46.425213 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.425259 31304 net.cpp:124] Setting up loss I0718 09:46:46.425276 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.425287 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.425310 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.425320 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.425331 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.425341 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.425352 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.425361 31304 net.cpp:244] This network produces output loss I0718 09:46:46.425377 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.428570 31304 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" } I0718 09:46:46.428850 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.428879 31304 net.cpp:86] Creating Layer data I0718 09:46:46.428896 31304 net.cpp:382] data -> data I0718 09:46:46.428925 31304 net.cpp:382] data -> label I0718 09:46:46.428962 31304 net.cpp:124] Setting up data I0718 09:46:46.428974 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.428990 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.429000 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.429010 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.429034 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.429044 31304 net.cpp:408] conv <- data I0718 09:46:46.429061 31304 net.cpp:382] conv -> conv I0718 09:46:46.429127 31304 net.cpp:124] Setting up conv I0718 09:46:46.429138 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.429149 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.429172 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.429188 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.429198 31304 net.cpp:408] ip <- conv I0718 09:46:46.429212 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.429482 31304 net.cpp:124] Setting up ip I0718 09:46:46.429503 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.429515 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.429534 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.429553 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.429561 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.429574 31304 net.cpp:408] loss <- label I0718 09:46:46.429586 31304 net.cpp:382] loss -> loss I0718 09:46:46.429612 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.429652 31304 net.cpp:124] Setting up loss I0718 09:46:46.429664 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.429677 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.429697 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.429708 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.429719 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.429728 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.429738 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.429747 31304 net.cpp:244] This network produces output loss I0718 09:46:46.429764 31304 net.cpp:257] Network initialization done. W0718 09:46:46.431661 31304 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W0718 09:46:46.431700 31304 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W0718 09:46:46.431710 31304 _caffe.cpp:142] Net('/tmp/tmp7ebxn7w9', 0, weights='/tmp/tmpbos85z55') I0718 09:46:46.432050 31304 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" } I0718 09:46:46.432313 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.432346 31304 net.cpp:86] Creating Layer data I0718 09:46:46.432366 31304 net.cpp:382] data -> data I0718 09:46:46.432396 31304 net.cpp:382] data -> label I0718 09:46:46.432431 31304 net.cpp:124] Setting up data I0718 09:46:46.432446 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.432461 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.432472 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.432482 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.432509 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.432523 31304 net.cpp:408] conv <- data I0718 09:46:46.432540 31304 net.cpp:382] conv -> conv I0718 09:46:46.432610 31304 net.cpp:124] Setting up conv I0718 09:46:46.432626 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.432639 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.432663 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.432684 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.432696 31304 net.cpp:408] ip <- conv I0718 09:46:46.432713 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.432988 31304 net.cpp:124] Setting up ip I0718 09:46:46.433009 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.433022 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.433041 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.433059 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.433069 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.433081 31304 net.cpp:408] loss <- label I0718 09:46:46.433095 31304 net.cpp:382] loss -> loss I0718 09:46:46.433118 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.433162 31304 net.cpp:124] Setting up loss I0718 09:46:46.433176 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.433187 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.433207 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.433218 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.433228 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.433238 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.433248 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.433256 31304 net.cpp:244] This network produces output loss I0718 09:46:46.433272 31304 net.cpp:257] Network initialization done. I0718 09:46:46.436384 31304 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" } I0718 09:46:46.436671 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.436702 31304 net.cpp:86] Creating Layer data I0718 09:46:46.436719 31304 net.cpp:382] data -> data I0718 09:46:46.436745 31304 net.cpp:382] data -> label I0718 09:46:46.436779 31304 net.cpp:124] Setting up data I0718 09:46:46.436790 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.436806 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.436817 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.436827 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.436852 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.436864 31304 net.cpp:408] conv <- data I0718 09:46:46.436884 31304 net.cpp:382] conv -> conv I0718 09:46:46.436950 31304 net.cpp:124] Setting up conv I0718 09:46:46.436964 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.436976 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.436997 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.437017 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.437028 31304 net.cpp:408] ip <- conv I0718 09:46:46.437045 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.437315 31304 net.cpp:124] Setting up ip I0718 09:46:46.437335 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.437345 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.437363 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.437379 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.437389 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.437399 31304 net.cpp:408] loss <- label I0718 09:46:46.437412 31304 net.cpp:382] loss -> loss I0718 09:46:46.437433 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.437465 31304 net.cpp:124] Setting up loss I0718 09:46:46.437475 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.437485 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.437503 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.437511 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.437521 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.437530 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.437539 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.437548 31304 net.cpp:244] This network produces output loss I0718 09:46:46.437562 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.440613 31304 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" } I0718 09:46:46.440881 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.440908 31304 net.cpp:86] Creating Layer data I0718 09:46:46.440924 31304 net.cpp:382] data -> data I0718 09:46:46.440950 31304 net.cpp:382] data -> label I0718 09:46:46.440981 31304 net.cpp:124] Setting up data I0718 09:46:46.440992 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.441009 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.441018 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.441027 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.441049 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.441061 31304 net.cpp:408] conv <- data I0718 09:46:46.441079 31304 net.cpp:382] conv -> conv I0718 09:46:46.441145 31304 net.cpp:124] Setting up conv I0718 09:46:46.441162 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.441176 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.441201 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.441222 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.441232 31304 net.cpp:408] ip <- conv I0718 09:46:46.441249 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.441514 31304 net.cpp:124] Setting up ip I0718 09:46:46.441534 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.441545 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.441563 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.441581 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.441592 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.441603 31304 net.cpp:408] loss <- label I0718 09:46:46.441617 31304 net.cpp:382] loss -> loss I0718 09:46:46.441639 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.441677 31304 net.cpp:124] Setting up loss I0718 09:46:46.441689 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.441700 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.441721 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.441731 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.441742 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.441752 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.441762 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.441771 31304 net.cpp:244] This network produces output loss I0718 09:46:46.441784 31304 net.cpp:257] Network initialization done. I0718 09:46:46.446090 31304 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" } I0718 09:46:46.446401 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.446439 31304 net.cpp:86] Creating Layer data I0718 09:46:46.446460 31304 net.cpp:382] data -> data I0718 09:46:46.446496 31304 net.cpp:382] data -> label I0718 09:46:46.446540 31304 net.cpp:124] Setting up data I0718 09:46:46.446554 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.446571 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.446583 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.446594 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.446622 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.446638 31304 net.cpp:408] conv <- data I0718 09:46:46.446660 31304 net.cpp:382] conv -> conv I0718 09:46:46.446748 31304 net.cpp:124] Setting up conv I0718 09:46:46.446770 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.446784 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.446807 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.446826 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.446837 31304 net.cpp:408] ip <- conv I0718 09:46:46.446854 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.447134 31304 net.cpp:124] Setting up ip I0718 09:46:46.447155 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.447167 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.447186 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.447443 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.447453 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.447465 31304 net.cpp:408] loss <- label I0718 09:46:46.447480 31304 net.cpp:382] loss -> loss I0718 09:46:46.447504 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.447538 31304 net.cpp:124] Setting up loss I0718 09:46:46.447549 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.447562 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.447582 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.447592 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.447602 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.447611 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.447621 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.447631 31304 net.cpp:244] This network produces output loss I0718 09:46:46.447647 31304 net.cpp:257] Network initialization done. I0718 09:46:46.448624 31304 hdf5.cpp:33] Datatype class: H5T_FLOAT .I0718 09:46:46.453187 31304 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" } I0718 09:46:46.453497 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.453529 31304 net.cpp:86] Creating Layer data I0718 09:46:46.453548 31304 net.cpp:382] data -> data I0718 09:46:46.453579 31304 net.cpp:382] data -> label I0718 09:46:46.453621 31304 net.cpp:124] Setting up data I0718 09:46:46.453636 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.453653 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.453665 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.453676 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.453704 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.453720 31304 net.cpp:408] conv <- data I0718 09:46:46.453742 31304 net.cpp:382] conv -> conv I0718 09:46:46.453820 31304 net.cpp:124] Setting up conv I0718 09:46:46.453841 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.453855 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.453878 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.453899 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.453910 31304 net.cpp:408] ip <- conv I0718 09:46:46.453927 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.454208 31304 net.cpp:124] Setting up ip I0718 09:46:46.454231 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.454244 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.454265 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.454283 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.454294 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.454306 31304 net.cpp:408] loss <- label I0718 09:46:46.454321 31304 net.cpp:382] loss -> loss I0718 09:46:46.454345 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.454383 31304 net.cpp:124] Setting up loss I0718 09:46:46.454394 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.454406 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.454427 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.454435 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.454447 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.454455 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.454465 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.454475 31304 net.cpp:244] This network produces output loss I0718 09:46:46.454492 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.457093 31304 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I0718 09:46:46.457129 31304 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I0718 09:46:46.457139 31304 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 } } I0718 09:46:46.457340 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.457366 31304 net.cpp:86] Creating Layer data I0718 09:46:46.457381 31304 net.cpp:382] data -> data I0718 09:46:46.457425 31304 net.cpp:124] Setting up data I0718 09:46:46.457438 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.457450 31304 net.cpp:139] Memory required for data: 400 I0718 09:46:46.457459 31304 layer_factory.hpp:77] Creating layer data_data_0_split I0718 09:46:46.457474 31304 net.cpp:86] Creating Layer data_data_0_split I0718 09:46:46.457484 31304 net.cpp:408] data_data_0_split <- data I0718 09:46:46.457500 31304 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0718 09:46:46.457520 31304 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0718 09:46:46.457541 31304 net.cpp:124] Setting up data_data_0_split I0718 09:46:46.457551 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.457563 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.457573 31304 net.cpp:139] Memory required for data: 1200 I0718 09:46:46.457581 31304 layer_factory.hpp:77] Creating layer A I0718 09:46:46.457599 31304 net.cpp:86] Creating Layer A I0718 09:46:46.457612 31304 net.cpp:408] A <- data_data_0_split_0 I0718 09:46:46.457628 31304 net.cpp:382] A -> A I0718 09:46:46.457664 31304 net.cpp:124] Setting up A I0718 09:46:46.457674 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.457686 31304 net.cpp:139] Memory required for data: 1204 I0718 09:46:46.457708 31304 layer_factory.hpp:77] Creating layer AorB I0718 09:46:46.457726 31304 net.cpp:86] Creating Layer AorB I0718 09:46:46.457734 31304 net.cpp:408] AorB <- data_data_0_split_1 I0718 09:46:46.457752 31304 net.cpp:382] AorB -> AorB I0718 09:46:46.457782 31304 net.cpp:124] Setting up AorB I0718 09:46:46.457794 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.457806 31304 net.cpp:139] Memory required for data: 1208 I0718 09:46:46.457823 31304 net.cpp:202] AorB does not need backward computation. I0718 09:46:46.457835 31304 net.cpp:202] A does not need backward computation. I0718 09:46:46.457845 31304 net.cpp:202] data_data_0_split does not need backward computation. I0718 09:46:46.457855 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.457863 31304 net.cpp:244] This network produces output A I0718 09:46:46.457871 31304 net.cpp:244] This network produces output AorB I0718 09:46:46.457888 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.459417 31304 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 } } I0718 09:46:46.459679 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.459709 31304 net.cpp:86] Creating Layer data I0718 09:46:46.459725 31304 net.cpp:382] data -> data I0718 09:46:46.459765 31304 net.cpp:124] Setting up data I0718 09:46:46.459779 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.459791 31304 net.cpp:139] Memory required for data: 400 I0718 09:46:46.459802 31304 layer_factory.hpp:77] Creating layer data_data_0_split I0718 09:46:46.459820 31304 net.cpp:86] Creating Layer data_data_0_split I0718 09:46:46.459832 31304 net.cpp:408] data_data_0_split <- data I0718 09:46:46.459849 31304 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0718 09:46:46.459870 31304 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0718 09:46:46.459890 31304 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0718 09:46:46.459908 31304 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0718 09:46:46.459931 31304 net.cpp:124] Setting up data_data_0_split I0718 09:46:46.459944 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.459959 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.459972 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.459986 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.460000 31304 net.cpp:139] Memory required for data: 2000 I0718 09:46:46.460011 31304 layer_factory.hpp:77] Creating layer A I0718 09:46:46.460033 31304 net.cpp:86] Creating Layer A I0718 09:46:46.460047 31304 net.cpp:408] A <- data_data_0_split_0 I0718 09:46:46.460067 31304 net.cpp:382] A -> A I0718 09:46:46.460111 31304 net.cpp:124] Setting up A I0718 09:46:46.460127 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.460142 31304 net.cpp:139] Memory required for data: 2004 I0718 09:46:46.460167 31304 layer_factory.hpp:77] Creating layer B I0718 09:46:46.460187 31304 net.cpp:86] Creating Layer B I0718 09:46:46.460201 31304 net.cpp:408] B <- data_data_0_split_1 I0718 09:46:46.460219 31304 net.cpp:382] B -> B I0718 09:46:46.460255 31304 net.cpp:124] Setting up B I0718 09:46:46.460268 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.460278 31304 net.cpp:139] Memory required for data: 2008 I0718 09:46:46.460294 31304 layer_factory.hpp:77] Creating layer AorB I0718 09:46:46.460314 31304 net.cpp:86] Creating Layer AorB I0718 09:46:46.460323 31304 net.cpp:408] AorB <- data_data_0_split_2 I0718 09:46:46.460340 31304 net.cpp:382] AorB -> AorB I0718 09:46:46.460369 31304 net.cpp:124] Setting up AorB I0718 09:46:46.460381 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.460391 31304 net.cpp:139] Memory required for data: 2012 I0718 09:46:46.460408 31304 layer_factory.hpp:77] Creating layer AandB I0718 09:46:46.460426 31304 net.cpp:86] Creating Layer AandB I0718 09:46:46.460436 31304 net.cpp:408] AandB <- data_data_0_split_3 I0718 09:46:46.460453 31304 net.cpp:382] AandB -> AandB I0718 09:46:46.460480 31304 net.cpp:124] Setting up AandB I0718 09:46:46.460491 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.460501 31304 net.cpp:139] Memory required for data: 2016 I0718 09:46:46.460515 31304 net.cpp:202] AandB does not need backward computation. I0718 09:46:46.460527 31304 net.cpp:202] AorB does not need backward computation. I0718 09:46:46.460536 31304 net.cpp:202] B does not need backward computation. I0718 09:46:46.460546 31304 net.cpp:202] A does not need backward computation. I0718 09:46:46.460554 31304 net.cpp:202] data_data_0_split does not need backward computation. I0718 09:46:46.460563 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.460572 31304 net.cpp:244] This network produces output A I0718 09:46:46.460580 31304 net.cpp:244] This network produces output AandB I0718 09:46:46.460590 31304 net.cpp:244] This network produces output AorB I0718 09:46:46.460598 31304 net.cpp:244] This network produces output B I0718 09:46:46.460618 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.462118 31304 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I0718 09:46:46.462148 31304 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I0718 09:46:46.462160 31304 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I0718 09:46:46.462170 31304 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 } } I0718 09:46:46.462349 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.462375 31304 net.cpp:86] Creating Layer data I0718 09:46:46.462391 31304 net.cpp:382] data -> data I0718 09:46:46.462431 31304 net.cpp:124] Setting up data I0718 09:46:46.462445 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.462457 31304 net.cpp:139] Memory required for data: 400 I0718 09:46:46.462467 31304 layer_factory.hpp:77] Creating layer data_data_0_split I0718 09:46:46.462483 31304 net.cpp:86] Creating Layer data_data_0_split I0718 09:46:46.462494 31304 net.cpp:408] data_data_0_split <- data I0718 09:46:46.462512 31304 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0718 09:46:46.462529 31304 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0718 09:46:46.462550 31304 net.cpp:124] Setting up data_data_0_split I0718 09:46:46.462560 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.462574 31304 net.cpp:131] Top shape: 1 1 10 10 (100) I0718 09:46:46.462584 31304 net.cpp:139] Memory required for data: 1200 I0718 09:46:46.462592 31304 layer_factory.hpp:77] Creating layer B I0718 09:46:46.462610 31304 net.cpp:86] Creating Layer B I0718 09:46:46.462621 31304 net.cpp:408] B <- data_data_0_split_0 I0718 09:46:46.462638 31304 net.cpp:382] B -> B I0718 09:46:46.462672 31304 net.cpp:124] Setting up B I0718 09:46:46.462685 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.462697 31304 net.cpp:139] Memory required for data: 1204 I0718 09:46:46.462719 31304 layer_factory.hpp:77] Creating layer AorB I0718 09:46:46.462738 31304 net.cpp:86] Creating Layer AorB I0718 09:46:46.462749 31304 net.cpp:408] AorB <- data_data_0_split_1 I0718 09:46:46.462766 31304 net.cpp:382] AorB -> AorB I0718 09:46:46.462800 31304 net.cpp:124] Setting up AorB I0718 09:46:46.462813 31304 net.cpp:131] Top shape: 1 1 (1) I0718 09:46:46.462826 31304 net.cpp:139] Memory required for data: 1208 I0718 09:46:46.462842 31304 net.cpp:202] AorB does not need backward computation. I0718 09:46:46.462853 31304 net.cpp:202] B does not need backward computation. I0718 09:46:46.462863 31304 net.cpp:202] data_data_0_split does not need backward computation. I0718 09:46:46.462872 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.462880 31304 net.cpp:244] This network produces output AorB I0718 09:46:46.462891 31304 net.cpp:244] This network produces output B I0718 09:46:46.462908 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.467320 31304 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" } I0718 09:46:46.467651 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.467681 31304 net.cpp:86] Creating Layer data I0718 09:46:46.467698 31304 net.cpp:382] data -> data I0718 09:46:46.467732 31304 net.cpp:382] data -> label I0718 09:46:46.467819 31304 net.cpp:124] Setting up data I0718 09:46:46.467834 31304 net.cpp:131] Top shape: 50 1 28 28 (39200) I0718 09:46:46.467855 31304 net.cpp:131] Top shape: 50 1 1 1 (50) I0718 09:46:46.467867 31304 net.cpp:139] Memory required for data: 157000 I0718 09:46:46.467880 31304 layer_factory.hpp:77] Creating layer conv1 I0718 09:46:46.467905 31304 net.cpp:86] Creating Layer conv1 I0718 09:46:46.467919 31304 net.cpp:408] conv1 <- data I0718 09:46:46.467939 31304 net.cpp:382] conv1 -> conv1 I0718 09:46:46.468021 31304 net.cpp:124] Setting up conv1 I0718 09:46:46.468036 31304 net.cpp:131] Top shape: 50 20 24 24 (576000) I0718 09:46:46.468051 31304 net.cpp:139] Memory required for data: 2461000 I0718 09:46:46.468075 31304 layer_factory.hpp:77] Creating layer pool1 I0718 09:46:46.468093 31304 net.cpp:86] Creating Layer pool1 I0718 09:46:46.468104 31304 net.cpp:408] pool1 <- conv1 I0718 09:46:46.468119 31304 net.cpp:382] pool1 -> pool1 I0718 09:46:46.468166 31304 net.cpp:124] Setting up pool1 I0718 09:46:46.468179 31304 net.cpp:131] Top shape: 50 20 12 12 (144000) I0718 09:46:46.468194 31304 net.cpp:139] Memory required for data: 3037000 I0718 09:46:46.468204 31304 layer_factory.hpp:77] Creating layer conv2 I0718 09:46:46.468225 31304 net.cpp:86] Creating Layer conv2 I0718 09:46:46.468236 31304 net.cpp:408] conv2 <- pool1 I0718 09:46:46.468253 31304 net.cpp:382] conv2 -> conv2 I0718 09:46:46.468695 31304 net.cpp:124] Setting up conv2 I0718 09:46:46.468721 31304 net.cpp:131] Top shape: 50 50 8 8 (160000) I0718 09:46:46.468736 31304 net.cpp:139] Memory required for data: 3677000 I0718 09:46:46.468755 31304 layer_factory.hpp:77] Creating layer pool2 I0718 09:46:46.468771 31304 net.cpp:86] Creating Layer pool2 I0718 09:46:46.468781 31304 net.cpp:408] pool2 <- conv2 I0718 09:46:46.468796 31304 net.cpp:382] pool2 -> pool2 I0718 09:46:46.468823 31304 net.cpp:124] Setting up pool2 I0718 09:46:46.468834 31304 net.cpp:131] Top shape: 50 50 4 4 (40000) I0718 09:46:46.468847 31304 net.cpp:139] Memory required for data: 3837000 I0718 09:46:46.468855 31304 layer_factory.hpp:77] Creating layer ip1 I0718 09:46:46.468871 31304 net.cpp:86] Creating Layer ip1 I0718 09:46:46.468880 31304 net.cpp:408] ip1 <- pool2 I0718 09:46:46.468895 31304 net.cpp:382] ip1 -> ip1 I0718 09:46:46.474901 31304 net.cpp:124] Setting up ip1 I0718 09:46:46.474958 31304 net.cpp:131] Top shape: 50 500 (25000) I0718 09:46:46.474977 31304 net.cpp:139] Memory required for data: 3937000 I0718 09:46:46.475008 31304 layer_factory.hpp:77] Creating layer relu1 I0718 09:46:46.475033 31304 net.cpp:86] Creating Layer relu1 I0718 09:46:46.475047 31304 net.cpp:408] relu1 <- ip1 I0718 09:46:46.475067 31304 net.cpp:369] relu1 -> ip1 (in-place) I0718 09:46:46.475093 31304 net.cpp:124] Setting up relu1 I0718 09:46:46.475103 31304 net.cpp:131] Top shape: 50 500 (25000) I0718 09:46:46.475114 31304 net.cpp:139] Memory required for data: 4037000 I0718 09:46:46.475122 31304 layer_factory.hpp:77] Creating layer ip2 I0718 09:46:46.475138 31304 net.cpp:86] Creating Layer ip2 I0718 09:46:46.475148 31304 net.cpp:408] ip2 <- ip1 I0718 09:46:46.475163 31304 net.cpp:382] ip2 -> ip2 I0718 09:46:46.475384 31304 net.cpp:124] Setting up ip2 I0718 09:46:46.475410 31304 net.cpp:131] Top shape: 50 10 (500) I0718 09:46:46.475423 31304 net.cpp:139] Memory required for data: 4039000 I0718 09:46:46.475438 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.475458 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.475468 31304 net.cpp:408] loss <- ip2 I0718 09:46:46.475479 31304 net.cpp:408] loss <- label I0718 09:46:46.475493 31304 net.cpp:382] loss -> loss I0718 09:46:46.475518 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.475556 31304 net.cpp:124] Setting up loss I0718 09:46:46.475569 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.475579 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.475611 31304 net.cpp:139] Memory required for data: 4039004 I0718 09:46:46.475620 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.475631 31304 net.cpp:200] ip2 needs backward computation. I0718 09:46:46.475641 31304 net.cpp:200] relu1 needs backward computation. I0718 09:46:46.475651 31304 net.cpp:200] ip1 needs backward computation. I0718 09:46:46.475659 31304 net.cpp:200] pool2 needs backward computation. I0718 09:46:46.475668 31304 net.cpp:200] conv2 needs backward computation. I0718 09:46:46.475677 31304 net.cpp:200] pool1 needs backward computation. I0718 09:46:46.475687 31304 net.cpp:200] conv1 needs backward computation. I0718 09:46:46.475697 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.475706 31304 net.cpp:244] This network produces output loss I0718 09:46:46.475728 31304 net.cpp:257] Network initialization done. I0718 09:46:46.479425 31304 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" } I0718 09:46:46.479764 31304 layer_factory.hpp:77] Creating layer DummyData1 I0718 09:46:46.479800 31304 net.cpp:86] Creating Layer DummyData1 I0718 09:46:46.479815 31304 net.cpp:382] DummyData1 -> DummyData1 I0718 09:46:46.479844 31304 net.cpp:382] DummyData1 -> DummyData2 I0718 09:46:46.479959 31304 net.cpp:124] Setting up DummyData1 I0718 09:46:46.479971 31304 net.cpp:131] Top shape: 50 1 28 28 (39200) I0718 09:46:46.479992 31304 net.cpp:131] Top shape: 50 1 1 1 (50) I0718 09:46:46.480003 31304 net.cpp:139] Memory required for data: 157000 I0718 09:46:46.480013 31304 layer_factory.hpp:77] Creating layer Convolution1 I0718 09:46:46.480034 31304 net.cpp:86] Creating Layer Convolution1 I0718 09:46:46.480046 31304 net.cpp:408] Convolution1 <- DummyData1 I0718 09:46:46.480064 31304 net.cpp:382] Convolution1 -> Convolution1 I0718 09:46:46.480144 31304 net.cpp:124] Setting up Convolution1 I0718 09:46:46.480157 31304 net.cpp:131] Top shape: 50 20 24 24 (576000) I0718 09:46:46.480173 31304 net.cpp:139] Memory required for data: 2461000 I0718 09:46:46.480195 31304 layer_factory.hpp:77] Creating layer Pooling1 I0718 09:46:46.480214 31304 net.cpp:86] Creating Layer Pooling1 I0718 09:46:46.480224 31304 net.cpp:408] Pooling1 <- Convolution1 I0718 09:46:46.480238 31304 net.cpp:382] Pooling1 -> Pooling1 I0718 09:46:46.480265 31304 net.cpp:124] Setting up Pooling1 I0718 09:46:46.480276 31304 net.cpp:131] Top shape: 50 20 12 12 (144000) I0718 09:46:46.480289 31304 net.cpp:139] Memory required for data: 3037000 I0718 09:46:46.480298 31304 layer_factory.hpp:77] Creating layer Convolution2 I0718 09:46:46.480316 31304 net.cpp:86] Creating Layer Convolution2 I0718 09:46:46.480327 31304 net.cpp:408] Convolution2 <- Pooling1 I0718 09:46:46.480342 31304 net.cpp:382] Convolution2 -> Convolution2 I0718 09:46:46.480782 31304 net.cpp:124] Setting up Convolution2 I0718 09:46:46.480805 31304 net.cpp:131] Top shape: 50 50 8 8 (160000) I0718 09:46:46.480820 31304 net.cpp:139] Memory required for data: 3677000 I0718 09:46:46.480839 31304 layer_factory.hpp:77] Creating layer Pooling2 I0718 09:46:46.480865 31304 net.cpp:86] Creating Layer Pooling2 I0718 09:46:46.480875 31304 net.cpp:408] Pooling2 <- Convolution2 I0718 09:46:46.480890 31304 net.cpp:382] Pooling2 -> Pooling2 I0718 09:46:46.480914 31304 net.cpp:124] Setting up Pooling2 I0718 09:46:46.480926 31304 net.cpp:131] Top shape: 50 50 4 4 (40000) I0718 09:46:46.480940 31304 net.cpp:139] Memory required for data: 3837000 I0718 09:46:46.480949 31304 layer_factory.hpp:77] Creating layer InnerProduct1 I0718 09:46:46.480965 31304 net.cpp:86] Creating Layer InnerProduct1 I0718 09:46:46.480974 31304 net.cpp:408] InnerProduct1 <- Pooling2 I0718 09:46:46.480989 31304 net.cpp:382] InnerProduct1 -> InnerProduct1 I0718 09:46:46.487133 31304 net.cpp:124] Setting up InnerProduct1 I0718 09:46:46.487277 31304 net.cpp:131] Top shape: 50 500 (25000) I0718 09:46:46.487306 31304 net.cpp:139] Memory required for data: 3937000 I0718 09:46:46.487337 31304 layer_factory.hpp:77] Creating layer ReLU1 I0718 09:46:46.487366 31304 net.cpp:86] Creating Layer ReLU1 I0718 09:46:46.487380 31304 net.cpp:408] ReLU1 <- InnerProduct1 I0718 09:46:46.487399 31304 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I0718 09:46:46.487426 31304 net.cpp:124] Setting up ReLU1 I0718 09:46:46.487437 31304 net.cpp:131] Top shape: 50 500 (25000) I0718 09:46:46.487448 31304 net.cpp:139] Memory required for data: 4037000 I0718 09:46:46.487458 31304 layer_factory.hpp:77] Creating layer InnerProduct2 I0718 09:46:46.487474 31304 net.cpp:86] Creating Layer InnerProduct2 I0718 09:46:46.487483 31304 net.cpp:408] InnerProduct2 <- InnerProduct1 I0718 09:46:46.487499 31304 net.cpp:382] InnerProduct2 -> InnerProduct2 I0718 09:46:46.487627 31304 net.cpp:124] Setting up InnerProduct2 I0718 09:46:46.487643 31304 net.cpp:131] Top shape: 50 10 (500) I0718 09:46:46.487655 31304 net.cpp:139] Memory required for data: 4039000 I0718 09:46:46.487670 31304 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0718 09:46:46.487694 31304 net.cpp:86] Creating Layer SoftmaxWithLoss1 I0718 09:46:46.487704 31304 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I0718 09:46:46.487715 31304 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I0718 09:46:46.487731 31304 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I0718 09:46:46.487758 31304 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0718 09:46:46.487802 31304 net.cpp:124] Setting up SoftmaxWithLoss1 I0718 09:46:46.487813 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.487825 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.487857 31304 net.cpp:139] Memory required for data: 4039004 I0718 09:46:46.487867 31304 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I0718 09:46:46.487879 31304 net.cpp:200] InnerProduct2 needs backward computation. I0718 09:46:46.487887 31304 net.cpp:200] ReLU1 needs backward computation. I0718 09:46:46.487896 31304 net.cpp:200] InnerProduct1 needs backward computation. I0718 09:46:46.487906 31304 net.cpp:200] Pooling2 needs backward computation. I0718 09:46:46.487916 31304 net.cpp:200] Convolution2 needs backward computation. I0718 09:46:46.487926 31304 net.cpp:200] Pooling1 needs backward computation. I0718 09:46:46.487936 31304 net.cpp:200] Convolution1 needs backward computation. I0718 09:46:46.487946 31304 net.cpp:202] DummyData1 does not need backward computation. I0718 09:46:46.487955 31304 net.cpp:244] This network produces output SoftmaxWithLoss1 I0718 09:46:46.487977 31304 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): .I0718 09:46:46.492659 31304 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" } I0718 09:46:46.492820 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.492848 31304 net.cpp:86] Creating Layer data I0718 09:46:46.492864 31304 net.cpp:382] data -> data I0718 09:46:46.492894 31304 net.cpp:382] data -> data2 I0718 09:46:46.492938 31304 net.cpp:124] Setting up data I0718 09:46:46.492950 31304 net.cpp:131] Top shape: 3 (3) I0718 09:46:46.492964 31304 net.cpp:131] Top shape: 3 (3) I0718 09:46:46.492974 31304 net.cpp:139] Memory required for data: 24 I0718 09:46:46.492983 31304 layer_factory.hpp:77] Creating layer silence_data I0718 09:46:46.493016 31304 net.cpp:86] Creating Layer silence_data I0718 09:46:46.493029 31304 net.cpp:408] silence_data <- data I0718 09:46:46.493044 31304 net.cpp:124] Setting up silence_data I0718 09:46:46.493052 31304 net.cpp:139] Memory required for data: 24 I0718 09:46:46.493059 31304 layer_factory.hpp:77] Creating layer silence_data2 I0718 09:46:46.493072 31304 net.cpp:86] Creating Layer silence_data2 I0718 09:46:46.493081 31304 net.cpp:408] silence_data2 <- data2 I0718 09:46:46.493090 31304 net.cpp:124] Setting up silence_data2 I0718 09:46:46.493098 31304 net.cpp:139] Memory required for data: 24 I0718 09:46:46.493106 31304 net.cpp:202] silence_data2 does not need backward computation. I0718 09:46:46.493116 31304 net.cpp:202] silence_data does not need backward computation. I0718 09:46:46.493125 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.493139 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.494557 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpej39v5zn I0718 09:46:46.494601 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.494611 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.494657 31304 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" } } I0718 09:46:46.494827 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.494856 31304 net.cpp:86] Creating Layer input I0718 09:46:46.494872 31304 net.cpp:382] input -> data I0718 09:46:46.494902 31304 net.cpp:124] Setting up input I0718 09:46:46.494913 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.494927 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.494938 31304 layer_factory.hpp:77] Creating layer one I0718 09:46:46.495033 31304 net.cpp:86] Creating Layer one I0718 09:46:46.495052 31304 net.cpp:408] one <- data I0718 09:46:46.495070 31304 net.cpp:382] one -> one I0718 09:46:46.495324 31304 net.cpp:124] Setting up one I0718 09:46:46.495352 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.495365 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.495374 31304 layer_factory.hpp:77] Creating layer two I0718 09:46:46.495440 31304 net.cpp:86] Creating Layer two I0718 09:46:46.495455 31304 net.cpp:408] two <- one I0718 09:46:46.495471 31304 net.cpp:382] two -> two I0718 09:46:46.495543 31304 net.cpp:124] Setting up two I0718 09:46:46.495559 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.495573 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.495581 31304 layer_factory.hpp:77] Creating layer three I0718 09:46:46.495635 31304 net.cpp:86] Creating Layer three I0718 09:46:46.495651 31304 net.cpp:408] three <- two I0718 09:46:46.495666 31304 net.cpp:382] three -> three I0718 09:46:46.495730 31304 net.cpp:124] Setting up three I0718 09:46:46.495746 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.495759 31304 net.cpp:139] Memory required for data: 11520 I0718 09:46:46.495769 31304 net.cpp:202] three does not need backward computation. I0718 09:46:46.495777 31304 net.cpp:202] two does not need backward computation. I0718 09:46:46.495788 31304 net.cpp:202] one does not need backward computation. I0718 09:46:46.495798 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.495806 31304 net.cpp:244] This network produces output three I0718 09:46:46.495821 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.507660 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp92qal6zr I0718 09:46:46.507726 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.507736 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.507795 31304 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" } } I0718 09:46:46.507994 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.508025 31304 net.cpp:86] Creating Layer input I0718 09:46:46.508044 31304 net.cpp:382] input -> data I0718 09:46:46.508082 31304 net.cpp:124] Setting up input I0718 09:46:46.508095 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.508111 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.508121 31304 layer_factory.hpp:77] Creating layer one I0718 09:46:46.508219 31304 net.cpp:86] Creating Layer one I0718 09:46:46.508237 31304 net.cpp:408] one <- data I0718 09:46:46.508255 31304 net.cpp:382] one -> one I0718 09:46:46.508369 31304 net.cpp:124] Setting up one I0718 09:46:46.508388 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.508399 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.508407 31304 layer_factory.hpp:77] Creating layer two I0718 09:46:46.508463 31304 net.cpp:86] Creating Layer two I0718 09:46:46.508476 31304 net.cpp:408] two <- one I0718 09:46:46.508489 31304 net.cpp:382] two -> two I0718 09:46:46.508545 31304 net.cpp:124] Setting up two I0718 09:46:46.508559 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.508570 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.508579 31304 layer_factory.hpp:77] Creating layer three I0718 09:46:46.508615 31304 net.cpp:86] Creating Layer three I0718 09:46:46.508627 31304 net.cpp:408] three <- two I0718 09:46:46.508639 31304 net.cpp:382] three -> three I0718 09:46:46.508689 31304 net.cpp:124] Setting up three I0718 09:46:46.508702 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.508716 31304 net.cpp:139] Memory required for data: 11520 I0718 09:46:46.508726 31304 net.cpp:202] three does not need backward computation. I0718 09:46:46.508738 31304 net.cpp:202] two does not need backward computation. I0718 09:46:46.508749 31304 net.cpp:202] one does not need backward computation. I0718 09:46:46.508759 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.508769 31304 net.cpp:244] This network produces output three I0718 09:46:46.508785 31304 net.cpp:257] Network initialization done. I0718 09:46:46.509658 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpptxuzysb I0718 09:46:46.509696 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.509706 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.509742 31304 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" } } I0718 09:46:46.509873 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.509903 31304 net.cpp:86] Creating Layer input I0718 09:46:46.509922 31304 net.cpp:382] input -> data I0718 09:46:46.509954 31304 net.cpp:124] Setting up input I0718 09:46:46.509971 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.509987 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.509999 31304 layer_factory.hpp:77] Creating layer layer I0718 09:46:46.510089 31304 net.cpp:86] Creating Layer layer I0718 09:46:46.510109 31304 net.cpp:408] layer <- data I0718 09:46:46.510128 31304 net.cpp:382] layer -> top .I0718 09:46:46.511584 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpyo351_he I0718 09:46:46.511628 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.511638 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.511682 31304 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" } } I0718 09:46:46.511837 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.511862 31304 net.cpp:86] Creating Layer input I0718 09:46:46.511876 31304 net.cpp:382] input -> data I0718 09:46:46.511904 31304 net.cpp:124] Setting up input I0718 09:46:46.511915 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.511929 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.511937 31304 layer_factory.hpp:77] Creating layer one I0718 09:46:46.512010 31304 net.cpp:86] Creating Layer one I0718 09:46:46.512027 31304 net.cpp:408] one <- data I0718 09:46:46.512043 31304 net.cpp:382] one -> one I0718 09:46:46.512145 31304 net.cpp:124] Setting up one I0718 09:46:46.512162 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.512176 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.512184 31304 layer_factory.hpp:77] Creating layer two I0718 09:46:46.512238 31304 net.cpp:86] Creating Layer two I0718 09:46:46.512252 31304 net.cpp:408] two <- one I0718 09:46:46.512267 31304 net.cpp:382] two -> two I0718 09:46:46.512334 31304 net.cpp:124] Setting up two I0718 09:46:46.512351 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.512365 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.512373 31304 layer_factory.hpp:77] Creating layer three I0718 09:46:46.512426 31304 net.cpp:86] Creating Layer three I0718 09:46:46.512441 31304 net.cpp:408] three <- two I0718 09:46:46.512457 31304 net.cpp:382] three -> three I0718 09:46:46.512524 31304 net.cpp:124] Setting up three I0718 09:46:46.512540 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.512553 31304 net.cpp:139] Memory required for data: 11520 I0718 09:46:46.512563 31304 net.cpp:202] three does not need backward computation. I0718 09:46:46.512573 31304 net.cpp:202] two does not need backward computation. I0718 09:46:46.512583 31304 net.cpp:202] one does not need backward computation. I0718 09:46:46.512593 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.512601 31304 net.cpp:244] This network produces output three I0718 09:46:46.512616 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.524626 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp61t0zybz I0718 09:46:46.524675 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.524684 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.524745 31304 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" } } I0718 09:46:46.524960 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.524989 31304 net.cpp:86] Creating Layer input I0718 09:46:46.525007 31304 net.cpp:382] input -> data I0718 09:46:46.525045 31304 net.cpp:124] Setting up input I0718 09:46:46.525059 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.525075 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.525086 31304 layer_factory.hpp:77] Creating layer one I0718 09:46:46.525183 31304 net.cpp:86] Creating Layer one I0718 09:46:46.525202 31304 net.cpp:408] one <- data I0718 09:46:46.525221 31304 net.cpp:382] one -> one I0718 09:46:46.525337 31304 net.cpp:124] Setting up one I0718 09:46:46.525358 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.525372 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.525380 31304 layer_factory.hpp:77] Creating layer two I0718 09:46:46.525434 31304 net.cpp:86] Creating Layer two I0718 09:46:46.525449 31304 net.cpp:408] two <- one I0718 09:46:46.525463 31304 net.cpp:382] two -> two I0718 09:46:46.525533 31304 net.cpp:124] Setting up two I0718 09:46:46.525550 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.525564 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.525573 31304 layer_factory.hpp:77] Creating layer three I0718 09:46:46.525621 31304 net.cpp:86] Creating Layer three I0718 09:46:46.525635 31304 net.cpp:408] three <- two I0718 09:46:46.525651 31304 net.cpp:382] three -> three I0718 09:46:46.525720 31304 net.cpp:124] Setting up three I0718 09:46:46.525738 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.525753 31304 net.cpp:139] Memory required for data: 11520 I0718 09:46:46.525763 31304 net.cpp:202] three does not need backward computation. I0718 09:46:46.525772 31304 net.cpp:202] two does not need backward computation. I0718 09:46:46.525782 31304 net.cpp:202] one does not need backward computation. I0718 09:46:46.525792 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.525801 31304 net.cpp:244] This network produces output three I0718 09:46:46.525817 31304 net.cpp:257] Network initialization done. I0718 09:46:46.526605 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp8rfa_jj5 I0718 09:46:46.526638 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.526646 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.526679 31304 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" } } I0718 09:46:46.526803 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.526826 31304 net.cpp:86] Creating Layer input I0718 09:46:46.526841 31304 net.cpp:382] input -> data I0718 09:46:46.526867 31304 net.cpp:124] Setting up input I0718 09:46:46.526880 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.526892 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.526902 31304 layer_factory.hpp:77] Creating layer layer I0718 09:46:46.526968 31304 net.cpp:86] Creating Layer layer I0718 09:46:46.526986 31304 net.cpp:408] layer <- data I0718 09:46:46.527004 31304 net.cpp:382] layer -> top I0718 09:46:46.527160 31304 net.cpp:124] Setting up layer I0718 09:46:46.527181 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.527359 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.527388 31304 net.cpp:202] layer does not need backward computation. I0718 09:46:46.527400 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.527408 31304 net.cpp:244] This network produces output top I0718 09:46:46.527421 31304 net.cpp:257] Network initialization done. I0718 09:46:46.528980 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp8rfa_jj5 I0718 09:46:46.529012 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.529021 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.529052 31304 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" } } I0718 09:46:46.529175 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.529201 31304 net.cpp:86] Creating Layer input I0718 09:46:46.529215 31304 net.cpp:382] input -> data I0718 09:46:46.529243 31304 net.cpp:124] Setting up input I0718 09:46:46.529255 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.529268 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.529279 31304 layer_factory.hpp:77] Creating layer layer I0718 09:46:46.529352 31304 net.cpp:86] Creating Layer layer I0718 09:46:46.529371 31304 net.cpp:408] layer <- data I0718 09:46:46.529388 31304 net.cpp:382] layer -> top I0718 09:46:46.529510 31304 net.cpp:124] Setting up layer I0718 09:46:46.529528 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.529541 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.529562 31304 net.cpp:202] layer does not need backward computation. I0718 09:46:46.529572 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.529582 31304 net.cpp:244] This network produces output top I0718 09:46:46.529595 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.530804 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpq0ojaxnc I0718 09:46:46.530835 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.530844 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.530884 31304 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" } } I0718 09:46:46.531028 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.531054 31304 net.cpp:86] Creating Layer input I0718 09:46:46.531069 31304 net.cpp:382] input -> data I0718 09:46:46.531096 31304 net.cpp:124] Setting up input I0718 09:46:46.531108 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.531122 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.531132 31304 layer_factory.hpp:77] Creating layer one I0718 09:46:46.531316 31304 net.cpp:86] Creating Layer one I0718 09:46:46.531342 31304 net.cpp:408] one <- data I0718 09:46:46.531360 31304 net.cpp:382] one -> one I0718 09:46:46.531456 31304 net.cpp:124] Setting up one I0718 09:46:46.531474 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.531487 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.531497 31304 layer_factory.hpp:77] Creating layer two I0718 09:46:46.531553 31304 net.cpp:86] Creating Layer two I0718 09:46:46.531569 31304 net.cpp:408] two <- one I0718 09:46:46.531582 31304 net.cpp:382] two -> two I0718 09:46:46.531647 31304 net.cpp:124] Setting up two I0718 09:46:46.531662 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.531675 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.531683 31304 layer_factory.hpp:77] Creating layer three I0718 09:46:46.531728 31304 net.cpp:86] Creating Layer three I0718 09:46:46.531741 31304 net.cpp:408] three <- two I0718 09:46:46.531754 31304 net.cpp:382] three -> three I0718 09:46:46.531812 31304 net.cpp:124] Setting up three I0718 09:46:46.531827 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.531839 31304 net.cpp:139] Memory required for data: 11520 I0718 09:46:46.531848 31304 net.cpp:202] three does not need backward computation. I0718 09:46:46.531858 31304 net.cpp:202] two does not need backward computation. I0718 09:46:46.531867 31304 net.cpp:202] one does not need backward computation. I0718 09:46:46.531875 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.531884 31304 net.cpp:244] This network produces output three I0718 09:46:46.531898 31304 net.cpp:257] Network initialization done. I0718 09:46:46.532577 31304 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" } } I0718 09:46:46.532663 31304 layer_factory.hpp:77] Creating layer layer I0718 09:46:46.532732 31304 net.cpp:86] Creating Layer layer I0718 09:46:46.532750 31304 net.cpp:382] layer -> phase I0718 09:46:46.532809 31304 net.cpp:124] Setting up layer I0718 09:46:46.532824 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.532837 31304 net.cpp:139] Memory required for data: 4 I0718 09:46:46.532847 31304 net.cpp:202] layer does not need backward computation. I0718 09:46:46.532856 31304 net.cpp:244] This network produces output phase I0718 09:46:46.532868 31304 net.cpp:257] Network initialization done. I0718 09:46:46.533337 31304 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" } } I0718 09:46:46.533421 31304 layer_factory.hpp:77] Creating layer layer I0718 09:46:46.533484 31304 net.cpp:86] Creating Layer layer I0718 09:46:46.533501 31304 net.cpp:382] layer -> phase I0718 09:46:46.533555 31304 net.cpp:124] Setting up layer I0718 09:46:46.533567 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.533579 31304 net.cpp:139] Memory required for data: 4 I0718 09:46:46.533589 31304 net.cpp:202] layer does not need backward computation. I0718 09:46:46.533598 31304 net.cpp:244] This network produces output phase I0718 09:46:46.533610 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.534714 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp349jr2vi I0718 09:46:46.534749 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.534756 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.534798 31304 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" } } I0718 09:46:46.534938 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.534961 31304 net.cpp:86] Creating Layer input I0718 09:46:46.534976 31304 net.cpp:382] input -> data I0718 09:46:46.535001 31304 net.cpp:124] Setting up input I0718 09:46:46.535012 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.535024 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.535033 31304 layer_factory.hpp:77] Creating layer one I0718 09:46:46.535099 31304 net.cpp:86] Creating Layer one I0718 09:46:46.535115 31304 net.cpp:408] one <- data I0718 09:46:46.535130 31304 net.cpp:382] one -> one I0718 09:46:46.535593 31304 net.cpp:124] Setting up one I0718 09:46:46.535625 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.535638 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.535647 31304 layer_factory.hpp:77] Creating layer two I0718 09:46:46.535710 31304 net.cpp:86] Creating Layer two I0718 09:46:46.535723 31304 net.cpp:408] two <- one I0718 09:46:46.535738 31304 net.cpp:382] two -> two I0718 09:46:46.535809 31304 net.cpp:124] Setting up two I0718 09:46:46.535823 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.535835 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.535843 31304 layer_factory.hpp:77] Creating layer three I0718 09:46:46.535888 31304 net.cpp:86] Creating Layer three I0718 09:46:46.535902 31304 net.cpp:408] three <- two I0718 09:46:46.535917 31304 net.cpp:382] three -> three I0718 09:46:46.535980 31304 net.cpp:124] Setting up three I0718 09:46:46.535995 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.536006 31304 net.cpp:139] Memory required for data: 11520 I0718 09:46:46.536015 31304 net.cpp:202] three does not need backward computation. I0718 09:46:46.536024 31304 net.cpp:202] two does not need backward computation. I0718 09:46:46.536033 31304 net.cpp:202] one does not need backward computation. I0718 09:46:46.536042 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.536051 31304 net.cpp:244] This network produces output three I0718 09:46:46.536064 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.537804 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpud5ce3zd I0718 09:46:46.537839 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.537848 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.537886 31304 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" } } I0718 09:46:46.538022 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.538048 31304 net.cpp:86] Creating Layer input I0718 09:46:46.538060 31304 net.cpp:382] input -> data I0718 09:46:46.538087 31304 net.cpp:124] Setting up input I0718 09:46:46.538098 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.538112 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.538122 31304 layer_factory.hpp:77] Creating layer mul10 I0718 09:46:46.538192 31304 net.cpp:86] Creating Layer mul10 I0718 09:46:46.538208 31304 net.cpp:408] mul10 <- data I0718 09:46:46.538223 31304 net.cpp:382] mul10 -> mul10 I0718 09:46:46.538316 31304 net.cpp:124] Setting up mul10 I0718 09:46:46.538332 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.538345 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.538354 31304 layer_factory.hpp:77] Creating layer mul2 I0718 09:46:46.538404 31304 net.cpp:86] Creating Layer mul2 I0718 09:46:46.538419 31304 net.cpp:408] mul2 <- mul10 I0718 09:46:46.538434 31304 net.cpp:382] mul2 -> mul2 I0718 09:46:46.538502 31304 net.cpp:124] Setting up mul2 I0718 09:46:46.538520 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.538532 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.538543 31304 net.cpp:202] mul2 does not need backward computation. I0718 09:46:46.538553 31304 net.cpp:202] mul10 does not need backward computation. I0718 09:46:46.538563 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.538573 31304 net.cpp:244] This network produces output mul2 I0718 09:46:46.538587 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.550012 31304 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpyegeis7u I0718 09:46:46.550065 31304 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0718 09:46:46.550076 31304 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0718 09:46:46.550134 31304 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" } } I0718 09:46:46.550331 31304 layer_factory.hpp:77] Creating layer input I0718 09:46:46.550364 31304 net.cpp:86] Creating Layer input I0718 09:46:46.550380 31304 net.cpp:382] input -> data I0718 09:46:46.550417 31304 net.cpp:124] Setting up input I0718 09:46:46.550432 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.550449 31304 net.cpp:139] Memory required for data: 2880 I0718 09:46:46.550460 31304 layer_factory.hpp:77] Creating layer mul10 I0718 09:46:46.550559 31304 net.cpp:86] Creating Layer mul10 I0718 09:46:46.550580 31304 net.cpp:408] mul10 <- data I0718 09:46:46.550596 31304 net.cpp:382] mul10 -> mul10 I0718 09:46:46.550721 31304 net.cpp:124] Setting up mul10 I0718 09:46:46.550741 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.550755 31304 net.cpp:139] Memory required for data: 5760 I0718 09:46:46.550763 31304 layer_factory.hpp:77] Creating layer mul2 I0718 09:46:46.550818 31304 net.cpp:86] Creating Layer mul2 I0718 09:46:46.550833 31304 net.cpp:408] mul2 <- mul10 I0718 09:46:46.550849 31304 net.cpp:382] mul2 -> mul2 I0718 09:46:46.550925 31304 net.cpp:124] Setting up mul2 I0718 09:46:46.550942 31304 net.cpp:131] Top shape: 10 9 8 (720) I0718 09:46:46.550956 31304 net.cpp:139] Memory required for data: 8640 I0718 09:46:46.550964 31304 net.cpp:202] mul2 does not need backward computation. I0718 09:46:46.550976 31304 net.cpp:202] mul10 does not need backward computation. I0718 09:46:46.550987 31304 net.cpp:202] input does not need backward computation. I0718 09:46:46.550995 31304 net.cpp:244] This network produces output mul2 I0718 09:46:46.551009 31304 net.cpp:257] Network initialization done. .I0718 09:46:46.562685 31304 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/tmpbqcpkbu9" snapshot_after_train: false I0718 09:46:46.562845 31304 solver.cpp:102] Creating training net from net file: /tmp/tmpbqcpkbu9 I0718 09:46:46.563158 31304 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" } I0718 09:46:46.563725 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.563761 31304 net.cpp:86] Creating Layer data I0718 09:46:46.563781 31304 net.cpp:382] data -> data I0718 09:46:46.563814 31304 net.cpp:382] data -> label I0718 09:46:46.563854 31304 net.cpp:124] Setting up data I0718 09:46:46.563868 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.563885 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.563896 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.563906 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.563935 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.563947 31304 net.cpp:408] conv <- data I0718 09:46:46.563967 31304 net.cpp:382] conv -> conv I0718 09:46:46.564055 31304 net.cpp:124] Setting up conv I0718 09:46:46.564071 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.564085 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.564114 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.564136 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.564147 31304 net.cpp:408] ip <- conv I0718 09:46:46.564163 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.564440 31304 net.cpp:124] Setting up ip I0718 09:46:46.564462 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.564474 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.564493 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.564512 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.564522 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.564533 31304 net.cpp:408] loss <- label I0718 09:46:46.564546 31304 net.cpp:382] loss -> loss I0718 09:46:46.564571 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.564610 31304 net.cpp:124] Setting up loss I0718 09:46:46.564621 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.564635 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.564661 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.564672 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.564682 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.564692 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.564703 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.564713 31304 net.cpp:244] This network produces output loss I0718 09:46:46.564730 31304 net.cpp:257] Network initialization done. I0718 09:46:46.565022 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpbqcpkbu9 I0718 09:46:46.565078 31304 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" } I0718 09:46:46.565304 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.565330 31304 net.cpp:86] Creating Layer data I0718 09:46:46.565346 31304 net.cpp:382] data -> data I0718 09:46:46.565367 31304 net.cpp:382] data -> label I0718 09:46:46.565393 31304 net.cpp:124] Setting up data I0718 09:46:46.565404 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.565418 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.565429 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.565438 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.565460 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.565472 31304 net.cpp:408] conv <- data I0718 09:46:46.565488 31304 net.cpp:382] conv -> conv I0718 09:46:46.565547 31304 net.cpp:124] Setting up conv I0718 09:46:46.565562 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.565575 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.565595 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.565613 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.565623 31304 net.cpp:408] ip <- conv I0718 09:46:46.565639 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.565909 31304 net.cpp:124] Setting up ip I0718 09:46:46.565932 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.565943 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.565963 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.565979 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.565989 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.566000 31304 net.cpp:408] loss <- label I0718 09:46:46.566013 31304 net.cpp:382] loss -> loss I0718 09:46:46.566035 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.566071 31304 net.cpp:124] Setting up loss I0718 09:46:46.566084 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.566097 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.566115 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.566128 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.566138 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.566148 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.566157 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.566166 31304 net.cpp:244] This network produces output loss I0718 09:46:46.566182 31304 net.cpp:257] Network initialization done. I0718 09:46:46.566231 31304 solver.cpp:57] Solver scaffolding done. I0718 09:46:46.566440 31304 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/tmpbqcpkbu9" snapshot_after_train: false I0718 09:46:46.566531 31304 solver.cpp:102] Creating training net from net file: /tmp/tmpbqcpkbu9 I0718 09:46:46.566784 31304 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" } I0718 09:46:46.567004 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.567032 31304 net.cpp:86] Creating Layer data I0718 09:46:46.567050 31304 net.cpp:382] data -> data I0718 09:46:46.567073 31304 net.cpp:382] data -> label I0718 09:46:46.567102 31304 net.cpp:124] Setting up data I0718 09:46:46.567116 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.567131 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.567144 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.567153 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.567179 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.567698 31304 net.cpp:408] conv <- data I0718 09:46:46.567741 31304 net.cpp:382] conv -> conv I0718 09:46:46.567814 31304 net.cpp:124] Setting up conv I0718 09:46:46.567831 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.567844 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.567867 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.567888 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.567898 31304 net.cpp:408] ip <- conv I0718 09:46:46.567912 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.568181 31304 net.cpp:124] Setting up ip I0718 09:46:46.568198 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.568210 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.568229 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.568246 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.568256 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.568267 31304 net.cpp:408] loss <- label I0718 09:46:46.568281 31304 net.cpp:382] loss -> loss I0718 09:46:46.568303 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.568339 31304 net.cpp:124] Setting up loss I0718 09:46:46.568352 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.568364 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.568387 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.568397 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.568408 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.568419 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.568429 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.568439 31304 net.cpp:244] This network produces output loss I0718 09:46:46.568454 31304 net.cpp:257] Network initialization done. I0718 09:46:46.568749 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpbqcpkbu9 I0718 09:46:46.568806 31304 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" } I0718 09:46:46.569029 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.569056 31304 net.cpp:86] Creating Layer data I0718 09:46:46.569075 31304 net.cpp:382] data -> data I0718 09:46:46.569099 31304 net.cpp:382] data -> label I0718 09:46:46.569128 31304 net.cpp:124] Setting up data I0718 09:46:46.569139 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.569154 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.569165 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.569175 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.569197 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.569209 31304 net.cpp:408] conv <- data I0718 09:46:46.569226 31304 net.cpp:382] conv -> conv I0718 09:46:46.569286 31304 net.cpp:124] Setting up conv I0718 09:46:46.569301 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.569314 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.569334 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.569353 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.569365 31304 net.cpp:408] ip <- conv I0718 09:46:46.569380 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.569650 31304 net.cpp:124] Setting up ip I0718 09:46:46.569670 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.569684 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.569705 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.569732 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.569743 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.569756 31304 net.cpp:408] loss <- label I0718 09:46:46.569770 31304 net.cpp:382] loss -> loss I0718 09:46:46.569793 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.569826 31304 net.cpp:124] Setting up loss I0718 09:46:46.569839 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.569852 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.569872 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.569881 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.569892 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.569902 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.569913 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.569923 31304 net.cpp:244] This network produces output loss I0718 09:46:46.569938 31304 net.cpp:257] Network initialization done. I0718 09:46:46.569983 31304 solver.cpp:57] Solver scaffolding done. I0718 09:46:46.571908 31304 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I0718 09:46:46.573747 31304 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/tmp87124kdn" snapshot_after_train: false I0718 09:46:46.573866 31304 solver.cpp:102] Creating training net from net file: /tmp/tmp87124kdn I0718 09:46:46.574136 31304 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" } I0718 09:46:46.574354 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.574379 31304 net.cpp:86] Creating Layer data I0718 09:46:46.574396 31304 net.cpp:382] data -> data I0718 09:46:46.574422 31304 net.cpp:382] data -> label I0718 09:46:46.574455 31304 net.cpp:124] Setting up data I0718 09:46:46.574465 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.574481 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.574491 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.574501 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.574522 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.574532 31304 net.cpp:408] conv <- data I0718 09:46:46.574548 31304 net.cpp:382] conv -> conv I0718 09:46:46.574607 31304 net.cpp:124] Setting up conv I0718 09:46:46.574620 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.574630 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.574651 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.574667 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.574676 31304 net.cpp:408] ip <- conv I0718 09:46:46.574690 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.574965 31304 net.cpp:124] Setting up ip I0718 09:46:46.574987 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.574999 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.575019 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.575038 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.575049 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.575062 31304 net.cpp:408] loss <- label I0718 09:46:46.575079 31304 net.cpp:382] loss -> loss I0718 09:46:46.575107 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.575147 31304 net.cpp:124] Setting up loss I0718 09:46:46.575161 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.575174 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.575528 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.575546 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.575560 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.575570 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.575580 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.575592 31304 net.cpp:244] This network produces output loss I0718 09:46:46.575611 31304 net.cpp:257] Network initialization done. I0718 09:46:46.575927 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp87124kdn I0718 09:46:46.575985 31304 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" } I0718 09:46:46.576205 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.576231 31304 net.cpp:86] Creating Layer data I0718 09:46:46.576247 31304 net.cpp:382] data -> data I0718 09:46:46.576273 31304 net.cpp:382] data -> label I0718 09:46:46.576303 31304 net.cpp:124] Setting up data I0718 09:46:46.576313 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.576328 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.576339 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.576346 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.576367 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.576377 31304 net.cpp:408] conv <- data I0718 09:46:46.576395 31304 net.cpp:382] conv -> conv I0718 09:46:46.576452 31304 net.cpp:124] Setting up conv I0718 09:46:46.576464 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.576476 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.576498 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.576514 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.576524 31304 net.cpp:408] ip <- conv I0718 09:46:46.576535 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.576819 31304 net.cpp:124] Setting up ip I0718 09:46:46.576836 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.576848 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.576865 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.576880 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.576889 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.576900 31304 net.cpp:408] loss <- label I0718 09:46:46.576913 31304 net.cpp:382] loss -> loss I0718 09:46:46.576933 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.576965 31304 net.cpp:124] Setting up loss I0718 09:46:46.576975 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.576987 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.577005 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.577014 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.577024 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.577033 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.577041 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.577052 31304 net.cpp:244] This network produces output loss I0718 09:46:46.577066 31304 net.cpp:257] Network initialization done. I0718 09:46:46.577113 31304 solver.cpp:57] Solver scaffolding done. I0718 09:46:46.577324 31304 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/tmp87124kdn" snapshot_after_train: false I0718 09:46:46.577412 31304 solver.cpp:102] Creating training net from net file: /tmp/tmp87124kdn I0718 09:46:46.577644 31304 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" } I0718 09:46:46.577839 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.577863 31304 net.cpp:86] Creating Layer data I0718 09:46:46.577879 31304 net.cpp:382] data -> data I0718 09:46:46.577900 31304 net.cpp:382] data -> label I0718 09:46:46.577926 31304 net.cpp:124] Setting up data I0718 09:46:46.577936 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.577950 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.577960 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.577968 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.577989 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.577999 31304 net.cpp:408] conv <- data I0718 09:46:46.578014 31304 net.cpp:382] conv -> conv I0718 09:46:46.578068 31304 net.cpp:124] Setting up conv I0718 09:46:46.578080 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.578091 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.578109 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.578125 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.578133 31304 net.cpp:408] ip <- conv I0718 09:46:46.578148 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.578415 31304 net.cpp:124] Setting up ip I0718 09:46:46.578434 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.578446 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.578465 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.578481 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.578490 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.578500 31304 net.cpp:408] loss <- label I0718 09:46:46.578513 31304 net.cpp:382] loss -> loss I0718 09:46:46.578536 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.578567 31304 net.cpp:124] Setting up loss I0718 09:46:46.578577 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.578586 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.578605 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.578614 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.578624 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.578632 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.578641 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.578651 31304 net.cpp:244] This network produces output loss I0718 09:46:46.578665 31304 net.cpp:257] Network initialization done. I0718 09:46:46.578925 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp87124kdn I0718 09:46:46.578979 31304 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" } I0718 09:46:46.579185 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.579720 31304 net.cpp:86] Creating Layer data I0718 09:46:46.579738 31304 net.cpp:382] data -> data I0718 09:46:46.579766 31304 net.cpp:382] data -> label I0718 09:46:46.579797 31304 net.cpp:124] Setting up data I0718 09:46:46.579809 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.579825 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.579836 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.579846 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.579874 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.579885 31304 net.cpp:408] conv <- data I0718 09:46:46.579905 31304 net.cpp:382] conv -> conv I0718 09:46:46.579970 31304 net.cpp:124] Setting up conv I0718 09:46:46.579985 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.579999 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.580021 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.580041 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.580052 31304 net.cpp:408] ip <- conv I0718 09:46:46.580067 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.580338 31304 net.cpp:124] Setting up ip I0718 09:46:46.580360 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.580372 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.580394 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.580410 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.580420 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.580430 31304 net.cpp:408] loss <- label I0718 09:46:46.580444 31304 net.cpp:382] loss -> loss I0718 09:46:46.580464 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.580499 31304 net.cpp:124] Setting up loss I0718 09:46:46.580510 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.580521 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.580545 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.580555 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.580564 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.580574 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.580583 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.580591 31304 net.cpp:244] This network produces output loss I0718 09:46:46.580606 31304 net.cpp:257] Network initialization done. I0718 09:46:46.580657 31304 solver.cpp:57] Solver scaffolding done. .I0718 09:46:46.586395 31304 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/tmpua611aem" snapshot_after_train: false I0718 09:46:46.586546 31304 solver.cpp:102] Creating training net from net file: /tmp/tmpua611aem I0718 09:46:46.586864 31304 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" } I0718 09:46:46.587110 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.587138 31304 net.cpp:86] Creating Layer data I0718 09:46:46.587154 31304 net.cpp:382] data -> data I0718 09:46:46.587184 31304 net.cpp:382] data -> label I0718 09:46:46.587481 31304 net.cpp:124] Setting up data I0718 09:46:46.587497 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.587512 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.587522 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.587532 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.587558 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.587569 31304 net.cpp:408] conv <- data I0718 09:46:46.587587 31304 net.cpp:382] conv -> conv I0718 09:46:46.587658 31304 net.cpp:124] Setting up conv I0718 09:46:46.587672 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.587684 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.587708 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.587728 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.587736 31304 net.cpp:408] ip <- conv I0718 09:46:46.587751 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.588018 31304 net.cpp:124] Setting up ip I0718 09:46:46.588037 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.588048 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.588066 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.588083 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.588093 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.588104 31304 net.cpp:408] loss <- label I0718 09:46:46.588116 31304 net.cpp:382] loss -> loss I0718 09:46:46.588137 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.588172 31304 net.cpp:124] Setting up loss I0718 09:46:46.588184 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.588194 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.588214 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.588223 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.588232 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.588243 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.588251 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.588260 31304 net.cpp:244] This network produces output loss I0718 09:46:46.588275 31304 net.cpp:257] Network initialization done. I0718 09:46:46.588564 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpua611aem I0718 09:46:46.588618 31304 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" } I0718 09:46:46.588829 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.588853 31304 net.cpp:86] Creating Layer data I0718 09:46:46.588869 31304 net.cpp:382] data -> data I0718 09:46:46.588892 31304 net.cpp:382] data -> label I0718 09:46:46.588918 31304 net.cpp:124] Setting up data I0718 09:46:46.588928 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.588943 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.588953 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.588961 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.588981 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.588994 31304 net.cpp:408] conv <- data I0718 09:46:46.589011 31304 net.cpp:382] conv -> conv I0718 09:46:46.589064 31304 net.cpp:124] Setting up conv I0718 09:46:46.589076 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.589087 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.589105 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.589123 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.589133 31304 net.cpp:408] ip <- conv I0718 09:46:46.589146 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.589409 31304 net.cpp:124] Setting up ip I0718 09:46:46.589428 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.589440 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.589458 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.589473 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.589483 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.589493 31304 net.cpp:408] loss <- label I0718 09:46:46.589505 31304 net.cpp:382] loss -> loss I0718 09:46:46.589525 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.589553 31304 net.cpp:124] Setting up loss I0718 09:46:46.589562 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.589571 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.589588 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.589596 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.589605 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.589613 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.589622 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.589630 31304 net.cpp:244] This network produces output loss I0718 09:46:46.589644 31304 net.cpp:257] Network initialization done. I0718 09:46:46.589684 31304 solver.cpp:57] Solver scaffolding done. I0718 09:46:46.589872 31304 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/tmpua611aem" snapshot_after_train: false I0718 09:46:46.589954 31304 solver.cpp:102] Creating training net from net file: /tmp/tmpua611aem I0718 09:46:46.590176 31304 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" } I0718 09:46:46.590363 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.590386 31304 net.cpp:86] Creating Layer data I0718 09:46:46.590401 31304 net.cpp:382] data -> data I0718 09:46:46.590422 31304 net.cpp:382] data -> label I0718 09:46:46.590448 31304 net.cpp:124] Setting up data I0718 09:46:46.590457 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.590471 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.590481 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.590488 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.590507 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.590518 31304 net.cpp:408] conv <- data I0718 09:46:46.590533 31304 net.cpp:382] conv -> conv I0718 09:46:46.590584 31304 net.cpp:124] Setting up conv I0718 09:46:46.590595 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.590605 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.590622 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.590637 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.590646 31304 net.cpp:408] ip <- conv I0718 09:46:46.590659 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.590917 31304 net.cpp:124] Setting up ip I0718 09:46:46.590934 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.590945 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.590965 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.590979 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.590988 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.590999 31304 net.cpp:408] loss <- label I0718 09:46:46.591012 31304 net.cpp:382] loss -> loss I0718 09:46:46.591032 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.591060 31304 net.cpp:124] Setting up loss I0718 09:46:46.591070 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.591081 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.591099 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.591109 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.591117 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.591126 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.591136 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.591145 31304 net.cpp:244] This network produces output loss I0718 09:46:46.591159 31304 net.cpp:257] Network initialization done. I0718 09:46:46.591869 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpua611aem I0718 09:46:46.591936 31304 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" } I0718 09:46:46.592149 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.592171 31304 net.cpp:86] Creating Layer data I0718 09:46:46.592186 31304 net.cpp:382] data -> data I0718 09:46:46.592208 31304 net.cpp:382] data -> label I0718 09:46:46.592234 31304 net.cpp:124] Setting up data I0718 09:46:46.592245 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.592259 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.592269 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.592278 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.592300 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.592310 31304 net.cpp:408] conv <- data I0718 09:46:46.592325 31304 net.cpp:382] conv -> conv I0718 09:46:46.592379 31304 net.cpp:124] Setting up conv I0718 09:46:46.592392 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.592403 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.592424 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.592447 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.592458 31304 net.cpp:408] ip <- conv I0718 09:46:46.592474 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.592751 31304 net.cpp:124] Setting up ip I0718 09:46:46.592768 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.592782 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.592799 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.592816 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.592826 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.592837 31304 net.cpp:408] loss <- label I0718 09:46:46.592850 31304 net.cpp:382] loss -> loss I0718 09:46:46.592871 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.592905 31304 net.cpp:124] Setting up loss I0718 09:46:46.592917 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.592927 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.592945 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.592954 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.592964 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.592973 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.592983 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.592990 31304 net.cpp:244] This network produces output loss I0718 09:46:46.593006 31304 net.cpp:257] Network initialization done. I0718 09:46:46.593053 31304 solver.cpp:57] Solver scaffolding done. I0718 09:46:46.594444 31304 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I0718 09:46:46.594930 31304 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I0718 09:46:46.597172 31304 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/tmp33qhmbtj" snapshot_after_train: false I0718 09:46:46.597301 31304 solver.cpp:102] Creating training net from net file: /tmp/tmp33qhmbtj I0718 09:46:46.597579 31304 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" } I0718 09:46:46.597824 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.597854 31304 net.cpp:86] Creating Layer data I0718 09:46:46.597873 31304 net.cpp:382] data -> data I0718 09:46:46.597905 31304 net.cpp:382] data -> label I0718 09:46:46.597942 31304 net.cpp:124] Setting up data I0718 09:46:46.597959 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.597975 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.597985 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.597995 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.598021 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.598034 31304 net.cpp:408] conv <- data I0718 09:46:46.598054 31304 net.cpp:382] conv -> conv I0718 09:46:46.598129 31304 net.cpp:124] Setting up conv I0718 09:46:46.598145 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.598158 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.598181 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.598201 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.598210 31304 net.cpp:408] ip <- conv I0718 09:46:46.598227 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.598497 31304 net.cpp:124] Setting up ip I0718 09:46:46.598517 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.598529 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.598547 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.598563 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.598574 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.598587 31304 net.cpp:408] loss <- label I0718 09:46:46.598601 31304 net.cpp:382] loss -> loss I0718 09:46:46.598624 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.598664 31304 net.cpp:124] Setting up loss I0718 09:46:46.598676 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.598687 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.598706 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.598716 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.598727 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.598737 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.598745 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.598754 31304 net.cpp:244] This network produces output loss I0718 09:46:46.598770 31304 net.cpp:257] Network initialization done. I0718 09:46:46.599030 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp33qhmbtj I0718 09:46:46.599084 31304 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" } I0718 09:46:46.599651 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.599682 31304 net.cpp:86] Creating Layer data I0718 09:46:46.599700 31304 net.cpp:382] data -> data I0718 09:46:46.599725 31304 net.cpp:382] data -> label I0718 09:46:46.599754 31304 net.cpp:124] Setting up data I0718 09:46:46.599766 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.599781 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.599792 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.599802 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.599826 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.599838 31304 net.cpp:408] conv <- data I0718 09:46:46.599854 31304 net.cpp:382] conv -> conv I0718 09:46:46.599910 31304 net.cpp:124] Setting up conv I0718 09:46:46.599923 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.599936 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.599956 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.599973 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.599982 31304 net.cpp:408] ip <- conv I0718 09:46:46.599995 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.600257 31304 net.cpp:124] Setting up ip I0718 09:46:46.600277 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.600288 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.600307 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.600322 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.600332 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.600342 31304 net.cpp:408] loss <- label I0718 09:46:46.600355 31304 net.cpp:382] loss -> loss I0718 09:46:46.600375 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.600405 31304 net.cpp:124] Setting up loss I0718 09:46:46.600415 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.600427 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.600445 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.600454 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.600464 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.600473 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.600483 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.600492 31304 net.cpp:244] This network produces output loss I0718 09:46:46.600505 31304 net.cpp:257] Network initialization done. I0718 09:46:46.600549 31304 solver.cpp:57] Solver scaffolding done. I0718 09:46:46.600737 31304 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/tmp33qhmbtj" snapshot_after_train: false I0718 09:46:46.600826 31304 solver.cpp:102] Creating training net from net file: /tmp/tmp33qhmbtj I0718 09:46:46.601089 31304 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" } I0718 09:46:46.601311 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.601341 31304 net.cpp:86] Creating Layer data I0718 09:46:46.601357 31304 net.cpp:382] data -> data I0718 09:46:46.601382 31304 net.cpp:382] data -> label I0718 09:46:46.601413 31304 net.cpp:124] Setting up data I0718 09:46:46.601424 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.601438 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.601449 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.601457 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.601480 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.601490 31304 net.cpp:408] conv <- data I0718 09:46:46.601509 31304 net.cpp:382] conv -> conv I0718 09:46:46.601570 31304 net.cpp:124] Setting up conv I0718 09:46:46.601588 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.601601 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.601622 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.601644 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.601653 31304 net.cpp:408] ip <- conv I0718 09:46:46.601668 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.601938 31304 net.cpp:124] Setting up ip I0718 09:46:46.601959 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.601971 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.601991 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.602008 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.602018 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.602030 31304 net.cpp:408] loss <- label I0718 09:46:46.602044 31304 net.cpp:382] loss -> loss I0718 09:46:46.602066 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.602098 31304 net.cpp:124] Setting up loss I0718 09:46:46.602109 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.602120 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.602139 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.602149 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.602156 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.602164 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.602174 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.602181 31304 net.cpp:244] This network produces output loss I0718 09:46:46.602196 31304 net.cpp:257] Network initialization done. I0718 09:46:46.602469 31304 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp33qhmbtj I0718 09:46:46.602522 31304 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" } I0718 09:46:46.602741 31304 layer_factory.hpp:77] Creating layer data I0718 09:46:46.602766 31304 net.cpp:86] Creating Layer data I0718 09:46:46.602780 31304 net.cpp:382] data -> data I0718 09:46:46.602802 31304 net.cpp:382] data -> label I0718 09:46:46.602831 31304 net.cpp:124] Setting up data I0718 09:46:46.602843 31304 net.cpp:131] Top shape: 5 2 3 4 (120) I0718 09:46:46.602857 31304 net.cpp:131] Top shape: 5 1 1 1 (5) I0718 09:46:46.602867 31304 net.cpp:139] Memory required for data: 500 I0718 09:46:46.602876 31304 layer_factory.hpp:77] Creating layer conv I0718 09:46:46.602898 31304 net.cpp:86] Creating Layer conv I0718 09:46:46.602908 31304 net.cpp:408] conv <- data I0718 09:46:46.602924 31304 net.cpp:382] conv -> conv I0718 09:46:46.602978 31304 net.cpp:124] Setting up conv I0718 09:46:46.602990 31304 net.cpp:131] Top shape: 5 11 8 9 (3960) I0718 09:46:46.603001 31304 net.cpp:139] Memory required for data: 16340 I0718 09:46:46.603021 31304 layer_factory.hpp:77] Creating layer ip I0718 09:46:46.603039 31304 net.cpp:86] Creating Layer ip I0718 09:46:46.603050 31304 net.cpp:408] ip <- conv I0718 09:46:46.603065 31304 net.cpp:382] ip -> ip_blob I0718 09:46:46.603776 31304 net.cpp:124] Setting up ip I0718 09:46:46.603808 31304 net.cpp:131] Top shape: 5 13 (65) I0718 09:46:46.603822 31304 net.cpp:139] Memory required for data: 16600 I0718 09:46:46.603842 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.603857 31304 net.cpp:86] Creating Layer loss I0718 09:46:46.603868 31304 net.cpp:408] loss <- ip_blob I0718 09:46:46.603878 31304 net.cpp:408] loss <- label I0718 09:46:46.603891 31304 net.cpp:382] loss -> loss I0718 09:46:46.603912 31304 layer_factory.hpp:77] Creating layer loss I0718 09:46:46.603942 31304 net.cpp:124] Setting up loss I0718 09:46:46.603952 31304 net.cpp:131] Top shape: (1) I0718 09:46:46.603961 31304 net.cpp:134] with loss weight 1 I0718 09:46:46.603981 31304 net.cpp:139] Memory required for data: 16604 I0718 09:46:46.603991 31304 net.cpp:200] loss needs backward computation. I0718 09:46:46.603999 31304 net.cpp:200] ip needs backward computation. I0718 09:46:46.604007 31304 net.cpp:200] conv needs backward computation. I0718 09:46:46.604017 31304 net.cpp:202] data does not need backward computation. I0718 09:46:46.604025 31304 net.cpp:244] This network produces output loss I0718 09:46:46.604038 31304 net.cpp:257] Network initialization done. I0718 09:46:46.604087 31304 solver.cpp:57] Solver scaffolding done. I0718 09:46:46.605484 31304 solver.cpp:289] Solving testnet I0718 09:46:46.605512 31304 solver.cpp:290] Learning Rate Policy: inv I0718 09:46:46.605561 31304 solver.cpp:347] Iteration 0, Testing net (#0) I0718 09:46:46.608109 31304 solver.cpp:414] Test net output #0: loss = 65.0524 (* 1 = 65.0524 loss) I0718 09:46:46.608795 31304 solver.cpp:239] Iteration 0 (7.69473e-24 iter/s, 0.003s/100 iters), loss = 69.8692 I0718 09:46:46.608841 31304 solver.cpp:258] Train net output #0: loss = 69.8692 (* 1 = 69.8692 loss) I0718 09:46:46.608860 31304 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I0718 09:46:46.615406 31304 solver.cpp:347] Iteration 10, Testing net (#0) I0718 09:46:46.617673 31304 solver.cpp:414] Test net output #0: loss = 86.0826 (* 1 = 86.0826 loss) I0718 09:46:46.625038 31304 solver.cpp:347] Iteration 20, Testing net (#0) I0718 09:46:46.627669 31304 solver.cpp:414] Test net output #0: loss = 86.2211 (* 1 = 86.2211 loss) I0718 09:46:46.634914 31304 solver.cpp:347] Iteration 30, Testing net (#0) I0718 09:46:46.637472 31304 solver.cpp:414] Test net output #0: loss = 80.0753 (* 1 = 80.0753 loss) I0718 09:46:46.644766 31304 solver.cpp:347] Iteration 40, Testing net (#0) I0718 09:46:46.647025 31304 solver.cpp:414] Test net output #0: loss = 82.6375 (* 1 = 82.6375 loss) I0718 09:46:46.654328 31304 solver.cpp:347] Iteration 50, Testing net (#0) I0718 09:46:46.656716 31304 solver.cpp:414] Test net output #0: loss = 84.2571 (* 1 = 84.2571 loss) I0718 09:46:46.664024 31304 solver.cpp:347] Iteration 60, Testing net (#0) I0718 09:46:46.666293 31304 solver.cpp:414] Test net output #0: loss = 81.9866 (* 1 = 81.9866 loss) I0718 09:46:46.673652 31304 solver.cpp:347] Iteration 70, Testing net (#0) I0718 09:46:46.676280 31304 solver.cpp:414] Test net output #0: loss = 78.8137 (* 1 = 78.8137 loss) I0718 09:46:46.683569 31304 solver.cpp:347] Iteration 80, Testing net (#0) I0718 09:46:46.685855 31304 solver.cpp:414] Test net output #0: loss = 75.7248 (* 1 = 75.7248 loss) I0718 09:46:46.693228 31304 solver.cpp:347] Iteration 90, Testing net (#0) I0718 09:46:46.695641 31304 solver.cpp:414] Test net output #0: loss = 82.1313 (* 1 = 82.1313 loss) I0718 09:46:46.702950 31304 solver.cpp:327] Iteration 100, loss = 63.4808 I0718 09:46:46.703045 31304 solver.cpp:347] Iteration 100, Testing net (#0) I0718 09:46:46.705490 31304 solver.cpp:414] Test net output #0: loss = 81.616 (* 1 = 81.616 loss) I0718 09:46:46.705544 31304 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 30.256s OK make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pytest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' create-stamp debian/debhelper-build-stamp fakeroot debian/rules binary dh binary -Scmake --with python3,bash-completion dh_testroot -O-Scmake dh_prep -O-Scmake debian/rules override_dh_auto_install-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install cd caffe_cpu_build && make -j8 install DESTDIR=/build/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 preinstall make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[3]: Nothing to be done for 'preinstall'. make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Install the project... /usr/bin/cmake -P cmake_install.cmake -- Install configuration: "Release" -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeConfig.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/upgrade_proto.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/signal_handler.h -- Installing: 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Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/device_alternate.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_lmdb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_leveldb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/cudnn.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/blocking_queue.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/benchmark.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_gradient_check_util.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_caffe_main.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/syncedmem.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver_factory.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/sgd_solvers.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/parallel.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/net.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/window_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/tile_layer.hpp -- Installing: 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/build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_solver_proto_text -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_cifar_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/classification -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_siamese_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/classify.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/detect.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/draw_net.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/requirements.txt -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/train.py -- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__ -- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/pycaffe.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/classifier.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_install make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_install # The upstream unittest can be used to verify the BLAS correctness. # the two lines start with dash in order to avoid FTBFS on Arch=all. mv caffe_cpu_build/test/test.testbin caffe-gtest install -m0755 caffe-gtest debian/caffe/usr/bin/ dh_missing --list-missing make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installdocs -O-Scmake dh_installchangelogs -O-Scmake dh_installexamples -O-Scmake dh_installman -O-Scmake dh_bash-completion -O-Scmake debian/rules override_dh_python3 make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_python3 --requires=python/requirements.txt I: dh_python3 fs:343: renaming _caffe.so to _caffe.cpython-39-aarch64-linux-gnu.so dh_numpy3 make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installinit -O-Scmake dh_lintian -O-Scmake dh_perl -O-Scmake dh_link -O-Scmake dh_strip_nondeterminism -O-Scmake dh_compress -O-Scmake debian/rules override_dh_fixperms-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms -O-Scmake -Ncaffe -Nlibcaffe1 -Nlibcaffe-dev -Npython3-caffe dh_missing -O-Scmake dh_dwz -a -O-Scmake dh_strip -a -O-Scmake debian/rules override_dh_makeshlibs make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -a -O-Scmake dh_installdeb -O-Scmake dh_gencontrol -O-Scmake dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O-Scmake dh_builddeb -O-Scmake dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_arm64.deb'. dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_arm64.deb'. dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_arm64.deb'. dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_arm64.deb'. dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_arm64.deb'. dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_arm64.deb'. dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_arm64.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_arm64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: user script /srv/workspace/pbuilder/3330/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/3330/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/3330 and its subdirectories I: Current time: Sun Jul 18 09:49:19 +14 2021 I: pbuilder-time-stamp: 1626551359