I: pbuilder: network access will be disabled during build I: Current time: Thu Aug 8 07:42:26 +14 2024 I: pbuilder-time-stamp: 1723052546 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. 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.yFGQgIHp/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/1045749/tmp/hooks/D01_modify_environment starting debug: Running on ionos1-amd64. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash '/bin/sh' -> '/bin/bash' lrwxrwxrwx 1 root root 9 Aug 8 07:42 /bin/sh -> /bin/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/1045749/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/1045749/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]="x86_64-pc-linux-gnu") BASH_VERSION='5.1.4(1)-release' BUILDDIR=/build/reproducible-path BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=amd64 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=20 ' DIRSTACK=() DISTRIBUTION=bullseye EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=x86_64 HOST_ARCH=amd64 IFS=' ' INVOCATION_ID=8c607d8f3a32444c9b28eacb99585d50 LANG=C LANGUAGE=et_EE:et LC_ALL=C MACHTYPE=x86_64-pc-linux-gnu MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnu PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=1045749 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/r-b-build.nnFTtvgQ/pbuilderrc_2Ikb --distribution bullseye --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.nnFTtvgQ/b2 --logfile b2/build.log caffe_1.0.0+git20180821.99bd997-8.dsc' SUDO_GID=110 SUDO_UID=105 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root _='I: set' http_proxy=http://46.16.76.132:3128 I: uname -a Linux i-capture-the-hostname 6.1.0-23-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.99-1 (2024-07-15) x86_64 GNU/Linux I: ls -l /bin total 5476 -rwxr-xr-x 1 root root 1234376 Mar 28 2022 bash -rwxr-xr-x 3 root root 38984 Jul 21 2020 bunzip2 -rwxr-xr-x 3 root root 38984 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 38984 Jul 21 2020 bzip2 -rwxr-xr-x 1 root root 18424 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 43936 Sep 24 2020 cat -rwxr-xr-x 1 root root 72672 Sep 24 2020 chgrp -rwxr-xr-x 1 root root 64448 Sep 24 2020 chmod -rwxr-xr-x 1 root root 72672 Sep 24 2020 chown -rwxr-xr-x 1 root root 151168 Sep 24 2020 cp -rwxr-xr-x 1 root root 125560 Dec 11 2020 dash -rwxr-xr-x 1 root root 113664 Sep 24 2020 date -rwxr-xr-x 1 root root 80968 Sep 24 2020 dd -rwxr-xr-x 1 root root 93936 Sep 24 2020 df -rwxr-xr-x 1 root root 147176 Sep 24 2020 dir -rwxr-xr-x 1 root root 84440 Mar 29 00:09 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 39712 Sep 24 2020 echo -rwxr-xr-x 1 root root 28 Jan 25 2023 egrep -rwxr-xr-x 1 root root 39680 Sep 24 2020 false -rwxr-xr-x 1 root root 28 Jan 25 2023 fgrep -rwxr-xr-x 1 root root 69032 Mar 29 00:09 findmnt -rwsr-xr-x 1 root root 34896 Feb 27 2021 fusermount -rwxr-xr-x 1 root root 203072 Jan 25 2023 grep -rwxr-xr-x 2 root root 2346 Apr 10 2022 gunzip -rwxr-xr-x 1 root root 6447 Apr 10 2022 gzexe -rwxr-xr-x 1 root root 98048 Apr 10 2022 gzip -rwxr-xr-x 1 root root 22600 Nov 8 2019 hostname -rwxr-xr-x 1 root root 72840 Sep 24 2020 ln -rwxr-xr-x 1 root root 56952 Feb 8 2020 login -rwxr-xr-x 1 root root 147176 Sep 24 2020 ls -rwxr-xr-x 1 root root 149736 Mar 29 00:09 lsblk -rwxr-xr-x 1 root root 85184 Sep 24 2020 mkdir -rwxr-xr-x 1 root root 76896 Sep 24 2020 mknod -rwxr-xr-x 1 root root 48064 Sep 24 2020 mktemp -rwxr-xr-x 1 root root 59632 Mar 29 00:09 more -rwsr-xr-x 1 root root 55528 Mar 29 00:09 mount -rwxr-xr-x 1 root root 18664 Mar 29 00:09 mountpoint -rwxr-xr-x 1 root root 147080 Sep 24 2020 mv lrwxrwxrwx 1 root root 8 Nov 8 2019 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Dec 17 2021 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 43872 Sep 24 2020 pwd lrwxrwxrwx 1 root root 4 Mar 28 2022 rbash -> bash -rwxr-xr-x 1 root root 52032 Sep 24 2020 readlink -rwxr-xr-x 1 root root 72704 Sep 24 2020 rm -rwxr-xr-x 1 root root 52032 Sep 24 2020 rmdir -rwxr-xr-x 1 root root 27472 Sep 28 2020 run-parts -rwxr-xr-x 1 root root 122224 Dec 23 2018 sed lrwxrwxrwx 1 root root 9 Aug 8 07:42 sh -> /bin/bash -rwxr-xr-x 1 root root 43808 Sep 24 2020 sleep -rwxr-xr-x 1 root root 84928 Sep 24 2020 stty -rwsr-xr-x 1 root root 71912 Mar 29 00:09 su -rwxr-xr-x 1 root root 39744 Sep 24 2020 sync -rwxr-xr-x 1 root root 531928 Jan 20 2024 tar -rwxr-xr-x 1 root root 14456 Sep 28 2020 tempfile -rwxr-xr-x 1 root root 101408 Sep 24 2020 touch -rwxr-xr-x 1 root root 39680 Sep 24 2020 true -rwxr-xr-x 1 root root 14328 Feb 27 2021 ulockmgr_server -rwsr-xr-x 1 root root 35040 Mar 29 00:09 umount -rwxr-xr-x 1 root root 39744 Sep 24 2020 uname -rwxr-xr-x 2 root root 2346 Apr 10 2022 uncompress -rwxr-xr-x 1 root root 147176 Sep 24 2020 vdir -rwxr-xr-x 1 root root 63744 Mar 29 00:09 wdctl lrwxrwxrwx 1 root root 8 Nov 8 2019 ypdomainname -> hostname -rwxr-xr-x 1 root root 1984 Apr 10 2022 zcat -rwxr-xr-x 1 root root 1678 Apr 10 2022 zcmp -rwxr-xr-x 1 root root 5898 Apr 10 2022 zdiff -rwxr-xr-x 1 root root 29 Apr 10 2022 zegrep -rwxr-xr-x 1 root root 29 Apr 10 2022 zfgrep -rwxr-xr-x 1 root root 2081 Apr 10 2022 zforce -rwxr-xr-x 1 root root 8049 Apr 10 2022 zgrep -rwxr-xr-x 1 root root 2206 Apr 10 2022 zless -rwxr-xr-x 1 root root 1842 Apr 10 2022 zmore -rwxr-xr-x 1 root root 4577 Apr 10 2022 znew I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: bc, cmake, bash-completion, debhelper-compat (= 13), dh-python, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4), libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml, doxygen, doxygen-latex dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19711 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on bc; however: Package bc is not installed. pbuilder-satisfydepends-dummy depends on cmake; however: Package cmake is not installed. pbuilder-satisfydepends-dummy depends on bash-completion; however: Package bash-completion is not installed. pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on libboost-dev; however: Package libboost-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-filesystem-dev; however: Package libboost-filesystem-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-system-dev; however: Package libboost-system-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-thread-dev; however: Package libboost-thread-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-python-dev; however: Package libboost-python-dev is not installed. pbuilder-satisfydepends-dummy depends on libgflags-dev; however: Package libgflags-dev is not installed. pbuilder-satisfydepends-dummy depends on libgoogle-glog-dev; however: Package libgoogle-glog-dev is not installed. pbuilder-satisfydepends-dummy depends on libhdf5-dev; however: Package libhdf5-dev is not installed. pbuilder-satisfydepends-dummy depends on libleveldb-dev; however: Package libleveldb-dev is not installed. pbuilder-satisfydepends-dummy depends on liblmdb-dev; however: Package liblmdb-dev is not installed. pbuilder-satisfydepends-dummy depends on libblas-dev | libblas.so; however: Package libblas-dev is not installed. Package libblas.so is not installed. pbuilder-satisfydepends-dummy depends on libopencv-dev (>= 2.4); however: Package libopencv-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotobuf-dev; however: Package libprotobuf-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotoc-dev; however: Package libprotoc-dev is not installed. pbuilder-satisfydepends-dummy depends on libsnappy-dev; however: Package libsnappy-dev is not installed. pbuilder-satisfydepends-dummy depends on protobuf-compiler; however: Package protobuf-compiler is not installed. pbuilder-satisfydepends-dummy depends on python3-dev; however: Package python3-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on cython3; however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on ipython3; however: Package ipython3 is not installed. pbuilder-satisfydepends-dummy depends on python3; however: Package python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-distutils; however: Package python3-distutils is not installed. pbuilder-satisfydepends-dummy depends on python3-skimage; however: Package python3-skimage is not installed. pbuilder-satisfydepends-dummy depends on python3-protobuf; however: Package python3-protobuf is not installed. pbuilder-satisfydepends-dummy depends on python3-dateutil; however: Package python3-dateutil is not installed. pbuilder-satisfydepends-dummy depends on python3-gflags; however: Package python3-gflags is not installed. pbuilder-satisfydepends-dummy depends on python3-h5py; however: Package python3-h5py is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-networkx; however: Package python3-networkx is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-pandas; however: Package python3-pandas is not installed. pbuilder-satisfydepends-dummy depends on python3-pil; however: Package python3-pil is not installed. pbuilder-satisfydepends-dummy depends on python3-pydotplus; however: Package python3-pydotplus is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-yaml; however: Package python3-yaml is not installed. pbuilder-satisfydepends-dummy depends on doxygen; however: Package doxygen is not installed. pbuilder-satisfydepends-dummy depends on doxygen-latex; however: Package doxygen-latex is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: adwaita-icon-theme{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bash-completion{a} bc{a} bsdextrautils{a} cm-super-minimal{a} cmake{a} cmake-data{a} cython3{a} dbus{a} dbus-user-session{a} dconf-gsettings-backend{a} dconf-service{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dmsetup{a} doxygen{a} doxygen-latex{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-lyx{a} fonts-urw-base35{a} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} glib-networking{a} glib-networking-common{a} glib-networking-services{a} graphviz{a} groff-base{a} gsettings-desktop-schemas{a} gtk-update-icon-cache{a} hdf5-helpers{a} hicolor-icon-theme{a} intltool-debian{a} ipython3{a} iso-codes{a} libaec-dev{a} libaec0{a} libann0{a} libaom0{a} libapache-pom-java{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo10{a} libarpack2{a} libatk-bridge2.0-0{a} libatk1.0-0{a} libatk1.0-data{a} libatspi2.0-0{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavcodec-dev{a} libavcodec58{a} libavformat-dev{a} libavformat58{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.74-dev{a} libboost-atomic1.74.0{a} libboost-chrono1.74-dev{a} libboost-chrono1.74.0{a} libboost-date-time1.74-dev{a} libboost-date-time1.74.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.74-dev{a} libboost-filesystem1.74.0{a} libboost-python-dev{a} libboost-python1.74-dev{a} libboost-python1.74.0{a} libboost-serialization1.74-dev{a} libboost-serialization1.74.0{a} libboost-system-dev{a} libboost-system1.74-dev{a} libboost-system1.74.0{a} libboost-thread-dev{a} libboost-thread1.74-dev{a} libboost-thread1.74.0{a} libboost1.74-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcap2-bin{a} libcdt5{a} libcfitsio9{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang-cpp11{a} libclang1-11{a} libcodec2-0.9{a} libcolord2{a} libcommons-logging-java{a} libcommons-parent-java{a} libcryptsetup12{a} libcups2{a} libcurl3-gnutls{a} libcurl4{a} libdap27{a} libdapclient6v5{a} libdatrie1{a} libdav1d4{a} libdbus-1-3{a} libdc1394-25{a} libdc1394-dev{a} libdconf1{a} libde265-0{a} libdebhelper-perl{a} libdeflate-dev{a} libdeflate0{a} libdevmapper1.02.1{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libdw1{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontbox-java{a} libfontconfig1{a} libfontenc1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal28{a} libgdcm-dev{a} libgdcm3.0{a} libgdk-pixbuf-2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.9.0{a} libgeos-c1v5{a} libgeotiff5{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglew2.1{a} libglib2.0-0{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgme0{a} libgoogle-glog-dev{a} libgoogle-glog0v5{a} libgphoto2-6{a} libgphoto2-dev{a} libgphoto2-port12{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgsm1{a} libgstreamer-plugins-base1.0-0{a} libgstreamer1.0-0{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103-1{a} libhdf5-cpp-103-1{a} libhdf5-dev{a} libhdf5-fortran-102{a} libhdf5-hl-100{a} libhdf5-hl-cpp-100{a} libhdf5-hl-fortran-100{a} libheif1{a} libice6{a} libicu67{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase25{a} libimagequant0{a} libip4tc2{a} libjbig-dev{a} libjbig0{a} libjbig2dec0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-c5{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp24{a} libkmlbase1{a} libkmldom1{a} libkmlengine1{a} libkmod2{a} libkpathsea6{a} liblab-gamut1{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} libldap-2.4-2{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm11{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzf1{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmd0{a} libmfx1{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec3{a} libmpg123-0{a} libncurses6{a} libnetcdf18{a} libnghttp2-14{a} libnorm1{a} libnspr4{a} libnss3{a} libnuma1{a} libodbc1{a} libogdi4.1{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d4.5{a} libopencv-contrib-dev{a} libopencv-contrib4.5{a} libopencv-core-dev{a} libopencv-core4.5{a} libopencv-dev{a} libopencv-dnn-dev{a} libopencv-dnn4.5{a} libopencv-features2d-dev{a} libopencv-features2d4.5{a} libopencv-flann-dev{a} libopencv-flann4.5{a} libopencv-highgui-dev{a} libopencv-highgui4.5{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs4.5{a} libopencv-imgproc-dev{a} libopencv-imgproc4.5{a} libopencv-ml-dev{a} libopencv-ml4.5{a} libopencv-objdetect-dev{a} libopencv-objdetect4.5{a} libopencv-photo-dev{a} libopencv-photo4.5{a} libopencv-shape-dev{a} libopencv-shape4.5{a} libopencv-stitching-dev{a} libopencv-stitching4.5{a} libopencv-superres-dev{a} libopencv-superres4.5{a} libopencv-video-dev{a} libopencv-video4.5{a} libopencv-videoio-dev{a} libopencv-videoio4.5{a} libopencv-videostab-dev{a} libopencv-videostab4.5{a} libopencv-viz-dev{a} libopencv-viz4.5{a} libopenexr-dev{a} libopenexr25{a} libopengl0{a} libopenjp2-7{a} libopenmpt0{a} libopus0{a} liborc-0.4-0{a} libpam-systemd{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpciaccess0{a} libpdfbox-java{a} libpgm-5.3-0{a} libpipeline1{a} libpixman-1-0{a} libpng-dev{a} libpng16-16{a} libpoppler102{a} libpq5{a} libprocps8{a} libproj19{a} libprotobuf-dev{a} libprotobuf-lite23{a} libprotobuf23{a} libprotoc-dev{a} libprotoc23{a} libproxy1v5{a} libpsl5{a} libptexenc1{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.9{a} libpython3.9-dev{a} libpython3.9-minimal{a} libpython3.9-stdlib{a} libqhull8.0{a} librabbitmq4{a} libraw1394-11{a} libraw1394-dev{a} libreadline8{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librtmp1{a} librttopo1{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libshine3{a} libsigsegv2{a} libsm6{a} libsnappy-dev{a} libsnappy1v5{a} libsocket++1{a} libsodium23{a} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libsrt1.4-gnutls{a} libssh-gcrypt-4{a} libssh2-1{a} libsub-override-perl{a} libsuperlu5{a} libswresample-dev{a} libswresample3{a} libswscale-dev{a} libswscale5{a} libsynctex2{a} libsz2{a} libtbb-dev{a} libtbb2{a} libtcl8.6{a} libteckit0{a} libtesseract4{a} libtexlua53{a} libtexluajit2{a} libthai-data{a} libthai0{a} libtheora0{a} libtiff-dev{a} libtiff5{a} libtiffxx5{a} libtk8.6{a} libtool{a} libtwolame0{a} libuchardet0{a} libudfread0{a} libunicode-linebreak-perl{a} libunwind-dev{a} libunwind8{a} liburiparser1{a} libusb-1.0-0{a} libuv1{a} libva-drm2{a} libva-x11-2{a} libva2{a} libvdpau1{a} libvorbis0a{a} libvorbisenc2{a} libvorbisfile3{a} libvpx6{a} libvtk9{a} libvulkan1{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-160{a} libx265-192{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-xfixes0{a} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxerces-c3.2{a} libxext6{a} libxfixes3{a} libxft2{a} libxi6{a} libxinerama1{a} libxkbcommon0{a} libxml2{a} libxmu6{a} libxpm4{a} libxrandr2{a} libxrender1{a} libxshmfence1{a} libxss1{a} libxt6{a} libxvidcore4{a} libxxf86vm1{a} libyaml-0-2{a} libz3-4{a} libzmq5{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lmodern{a} m4{a} mailcap{a} man-db{a} mariadb-common{a} media-types{a} mime-support{a} mysql-common{a} ocl-icd-libopencl1{a} odbcinst{a} odbcinst1debian2{a} pkg-config{a} po-debconf{a} poppler-data{a} preview-latex-style{a} procps{a} proj-data{a} protobuf-compiler{a} python-matplotlib-data{a} python3{a} python3-backcall{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-h5py-serial{a} python3-imageio{a} python3-ipython{a} python3-ipython-genutils{a} python3-jedi{a} python3-kiwisolver{a} python3-lib2to3{a} python3-matplotlib{a} python3-minimal{a} python3-networkx{a} python3-nose{a} python3-numpy{a} python3-pandas{a} python3-pandas-lib{a} python3-parso{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-protobuf{a} python3-ptyprocess{a} python3-pydotplus{a} python3-pygments{a} python3-pyparsing{a} python3-pywt{a} python3-scipy{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-tifffile{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.9{a} python3.9-dev{a} python3.9-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{a} 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 chrony curl dvisvgm fonts-droid-fallback fonts-liberation gstreamer1.0-plugins-base i965-va-driver intel-media-va-driver javascript-common libaacs0 libarchive-cpio-perl libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin libldap-common liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libopencv4.5-java libpam-cap libpng-tools libraw1394-tools librsvg2-common libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lynx mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers ntp ntpsec opencv-data openntpd proj-bin ps2eps psmisc publicsuffix python3-bottleneck python3-bs4 python3-dask python3-gdal python3-html5lib python3-jinja2 python3-lxml python3-numba python3-numexpr python3-odf python3-olefile python3-openpyxl python3-pydot python3-pygraphviz python3-pytest python3-tables python3-tk python3-xlwt ruby systemd-timesyncd tex-gyre tipa tk va-driver-all vdpau-driver-all wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 556 newly installed, 0 to remove and 0 not upgraded. Need to get 564 MB of archives. After unpacking 2058 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian bullseye/main amd64 libapparmor1 amd64 2.13.6-10 [99.3 kB] Get: 2 http://deb.debian.org/debian bullseye/main amd64 libcap2 amd64 1:2.44-1 [23.6 kB] Get: 3 http://deb.debian.org/debian bullseye/main amd64 libargon2-1 amd64 0~20171227-0.2 [19.6 kB] Get: 4 http://deb.debian.org/debian bullseye/main amd64 dmsetup amd64 2:1.02.175-2.1 [92.1 kB] Get: 5 http://deb.debian.org/debian bullseye/main amd64 libdevmapper1.02.1 amd64 2:1.02.175-2.1 [143 kB] Get: 6 http://deb.debian.org/debian bullseye/main amd64 libjson-c5 amd64 0.15-2+deb11u1 [42.9 kB] Get: 7 http://deb.debian.org/debian bullseye/main amd64 libcryptsetup12 amd64 2:2.3.7-1+deb11u1 [248 kB] Get: 8 http://deb.debian.org/debian bullseye/main amd64 libip4tc2 amd64 1.8.7-1 [34.6 kB] Get: 9 http://deb.debian.org/debian bullseye/main amd64 libkmod2 amd64 28-1 [55.6 kB] Get: 10 http://deb.debian.org/debian bullseye/main amd64 systemd amd64 247.3-7+deb11u5 [4502 kB] Get: 11 http://deb.debian.org/debian bullseye/main amd64 systemd-sysv amd64 247.3-7+deb11u5 [114 kB] Get: 12 http://deb.debian.org/debian bullseye/main amd64 libdbus-1-3 amd64 1.12.28-0+deb11u1 [223 kB] Get: 13 http://deb.debian.org/debian bullseye/main amd64 libexpat1 amd64 2.2.10-2+deb11u5 [98.2 kB] Get: 14 http://deb.debian.org/debian bullseye/main amd64 dbus amd64 1.12.28-0+deb11u1 [244 kB] Get: 15 http://deb.debian.org/debian bullseye/main amd64 bsdextrautils amd64 2.36.1-8+deb11u2 [146 kB] Get: 16 http://deb.debian.org/debian bullseye/main amd64 libuchardet0 amd64 0.0.7-1 [67.8 kB] Get: 17 http://deb.debian.org/debian bullseye/main amd64 groff-base amd64 1.22.4-6 [936 kB] Get: 18 http://deb.debian.org/debian bullseye/main amd64 libpipeline1 amd64 1.5.3-1 [34.3 kB] Get: 19 http://deb.debian.org/debian bullseye/main amd64 man-db amd64 2.9.4-2 [1354 kB] Get: 20 http://deb.debian.org/debian bullseye/main amd64 poppler-data all 0.4.10-1 [1602 kB] Get: 21 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-minimal amd64 3.9.2-1 [801 kB] Get: 22 http://deb.debian.org/debian bullseye/main amd64 python3.9-minimal amd64 3.9.2-1 [1955 kB] Get: 23 http://deb.debian.org/debian bullseye/main amd64 python3-minimal amd64 3.9.2-3 [38.2 kB] Get: 24 http://deb.debian.org/debian bullseye/main amd64 media-types all 4.0.0 [30.3 kB] Get: 25 http://deb.debian.org/debian bullseye/main amd64 mailcap all 3.69 [31.7 kB] Get: 26 http://deb.debian.org/debian bullseye/main amd64 mime-support all 3.66 [10.9 kB] Get: 27 http://deb.debian.org/debian bullseye/main amd64 libmpdec3 amd64 2.5.1-1 [87.7 kB] Get: 28 http://deb.debian.org/debian bullseye/main amd64 readline-common all 8.1-1 [73.7 kB] Get: 29 http://deb.debian.org/debian bullseye/main amd64 libreadline8 amd64 8.1-1 [169 kB] Get: 30 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-stdlib amd64 3.9.2-1 [1684 kB] Get: 31 http://deb.debian.org/debian bullseye/main amd64 python3.9 amd64 3.9.2-1 [466 kB] Get: 32 http://deb.debian.org/debian bullseye/main amd64 libpython3-stdlib amd64 3.9.2-3 [21.4 kB] Get: 33 http://deb.debian.org/debian bullseye/main amd64 python3 amd64 3.9.2-3 [37.9 kB] Get: 34 http://deb.debian.org/debian bullseye/main amd64 sensible-utils all 0.0.14 [14.8 kB] Get: 35 http://deb.debian.org/debian bullseye/main amd64 ucf all 3.0043 [74.0 kB] Get: 36 http://deb.debian.org/debian bullseye/main amd64 tex-common all 6.16 [53.7 kB] Get: 37 http://deb.debian.org/debian bullseye/main amd64 libncurses6 amd64 6.2+20201114-2+deb11u2 [102 kB] Get: 38 http://deb.debian.org/debian bullseye/main amd64 libprocps8 amd64 2:3.3.17-5 [63.9 kB] Get: 39 http://deb.debian.org/debian bullseye/main amd64 procps amd64 2:3.3.17-5 [502 kB] Get: 40 http://deb.debian.org/debian bullseye/main amd64 bash-completion all 1:2.11-2 [234 kB] Get: 41 http://deb.debian.org/debian bullseye/main amd64 libmagic-mgc amd64 1:5.39-3+deb11u1 [273 kB] Get: 42 http://deb.debian.org/debian bullseye/main amd64 libmagic1 amd64 1:5.39-3+deb11u1 [128 kB] Get: 43 http://deb.debian.org/debian bullseye/main amd64 file amd64 1:5.39-3+deb11u1 [69.2 kB] Get: 44 http://deb.debian.org/debian bullseye/main amd64 gettext-base amd64 0.21-4 [175 kB] Get: 45 http://deb.debian.org/debian bullseye/main amd64 libpam-systemd amd64 247.3-7+deb11u5 [283 kB] Get: 46 http://deb.debian.org/debian bullseye/main amd64 hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 47 http://deb.debian.org/debian bullseye/main amd64 libgdk-pixbuf2.0-common all 2.42.2+dfsg-1+deb11u2 [320 kB] Get: 48 http://deb.debian.org/debian bullseye/main amd64 libglib2.0-0 amd64 2.66.8-1+deb11u4 [1377 kB] Get: 49 http://deb.debian.org/debian bullseye/main amd64 libicu67 amd64 67.1-7 [8622 kB] Get: 50 http://deb.debian.org/debian bullseye/main amd64 libxml2 amd64 2.9.10+dfsg-6.7+deb11u4 [693 kB] Get: 51 http://deb.debian.org/debian bullseye/main amd64 shared-mime-info amd64 2.0-1 [701 kB] Get: 52 http://deb.debian.org/debian bullseye/main amd64 libjpeg62-turbo amd64 1:2.0.6-4 [151 kB] Get: 53 http://deb.debian.org/debian bullseye/main amd64 libpng16-16 amd64 1.6.37-3 [294 kB] Get: 54 http://deb.debian.org/debian bullseye/main amd64 libdeflate0 amd64 1.7-1 [53.1 kB] Get: 55 http://deb.debian.org/debian bullseye/main amd64 libjbig0 amd64 2.1-3.1+b2 [31.0 kB] Get: 56 http://deb.debian.org/debian bullseye/main amd64 libwebp6 amd64 0.6.1-2.1+deb11u2 [259 kB] Get: 57 http://deb.debian.org/debian bullseye/main amd64 libtiff5 amd64 4.2.0-1+deb11u5 [290 kB] Get: 58 http://deb.debian.org/debian bullseye/main amd64 libgdk-pixbuf-2.0-0 amd64 2.42.2+dfsg-1+deb11u2 [147 kB] Get: 59 http://deb.debian.org/debian bullseye/main amd64 gtk-update-icon-cache amd64 3.24.24-4+deb11u3 [88.4 kB] Get: 60 http://deb.debian.org/debian bullseye/main amd64 adwaita-icon-theme all 3.38.0-1 [10.9 MB] Get: 61 http://deb.debian.org/debian bullseye/main amd64 libsigsegv2 amd64 2.13-1 [34.8 kB] Get: 62 http://deb.debian.org/debian bullseye/main amd64 m4 amd64 1.4.18-5 [204 kB] Get: 63 http://deb.debian.org/debian bullseye/main amd64 autoconf all 2.69-14 [313 kB] Get: 64 http://deb.debian.org/debian bullseye/main amd64 autotools-dev all 20180224.1+nmu1 [77.1 kB] Get: 65 http://deb.debian.org/debian bullseye/main amd64 automake all 1:1.16.3-2 [814 kB] Get: 66 http://deb.debian.org/debian bullseye/main amd64 autopoint all 0.21-4 [510 kB] Get: 67 http://deb.debian.org/debian bullseye/main amd64 bc amd64 1.07.1-2+b2 [109 kB] Get: 68 http://deb.debian.org/debian bullseye/main amd64 libpaper1 amd64 1.1.28+b1 [21.6 kB] Get: 69 http://deb.debian.org/debian bullseye/main amd64 libpaper-utils amd64 1.1.28+b1 [18.3 kB] Get: 70 http://deb.debian.org/debian bullseye/main amd64 libkpathsea6 amd64 2020.20200327.54578-7+deb11u1 [172 kB] Get: 71 http://deb.debian.org/debian bullseye/main amd64 libptexenc1 amd64 2020.20200327.54578-7+deb11u1 [64.7 kB] Get: 72 http://deb.debian.org/debian bullseye/main amd64 libsynctex2 amd64 2020.20200327.54578-7+deb11u1 [83.4 kB] Get: 73 http://deb.debian.org/debian bullseye/main amd64 libtexlua53 amd64 2020.20200327.54578-7+deb11u1 [131 kB] Get: 74 http://deb.debian.org/debian bullseye/main amd64 libtexluajit2 amd64 2020.20200327.54578-7+deb11u1 [267 kB] Get: 75 http://deb.debian.org/debian bullseye/main amd64 t1utils amd64 1.41-4 [62.1 kB] Get: 76 http://deb.debian.org/debian bullseye/main amd64 libbrotli1 amd64 1.0.9-2+b2 [279 kB] Get: 77 http://deb.debian.org/debian bullseye/main amd64 libfreetype6 amd64 2.10.4+dfsg-1+deb11u1 [418 kB] Get: 78 http://deb.debian.org/debian bullseye/main amd64 fonts-dejavu-core all 2.37-2 [1069 kB] Get: 79 http://deb.debian.org/debian bullseye/main amd64 ttf-bitstream-vera all 1.10-8.1 [223 kB] Get: 80 http://deb.debian.org/debian bullseye/main amd64 fonts-urw-base35 all 20200910-1 [6367 kB] Get: 81 http://deb.debian.org/debian bullseye/main amd64 fontconfig-config all 2.13.1-4.2 [281 kB] Get: 82 http://deb.debian.org/debian bullseye/main amd64 libfontconfig1 amd64 2.13.1-4.2 [347 kB] Get: 83 http://deb.debian.org/debian bullseye/main amd64 libpixman-1-0 amd64 0.40.0-1.1~deb11u1 [543 kB] Get: 84 http://deb.debian.org/debian bullseye/main amd64 libxau6 amd64 1:1.0.9-1 [19.7 kB] Get: 85 http://deb.debian.org/debian bullseye/main amd64 libmd0 amd64 1.0.3-3 [28.0 kB] Get: 86 http://deb.debian.org/debian bullseye/main amd64 libbsd0 amd64 0.11.3-1+deb11u1 [108 kB] Get: 87 http://deb.debian.org/debian bullseye/main amd64 libxdmcp6 amd64 1:1.1.2-3 [26.3 kB] Get: 88 http://deb.debian.org/debian bullseye/main amd64 libxcb1 amd64 1.14-3 [140 kB] Get: 89 http://deb.debian.org/debian bullseye/main amd64 libx11-data all 2:1.7.2-1+deb11u2 [311 kB] Get: 90 http://deb.debian.org/debian bullseye/main amd64 libx11-6 amd64 2:1.7.2-1+deb11u2 [772 kB] Get: 91 http://deb.debian.org/debian bullseye/main amd64 libxcb-render0 amd64 1.14-3 [111 kB] Get: 92 http://deb.debian.org/debian bullseye/main amd64 libxcb-shm0 amd64 1.14-3 [101 kB] Get: 93 http://deb.debian.org/debian bullseye/main amd64 libxext6 amd64 2:1.3.3-1.1 [52.7 kB] Get: 94 http://deb.debian.org/debian bullseye/main amd64 libxrender1 amd64 1:0.9.10-1 [33.0 kB] Get: 95 http://deb.debian.org/debian bullseye/main amd64 libcairo2 amd64 1.16.0-5 [694 kB] Get: 96 http://deb.debian.org/debian bullseye/main amd64 libgraphite2-3 amd64 1.3.14-1 [81.2 kB] Get: 97 http://deb.debian.org/debian bullseye/main amd64 libharfbuzz0b amd64 2.7.4-1 [1471 kB] Get: 98 http://deb.debian.org/debian bullseye/main amd64 libteckit0 amd64 2.5.10+ds1-3 [329 kB] Get: 99 http://deb.debian.org/debian bullseye/main amd64 x11-common all 1:7.7+22 [252 kB] Get: 100 http://deb.debian.org/debian bullseye/main amd64 libice6 amd64 2:1.0.10-1 [58.5 kB] Get: 101 http://deb.debian.org/debian bullseye/main amd64 libsm6 amd64 2:1.2.3-1 [35.1 kB] Get: 102 http://deb.debian.org/debian bullseye/main amd64 libxt6 amd64 1:1.2.0-1 [189 kB] Get: 103 http://deb.debian.org/debian bullseye/main amd64 libxmu6 amd64 2:1.1.2-2+b3 [60.8 kB] Get: 104 http://deb.debian.org/debian bullseye/main amd64 libxpm4 amd64 1:3.5.12-1.1+deb11u1 [50.0 kB] Get: 105 http://deb.debian.org/debian bullseye/main amd64 libxaw7 amd64 2:1.0.13-1.1 [202 kB] Get: 106 http://deb.debian.org/debian bullseye/main amd64 libxi6 amd64 2:1.7.10-1 [83.4 kB] Get: 107 http://deb.debian.org/debian bullseye/main amd64 libzzip-0-13 amd64 0.13.62-3.3+deb11u1 [55.9 kB] Get: 108 http://deb.debian.org/debian bullseye/main amd64 texlive-binaries amd64 2020.20200327.54578-7+deb11u1 [10.1 MB] Get: 109 http://deb.debian.org/debian bullseye/main amd64 xdg-utils all 1.1.3-4.1 [75.5 kB] Get: 110 http://deb.debian.org/debian bullseye/main amd64 texlive-base all 2020.20210202-3 [20.8 MB] Get: 111 http://deb.debian.org/debian bullseye/main amd64 fonts-lmodern all 2.004.5-6.1 [4540 kB] Get: 112 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-base all 2020.20210202-3 [1120 kB] Get: 113 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-recommended all 2020.20210202-3 [14.5 MB] Get: 114 http://deb.debian.org/debian bullseye/main amd64 cm-super-minimal all 0.3.4-15 [5815 kB] Get: 115 http://deb.debian.org/debian bullseye/main amd64 cmake-data all 3.18.4-2+deb11u1 [1725 kB] Get: 116 http://deb.debian.org/debian bullseye/main amd64 libarchive13 amd64 3.4.3-2+deb11u1 [343 kB] Get: 117 http://deb.debian.org/debian bullseye/main amd64 libsasl2-modules-db amd64 2.1.27+dfsg-2.1+deb11u1 [69.1 kB] Get: 118 http://deb.debian.org/debian bullseye/main amd64 libsasl2-2 amd64 2.1.27+dfsg-2.1+deb11u1 [106 kB] Get: 119 http://deb.debian.org/debian bullseye/main amd64 libldap-2.4-2 amd64 2.4.57+dfsg-3+deb11u1 [232 kB] Get: 120 http://deb.debian.org/debian bullseye/main amd64 libnghttp2-14 amd64 1.43.0-1+deb11u1 [77.2 kB] Get: 121 http://deb.debian.org/debian bullseye/main amd64 libpsl5 amd64 0.21.0-1.2 [57.3 kB] Get: 122 http://deb.debian.org/debian bullseye/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b2 [60.8 kB] Get: 123 http://deb.debian.org/debian bullseye/main amd64 libssh2-1 amd64 1.9.0-2+deb11u1 [156 kB] Get: 124 http://deb.debian.org/debian bullseye/main amd64 libcurl4 amd64 7.74.0-1.3+deb11u12 [347 kB] Get: 125 http://deb.debian.org/debian bullseye/main amd64 libjsoncpp24 amd64 1.9.4-4 [78.9 kB] Get: 126 http://deb.debian.org/debian bullseye/main amd64 librhash0 amd64 1.4.1-2 [129 kB] Get: 127 http://deb.debian.org/debian bullseye/main amd64 libuv1 amd64 1.40.0-2+deb11u1 [132 kB] Get: 128 http://deb.debian.org/debian bullseye/main amd64 cmake amd64 3.18.4-2+deb11u1 [5593 kB] Get: 129 http://deb.debian.org/debian bullseye/main amd64 cython3 amd64 0.29.21-3+b1 [1312 kB] Get: 130 http://deb.debian.org/debian bullseye/main amd64 dbus-user-session amd64 1.12.28-0+deb11u1 [100 kB] Get: 131 http://deb.debian.org/debian bullseye/main amd64 libdconf1 amd64 0.38.0-2 [43.5 kB] Get: 132 http://deb.debian.org/debian bullseye/main amd64 dconf-service amd64 0.38.0-2 [37.4 kB] Get: 133 http://deb.debian.org/debian bullseye/main amd64 dconf-gsettings-backend amd64 0.38.0-2 [30.6 kB] Get: 134 http://deb.debian.org/debian bullseye/main amd64 libdebhelper-perl all 13.3.4 [189 kB] Get: 135 http://deb.debian.org/debian bullseye/main amd64 libtool all 2.4.6-15 [513 kB] Get: 136 http://deb.debian.org/debian bullseye/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 137 http://deb.debian.org/debian bullseye/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 138 http://deb.debian.org/debian bullseye/main amd64 libsub-override-perl all 0.09-2 [10.2 kB] Get: 139 http://deb.debian.org/debian bullseye/main amd64 libfile-stripnondeterminism-perl all 1.12.0-1 [26.3 kB] Get: 140 http://deb.debian.org/debian bullseye/main amd64 dh-strip-nondeterminism all 1.12.0-1 [15.4 kB] Get: 141 http://deb.debian.org/debian bullseye/main amd64 libelf1 amd64 0.183-1 [165 kB] Get: 142 http://deb.debian.org/debian bullseye/main amd64 dwz amd64 0.13+20210201-1 [175 kB] Get: 143 http://deb.debian.org/debian bullseye/main amd64 gettext amd64 0.21-4 [1311 kB] Get: 144 http://deb.debian.org/debian bullseye/main amd64 intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 145 http://deb.debian.org/debian bullseye/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 146 http://deb.debian.org/debian bullseye/main amd64 debhelper all 13.3.4 [1049 kB] Get: 147 http://deb.debian.org/debian bullseye/main amd64 python3-lib2to3 all 3.9.2-1 [77.8 kB] Get: 148 http://deb.debian.org/debian bullseye/main amd64 python3-distutils all 3.9.2-1 [143 kB] Get: 149 http://deb.debian.org/debian bullseye/main amd64 dh-python all 4.20201102+nmu1 [99.4 kB] Get: 150 http://deb.debian.org/debian bullseye/main amd64 libedit2 amd64 3.1-20191231-2+b1 [96.7 kB] Get: 151 http://deb.debian.org/debian bullseye/main amd64 libz3-4 amd64 4.8.10-1 [6949 kB] Get: 152 http://deb.debian.org/debian bullseye/main amd64 libllvm11 amd64 1:11.0.1-2 [17.9 MB] Get: 153 http://deb.debian.org/debian bullseye/main amd64 libclang-cpp11 amd64 1:11.0.1-2 [9632 kB] Get: 154 http://deb.debian.org/debian bullseye/main amd64 libclang1-11 amd64 1:11.0.1-2 [5521 kB] Get: 155 http://deb.debian.org/debian bullseye/main amd64 doxygen amd64 1.9.1-1 [4232 kB] Get: 156 http://deb.debian.org/debian bullseye/main amd64 libthai-data all 0.1.28-3 [170 kB] Get: 157 http://deb.debian.org/debian bullseye/main amd64 libdatrie1 amd64 0.2.13-1 [42.7 kB] Get: 158 http://deb.debian.org/debian bullseye/main amd64 libthai0 amd64 0.1.28-3 [54.2 kB] Get: 159 http://deb.debian.org/debian bullseye/main amd64 libsombok3 amd64 2.4.0-2+b1 [31.4 kB] Get: 160 http://deb.debian.org/debian bullseye/main amd64 libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 161 http://deb.debian.org/debian bullseye/main amd64 libunicode-linebreak-perl amd64 0.0.20190101-1+b3 [102 kB] Get: 162 http://deb.debian.org/debian bullseye/main amd64 libjs-jquery all 3.5.1+dfsg+~3.5.5-7 [315 kB] Get: 163 http://deb.debian.org/debian bullseye/main amd64 libfontenc1 amd64 1:1.1.4-1 [24.3 kB] Get: 164 http://deb.debian.org/debian bullseye/main amd64 xfonts-encodings all 1:1.0.4-2.1 [573 kB] Get: 165 http://deb.debian.org/debian bullseye/main amd64 xfonts-utils amd64 1:7.7+6 [93.0 kB] Get: 166 http://deb.debian.org/debian bullseye/main amd64 lmodern all 2.004.5-6.1 [9489 kB] Get: 167 http://deb.debian.org/debian bullseye/main amd64 texlive-luatex all 2020.20210202-3 [14.4 MB] Get: 168 http://deb.debian.org/debian bullseye/main amd64 texlive-plain-generic all 2020.20210202-3 [27.0 MB] Get: 169 http://deb.debian.org/debian bullseye/main amd64 texlive-extra-utils all 2020.20210202-3 [55.5 MB] Get: 170 http://deb.debian.org/debian bullseye/main amd64 libapache-pom-java all 18-1 [4676 B] Get: 171 http://deb.debian.org/debian bullseye/main amd64 libcommons-parent-java all 43-1 [10.8 kB] Get: 172 http://deb.debian.org/debian bullseye/main amd64 libcommons-logging-java all 1.2-2 [62.2 kB] Get: 173 http://deb.debian.org/debian bullseye/main amd64 libfontbox-java all 1:1.8.16-2 [211 kB] Get: 174 http://deb.debian.org/debian bullseye/main amd64 libpdfbox-java all 1:1.8.16-2 [5205 kB] Get: 175 http://deb.debian.org/debian bullseye/main amd64 preview-latex-style all 12.2-1 [201 kB] Get: 176 http://deb.debian.org/debian bullseye/main amd64 texlive-pictures all 2020.20210202-3 [6743 kB] Get: 177 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-extra all 2020.20210202-3 [13.7 MB] Get: 178 http://deb.debian.org/debian bullseye/main amd64 texlive-font-utils all 2020.20210202-3 [4672 kB] Get: 179 http://deb.debian.org/debian bullseye/main amd64 libgs9-common all 9.53.3~dfsg-7+deb11u7 [735 kB] Get: 180 http://deb.debian.org/debian bullseye/main amd64 libavahi-common-data amd64 0.8-5+deb11u2 [124 kB] Get: 181 http://deb.debian.org/debian bullseye/main amd64 libavahi-common3 amd64 0.8-5+deb11u2 [58.7 kB] Get: 182 http://deb.debian.org/debian bullseye/main amd64 libavahi-client3 amd64 0.8-5+deb11u2 [62.6 kB] Get: 183 http://deb.debian.org/debian bullseye/main amd64 libcups2 amd64 2.3.3op2-3+deb11u6 [351 kB] Get: 184 http://deb.debian.org/debian bullseye/main amd64 libidn11 amd64 1.33-3 [116 kB] Get: 185 http://deb.debian.org/debian bullseye/main amd64 libijs-0.35 amd64 0.35-15 [16.4 kB] Get: 186 http://deb.debian.org/debian bullseye/main amd64 libjbig2dec0 amd64 0.19-2 [67.2 kB] Get: 187 http://deb.debian.org/debian bullseye/main amd64 liblcms2-2 amd64 2.12~rc1-2 [150 kB] Get: 188 http://deb.debian.org/debian bullseye/main amd64 libopenjp2-7 amd64 2.4.0-3 [172 kB] Get: 189 http://deb.debian.org/debian bullseye/main amd64 libgs9 amd64 9.53.3~dfsg-7+deb11u7 [2244 kB] Get: 190 http://deb.debian.org/debian bullseye/main amd64 ghostscript amd64 9.53.3~dfsg-7+deb11u7 [98.5 kB] Get: 191 http://deb.debian.org/debian bullseye/main amd64 texlive-fonts-recommended all 2020.20210202-3 [5002 kB] Get: 192 http://deb.debian.org/debian bullseye/main amd64 doxygen-latex all 1.9.1-1 [298 kB] Get: 193 http://deb.debian.org/debian bullseye/main amd64 fontconfig amd64 2.13.1-4.2 [417 kB] Get: 194 http://deb.debian.org/debian bullseye/main amd64 fonts-lyx all 2.3.6-1 [205 kB] Get: 195 http://deb.debian.org/debian bullseye/main amd64 gdal-data all 3.2.2+dfsg-2+deb11u2 [462 kB] Get: 196 http://deb.debian.org/debian bullseye/main amd64 libproxy1v5 amd64 0.4.17-1 [59.5 kB] Get: 197 http://deb.debian.org/debian bullseye/main amd64 glib-networking-common all 2.66.0-2 [68.1 kB] Get: 198 http://deb.debian.org/debian bullseye/main amd64 glib-networking-services amd64 2.66.0-2 [17.5 kB] Get: 199 http://deb.debian.org/debian bullseye/main amd64 gsettings-desktop-schemas all 3.38.0-2 [588 kB] Get: 200 http://deb.debian.org/debian bullseye/main amd64 glib-networking amd64 2.66.0-2 [67.6 kB] Get: 201 http://deb.debian.org/debian bullseye/main amd64 libann0 amd64 1.1.2+doc-7 [25.3 kB] Get: 202 http://deb.debian.org/debian bullseye/main amd64 libcdt5 amd64 2.42.2-5 [62.2 kB] Get: 203 http://deb.debian.org/debian bullseye/main amd64 libcgraph6 amd64 2.42.2-5 [85.5 kB] Get: 204 http://deb.debian.org/debian bullseye/main amd64 libgd3 amd64 2.3.0-2 [137 kB] Get: 205 http://deb.debian.org/debian bullseye/main amd64 libgts-0.7-5 amd64 0.7.6+darcs121130-4+b1 [158 kB] Get: 206 http://deb.debian.org/debian bullseye/main amd64 libltdl7 amd64 2.4.6-15 [391 kB] Get: 207 http://deb.debian.org/debian bullseye/main amd64 libfribidi0 amd64 1.0.8-2+deb11u1 [64.9 kB] Get: 208 http://deb.debian.org/debian bullseye/main amd64 libpango-1.0-0 amd64 1.46.2-3 [191 kB] Get: 209 http://deb.debian.org/debian bullseye/main amd64 libpangoft2-1.0-0 amd64 1.46.2-3 [62.2 kB] Get: 210 http://deb.debian.org/debian bullseye/main amd64 libpangocairo-1.0-0 amd64 1.46.2-3 [50.6 kB] Get: 211 http://deb.debian.org/debian bullseye/main amd64 libpathplan4 amd64 2.42.2-5 [64.3 kB] Get: 212 http://deb.debian.org/debian bullseye/main amd64 libgvc6 amd64 2.42.2-5 [695 kB] Get: 213 http://deb.debian.org/debian bullseye/main amd64 libgvpr2 amd64 2.42.2-5 [212 kB] Get: 214 http://deb.debian.org/debian bullseye/main amd64 liblab-gamut1 amd64 2.42.2-5 [221 kB] Get: 215 http://deb.debian.org/debian bullseye/main amd64 graphviz amd64 2.42.2-5 [632 kB] Get: 216 http://deb.debian.org/debian bullseye/main amd64 hdf5-helpers amd64 1.10.6+repack-4+deb11u1 [40.4 kB] Get: 217 http://deb.debian.org/debian bullseye/main amd64 python3-backcall all 0.2.0-1 [10.7 kB] Get: 218 http://deb.debian.org/debian bullseye/main amd64 python3-decorator all 4.4.2-2 [15.8 kB] Get: 219 http://deb.debian.org/debian bullseye/main amd64 python3-parso all 0.8.1-1 [65.9 kB] Get: 220 http://deb.debian.org/debian bullseye/main amd64 python3-jedi all 0.18.0-1 [620 kB] Get: 221 http://deb.debian.org/debian bullseye/main amd64 python3-ptyprocess all 0.7.0-1 [13.6 kB] Get: 222 http://deb.debian.org/debian bullseye/main amd64 python3-pexpect all 4.8.0-2 [54.9 kB] Get: 223 http://deb.debian.org/debian bullseye/main amd64 python3-pickleshare all 0.7.5-3 [7604 B] Get: 224 http://deb.debian.org/debian bullseye/main amd64 python3-pkg-resources all 52.0.0-4 [190 kB] Get: 225 http://deb.debian.org/debian bullseye/main amd64 python3-wcwidth all 0.1.9+dfsg1-2 [18.2 kB] Get: 226 http://deb.debian.org/debian bullseye/main amd64 python3-prompt-toolkit all 3.0.14-1 [258 kB] Get: 227 http://deb.debian.org/debian bullseye/main amd64 python3-pygments all 2.7.1+dfsg-2.1 [657 kB] Get: 228 http://deb.debian.org/debian bullseye/main amd64 python3-ipython-genutils all 0.2.0-4 [21.4 kB] Get: 229 http://deb.debian.org/debian bullseye/main amd64 python3-traitlets all 5.0.5-1 [84.4 kB] Get: 230 http://deb.debian.org/debian bullseye/main amd64 python3-ipython all 7.20.0-1+deb11u1 [517 kB] Get: 231 http://deb.debian.org/debian bullseye/main amd64 ipython3 all 7.20.0-1+deb11u1 [25.0 kB] Get: 232 http://deb.debian.org/debian bullseye/main amd64 iso-codes all 4.6.0-1 [2824 kB] Get: 233 http://deb.debian.org/debian bullseye/main amd64 libaec0 amd64 1.0.4-1 [20.3 kB] Get: 234 http://deb.debian.org/debian bullseye/main amd64 libsz2 amd64 1.0.4-1 [6760 B] Get: 235 http://deb.debian.org/debian bullseye/main amd64 libaec-dev amd64 1.0.4-1 [18.7 kB] Get: 236 http://deb.debian.org/debian bullseye/main amd64 libaom0 amd64 1.0.0.errata1-3+deb11u1 [1120 kB] Get: 237 http://deb.debian.org/debian bullseye/main amd64 libblas3 amd64 3.9.0-3+deb11u1 [153 kB] Get: 238 http://deb.debian.org/debian bullseye/main amd64 libgfortran5 amd64 10.2.1-6 [727 kB] Get: 239 http://deb.debian.org/debian bullseye/main amd64 liblapack3 amd64 3.9.0-3+deb11u1 [2166 kB] Get: 240 http://deb.debian.org/debian bullseye/main amd64 libarpack2 amd64 3.8.0-1 [103 kB] Get: 241 http://deb.debian.org/debian bullseye/main amd64 libsuperlu5 amd64 5.2.2+dfsg1-2 [163 kB] Get: 242 http://deb.debian.org/debian bullseye/main amd64 libarmadillo10 amd64 1:10.1.2+dfsg-6+b1 [98.8 kB] Get: 243 http://deb.debian.org/debian bullseye/main amd64 libatk1.0-data all 2.36.0-2 [149 kB] Get: 244 http://deb.debian.org/debian bullseye/main amd64 libatk1.0-0 amd64 2.36.0-2 [52.2 kB] Get: 245 http://deb.debian.org/debian bullseye/main amd64 libatspi2.0-0 amd64 2.38.0-4+deb11u1 [72.4 kB] Get: 246 http://deb.debian.org/debian bullseye/main amd64 libatk-bridge2.0-0 amd64 2.38.0-1 [64.6 kB] Get: 247 http://deb.debian.org/debian bullseye/main amd64 libdrm-common all 2.4.104-1 [14.9 kB] Get: 248 http://deb.debian.org/debian bullseye/main amd64 libdrm2 amd64 2.4.104-1 [41.5 kB] Get: 249 http://deb.debian.org/debian bullseye/main amd64 libva2 amd64 2.10.0-1 [68.7 kB] Get: 250 http://deb.debian.org/debian bullseye/main amd64 libmfx1 amd64 21.1.0-1 [3289 kB] Get: 251 http://deb.debian.org/debian bullseye/main amd64 libva-drm2 amd64 2.10.0-1 [19.0 kB] Get: 252 http://deb.debian.org/debian bullseye/main amd64 libxfixes3 amd64 1:5.0.3-2 [22.1 kB] Get: 253 http://deb.debian.org/debian bullseye/main amd64 libva-x11-2 amd64 2.10.0-1 [24.0 kB] Get: 254 http://deb.debian.org/debian bullseye/main amd64 libvdpau1 amd64 1.4-3 [29.4 kB] Get: 255 http://deb.debian.org/debian bullseye/main amd64 ocl-icd-libopencl1 amd64 2.2.14-2 [42.5 kB] Get: 256 http://deb.debian.org/debian bullseye/main amd64 libavutil56 amd64 7:4.3.6-0+deb11u1 [312 kB] Get: 257 http://deb.debian.org/debian bullseye/main amd64 libcodec2-0.9 amd64 0.9.2-4 [7890 kB] Get: 258 http://deb.debian.org/debian bullseye/main amd64 libdav1d4 amd64 0.7.1-3+deb11u1 [331 kB] Get: 259 http://deb.debian.org/debian bullseye/main amd64 libgsm1 amd64 1.0.18-2 [27.7 kB] Get: 260 http://deb.debian.org/debian bullseye/main amd64 libmp3lame0 amd64 3.100-3 [364 kB] Get: 261 http://deb.debian.org/debian bullseye/main amd64 libopus0 amd64 1.3.1-0.1 [190 kB] Get: 262 http://deb.debian.org/debian bullseye/main amd64 libcairo-gobject2 amd64 1.16.0-5 [125 kB] Get: 263 http://deb.debian.org/debian bullseye/main amd64 librsvg2-2 amd64 2.50.3+dfsg-1+deb11u1 [2462 kB] Get: 264 http://deb.debian.org/debian bullseye/main amd64 libshine3 amd64 3.1.1-2 [23.6 kB] Get: 265 http://deb.debian.org/debian bullseye/main amd64 libsnappy1v5 amd64 1.1.8-1 [17.9 kB] Get: 266 http://deb.debian.org/debian bullseye/main amd64 libspeex1 amd64 1.2~rc1.2-1.1 [55.4 kB] Get: 267 http://deb.debian.org/debian bullseye/main amd64 libsoxr0 amd64 0.1.3-4 [77.8 kB] Get: 268 http://deb.debian.org/debian bullseye/main amd64 libswresample3 amd64 7:4.3.6-0+deb11u1 [110 kB] Get: 269 http://deb.debian.org/debian bullseye/main amd64 libogg0 amd64 1.3.4-0.1 [27.3 kB] Get: 270 http://deb.debian.org/debian bullseye/main amd64 libtheora0 amd64 1.1.1+dfsg.1-15 [169 kB] Get: 271 http://deb.debian.org/debian bullseye/main amd64 libtwolame0 amd64 0.4.0-2 [51.1 kB] Get: 272 http://deb.debian.org/debian bullseye/main amd64 libvorbis0a amd64 1.3.7-1 [93.0 kB] Get: 273 http://deb.debian.org/debian bullseye/main amd64 libvorbisenc2 amd64 1.3.7-1 [80.6 kB] Get: 274 http://deb.debian.org/debian bullseye/main amd64 libvpx6 amd64 1.9.0-1+deb11u2 [829 kB] Get: 275 http://deb.debian.org/debian bullseye/main amd64 libwavpack1 amd64 5.4.0-1 [87.8 kB] Get: 276 http://deb.debian.org/debian bullseye/main amd64 libwebpmux3 amd64 0.6.1-2.1+deb11u2 [97.7 kB] Get: 277 http://deb.debian.org/debian bullseye/main amd64 libx264-160 amd64 2:0.160.3011+gitcde9a93-2.1 [539 kB] Get: 278 http://deb.debian.org/debian bullseye/main amd64 libnuma1 amd64 2.0.12-1+b1 [26.3 kB] Get: 279 http://deb.debian.org/debian bullseye/main amd64 libx265-192 amd64 3.4-2 [1095 kB] Get: 280 http://deb.debian.org/debian bullseye/main amd64 libxvidcore4 amd64 2:1.3.7-1 [242 kB] Get: 281 http://deb.debian.org/debian bullseye/main amd64 libzvbi-common all 0.2.35-18 [64.6 kB] Get: 282 http://deb.debian.org/debian bullseye/main amd64 libzvbi0 amd64 0.2.35-18 [271 kB] Get: 283 http://deb.debian.org/debian bullseye/main amd64 libavcodec58 amd64 7:4.3.6-0+deb11u1 [4961 kB] Get: 284 http://deb.debian.org/debian bullseye/main amd64 libavutil-dev amd64 7:4.3.6-0+deb11u1 [440 kB] Get: 285 http://deb.debian.org/debian bullseye/main amd64 libswresample-dev amd64 7:4.3.6-0+deb11u1 [123 kB] Get: 286 http://deb.debian.org/debian bullseye/main amd64 libavcodec-dev amd64 7:4.3.6-0+deb11u1 [5518 kB] Get: 287 http://deb.debian.org/debian bullseye/main amd64 libudfread0 amd64 1.1.1-1 [16.4 kB] Get: 288 http://deb.debian.org/debian bullseye/main amd64 libbluray2 amd64 1:1.2.1-4+deb11u2 [139 kB] Get: 289 http://deb.debian.org/debian bullseye/main amd64 libchromaprint1 amd64 1.5.0-2 [40.8 kB] Get: 290 http://deb.debian.org/debian bullseye/main amd64 libgme0 amd64 0.6.3-2 [128 kB] Get: 291 http://deb.debian.org/debian bullseye/main amd64 libmpg123-0 amd64 1.26.4-1 [142 kB] Get: 292 http://deb.debian.org/debian bullseye/main amd64 libvorbisfile3 amd64 1.3.7-1 [26.1 kB] Get: 293 http://deb.debian.org/debian bullseye/main amd64 libopenmpt0 amd64 0.4.11-1 [616 kB] Get: 294 http://deb.debian.org/debian bullseye/main amd64 librabbitmq4 amd64 0.10.0-1 [41.0 kB] Get: 295 http://deb.debian.org/debian bullseye/main amd64 libsrt1.4-gnutls amd64 1.4.2-1.3 [271 kB] Get: 296 http://deb.debian.org/debian bullseye/main amd64 libssh-gcrypt-4 amd64 0.9.8-0+deb11u1 [221 kB] Get: 297 http://deb.debian.org/debian bullseye/main amd64 libnorm1 amd64 1.5.9+dfsg-2 [221 kB] Get: 298 http://deb.debian.org/debian bullseye/main amd64 libpgm-5.3-0 amd64 5.3.128~dfsg-2 [161 kB] Get: 299 http://deb.debian.org/debian bullseye/main amd64 libsodium23 amd64 1.0.18-1 [161 kB] Get: 300 http://deb.debian.org/debian bullseye/main amd64 libzmq5 amd64 4.3.4-1+deb11u1 [275 kB] Get: 301 http://deb.debian.org/debian bullseye/main amd64 libavformat58 amd64 7:4.3.6-0+deb11u1 [1056 kB] Get: 302 http://deb.debian.org/debian bullseye/main amd64 libavformat-dev amd64 7:4.3.6-0+deb11u1 [1258 kB] Get: 303 http://deb.debian.org/debian bullseye/main amd64 libblas-dev amd64 3.9.0-3+deb11u1 [161 kB] Get: 304 http://deb.debian.org/debian bullseye/main amd64 libboost1.74-dev amd64 1.74.0-9 [9534 kB] Get: 305 http://deb.debian.org/debian bullseye/main amd64 libboost-atomic1.74.0 amd64 1.74.0-9 [244 kB] Get: 306 http://deb.debian.org/debian bullseye/main amd64 libboost-atomic1.74-dev amd64 1.74.0-9 [245 kB] Get: 307 http://deb.debian.org/debian bullseye/main amd64 libboost-chrono1.74.0 amd64 1.74.0-9 [252 kB] Get: 308 http://deb.debian.org/debian bullseye/main amd64 libboost-chrono1.74-dev amd64 1.74.0-9 [260 kB] Get: 309 http://deb.debian.org/debian bullseye/main amd64 libboost-date-time1.74.0 amd64 1.74.0-9 [241 kB] Get: 310 http://deb.debian.org/debian bullseye/main amd64 libboost-serialization1.74.0 amd64 1.74.0-9 [340 kB] Get: 311 http://deb.debian.org/debian bullseye/main amd64 libboost-serialization1.74-dev amd64 1.74.0-9 [383 kB] Get: 312 http://deb.debian.org/debian bullseye/main amd64 libboost-date-time1.74-dev amd64 1.74.0-9 [250 kB] Get: 313 http://deb.debian.org/debian bullseye/main amd64 libboost-dev amd64 1.74.0.3 [4548 B] Get: 314 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem1.74.0 amd64 1.74.0-9 [283 kB] Get: 315 http://deb.debian.org/debian bullseye/main amd64 libboost-system1.74.0 amd64 1.74.0-9 [241 kB] Get: 316 http://deb.debian.org/debian bullseye/main amd64 libboost-system1.74-dev amd64 1.74.0-9 [243 kB] Get: 317 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem1.74-dev amd64 1.74.0-9 [304 kB] Get: 318 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem-dev amd64 1.74.0.3 [4368 B] Get: 319 http://deb.debian.org/debian bullseye/main amd64 libboost-python1.74.0 amd64 1.74.0-9 [313 kB] Get: 320 http://deb.debian.org/debian bullseye/main amd64 libpython3.9 amd64 3.9.2-1 [1691 kB] Get: 321 http://deb.debian.org/debian bullseye/main amd64 libexpat1-dev amd64 2.2.10-2+deb11u5 [141 kB] Get: 322 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-dev amd64 3.9.2-1 [4028 kB] Get: 323 http://deb.debian.org/debian bullseye/main amd64 libpython3-dev amd64 3.9.2-3 [21.7 kB] Get: 324 http://deb.debian.org/debian bullseye/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-2+deb11u2 [191 kB] Get: 325 http://deb.debian.org/debian bullseye/main amd64 python3.9-dev amd64 3.9.2-1 [515 kB] Get: 326 http://deb.debian.org/debian bullseye/main amd64 libjs-underscore all 1.9.1~dfsg-3 [100 kB] Get: 327 http://deb.debian.org/debian bullseye/main amd64 libjs-sphinxdoc all 3.4.3-2 [127 kB] Get: 328 http://deb.debian.org/debian bullseye/main amd64 python3-dev amd64 3.9.2-3 [24.8 kB] Get: 329 http://deb.debian.org/debian bullseye/main amd64 libboost-python1.74-dev amd64 1.74.0-9 [336 kB] Get: 330 http://deb.debian.org/debian bullseye/main amd64 libboost-python-dev amd64 1.74.0.3 [4632 B] Get: 331 http://deb.debian.org/debian bullseye/main amd64 libboost-system-dev amd64 1.74.0.3 [4468 B] Get: 332 http://deb.debian.org/debian bullseye/main amd64 libboost-thread1.74.0 amd64 1.74.0-9 [279 kB] Get: 333 http://deb.debian.org/debian bullseye/main amd64 libboost-thread1.74-dev amd64 1.74.0-9 [290 kB] Get: 334 http://deb.debian.org/debian bullseye/main amd64 libboost-thread-dev amd64 1.74.0.3 [4356 B] Get: 335 http://deb.debian.org/debian bullseye/main amd64 libcap2-bin amd64 1:2.44-1 [32.6 kB] Get: 336 http://deb.debian.org/debian bullseye/main amd64 libcurl3-gnutls amd64 7.74.0-1.3+deb11u12 [344 kB] Get: 337 http://deb.debian.org/debian bullseye/main amd64 libcfitsio9 amd64 3.490-3 [554 kB] Get: 338 http://deb.debian.org/debian bullseye/main amd64 libcharls2 amd64 2.2.0+dfsg-2 [79.4 kB] Get: 339 http://deb.debian.org/debian bullseye/main amd64 libcolord2 amd64 1.4.5-3 [144 kB] Get: 340 http://deb.debian.org/debian bullseye/main amd64 libdap27 amd64 3.20.7-6 [566 kB] Get: 341 http://deb.debian.org/debian bullseye/main amd64 libdapclient6v5 amd64 3.20.7-6 [208 kB] Get: 342 http://deb.debian.org/debian bullseye/main amd64 libraw1394-11 amd64 2.1.2-2 [41.1 kB] Get: 343 http://deb.debian.org/debian bullseye/main amd64 libusb-1.0-0 amd64 2:1.0.24-3 [60.2 kB] Get: 344 http://deb.debian.org/debian bullseye/main amd64 libdc1394-25 amd64 2.2.6-3 [108 kB] Get: 345 http://deb.debian.org/debian bullseye/main amd64 libraw1394-dev amd64 2.1.2-2 [52.1 kB] Get: 346 http://deb.debian.org/debian bullseye/main amd64 libdc1394-dev amd64 2.2.6-3 [135 kB] Get: 347 http://deb.debian.org/debian bullseye/main amd64 libde265-0 amd64 1.0.11-0+deb11u3 [180 kB] Get: 348 http://deb.debian.org/debian bullseye/main amd64 libdeflate-dev amd64 1.7-1 [46.9 kB] Get: 349 http://deb.debian.org/debian bullseye/main amd64 libdouble-conversion3 amd64 3.1.5-6.1 [41.0 kB] Get: 350 http://deb.debian.org/debian bullseye/main amd64 libdrm-amdgpu1 amd64 2.4.104-1 [28.5 kB] Get: 351 http://deb.debian.org/debian bullseye/main amd64 libpciaccess0 amd64 0.16-1 [53.6 kB] Get: 352 http://deb.debian.org/debian bullseye/main amd64 libdrm-intel1 amd64 2.4.104-1 [71.8 kB] Get: 353 http://deb.debian.org/debian bullseye/main amd64 libdrm-nouveau2 amd64 2.4.104-1 [26.8 kB] Get: 354 http://deb.debian.org/debian bullseye/main amd64 libdrm-radeon1 amd64 2.4.104-1 [30.2 kB] Get: 355 http://deb.debian.org/debian bullseye/main amd64 libdw1 amd64 0.183-1 [234 kB] Get: 356 http://deb.debian.org/debian bullseye/main amd64 libepoxy0 amd64 1.5.5-1 [193 kB] Get: 357 http://deb.debian.org/debian bullseye/main amd64 libepsilon1 amd64 0.9.2+dfsg-5 [41.9 kB] Get: 358 http://deb.debian.org/debian bullseye/main amd64 libexif12 amd64 0.6.22-3 [376 kB] Get: 359 http://deb.debian.org/debian bullseye/main amd64 libexif-dev amd64 0.6.22-3 [101 kB] Get: 360 http://deb.debian.org/debian bullseye/main amd64 libfreexl1 amd64 1.0.6-1 [34.2 kB] Get: 361 http://deb.debian.org/debian bullseye/main amd64 libfyba0 amd64 4.1.1-7 [114 kB] Get: 362 http://deb.debian.org/debian bullseye/main amd64 libgeos-3.9.0 amd64 3.9.0-1 [921 kB] Get: 363 http://deb.debian.org/debian bullseye/main amd64 libgeos-c1v5 amd64 3.9.0-1 [377 kB] Get: 364 http://deb.debian.org/debian bullseye/main amd64 proj-data all 7.2.1-1 [7940 kB] Get: 365 http://deb.debian.org/debian bullseye/main amd64 libproj19 amd64 7.2.1-1 [1132 kB] Get: 366 http://deb.debian.org/debian bullseye/main amd64 libgeotiff5 amd64 1.6.0-1 [70.3 kB] Get: 367 http://deb.debian.org/debian bullseye/main amd64 libgif7 amd64 5.1.9-2 [45.1 kB] Get: 368 http://deb.debian.org/debian bullseye/main amd64 libhdf4-0-alt amd64 4.2.15-3 [278 kB] Get: 369 http://deb.debian.org/debian bullseye/main amd64 libhdf5-103-1 amd64 1.10.6+repack-4+deb11u1 [1189 kB] Get: 370 http://deb.debian.org/debian bullseye/main amd64 libheif1 amd64 1.11.0-1 [191 kB] Get: 371 http://deb.debian.org/debian bullseye/main amd64 libminizip1 amd64 1.1-8+deb11u1 [20.1 kB] Get: 372 http://deb.debian.org/debian bullseye/main amd64 liburiparser1 amd64 0.9.4+dfsg-1+deb11u1 [45.9 kB] Get: 373 http://deb.debian.org/debian bullseye/main amd64 libkmlbase1 amd64 1.3.0-9 [48.7 kB] Get: 374 http://deb.debian.org/debian bullseye/main amd64 libkmldom1 amd64 1.3.0-9 [156 kB] Get: 375 http://deb.debian.org/debian bullseye/main amd64 libkmlengine1 amd64 1.3.0-9 [77.7 kB] Get: 376 http://deb.debian.org/debian bullseye/main amd64 mysql-common all 5.8+1.0.7 [7464 B] Get: 377 http://deb.debian.org/debian bullseye/main amd64 mariadb-common all 1:10.5.23-0+deb11u1 [37.2 kB] Get: 378 http://deb.debian.org/debian bullseye/main amd64 libmariadb3 amd64 1:10.5.23-0+deb11u1 [176 kB] Get: 379 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-100 amd64 1.10.6+repack-4+deb11u1 [81.8 kB] Get: 380 http://deb.debian.org/debian bullseye/main amd64 libnetcdf18 amd64 1:4.7.4-1 [399 kB] Get: 381 http://deb.debian.org/debian bullseye/main amd64 libodbc1 amd64 2.3.6-0.1+b1 [224 kB] Get: 382 http://deb.debian.org/debian bullseye/main amd64 libogdi4.1 amd64 4.1.0+ds-5 [213 kB] Get: 383 http://deb.debian.org/debian bullseye/main amd64 libnspr4 amd64 2:4.29-1 [112 kB] Get: 384 http://deb.debian.org/debian bullseye/main amd64 libnss3 amd64 2:3.61-1+deb11u3 [1305 kB] Get: 385 http://deb.debian.org/debian bullseye/main amd64 libpoppler102 amd64 20.09.0-3.1+deb11u1 [1676 kB] Get: 386 http://deb.debian.org/debian bullseye/main amd64 libpq5 amd64 13.15-0+deb11u1 [182 kB] Get: 387 http://deb.debian.org/debian bullseye/main amd64 libqhull8.0 amd64 2020.2-3 [246 kB] Get: 388 http://deb.debian.org/debian bullseye/main amd64 librttopo1 amd64 1.1.0-2 [180 kB] Get: 389 http://deb.debian.org/debian bullseye/main amd64 libspatialite7 amd64 5.0.1-2 [1796 kB] Get: 390 http://deb.debian.org/debian bullseye/main amd64 libxerces-c3.2 amd64 3.2.3+debian-3+deb11u1 [870 kB] Get: 391 http://deb.debian.org/debian bullseye/main amd64 odbcinst amd64 2.3.6-0.1+b1 [48.7 kB] Get: 392 http://deb.debian.org/debian bullseye/main amd64 odbcinst1debian2 amd64 2.3.6-0.1+b1 [78.6 kB] Get: 393 http://deb.debian.org/debian bullseye/main amd64 libgdal28 amd64 3.2.2+dfsg-2+deb11u2 [7256 kB] Get: 394 http://deb.debian.org/debian bullseye/main amd64 libsocket++1 amd64 1.12.13-11 [77.9 kB] Get: 395 http://deb.debian.org/debian bullseye/main amd64 libgdcm3.0 amd64 3.0.8-2 [1860 kB] Get: 396 http://deb.debian.org/debian bullseye/main amd64 libgdcm-dev amd64 3.0.8-2 [269 kB] Get: 397 http://deb.debian.org/debian bullseye/main amd64 libgflags2.2 amd64 2.2.2-2 [83.5 kB] Get: 398 http://deb.debian.org/debian bullseye/main amd64 libgflags-dev amd64 2.2.2-2 [100 kB] Get: 399 http://deb.debian.org/debian bullseye/main amd64 libglapi-mesa amd64 20.3.5-1 [71.7 kB] Get: 400 http://deb.debian.org/debian bullseye/main amd64 libsensors-config all 1:3.6.0-7 [32.3 kB] Get: 401 http://deb.debian.org/debian bullseye/main amd64 libsensors5 amd64 1:3.6.0-7 [52.3 kB] Get: 402 http://deb.debian.org/debian bullseye/main amd64 libvulkan1 amd64 1.2.162.0-1 [103 kB] Get: 403 http://deb.debian.org/debian bullseye/main amd64 libgl1-mesa-dri amd64 20.3.5-1 [9633 kB] Get: 404 http://deb.debian.org/debian bullseye/main amd64 libglvnd0 amd64 1.3.2-1 [53.6 kB] Get: 405 http://deb.debian.org/debian bullseye/main amd64 libx11-xcb1 amd64 2:1.7.2-1+deb11u2 [204 kB] Get: 406 http://deb.debian.org/debian bullseye/main amd64 libxcb-dri2-0 amd64 1.14-3 [103 kB] Get: 407 http://deb.debian.org/debian bullseye/main amd64 libxcb-dri3-0 amd64 1.14-3 [102 kB] Get: 408 http://deb.debian.org/debian bullseye/main amd64 libxcb-glx0 amd64 1.14-3 [118 kB] Get: 409 http://deb.debian.org/debian bullseye/main amd64 libxcb-present0 amd64 1.14-3 [101 kB] Get: 410 http://deb.debian.org/debian bullseye/main amd64 libxcb-sync1 amd64 1.14-3 [105 kB] Get: 411 http://deb.debian.org/debian bullseye/main amd64 libxcb-xfixes0 amd64 1.14-3 [105 kB] Get: 412 http://deb.debian.org/debian bullseye/main amd64 libxdamage1 amd64 1:1.1.5-2 [15.7 kB] Get: 413 http://deb.debian.org/debian bullseye/main amd64 libxshmfence1 amd64 1.3-1 [8820 B] Get: 414 http://deb.debian.org/debian bullseye/main amd64 libxxf86vm1 amd64 1:1.1.4-1+b2 [20.8 kB] Get: 415 http://deb.debian.org/debian bullseye/main amd64 libglx-mesa0 amd64 20.3.5-1 [186 kB] Get: 416 http://deb.debian.org/debian bullseye/main amd64 libglx0 amd64 1.3.2-1 [35.7 kB] Get: 417 http://deb.debian.org/debian bullseye/main amd64 libgl1 amd64 1.3.2-1 [89.5 kB] Get: 418 http://deb.debian.org/debian bullseye/main amd64 libgl2ps1.4 amd64 1.4.2+dfsg1-1 [39.4 kB] Get: 419 http://deb.debian.org/debian bullseye/main amd64 libglew2.1 amd64 2.1.0-4+b1 [160 kB] Get: 420 http://deb.debian.org/debian bullseye/main amd64 libunwind8 amd64 1.3.2-2 [54.5 kB] Get: 421 http://deb.debian.org/debian bullseye/main amd64 libgoogle-glog0v5 amd64 0.4.0-4 [60.9 kB] Get: 422 http://deb.debian.org/debian bullseye/main amd64 liblzma-dev amd64 5.2.5-2.1~deb11u1 [229 kB] Get: 423 http://deb.debian.org/debian bullseye/main amd64 libunwind-dev amd64 1.3.2-2 [414 kB] Get: 424 http://deb.debian.org/debian bullseye/main amd64 libgoogle-glog-dev amd64 0.4.0-4 [88.9 kB] Get: 425 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-port12 amd64 2.5.27-1 [150 kB] Get: 426 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-6 amd64 2.5.27-1 [753 kB] Get: 427 http://deb.debian.org/debian bullseye/main amd64 pkg-config amd64 0.29.2-1 [65.1 kB] Get: 428 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-dev amd64 2.5.27-1 [107 kB] Get: 429 http://deb.debian.org/debian bullseye/main amd64 libgstreamer1.0-0 amd64 1.18.4-2.1 [2230 kB] Get: 430 http://deb.debian.org/debian bullseye/main amd64 liborc-0.4-0 amd64 1:0.4.32-1 [192 kB] Get: 431 http://deb.debian.org/debian bullseye/main amd64 libgstreamer-plugins-base1.0-0 amd64 1.18.4-2+deb11u2 [2156 kB] Get: 432 http://deb.debian.org/debian bullseye/main amd64 libjson-glib-1.0-common all 1.6.2-1 [56.9 kB] Get: 433 http://deb.debian.org/debian bullseye/main amd64 libjson-glib-1.0-0 amd64 1.6.2-1 [65.4 kB] Get: 434 http://deb.debian.org/debian bullseye/main amd64 libsoup2.4-1 amd64 2.72.0-2 [280 kB] Get: 435 http://deb.debian.org/debian bullseye/main amd64 libsoup-gnome2.4-1 amd64 2.72.0-2 [22.2 kB] Get: 436 http://deb.debian.org/debian bullseye/main amd64 librest-0.7-0 amd64 0.8.1-1.1 [33.8 kB] Get: 437 http://deb.debian.org/debian bullseye/main amd64 libwayland-client0 amd64 1.18.0-2~exp1.1 [26.9 kB] Get: 438 http://deb.debian.org/debian bullseye/main amd64 libwayland-cursor0 amd64 1.18.0-2~exp1.1 [14.6 kB] Get: 439 http://deb.debian.org/debian bullseye/main amd64 libwayland-egl1 amd64 1.18.0-2~exp1.1 [8448 B] Get: 440 http://deb.debian.org/debian bullseye/main amd64 libxcomposite1 amd64 1:0.4.5-1 [16.6 kB] Get: 441 http://deb.debian.org/debian bullseye/main amd64 libxcursor1 amd64 1:1.2.0-2 [37.3 kB] Get: 442 http://deb.debian.org/debian bullseye/main amd64 libxinerama1 amd64 2:1.1.4-2 [17.7 kB] Get: 443 http://deb.debian.org/debian bullseye/main amd64 xkb-data all 2.29-2 [655 kB] Get: 444 http://deb.debian.org/debian bullseye/main amd64 libxkbcommon0 amd64 1.0.3-2 [101 kB] Get: 445 http://deb.debian.org/debian bullseye/main amd64 libxrandr2 amd64 2:1.5.1-1 [37.5 kB] Get: 446 http://deb.debian.org/debian bullseye/main amd64 libgtk-3-common all 3.24.24-4+deb11u3 [3757 kB] Get: 447 http://deb.debian.org/debian bullseye/main amd64 libgtk-3-0 amd64 3.24.24-4+deb11u3 [2716 kB] Get: 448 http://deb.debian.org/debian bullseye/main amd64 libhdf5-cpp-103-1 amd64 1.10.6+repack-4+deb11u1 [141 kB] Get: 449 http://deb.debian.org/debian bullseye/main amd64 libhdf5-fortran-102 amd64 1.10.6+repack-4+deb11u1 [105 kB] Get: 450 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-fortran-100 amd64 1.10.6+repack-4+deb11u1 [56.8 kB] Get: 451 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-cpp-100 amd64 1.10.6+repack-4+deb11u1 [37.7 kB] Get: 452 http://deb.debian.org/debian bullseye/main amd64 libjpeg62-turbo-dev amd64 1:2.0.6-4 [278 kB] Get: 453 http://deb.debian.org/debian bullseye/main amd64 libjpeg-dev amd64 1:2.0.6-4 [67.8 kB] Get: 454 http://deb.debian.org/debian bullseye/main amd64 libhdf5-dev amd64 1.10.6+repack-4+deb11u1 [2438 kB] Get: 455 http://deb.debian.org/debian bullseye/main amd64 libilmbase25 amd64 2.5.4-1 [202 kB] Get: 456 http://deb.debian.org/debian bullseye/main amd64 libilmbase-dev amd64 2.5.4-1 [160 kB] Get: 457 http://deb.debian.org/debian bullseye/main amd64 libimagequant0 amd64 2.12.2-1.1 [32.5 kB] Get: 458 http://deb.debian.org/debian bullseye/main amd64 libjbig-dev amd64 2.1-3.1+b2 [30.5 kB] Get: 459 http://deb.debian.org/debian bullseye/main amd64 libjs-jquery-ui all 1.12.1+dfsg-8+deb11u2 [232 kB] Get: 460 http://deb.debian.org/debian bullseye/main amd64 liblbfgsb0 amd64 3.0+dfsg.3-9 [28.5 kB] Get: 461 http://deb.debian.org/debian bullseye/main amd64 liblept5 amd64 1.79.0-1.1+deb11u1 [1027 kB] Get: 462 http://deb.debian.org/debian bullseye/main amd64 libleveldb1d amd64 1.22-3 [144 kB] Get: 463 http://deb.debian.org/debian bullseye/main amd64 libleveldb-dev amd64 1.22-3 [198 kB] Get: 464 http://deb.debian.org/debian bullseye/main amd64 liblmdb0 amd64 0.9.24-1 [45.0 kB] Get: 465 http://deb.debian.org/debian bullseye/main amd64 liblmdb-dev amd64 0.9.24-1 [61.0 kB] Get: 466 http://deb.debian.org/debian bullseye/main amd64 liblzf1 amd64 3.6-3 [10.2 kB] Get: 467 http://deb.debian.org/debian bullseye/main amd64 libtbb2 amd64 2020.3-1 [161 kB] Get: 468 http://deb.debian.org/debian bullseye/main amd64 libopencv-core4.5 amd64 4.5.1+dfsg-5 [1010 kB] Get: 469 http://deb.debian.org/debian bullseye/main amd64 libopencv-flann4.5 amd64 4.5.1+dfsg-5 [127 kB] Get: 470 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgproc4.5 amd64 4.5.1+dfsg-5 [1256 kB] Get: 471 http://deb.debian.org/debian bullseye/main amd64 libopencv-features2d4.5 amd64 4.5.1+dfsg-5 [269 kB] Get: 472 http://deb.debian.org/debian bullseye/main amd64 libopencv-calib3d4.5 amd64 4.5.1+dfsg-5 [677 kB] Get: 473 http://deb.debian.org/debian bullseye/main amd64 libtbb-dev amd64 2020.3-1 [313 kB] Get: 474 http://deb.debian.org/debian bullseye/main amd64 libopencv-core-dev amd64 4.5.1+dfsg-5 [1707 kB] Get: 475 http://deb.debian.org/debian bullseye/main amd64 libopencv-flann-dev amd64 4.5.1+dfsg-5 [204 kB] Get: 476 http://deb.debian.org/debian bullseye/main amd64 libopenexr25 amd64 2.5.4-2+deb11u1 [689 kB] Get: 477 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgcodecs4.5 amd64 4.5.1+dfsg-5 [136 kB] Get: 478 http://deb.debian.org/debian bullseye/main amd64 libopencv-highgui4.5 amd64 4.5.1+dfsg-5 [51.5 kB] Get: 479 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgproc-dev amd64 4.5.1+dfsg-5 [1646 kB] Get: 480 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgcodecs-dev amd64 4.5.1+dfsg-5 [195 kB] Get: 481 http://deb.debian.org/debian bullseye/main amd64 libswscale5 amd64 7:4.3.6-0+deb11u1 [211 kB] Get: 482 http://deb.debian.org/debian bullseye/main amd64 libopencv-videoio4.5 amd64 4.5.1+dfsg-5 [188 kB] Get: 483 http://deb.debian.org/debian bullseye/main amd64 libopencv-videoio-dev amd64 4.5.1+dfsg-5 [255 kB] Get: 484 http://deb.debian.org/debian bullseye/main amd64 libopenexr-dev amd64 2.5.4-2+deb11u1 [160 kB] Get: 485 http://deb.debian.org/debian bullseye/main amd64 libpng-dev amd64 1.6.37-3 [298 kB] Get: 486 http://deb.debian.org/debian bullseye/main amd64 libswscale-dev amd64 7:4.3.6-0+deb11u1 [231 kB] Get: 487 http://deb.debian.org/debian bullseye/main amd64 libtiffxx5 amd64 4.2.0-1+deb11u5 [129 kB] Get: 488 http://deb.debian.org/debian bullseye/main amd64 libtiff-dev amd64 4.2.0-1+deb11u5 [416 kB] Get: 489 http://deb.debian.org/debian bullseye/main amd64 libopencv-highgui-dev amd64 4.5.1+dfsg-5 [69.5 kB] Get: 490 http://deb.debian.org/debian bullseye/main amd64 libopencv-ml4.5 amd64 4.5.1+dfsg-5 [209 kB] Get: 491 http://deb.debian.org/debian bullseye/main amd64 libopencv-ml-dev amd64 4.5.1+dfsg-5 [285 kB] Get: 492 http://deb.debian.org/debian bullseye/main amd64 libopencv-features2d-dev amd64 4.5.1+dfsg-5 [348 kB] Get: 493 http://deb.debian.org/debian bullseye/main amd64 libopencv-calib3d-dev amd64 4.5.1+dfsg-5 [941 kB] Get: 494 http://deb.debian.org/debian bullseye/main amd64 libprotobuf23 amd64 3.12.4-1+deb11u1 [891 kB] Get: 495 http://deb.debian.org/debian bullseye/main amd64 libopencv-dnn4.5 amd64 4.5.1+dfsg-5 [902 kB] Get: 496 http://deb.debian.org/debian bullseye/main amd64 libopencv-objdetect4.5 amd64 4.5.1+dfsg-5 [172 kB] Get: 497 http://deb.debian.org/debian bullseye/main amd64 libopencv-video4.5 amd64 4.5.1+dfsg-5 [175 kB] Get: 498 http://deb.debian.org/debian bullseye/main amd64 libtesseract4 amd64 4.1.1-2.1 [1274 kB] Get: 499 http://deb.debian.org/debian bullseye/main amd64 libopencv-contrib4.5 amd64 4.5.1+dfsg-5 [3258 kB] Get: 500 http://deb.debian.org/debian bullseye/main amd64 libopencv-dnn-dev amd64 4.5.1+dfsg-5 [1306 kB] Get: 501 http://deb.debian.org/debian bullseye/main amd64 libopencv-objdetect-dev amd64 4.5.1+dfsg-5 [234 kB] Get: 502 http://deb.debian.org/debian bullseye/main amd64 libopencv-photo4.5 amd64 4.5.1+dfsg-5 [179 kB] Get: 503 http://deb.debian.org/debian bullseye/main amd64 libopencv-photo-dev amd64 4.5.1+dfsg-5 [217 kB] Get: 504 http://deb.debian.org/debian bullseye/main amd64 libopencv-shape4.5 amd64 4.5.1+dfsg-5 [65.5 kB] Get: 505 http://deb.debian.org/debian bullseye/main amd64 libopencv-video-dev amd64 4.5.1+dfsg-5 [230 kB] Get: 506 http://deb.debian.org/debian bullseye/main amd64 libopencv-shape-dev amd64 4.5.1+dfsg-5 [82.4 kB] Get: 507 http://deb.debian.org/debian bullseye/main amd64 libopencv-stitching4.5 amd64 4.5.1+dfsg-5 [201 kB] Get: 508 http://deb.debian.org/debian bullseye/main amd64 libopencv-stitching-dev amd64 4.5.1+dfsg-5 [260 kB] Get: 509 http://deb.debian.org/debian bullseye/main amd64 libopencv-superres4.5 amd64 4.5.1+dfsg-5 [61.2 kB] Get: 510 http://deb.debian.org/debian bullseye/main amd64 libopencv-superres-dev amd64 4.5.1+dfsg-5 [74.0 kB] Get: 511 http://deb.debian.org/debian bullseye/main amd64 libopencv-videostab4.5 amd64 4.5.1+dfsg-5 [91.0 kB] Get: 512 http://deb.debian.org/debian bullseye/main amd64 libopencv-videostab-dev amd64 4.5.1+dfsg-5 [119 kB] Get: 513 http://deb.debian.org/debian bullseye/main amd64 libopengl0 amd64 1.3.2-1 [31.5 kB] Get: 514 http://deb.debian.org/debian bullseye/main amd64 libtcl8.6 amd64 8.6.11+dfsg-1 [1018 kB] Get: 515 http://deb.debian.org/debian bullseye/main amd64 libxft2 amd64 2.3.2-2 [57.2 kB] Get: 516 http://deb.debian.org/debian bullseye/main amd64 libxss1 amd64 1:1.2.3-1 [17.8 kB] Get: 517 http://deb.debian.org/debian bullseye/main amd64 libtk8.6 amd64 8.6.11-2 [780 kB] Get: 518 http://deb.debian.org/debian bullseye/main amd64 libvtk9 amd64 9.0.1+dfsg1-8 [13.9 MB] Get: 519 http://deb.debian.org/debian bullseye/main amd64 libopencv-viz4.5 amd64 4.5.1+dfsg-5 [135 kB] Get: 520 http://deb.debian.org/debian bullseye/main amd64 libopencv-viz-dev amd64 4.5.1+dfsg-5 [184 kB] Get: 521 http://deb.debian.org/debian bullseye/main amd64 libopencv-contrib-dev amd64 4.5.1+dfsg-5 [4243 kB] Get: 522 http://deb.debian.org/debian bullseye/main amd64 libopencv-dev amd64 4.5.1+dfsg-5 [103 kB] Get: 523 http://deb.debian.org/debian bullseye/main amd64 libprotobuf-lite23 amd64 3.12.4-1+deb11u1 [242 kB] Get: 524 http://deb.debian.org/debian bullseye/main amd64 libprotobuf-dev amd64 3.12.4-1+deb11u1 [1234 kB] Get: 525 http://deb.debian.org/debian bullseye/main amd64 libprotoc23 amd64 3.12.4-1+deb11u1 [802 kB] Get: 526 http://deb.debian.org/debian bullseye/main amd64 libprotoc-dev amd64 3.12.4-1+deb11u1 [924 kB] Get: 527 http://deb.debian.org/debian bullseye/main amd64 libsnappy-dev amd64 1.1.8-1 [31.1 kB] Get: 528 http://deb.debian.org/debian bullseye/main amd64 libwebpdemux2 amd64 0.6.1-2.1+deb11u2 [87.8 kB] Get: 529 http://deb.debian.org/debian bullseye/main amd64 libyaml-0-2 amd64 0.2.2-1 [49.6 kB] Get: 530 http://deb.debian.org/debian bullseye/main amd64 protobuf-compiler amd64 3.12.4-1+deb11u1 [75.3 kB] Get: 531 http://deb.debian.org/debian bullseye/main amd64 python-matplotlib-data all 3.3.4-1 [4153 kB] Get: 532 http://deb.debian.org/debian bullseye/main amd64 python3-six all 1.16.0-2 [17.5 kB] Get: 533 http://deb.debian.org/debian bullseye/main amd64 python3-cycler all 0.10.0-3 [8084 B] Get: 534 http://deb.debian.org/debian bullseye/main amd64 python3-dateutil all 2.8.1-6 [79.2 kB] Get: 535 http://deb.debian.org/debian bullseye/main amd64 python3-gflags all 1.5.1-7 [36.2 kB] Get: 536 http://deb.debian.org/debian bullseye/main amd64 python3-numpy amd64 1:1.19.5-1 [2693 kB] Get: 537 http://deb.debian.org/debian bullseye/main amd64 python3-h5py-serial amd64 2.10.0-9+b2 [655 kB] Get: 538 http://deb.debian.org/debian bullseye/main amd64 python3-h5py all 2.10.0-9 [11.4 kB] Get: 539 http://deb.debian.org/debian bullseye/main amd64 python3-pil amd64 8.1.2+dfsg-0.3+deb11u2 [446 kB] Get: 540 http://deb.debian.org/debian bullseye/main amd64 python3-imageio all 2.4.1-3 [3137 kB] Get: 541 http://deb.debian.org/debian bullseye/main amd64 python3-kiwisolver amd64 1.3.1-1+b1 [55.7 kB] Get: 542 http://deb.debian.org/debian bullseye/main amd64 python3-pyparsing all 2.4.7-1 [109 kB] Get: 543 http://deb.debian.org/debian bullseye/main amd64 python3-matplotlib amd64 3.3.4-1 [4163 kB] Get: 544 http://deb.debian.org/debian bullseye/main amd64 python3-networkx all 2.5+ds-2 [900 kB] Get: 545 http://deb.debian.org/debian bullseye/main amd64 python3-nose all 1.3.7-7 [133 kB] Get: 546 http://deb.debian.org/debian bullseye/main amd64 python3-tz all 2021.1-1 [34.8 kB] Get: 547 http://deb.debian.org/debian bullseye/main amd64 python3-pandas-lib amd64 1.1.5+dfsg-2 [3287 kB] Get: 548 http://deb.debian.org/debian bullseye/main amd64 python3-pandas all 1.1.5+dfsg-2 [2096 kB] Get: 549 http://deb.debian.org/debian bullseye/main amd64 python3-protobuf amd64 3.12.4-1+deb11u1 [383 kB] Get: 550 http://deb.debian.org/debian bullseye/main amd64 python3-pydotplus all 2.0.2-3 [20.5 kB] Get: 551 http://deb.debian.org/debian bullseye/main amd64 python3-pywt amd64 1.1.1-1+b2 [975 kB] Get: 552 http://deb.debian.org/debian bullseye/main amd64 python3-scipy amd64 1.6.0-2 [12.3 MB] Get: 553 http://deb.debian.org/debian bullseye/main amd64 python3-skimage-lib amd64 0.18.1-2 [1920 kB] Get: 554 http://deb.debian.org/debian bullseye/main amd64 python3-tifffile all 20210201-1 [134 kB] Get: 555 http://deb.debian.org/debian bullseye/main amd64 python3-skimage all 0.18.1-2 [20.6 MB] Get: 556 http://deb.debian.org/debian bullseye/main amd64 python3-yaml amd64 5.3.1-5 [138 kB] Fetched 564 MB in 34s (16.7 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19711 files and directories currently installed.) Preparing to unpack .../0-libapparmor1_2.13.6-10_amd64.deb ... Unpacking libapparmor1:amd64 (2.13.6-10) ... Selecting previously unselected package libcap2:amd64. Preparing to unpack .../1-libcap2_1%3a2.44-1_amd64.deb ... Unpacking libcap2:amd64 (1:2.44-1) ... Selecting previously unselected package libargon2-1:amd64. Preparing to unpack .../2-libargon2-1_0~20171227-0.2_amd64.deb ... Unpacking libargon2-1:amd64 (0~20171227-0.2) ... Selecting previously unselected package dmsetup. Preparing to unpack .../3-dmsetup_2%3a1.02.175-2.1_amd64.deb ... Unpacking dmsetup (2:1.02.175-2.1) ... Selecting previously unselected package libdevmapper1.02.1:amd64. Preparing to unpack .../4-libdevmapper1.02.1_2%3a1.02.175-2.1_amd64.deb ... Unpacking libdevmapper1.02.1:amd64 (2:1.02.175-2.1) ... Selecting previously unselected package libjson-c5:amd64. Preparing to unpack .../5-libjson-c5_0.15-2+deb11u1_amd64.deb ... Unpacking libjson-c5:amd64 (0.15-2+deb11u1) ... Selecting previously unselected package libcryptsetup12:amd64. Preparing to unpack .../6-libcryptsetup12_2%3a2.3.7-1+deb11u1_amd64.deb ... Unpacking libcryptsetup12:amd64 (2:2.3.7-1+deb11u1) ... Selecting previously unselected package libip4tc2:amd64. Preparing to unpack .../7-libip4tc2_1.8.7-1_amd64.deb ... Unpacking libip4tc2:amd64 (1.8.7-1) ... Selecting previously unselected package libkmod2:amd64. Preparing to unpack .../8-libkmod2_28-1_amd64.deb ... Unpacking libkmod2:amd64 (28-1) ... Selecting previously unselected package systemd. Preparing to unpack .../9-systemd_247.3-7+deb11u5_amd64.deb ... Unpacking systemd (247.3-7+deb11u5) ... Setting up libapparmor1:amd64 (2.13.6-10) ... Setting up libcap2:amd64 (1:2.44-1) ... Setting up libargon2-1:amd64 (0~20171227-0.2) ... Setting up libjson-c5:amd64 (0.15-2+deb11u1) ... Setting up libip4tc2:amd64 (1.8.7-1) ... Setting up libkmod2:amd64 (28-1) ... Setting up libdevmapper1.02.1:amd64 (2:1.02.175-2.1) ... Setting up libcryptsetup12:amd64 (2:2.3.7-1+deb11u1) ... Setting up systemd (247.3-7+deb11u5) ... 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. 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Setting up libgtk-3-0:amd64 (3.24.24-4+deb11u3) ... Setting up libopencv-viz-dev:amd64 (4.5.1+dfsg-5) ... Setting up odbcinst (2.3.6-0.1+b1) ... Setting up odbcinst1debian2:amd64 (2.3.6-0.1+b1) ... Setting up libgdal28 (3.2.2+dfsg-2+deb11u2) ... Setting up libopencv-imgcodecs4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-imgcodecs-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-highgui4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videoio4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videoio-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videostab4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-contrib4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-highgui-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-features2d-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-calib3d-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-objdetect-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-superres4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-superres-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videostab-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-stitching-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-contrib-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-dev (4.5.1+dfsg-5) ... Processing triggers for libc-bin (2.31-13+deb11u10) ... Processing triggers for tex-common (6.16) ... Running updmap-sys. This may take some time... done. Running mktexlsr /var/lib/texmf ... done. Building format(s) --all. This may take some time... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps Reading package lists... Building dependency tree... Reading state information... fakeroot is already the newest version (1.25.3-1.1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/A99_set_merged_usr starting Not re-configuring usrmerge for bullseye I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/A99_set_merged_usr finished hostname: Name or service not known I: Running cd /build/reproducible-path/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 amd64 fakeroot debian/rules clean dh clean -Scmake --with python3,bash-completion debian/rules override_dh_auto_clean make[1]: Entering directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997' perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{x86_64-linux-gnu}g;' \ < debian/libcaffe-dev.install.in > debian/libcaffe-dev.install perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{x86_64-linux-gnu}g;' \ < debian/libcaffe1.install.in > debian/libcaffe1.install dh_auto_configure --builddirectory="caffe_cpu_build" \ -- -DALLOW_LMDB_NOLOCK=OFF -DBLAS="Generic" -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version="3" -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS="-g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX="/usr" -DCPU_ONLY=ON cd caffe_cpu_build && cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=None -DCMAKE_INSTALL_SYSCONFDIR=/etc -DCMAKE_INSTALL_LOCALSTATEDIR=/var -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_RUNSTATEDIR=/run -DCMAKE_SKIP_INSTALL_ALL_DEPENDENCY=ON "-GUnix Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON -DCMAKE_INSTALL_LIBDIR=lib/x86_64-linux-gnu -DALLOW_LMDB_NOLOCK=OFF -DBLAS=Generic -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version=3 -DCMAKE_BUILD_TYPE=Release "-DCMAKE_C_FLAGS=-g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX=/usr -DCPU_ONLY=ON .. -- The C compiler identification is GNU 10.2.1 -- The CXX compiler identification is GNU 10.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done CMake Warning (dev) at cmake/Misc.cmake:32 (set): implicitly converting 'BOOLEAN' to 'STRING' type. Call Stack (most recent call first): CMakeLists.txt:25 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.54") found components: system thread filesystem -- Found Threads: TRUE -- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so) -- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so) -- Found Protobuf: /usr/lib/x86_64-linux-gnu/libprotobuf.so;-lpthread (found version "3.12.4") -- Found PROTOBUF Compiler: /usr/bin/protoc -- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so;/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.so;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.10.6") found components: HL -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so) -- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so) -- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so) -- -- CUDA is disabled. Building without it... -- OpenCV found (/usr/lib/x86_64-linux-gnu/cmake/opencv4) -- Looking for sgemm_ -- Looking for sgemm_ - found -- Found BLAS: /usr/lib/x86_64-linux-gnu/libblas.so -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.9.2", minimum required is "3.0") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.9.so (found suitable version "3.9.2", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.19.5", minimum required is "1.7.1") -- NumPy ver. 1.19.5 found (include: /usr/lib/python3/dist-packages/numpy/core/include) -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.46") found components: python3 -- Could NOT find Git (missing: GIT_EXECUTABLE) -- -- ******************* Caffe Configuration Summary ******************* -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : OFF -- CPU_ONLY : ON -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Generic) -- Boost : Yes (ver. 1.74) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. ..) -- lmdb : Yes (ver. 0.9.24) -- LevelDB : Yes (ver. 1.22) -- Snappy : Yes (ver. 1.1.8) -- OpenCV : Yes (ver. 4.5.1) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.9.2) -- Libraries : /usr/lib/x86_64-linux-gnu/libpython3.9.so (ver 3.9.2) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.19.5) -- -- Install: -- Install path : /usr -- -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: USE_CUDNN -- Build files have been written to: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-arch make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all cd caffe_cpu_build && make -j20 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 caffe make[3]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 52 make -f CMakeFiles/Makefile2 src/caffe/CMakeFiles/caffe.dir/all make[4]: Entering directory '/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 0%] Running C++/Python protocol buffer compiler on /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E make_directory /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake" is 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Scanning dependencies of target caffeproto make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DUSE_HDF5 -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -P CMakeFiles/caffeproto.dir/cmake_clean_target.cmake cd /build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/absval_layer.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer_factory.cpp.o [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o cd 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CMakeFiles/caffe.dir/blob.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time 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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/cudnn_tanh_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_tanh_layer.cpp [ 28%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/data_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/data_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/data_layer.cpp [ 30%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/deconv_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/deconv_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/deconv_layer.cpp [ 30%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/dropout_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK 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object src/caffe/CMakeFiles/caffe.dir/layers/dummy_data_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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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/usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/eltwise_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/eltwise_layer.cpp [ 34%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/elu_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/elu_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/elu_layer.cpp /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/reproducible-path/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=] [ 34%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/embed_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK 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-isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/exp_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/exp_layer.cpp [ 38%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/filter_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/filter_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/filter_layer.cpp [ 38%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/flatten_layer.cpp.o cd /build/reproducible-path/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 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-I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/softmax_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_layer.cpp [ 69%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o cd /build/reproducible-path/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 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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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function 'bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)': /build/reproducible-path/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/reproducible-path/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/reproducible-path/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/reproducible-path/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 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/usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pycaffe make[3]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 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Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../lib/_caffe.so cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,_caffe.so -o ../lib/_caffe.so CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o ../lib/libcaffe.so.1.0.0 -lpython3.9 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 Creating symlink /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> 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make[4]: Entering directory '/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Scanning dependencies of target gtest make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe In file included from /usr/include/string.h:495, from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:2672:17, inlined from 'char* testing::internal::CloneString(const char*, size_t)' at /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: /usr/include/x86_64-linux-gnu/bits/string_fortified.h:106:34: warning: 'char* __builtin_strncpy(char*, const char*, long unsigned int)' output truncated before terminating nul copying as many bytes from a string as its length [-Wstringop-truncation] 106 | return __builtin___strncpy_chk (__dest, __src, __len, __bos (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_common.cpp.o [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_contrastive_loss_layer.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_concat_layer.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_convolution_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o [ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_crop_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp [ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_layer.cpp.o [ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_db.cpp.o [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_dummy_data_layer.cpp.o cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK 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/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 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directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[4]: Leaving directory '/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python 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Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/depend.internal". make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build Scanning dependencies of target extract_features make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/extract_features.dir/build.make 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/usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Linking CXX executable mnist/convert_mnist_data cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_mnist_data.dir/link.txt --verbose=1 [ 93%] Linking CXX executable siamese/convert_mnist_siamese_data cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_mnist_siamese_data.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/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 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/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Linking CXX executable cifar10/convert_cifar_data cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_cifar_data.dir/link.txt --verbose=1 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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, 1505449 bytes). Transcript written on refman.log. make[2]: Leaving directory '/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_test-arch make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ cd caffe_cpu_build && make -j20 test runtest pytest LD_LIBRARY_PATH=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j20 make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Nothing to be done for 'test'. /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/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 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/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 && /build/reproducible-path/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 30225 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (2296 ms) [----------] 1 test from LayerFactoryTest/1 (2296 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (13 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (80 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (44 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (7 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (42 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) [----------] 12 tests from ArgMaxLayerTest/1 (197 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (24 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (74 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (41 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (141 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (34 ms) [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (12 ms) [----------] 2 tests from InternalThreadTest (46 ms total) [----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/0.TestGradient [ OK ] InfogainLossLayerTest/0.TestGradient (2 ms) [ RUN ] InfogainLossLayerTest/0.TestInfogainLoss [ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/0 (2 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (9 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (9 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (1 ms) [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (11 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (7 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (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.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [----------] 27 tests from ReductionLayerTest/1 (45 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (37 ms) [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (26 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (6 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (6 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (12 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [----------] 10 tests from EltwiseLayerTest/1 (87 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (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.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (4 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (3 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (7 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (4 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (1 ms) [----------] 9 tests from AccuracyLayerTest/0 (17 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (874 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (62 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (464 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (447 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (24 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (38 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (178 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (237 ms) [----------] 8 tests from AdamSolverTest/1 (2324 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (32 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (15 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (9 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (17 ms) [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (1 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (22 ms) [----------] 10 tests from EltwiseLayerTest/0 (96 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.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (12 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (7 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (6 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (4 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [----------] 10 tests from ConcatLayerTest/0 (29 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (11 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (9 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (6 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (40 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (1 ms) [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (0 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (719 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (1421 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (8195 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (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.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [----------] 11 tests from CropLayerTest/0 (10336 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (0 ms) [ RUN ] GaussianFillerTest/1.TestFill5D [ OK ] GaussianFillerTest/1.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/1.TestFill1D [ OK ] GaussianFillerTest/1.TestFill1D (1 ms) [----------] 4 tests from GaussianFillerTest/1 (2 ms total) [----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/1.TestCreateSolver [ OK ] SolverFactoryTest/1.TestCreateSolver (1 ms) [----------] 1 test from SolverFactoryTest/1 (1 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (1 ms) [----------] 3 tests from DummyDataLayerTest/0 (1 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (19 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (69 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (16 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (667 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (418 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (51 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (10 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (63 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (370 ms) [----------] 9 tests from AdaGradSolverTest/0 (1719 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.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from UniformFillerTest/0 (1 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (575 ms) [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/1 (580 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (16 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (140 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (950 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (100 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (18 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (41 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (132 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (35 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (52 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (921 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (2428 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (1 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (158 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (1 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [----------] 12 tests from DataTransformTest/0 (159 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill5D [ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (1405 ms) [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (469 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (188 ms) [----------] 6 tests from MVNLayerTest/0 (2063 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (103 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (44 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (40 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (21 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (240 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (32 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (226 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (452 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (15 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (195 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (52 ms) [----------] 12 tests from NesterovSolverTest/1 (1442 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (22 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (200 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (58 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (72 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (17 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (112 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (213 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (186 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (192 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (50 ms) [----------] 12 tests from NesterovSolverTest/0 (1159 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (2 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (23 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (341 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (516 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (2864 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (227 ms) [----------] 6 tests from RNNLayerTest/0 (3990 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 (802 ms) [----------] 3 tests from FilterLayerTest/1 (808 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (2 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (3 ms) [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [----------] 3 tests from PaddingLayerUpgradeTest (11 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (4 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (15 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (14 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (8 ms) [----------] 10 tests from ConcatLayerTest/1 (71 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (113 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (67 ms) [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (98 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [----------] 6 tests from XavierFillerTest/0 (281 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (249 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (237 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (492 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (73 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (69 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (70 ms) [----------] 6 tests from MSRAFillerTest/0 (214 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [----------] 4 tests from BlobSimpleTest/1 (1 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (4 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/0 (9 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (1 ms) [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (303 ms) [----------] 2 tests from SoftmaxLayerTest/0 (304 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (3 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (4 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (4113 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [----------] 5 tests from SPPLayerTest/0 (4115 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (6 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1145 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (125 ms) [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (97 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (142 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (501 ms) [----------] 6 tests from RNNLayerTest/1 (2025 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (5 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (1 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (1 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (113 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (124 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (277 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (142 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (1 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (185 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (145 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (124 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) [----------] 20 tests from BiasLayerTest/0 (1121 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (4 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (5 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (266 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (629 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (659 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (388 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (72 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (32 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (316 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (226 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (59 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (52 ms) [----------] 12 tests from SGDSolverTest/0 (2730 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (1 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (9 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (15 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (14 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (46 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (1250 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (1004 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (1519 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (519 ms) [----------] 11 tests from PoolingLayerTest/0 (4303 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (498 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (1 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (2039 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (493 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [----------] 11 tests from CropLayerTest/1 (3038 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (248 ms) [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/1 (249 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (47 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (11 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (42 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [----------] 12 tests from ArgMaxLayerTest/0 (113 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (243 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (256 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (502 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (32 ms) [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (8 ms) [----------] 2 tests from HDF5DataLayerTest/0 (41 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (0 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (2 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (2 ms) [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (4 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (4 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [----------] 10 tests from PowerLayerTest/0 (20 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (5 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (5 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (4 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (5 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (2 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [----------] 10 tests from PowerLayerTest/1 (26 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (882 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (2097 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (606 ms) [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (1 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (3590 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (384 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 (388 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double [ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (0 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/1 (1 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (212 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (199 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (1 ms) [----------] 9 tests from InnerProductLayerTest/0 (414 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (127 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (161 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (154 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (112 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (285 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (124 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (253 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (4 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [----------] 20 tests from BiasLayerTest/1 (1240 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (171 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (69 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (82 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (85 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (252 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (170 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (32 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (42 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (22 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (954 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (1 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (1 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (9 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (1 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (3 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (2 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (9 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (3 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (3 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (9 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (1 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (1 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (1 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (3 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (2 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (6 ms) [----------] 26 tests from NetTest/0 (86 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (3721 ms) [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (511 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (1106 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (1 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (278 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (1257 ms) [----------] 8 tests from Im2colLayerTest/0 (6875 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (1 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (13 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (1 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (12 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (1 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (1 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (0 ms) [----------] 20 tests from FilterNetTest (30 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (258 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (16 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (32 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (351 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (158 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (141 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (29 ms) [----------] 8 tests from RMSPropSolverTest/0 (1011 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (1 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (59 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (435 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (1434 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (84 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (8 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (1 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (8423 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (590 ms) [----------] 9 tests from LSTMLayerTest/0 (11048 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (41 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) [----------] 5 tests from MemoryDataLayerTest/0 (49 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (13 ms) [----------] 1 test from HDF5OutputLayerTest/1 (13 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (12 ms) [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [----------] 3 tests from TanHLayerTest/1 (14 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (24 ms) [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (16 ms) [----------] 2 tests from BilinearFillerTest/0 (42 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 (74 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (16 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (73 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [----------] 8 tests from SliceLayerTest/0 (178 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (9 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (192 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (350 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (189 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (597 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (408 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (183 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (261 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (259 ms) [----------] 22 tests from ScaleLayerTest/1 (2474 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (459 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (6462 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (3785 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (10707 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (2210 ms) [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (2260 ms) [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (652 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (1 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (5334 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [----------] 11 tests from PoolingLayerTest/1 (10475 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (343 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (2002 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (1785 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [----------] 7 tests from TileLayerTest/0 (4148 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill5D [ OK ] ConstantFillerTest/0.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill2D [ OK ] ConstantFillerTest/0.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [----------] 4 tests from ConstantFillerTest/0 (1 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (89 ms) [----------] 1 test from LayerFactoryTest/0 (91 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from UniformFillerTest/1 (1 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (1 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (8 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 (1 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (149 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (92 ms) [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [----------] 5 tests from EmbedLayerTest/1 (241 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (1 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (1 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) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (6641 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (4835 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (4253 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (1 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [----------] 8 tests from LRNLayerTest/1 (15736 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 (8 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/1 (9 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (305 ms) [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (304 ms) [----------] 5 tests from BenchmarkTest/1 (612 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (8 ms) [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (2 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (105 ms) [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (5 ms) [----------] 4 tests from NetUpgradeTest (162 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (5 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [----------] 9 tests from AccuracyLayerTest/1 (38 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (661 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (2478 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (1 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (420 ms) [----------] 7 tests from TileLayerTest/1 (3560 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (56 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (152 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (285 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (20 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (35 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (114 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (298 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (21 ms) [----------] 8 tests from AdamSolverTest/0 (1011 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (1 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [----------] 27 tests from ReductionLayerTest/0 (80 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (404 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (646 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (325 ms) [----------] 6 tests from MSRAFillerTest/1 (1402 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [----------] 12 tests from DataTransformTest/1 (3 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (947 ms) [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [----------] 3 tests from FilterLayerTest/0 (953 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (5 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (18 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (60 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (34 ms) [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (5 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (34 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (61 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (379 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (984 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (785 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (1 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (966 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (1229 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (486 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (359 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (780 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (565 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (18 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [----------] 22 tests from ScaleLayerTest/0 (6246 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (84 ms) [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (224 ms) [----------] 2 tests from HDF5DataLayerTest/1 (308 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (705 ms) [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (218 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (233 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (220 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (115 ms) [----------] 5 tests from DBTest/0 (1492 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) [----------] 1 test from SolverTypeUpgradeTest (1 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) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (301 ms) [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (301 ms) [----------] 5 tests from BenchmarkTest/0 (602 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (114 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (39 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (213 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (192 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (36 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (70 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (58 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (120 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (270 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (59 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (63 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (44 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (799 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (139 ms) [----------] 14 tests from DataLayerTest/1 (2223 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (6 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (3 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (5 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (3 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (4 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (460 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (297 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [----------] 58 tests from NeuronLayerTest/1 (898 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (4527 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (207 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (51 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (74 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (119 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (61 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (149 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (49 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (141 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (37 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (41 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (41 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (24 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (105 ms) [----------] 14 tests from DataLayerTest/0 (5626 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (2 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (36 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (2 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (3 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (2 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (66 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (16 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (9 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (3 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (10 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (2 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (1 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (5 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (3 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (5 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (12 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (14 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (2 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (5 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (4 ms) [----------] 26 tests from NetTest/1 (276 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (89 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (1341 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (1771 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (2 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (74 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (466 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (43 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (2319 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (3 ms) [----------] 15 tests from ConvolutionLayerTest/0 (6150 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (1326 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (8396 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (5454 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (548 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (1390 ms) [----------] 8 tests from Im2colLayerTest/1 (17126 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (58 ms) [----------] 1 test from HDF5OutputLayerTest/0 (58 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (35 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (38 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (636 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (5632 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (4905 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (123 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (36 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (2487 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (142 ms) [----------] 15 tests from ConvolutionLayerTest/1 (14113 ms total) [----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/1.TestGradientL1 [ OK ] HingeLossLayerTest/1.TestGradientL1 (1 ms) [ RUN ] HingeLossLayerTest/1.TestGradientL2 [ OK ] HingeLossLayerTest/1.TestGradientL2 (1 ms) [----------] 2 tests from HingeLossLayerTest/1 (8 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 (1 ms) [----------] 1 test from ProtoTest (1 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (2 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 (5 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 (424 ms) [----------] 2 tests from BatchReindexLayerTest/0 (426 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (104 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (93 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (171 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (1 ms) [----------] 6 tests from XavierFillerTest/1 (381 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (4 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (1 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (367 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (1012 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (2283 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (7 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (15750 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (1165 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (220 ms) [----------] 9 tests from LSTMLayerTest/1 (20834 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 (17 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [----------] 4 tests from BlobSimpleTest/0 (3 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (1 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (14114 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [----------] 5 tests from SPPLayerTest/1 (14114 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (6 ms) [----------] 1 test from SolverTest/0 (7 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (5 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (3 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (1 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (9 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (1 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (2 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (35 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (39 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (16 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (1046 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (1 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (398 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (9 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) [----------] 58 tests from NeuronLayerTest/0 (1714 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (89 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (152 ms) [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (62 ms) [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (105 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (107 ms) [----------] 5 tests from DBTest/1 (536 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float [ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup [ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (271 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (448 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (603 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (207 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (9 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (50 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (108 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (269 ms) [----------] 8 tests from RMSPropSolverTest/1 (2012 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from GaussianFillerTest/0 (1 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (99 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (157 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (28 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [----------] 8 tests from SliceLayerTest/1 (285 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (1212 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (232 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (771 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (1 ms) [----------] 6 tests from MVNLayerTest/1 (2216 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (241 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (1051 ms) [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (256 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (443 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (969 ms) [----------] 5 tests from ImageDataLayerTest/1 (2960 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (695 ms) [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (1 ms) [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [----------] 3 tests from BatchNormLayerTest/1 (696 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (1 ms) [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (3 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (2 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (2 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (26 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (1 ms) [----------] 8 tests from SplitLayerInsertionTest (53 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (1 ms) [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (30 ms) [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/0 (33 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (7 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (4 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (3 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (59 ms) [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (3 ms) [----------] 5 tests from MemoryDataLayerTest/1 (77 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (35 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (45 ms) [----------] 5 tests from EmbedLayerTest/0 (81 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (1 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (11 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (1 ms) [----------] 12 tests from ReshapeLayerTest/1 (15 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (1 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (1226 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1967 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (4978 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (1 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) [----------] 8 tests from LRNLayerTest/0 (8175 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (30 ms) [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (14 ms) [----------] 2 tests from BilinearFillerTest/1 (44 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) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (10 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (10 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (257 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (1 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (240 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (499 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (4 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) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (21 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (566 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (105 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (721 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (28 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (68 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (131 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (586 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (498 ms) [----------] 9 tests from AdaGradSolverTest/1 (2727 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (1 ms) [----------] 2 tests from HingeLossLayerTest/0 (1 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (19 ms) [----------] 1 test from SolverTest/1 (19 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (557 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (146 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (264 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (623 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (612 ms) [----------] 5 tests from ImageDataLayerTest/0 (2221 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (159 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (103 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (154 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (125 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (591 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (167 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (444 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (531 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (253 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (157 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (258 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (552 ms) [----------] 12 tests from SGDSolverTest/1 (3520 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 (18 ms) [----------] 2 tests from InfogainLossLayerTest/1 (18 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (13 ms) [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [----------] 3 tests from TanHLayerTest/0 (13 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (57 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (42 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (15 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (33 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (76 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (32 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (45 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (44 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (88 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (137 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (23 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (31 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (4 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (3 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (13 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (91 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (36 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (97 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (24 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (92 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (20 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (37 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (1 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (37 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (55 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (83 ms) [----------] 26 tests from IOTest (1499 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (248216 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pytest make[3]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 CMakeFiles/pytest.dir/all make[4]: Entering directory '/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/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/reproducible-path/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 I0808 08:10:45.802243 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0808 08:10:45.808526 1317858 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I0808 08:10:45.808894 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0808 08:10:45.809064 1317858 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I0808 08:10:45.809269 1317858 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" } } I0808 08:10:45.809651 1317858 layer_factory.hpp:77] Creating layer deploy_data I0808 08:10:45.809815 1317858 net.cpp:86] Creating Layer deploy_data I0808 08:10:45.809916 1317858 net.cpp:382] deploy_data -> data I0808 08:10:45.810187 1317858 net.cpp:124] Setting up deploy_data I0808 08:10:45.810379 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.810487 1317858 net.cpp:139] Memory required for data: 400 I0808 08:10:45.810628 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:45.810791 1317858 net.cpp:86] Creating Layer ip I0808 08:10:45.810920 1317858 net.cpp:408] ip <- data I0808 08:10:45.811051 1317858 net.cpp:382] ip -> ip I0808 08:10:45.811203 1317858 net.cpp:124] Setting up ip I0808 08:10:45.811300 1317858 net.cpp:131] Top shape: 1 2 (2) I0808 08:10:45.811470 1317858 net.cpp:139] Memory required for data: 408 I0808 08:10:45.811605 1317858 layer_factory.hpp:77] Creating layer pred I0808 08:10:45.811734 1317858 net.cpp:86] Creating Layer pred I0808 08:10:45.811853 1317858 net.cpp:408] pred <- ip I0808 08:10:45.812003 1317858 net.cpp:382] pred -> pred I0808 08:10:45.812348 1317858 net.cpp:124] Setting up pred I0808 08:10:45.813333 1317858 net.cpp:131] Top shape: 1 2 (2) I0808 08:10:45.813486 1317858 net.cpp:139] Memory required for data: 416 I0808 08:10:45.813648 1317858 net.cpp:202] pred does not need backward computation. I0808 08:10:45.813771 1317858 net.cpp:202] ip does not need backward computation. I0808 08:10:45.814003 1317858 net.cpp:202] deploy_data does not need backward computation. I0808 08:10:45.814172 1317858 net.cpp:244] This network produces output pred I0808 08:10:45.814337 1317858 net.cpp:257] Network initialization done. .I0808 08:10:45.817750 1317858 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I0808 08:10:45.820187 1317858 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I0808 08:10:45.820426 1317858 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I0808 08:10:45.820546 1317858 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" } } I0808 08:10:45.825327 1317858 layer_factory.hpp:77] Creating layer train_data I0808 08:10:45.825615 1317858 net.cpp:86] Creating Layer train_data I0808 08:10:45.825711 1317858 net.cpp:382] train_data -> data I0808 08:10:45.825836 1317858 net.cpp:382] train_data -> label I0808 08:10:45.826013 1317858 net.cpp:124] Setting up train_data I0808 08:10:45.826139 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.826406 1317858 net.cpp:131] Top shape: 1 1 1 1 (1) I0808 08:10:45.826519 1317858 net.cpp:139] Memory required for data: 404 I0808 08:10:45.826651 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:45.826761 1317858 net.cpp:86] Creating Layer ip I0808 08:10:45.826916 1317858 net.cpp:408] ip <- data I0808 08:10:45.827066 1317858 net.cpp:382] ip -> ip I0808 08:10:45.827196 1317858 net.cpp:124] Setting up ip I0808 08:10:45.827293 1317858 net.cpp:131] Top shape: 1 2 (2) I0808 08:10:45.827430 1317858 net.cpp:139] Memory required for data: 412 I0808 08:10:45.827584 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.827723 1317858 net.cpp:86] Creating Layer loss I0808 08:10:45.827816 1317858 net.cpp:408] loss <- ip I0808 08:10:45.827937 1317858 net.cpp:408] loss <- label I0808 08:10:45.828104 1317858 net.cpp:382] loss -> loss I0808 08:10:45.828243 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.828405 1317858 net.cpp:124] Setting up loss I0808 08:10:45.828521 1317858 net.cpp:131] Top shape: (1) I0808 08:10:45.828658 1317858 net.cpp:134] with loss weight 1 I0808 08:10:45.828845 1317858 net.cpp:139] Memory required for data: 416 I0808 08:10:45.831400 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:45.831605 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:45.831740 1317858 net.cpp:202] train_data does not need backward computation. I0808 08:10:45.831841 1317858 net.cpp:244] This network produces output loss I0808 08:10:45.832051 1317858 net.cpp:257] Network initialization done. .I0808 08:10:45.842738 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0808 08:10:45.843205 1317858 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I0808 08:10:45.843350 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0808 08:10:45.843605 1317858 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I0808 08:10:45.843725 1317858 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" } } I0808 08:10:45.844086 1317858 layer_factory.hpp:77] Creating layer val_data I0808 08:10:45.844271 1317858 net.cpp:86] Creating Layer val_data I0808 08:10:45.844413 1317858 net.cpp:382] val_data -> data I0808 08:10:45.844595 1317858 net.cpp:382] val_data -> label I0808 08:10:45.844743 1317858 net.cpp:124] Setting up val_data I0808 08:10:45.844856 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.845001 1317858 net.cpp:131] Top shape: 1 1 1 1 (1) I0808 08:10:45.845099 1317858 net.cpp:139] Memory required for data: 404 I0808 08:10:45.845191 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:45.845329 1317858 net.cpp:86] Creating Layer ip I0808 08:10:45.845494 1317858 net.cpp:408] ip <- data I0808 08:10:45.845634 1317858 net.cpp:382] ip -> ip I0808 08:10:45.846057 1317858 net.cpp:124] Setting up ip I0808 08:10:45.846246 1317858 net.cpp:131] Top shape: 1 2 (2) I0808 08:10:45.846357 1317858 net.cpp:139] Memory required for data: 412 I0808 08:10:45.846493 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.846693 1317858 net.cpp:86] Creating Layer loss I0808 08:10:45.846988 1317858 net.cpp:408] loss <- ip I0808 08:10:45.847117 1317858 net.cpp:408] loss <- label I0808 08:10:45.847275 1317858 net.cpp:382] loss -> loss I0808 08:10:45.847421 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.847533 1317858 net.cpp:124] Setting up loss I0808 08:10:45.847625 1317858 net.cpp:131] Top shape: (1) I0808 08:10:45.847733 1317858 net.cpp:134] with loss weight 1 I0808 08:10:45.847872 1317858 net.cpp:139] Memory required for data: 416 I0808 08:10:45.847965 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:45.848085 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:45.853066 1317858 net.cpp:202] val_data does not need backward computation. I0808 08:10:45.853367 1317858 net.cpp:244] This network produces output loss I0808 08:10:45.853472 1317858 net.cpp:257] Network initialization done. .I0808 08:10:45.874003 1317858 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I0808 08:10:45.874650 1317858 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I0808 08:10:45.874830 1317858 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 } } I0808 08:10:45.875396 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:45.875540 1317858 net.cpp:86] Creating Layer data I0808 08:10:45.875814 1317858 net.cpp:382] data -> data I0808 08:10:45.876030 1317858 net.cpp:124] Setting up data I0808 08:10:45.876216 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.876400 1317858 net.cpp:139] Memory required for data: 400 I0808 08:10:45.876495 1317858 layer_factory.hpp:77] Creating layer data_data_0_split I0808 08:10:45.876667 1317858 net.cpp:86] Creating Layer data_data_0_split I0808 08:10:45.876785 1317858 net.cpp:408] data_data_0_split <- data I0808 08:10:45.877014 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0808 08:10:45.877183 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0808 08:10:45.877629 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0808 08:10:45.877795 1317858 net.cpp:124] Setting up data_data_0_split I0808 08:10:45.877925 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.878078 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.878234 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.878345 1317858 net.cpp:139] Memory required for data: 1600 I0808 08:10:45.878482 1317858 layer_factory.hpp:77] Creating layer NoLevel I0808 08:10:45.878609 1317858 net.cpp:86] Creating Layer NoLevel I0808 08:10:45.878731 1317858 net.cpp:408] NoLevel <- data_data_0_split_0 I0808 08:10:45.878886 1317858 net.cpp:382] NoLevel -> NoLevel I0808 08:10:45.879140 1317858 net.cpp:124] Setting up NoLevel I0808 08:10:45.880178 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:45.880373 1317858 net.cpp:139] Memory required for data: 1604 I0808 08:10:45.880508 1317858 layer_factory.hpp:77] Creating layer Level0Only I0808 08:10:45.880645 1317858 net.cpp:86] Creating Layer Level0Only I0808 08:10:45.880805 1317858 net.cpp:408] Level0Only <- data_data_0_split_1 I0808 08:10:45.880925 1317858 net.cpp:382] Level0Only -> Level0Only I0808 08:10:45.881095 1317858 net.cpp:124] Setting up Level0Only I0808 08:10:45.881206 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:45.881356 1317858 net.cpp:139] Memory required for data: 1608 I0808 08:10:45.881556 1317858 layer_factory.hpp:77] Creating layer Level>=0 I0808 08:10:45.882305 1317858 net.cpp:86] Creating Layer Level>=0 I0808 08:10:45.882484 1317858 net.cpp:408] Level>=0 <- data_data_0_split_2 I0808 08:10:45.882661 1317858 net.cpp:382] Level>=0 -> Level>=0 I0808 08:10:45.883015 1317858 net.cpp:124] Setting up Level>=0 I0808 08:10:45.888149 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:45.888535 1317858 net.cpp:139] Memory required for data: 1612 I0808 08:10:45.888703 1317858 net.cpp:202] Level>=0 does not need backward computation. I0808 08:10:45.888825 1317858 net.cpp:202] Level0Only does not need backward computation. I0808 08:10:45.888947 1317858 net.cpp:202] NoLevel does not need backward computation. I0808 08:10:45.889185 1317858 net.cpp:202] data_data_0_split does not need backward computation. I0808 08:10:45.889341 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:45.889469 1317858 net.cpp:244] This network produces output Level0Only I0808 08:10:45.889632 1317858 net.cpp:244] This network produces output Level>=0 I0808 08:10:45.889796 1317858 net.cpp:244] This network produces output NoLevel I0808 08:10:45.889963 1317858 net.cpp:257] Network initialization done. .I0808 08:10:45.899142 1317858 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I0808 08:10:45.899555 1317858 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 } } I0808 08:10:45.899962 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:45.900231 1317858 net.cpp:86] Creating Layer data I0808 08:10:45.900987 1317858 net.cpp:382] data -> data I0808 08:10:45.901166 1317858 net.cpp:124] Setting up data I0808 08:10:45.901281 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.901415 1317858 net.cpp:139] Memory required for data: 400 I0808 08:10:45.901589 1317858 layer_factory.hpp:77] Creating layer data_data_0_split I0808 08:10:45.901729 1317858 net.cpp:86] Creating Layer data_data_0_split I0808 08:10:45.901906 1317858 net.cpp:408] data_data_0_split <- data I0808 08:10:45.902181 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0808 08:10:45.902330 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0808 08:10:45.902473 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0808 08:10:45.902654 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0808 08:10:45.902798 1317858 net.cpp:124] Setting up data_data_0_split I0808 08:10:45.902973 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.903110 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.903299 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.903424 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:45.903604 1317858 net.cpp:139] Memory required for data: 2000 I0808 08:10:45.903698 1317858 layer_factory.hpp:77] Creating layer NoLevel I0808 08:10:45.903853 1317858 net.cpp:86] Creating Layer NoLevel I0808 08:10:45.908160 1317858 net.cpp:408] NoLevel <- data_data_0_split_0 I0808 08:10:45.908571 1317858 net.cpp:382] NoLevel -> NoLevel I0808 08:10:45.908754 1317858 net.cpp:124] Setting up NoLevel I0808 08:10:45.908952 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:45.909085 1317858 net.cpp:139] Memory required for data: 2004 I0808 08:10:45.909313 1317858 layer_factory.hpp:77] Creating layer Level1Only I0808 08:10:45.909847 1317858 net.cpp:86] Creating Layer Level1Only I0808 08:10:45.909971 1317858 net.cpp:408] Level1Only <- data_data_0_split_1 I0808 08:10:45.910133 1317858 net.cpp:382] Level1Only -> Level1Only I0808 08:10:45.910396 1317858 net.cpp:124] Setting up Level1Only I0808 08:10:45.916441 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:45.916869 1317858 net.cpp:139] Memory required for data: 2008 I0808 08:10:45.917028 1317858 layer_factory.hpp:77] Creating layer Level>=0 I0808 08:10:45.917232 1317858 net.cpp:86] Creating Layer Level>=0 I0808 08:10:45.917349 1317858 net.cpp:408] Level>=0 <- data_data_0_split_2 I0808 08:10:45.917557 1317858 net.cpp:382] Level>=0 -> Level>=0 I0808 08:10:45.917768 1317858 net.cpp:124] Setting up Level>=0 I0808 08:10:45.917881 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:45.917994 1317858 net.cpp:139] Memory required for data: 2012 I0808 08:10:45.918157 1317858 layer_factory.hpp:77] Creating layer Level>=1 I0808 08:10:45.918326 1317858 net.cpp:86] Creating Layer Level>=1 I0808 08:10:45.918452 1317858 net.cpp:408] Level>=1 <- data_data_0_split_3 I0808 08:10:45.918641 1317858 net.cpp:382] Level>=1 -> Level>=1 I0808 08:10:45.918823 1317858 net.cpp:124] Setting up Level>=1 I0808 08:10:45.918989 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:45.919112 1317858 net.cpp:139] Memory required for data: 2016 I0808 08:10:45.919246 1317858 net.cpp:202] Level>=1 does not need backward computation. I0808 08:10:45.919418 1317858 net.cpp:202] Level>=0 does not need backward computation. I0808 08:10:45.919545 1317858 net.cpp:202] Level1Only does not need backward computation. I0808 08:10:45.919709 1317858 net.cpp:202] NoLevel does not need backward computation. I0808 08:10:45.919876 1317858 net.cpp:202] data_data_0_split does not need backward computation. I0808 08:10:45.920064 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:45.920172 1317858 net.cpp:244] This network produces output Level1Only I0808 08:10:45.920284 1317858 net.cpp:244] This network produces output Level>=0 I0808 08:10:45.920436 1317858 net.cpp:244] This network produces output Level>=1 I0808 08:10:45.920594 1317858 net.cpp:244] This network produces output NoLevel I0808 08:10:45.920727 1317858 net.cpp:257] Network initialization done. .I0808 08:10:45.923002 1317858 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" } I0808 08:10:45.928344 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:45.928789 1317858 net.cpp:86] Creating Layer data I0808 08:10:45.928920 1317858 net.cpp:382] data -> data I0808 08:10:45.929064 1317858 net.cpp:382] data -> label I0808 08:10:45.931703 1317858 net.cpp:124] Setting up data I0808 08:10:45.931927 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:45.932104 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:45.932238 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:45.932408 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:45.932552 1317858 net.cpp:86] Creating Layer conv I0808 08:10:45.932770 1317858 net.cpp:408] conv <- data I0808 08:10:45.932927 1317858 net.cpp:382] conv -> conv I0808 08:10:45.933202 1317858 net.cpp:124] Setting up conv I0808 08:10:45.933763 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:45.933948 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:45.934084 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:45.934232 1317858 net.cpp:86] Creating Layer ip I0808 08:10:45.934348 1317858 net.cpp:408] ip <- conv I0808 08:10:45.934507 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:45.934880 1317858 net.cpp:124] Setting up ip I0808 08:10:45.935040 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:45.935150 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:45.935302 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.935415 1317858 net.cpp:86] Creating Layer loss I0808 08:10:45.935556 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:45.935679 1317858 net.cpp:408] loss <- label I0808 08:10:45.935824 1317858 net.cpp:382] loss -> loss I0808 08:10:45.935961 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.936321 1317858 net.cpp:124] Setting up loss I0808 08:10:45.936465 1317858 net.cpp:131] Top shape: (1) I0808 08:10:45.936599 1317858 net.cpp:134] with loss weight 1 I0808 08:10:45.937683 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:45.937841 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:45.937978 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:45.938196 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:45.938364 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:45.938491 1317858 net.cpp:244] This network produces output loss I0808 08:10:45.938644 1317858 net.cpp:257] Network initialization done. .I0808 08:10:45.961333 1317858 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" } I0808 08:10:45.961961 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:45.962107 1317858 net.cpp:86] Creating Layer data I0808 08:10:45.962307 1317858 net.cpp:382] data -> data I0808 08:10:45.962478 1317858 net.cpp:382] data -> label I0808 08:10:45.962653 1317858 net.cpp:124] Setting up data I0808 08:10:45.962776 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:45.963001 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:45.963127 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:45.963297 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:45.963449 1317858 net.cpp:86] Creating Layer conv I0808 08:10:45.968137 1317858 net.cpp:408] conv <- data I0808 08:10:45.968560 1317858 net.cpp:382] conv -> conv I0808 08:10:45.968786 1317858 net.cpp:124] Setting up conv I0808 08:10:45.968904 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:45.970748 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:45.970942 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:45.971087 1317858 net.cpp:86] Creating Layer ip I0808 08:10:45.971237 1317858 net.cpp:408] ip <- conv I0808 08:10:45.971401 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:45.971761 1317858 net.cpp:124] Setting up ip I0808 08:10:45.971916 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:45.972066 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:45.972235 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.972390 1317858 net.cpp:86] Creating Layer loss I0808 08:10:45.972548 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:45.972659 1317858 net.cpp:408] loss <- label I0808 08:10:45.972810 1317858 net.cpp:382] loss -> loss I0808 08:10:45.973012 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.973196 1317858 net.cpp:124] Setting up loss I0808 08:10:45.973309 1317858 net.cpp:131] Top shape: (1) I0808 08:10:45.973452 1317858 net.cpp:134] with loss weight 1 I0808 08:10:45.973637 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:45.973785 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:45.973899 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:45.974049 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:45.974224 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:45.974354 1317858 net.cpp:244] This network produces output loss I0808 08:10:45.974488 1317858 net.cpp:257] Network initialization done. .I0808 08:10:45.985659 1317858 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" } I0808 08:10:45.986219 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:45.986328 1317858 net.cpp:86] Creating Layer data I0808 08:10:45.986429 1317858 net.cpp:382] data -> data I0808 08:10:45.986590 1317858 net.cpp:382] data -> label I0808 08:10:45.986735 1317858 net.cpp:124] Setting up data I0808 08:10:45.986831 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:45.986994 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:45.987082 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:45.987169 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:45.987676 1317858 net.cpp:86] Creating Layer conv I0808 08:10:45.987800 1317858 net.cpp:408] conv <- data I0808 08:10:45.987901 1317858 net.cpp:382] conv -> conv I0808 08:10:45.988283 1317858 net.cpp:124] Setting up conv I0808 08:10:45.988459 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:45.988579 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:45.988703 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:45.988863 1317858 net.cpp:86] Creating Layer ip I0808 08:10:45.988961 1317858 net.cpp:408] ip <- conv I0808 08:10:45.989070 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:45.989431 1317858 net.cpp:124] Setting up ip I0808 08:10:45.989811 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:45.989984 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:45.990130 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.990247 1317858 net.cpp:86] Creating Layer loss I0808 08:10:45.990420 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:45.990522 1317858 net.cpp:408] loss <- label I0808 08:10:45.990687 1317858 net.cpp:382] loss -> loss I0808 08:10:45.990805 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:45.991148 1317858 net.cpp:124] Setting up loss I0808 08:10:45.991274 1317858 net.cpp:131] Top shape: (1) I0808 08:10:45.991369 1317858 net.cpp:134] with loss weight 1 I0808 08:10:45.991484 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:45.991611 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:45.991737 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:45.991885 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:45.992023 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:45.992180 1317858 net.cpp:244] This network produces output loss I0808 08:10:45.992292 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.006162 1317858 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" } I0808 08:10:46.012296 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.012660 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.012763 1317858 net.cpp:382] data -> data I0808 08:10:46.012912 1317858 net.cpp:382] data -> label I0808 08:10:46.013114 1317858 net.cpp:124] Setting up data I0808 08:10:46.013227 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.013386 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.013492 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.020121 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.020596 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.020721 1317858 net.cpp:408] conv <- data I0808 08:10:46.021378 1317858 net.cpp:382] conv -> conv I0808 08:10:46.021673 1317858 net.cpp:124] Setting up conv I0808 08:10:46.021786 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.021982 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.022122 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.022290 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.022398 1317858 net.cpp:408] ip <- conv I0808 08:10:46.022565 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.022975 1317858 net.cpp:124] Setting up ip I0808 08:10:46.023108 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.023240 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.023476 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.028270 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.028827 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.028941 1317858 net.cpp:408] loss <- label I0808 08:10:46.029065 1317858 net.cpp:382] loss -> loss I0808 08:10:46.029328 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.029572 1317858 net.cpp:124] Setting up loss I0808 08:10:46.029716 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.029861 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.030117 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.030237 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.030398 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.030514 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.030663 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.030782 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.030943 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.035920 1317858 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" } I0808 08:10:46.040446 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.040797 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.040953 1317858 net.cpp:382] data -> data I0808 08:10:46.041152 1317858 net.cpp:382] data -> label I0808 08:10:46.041371 1317858 net.cpp:124] Setting up data I0808 08:10:46.041496 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.041620 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.041782 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.041893 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.042233 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.050700 1317858 net.cpp:408] conv <- data I0808 08:10:46.051098 1317858 net.cpp:382] conv -> conv I0808 08:10:46.051409 1317858 net.cpp:124] Setting up conv I0808 08:10:46.051544 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.051688 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.051826 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.051928 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.052103 1317858 net.cpp:408] ip <- conv I0808 08:10:46.052207 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.052546 1317858 net.cpp:124] Setting up ip I0808 08:10:46.052656 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.052753 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.052847 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.052946 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.053061 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.053174 1317858 net.cpp:408] loss <- label I0808 08:10:46.053263 1317858 net.cpp:382] loss -> loss I0808 08:10:46.053426 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.053603 1317858 net.cpp:124] Setting up loss I0808 08:10:46.060068 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.060442 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.060571 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.060678 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.060792 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.061745 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.061902 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.066702 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.067062 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.069921 1317858 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" } I0808 08:10:46.070508 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.070663 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.070806 1317858 net.cpp:382] data -> data I0808 08:10:46.071024 1317858 net.cpp:382] data -> label I0808 08:10:46.071178 1317858 net.cpp:124] Setting up data I0808 08:10:46.071398 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.071534 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.071707 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.071836 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.072090 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.072552 1317858 net.cpp:408] conv <- data I0808 08:10:46.072681 1317858 net.cpp:382] conv -> conv I0808 08:10:46.072854 1317858 net.cpp:124] Setting up conv I0808 08:10:46.073001 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.073096 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.073211 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.073365 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.073544 1317858 net.cpp:408] ip <- conv I0808 08:10:46.073647 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.073984 1317858 net.cpp:124] Setting up ip I0808 08:10:46.074190 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.074316 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.074440 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.074558 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.074705 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.074848 1317858 net.cpp:408] loss <- label I0808 08:10:46.074950 1317858 net.cpp:382] loss -> loss I0808 08:10:46.075090 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.075228 1317858 net.cpp:124] Setting up loss I0808 08:10:46.075322 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.075410 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.075567 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.075685 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.075850 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.077381 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.077565 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.077682 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.077837 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.085810 1317858 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" } I0808 08:10:46.087493 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.087674 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.087806 1317858 net.cpp:382] data -> data I0808 08:10:46.087932 1317858 net.cpp:382] data -> label I0808 08:10:46.088254 1317858 net.cpp:124] Setting up data I0808 08:10:46.089032 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.089177 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.089278 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.089397 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.089511 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.089681 1317858 net.cpp:408] conv <- data I0808 08:10:46.089823 1317858 net.cpp:382] conv -> conv I0808 08:10:46.089993 1317858 net.cpp:124] Setting up conv I0808 08:10:46.092118 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.092324 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.092485 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.092593 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.097699 1317858 net.cpp:408] ip <- conv I0808 08:10:46.097992 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.098400 1317858 net.cpp:124] Setting up ip I0808 08:10:46.098989 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.099114 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.099233 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.099339 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.099465 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.099665 1317858 net.cpp:408] loss <- label I0808 08:10:46.099807 1317858 net.cpp:382] loss -> loss I0808 08:10:46.099939 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.100183 1317858 net.cpp:124] Setting up loss I0808 08:10:46.100306 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.100466 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.100603 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.100775 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.100911 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.101078 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.101186 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.101322 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.101454 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.113448 1317858 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" } I0808 08:10:46.114184 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.114306 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.114472 1317858 net.cpp:382] data -> data I0808 08:10:46.114596 1317858 net.cpp:382] data -> label I0808 08:10:46.114761 1317858 net.cpp:124] Setting up data I0808 08:10:46.114882 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.115026 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.115101 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.115204 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.115355 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.115491 1317858 net.cpp:408] conv <- data I0808 08:10:46.115594 1317858 net.cpp:382] conv -> conv I0808 08:10:46.115792 1317858 net.cpp:124] Setting up conv I0808 08:10:46.115887 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.116043 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.116204 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.116341 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.116461 1317858 net.cpp:408] ip <- conv I0808 08:10:46.116616 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.117004 1317858 net.cpp:124] Setting up ip I0808 08:10:46.117125 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.117234 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.117350 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.117492 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.117640 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.117746 1317858 net.cpp:408] loss <- label I0808 08:10:46.118655 1317858 net.cpp:382] loss -> loss I0808 08:10:46.118830 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.119005 1317858 net.cpp:124] Setting up loss I0808 08:10:46.119177 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.119328 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.119479 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.119622 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.119752 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.119928 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.120092 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.120280 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.120407 1317858 net.cpp:257] Network initialization done. W0808 08:10:46.123099 1317858 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W0808 08:10:46.132086 1317858 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W0808 08:10:46.132445 1317858 _caffe.cpp:142] Net('/tmp/tmp9ngcvl33', 0, weights='/tmp/tmpdof_8lw8') I0808 08:10:46.133090 1317858 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" } I0808 08:10:46.133612 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.133783 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.133909 1317858 net.cpp:382] data -> data I0808 08:10:46.134068 1317858 net.cpp:382] data -> label I0808 08:10:46.134292 1317858 net.cpp:124] Setting up data I0808 08:10:46.134410 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.134625 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.134733 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.134903 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.135104 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.135233 1317858 net.cpp:408] conv <- data I0808 08:10:46.135381 1317858 net.cpp:382] conv -> conv I0808 08:10:46.135618 1317858 net.cpp:124] Setting up conv I0808 08:10:46.135823 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.135932 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.136199 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.136327 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.136425 1317858 net.cpp:408] ip <- conv I0808 08:10:46.136571 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.136878 1317858 net.cpp:124] Setting up ip I0808 08:10:46.136963 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.137054 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.137148 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.137272 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.137391 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.137485 1317858 net.cpp:408] loss <- label I0808 08:10:46.137578 1317858 net.cpp:382] loss -> loss I0808 08:10:46.137705 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.137849 1317858 net.cpp:124] Setting up loss I0808 08:10:46.137940 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.138051 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.138159 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.138245 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.138366 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.138479 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.138569 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.138654 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.138773 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.141522 1317858 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" } I0808 08:10:46.148252 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.148644 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.148761 1317858 net.cpp:382] data -> data I0808 08:10:46.148967 1317858 net.cpp:382] data -> label I0808 08:10:46.149159 1317858 net.cpp:124] Setting up data I0808 08:10:46.149283 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.149397 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.149544 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.149662 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.149857 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.149962 1317858 net.cpp:408] conv <- data I0808 08:10:46.150135 1317858 net.cpp:382] conv -> conv I0808 08:10:46.150380 1317858 net.cpp:124] Setting up conv I0808 08:10:46.150481 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.150588 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.150738 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.150882 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.150983 1317858 net.cpp:408] ip <- conv I0808 08:10:46.151090 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.151500 1317858 net.cpp:124] Setting up ip I0808 08:10:46.151618 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.151721 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.151834 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.152019 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.152172 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.152293 1317858 net.cpp:408] loss <- label I0808 08:10:46.152416 1317858 net.cpp:382] loss -> loss I0808 08:10:46.152582 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.152752 1317858 net.cpp:124] Setting up loss I0808 08:10:46.152859 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.152968 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.153163 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.153270 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.153404 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.153549 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.153717 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.153832 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.153983 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.170317 1317858 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" } I0808 08:10:46.172454 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.172801 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.172912 1317858 net.cpp:382] data -> data I0808 08:10:46.173089 1317858 net.cpp:382] data -> label I0808 08:10:46.173405 1317858 net.cpp:124] Setting up data I0808 08:10:46.173537 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.173645 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.180258 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.180553 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.180717 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.180840 1317858 net.cpp:408] conv <- data I0808 08:10:46.180981 1317858 net.cpp:382] conv -> conv I0808 08:10:46.181270 1317858 net.cpp:124] Setting up conv I0808 08:10:46.181473 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.181625 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.181756 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.181916 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.182005 1317858 net.cpp:408] ip <- conv I0808 08:10:46.182166 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.182538 1317858 net.cpp:124] Setting up ip I0808 08:10:46.188169 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.192046 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.192322 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.192453 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.192606 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.192770 1317858 net.cpp:408] loss <- label I0808 08:10:46.192888 1317858 net.cpp:382] loss -> loss I0808 08:10:46.193025 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.193205 1317858 net.cpp:124] Setting up loss I0808 08:10:46.193315 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.193454 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.193624 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.193756 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.193862 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.193994 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.194101 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.194231 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.194340 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.198515 1317858 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" } I0808 08:10:46.208722 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.209319 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.209699 1317858 net.cpp:382] data -> data I0808 08:10:46.209880 1317858 net.cpp:382] data -> label I0808 08:10:46.210127 1317858 net.cpp:124] Setting up data I0808 08:10:46.210275 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.210434 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.210626 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.210760 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.211007 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.211130 1317858 net.cpp:408] conv <- data I0808 08:10:46.211331 1317858 net.cpp:382] conv -> conv I0808 08:10:46.211558 1317858 net.cpp:124] Setting up conv I0808 08:10:46.211664 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.211761 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.211896 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.212096 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.212190 1317858 net.cpp:408] ip <- conv I0808 08:10:46.212284 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.212643 1317858 net.cpp:124] Setting up ip I0808 08:10:46.212759 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.212874 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.213001 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.213165 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.213300 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.213451 1317858 net.cpp:408] loss <- label I0808 08:10:46.213605 1317858 net.cpp:382] loss -> loss I0808 08:10:46.213763 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.214051 1317858 net.cpp:124] Setting up loss I0808 08:10:46.214155 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.214251 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.214411 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.214511 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.214643 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.214756 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.214905 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.215050 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.215195 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.222241 1317858 hdf5.cpp:33] Datatype class: H5T_FLOAT .I0808 08:10:46.233620 1317858 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" } I0808 08:10:46.234246 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.234447 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.234602 1317858 net.cpp:382] data -> data I0808 08:10:46.234746 1317858 net.cpp:382] data -> label I0808 08:10:46.234951 1317858 net.cpp:124] Setting up data I0808 08:10:46.235077 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.235306 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.235435 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.235597 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.235740 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.235883 1317858 net.cpp:408] conv <- data I0808 08:10:46.235998 1317858 net.cpp:382] conv -> conv I0808 08:10:46.236219 1317858 net.cpp:124] Setting up conv I0808 08:10:46.236428 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.236537 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.236653 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.236768 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.236918 1317858 net.cpp:408] ip <- conv I0808 08:10:46.237069 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.237448 1317858 net.cpp:124] Setting up ip I0808 08:10:46.237568 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.237684 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.237967 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.238149 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.238303 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.238421 1317858 net.cpp:408] loss <- label I0808 08:10:46.238575 1317858 net.cpp:382] loss -> loss I0808 08:10:46.238709 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.238883 1317858 net.cpp:124] Setting up loss I0808 08:10:46.238999 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.239152 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.239437 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.239575 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.239698 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.239840 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.239957 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.240167 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.240633 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.253216 1317858 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I0808 08:10:46.253548 1317858 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I0808 08:10:46.253680 1317858 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 } } I0808 08:10:46.254091 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.254276 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.254384 1317858 net.cpp:382] data -> data I0808 08:10:46.254509 1317858 net.cpp:124] Setting up data I0808 08:10:46.254679 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.254815 1317858 net.cpp:139] Memory required for data: 400 I0808 08:10:46.254997 1317858 layer_factory.hpp:77] Creating layer data_data_0_split I0808 08:10:46.255129 1317858 net.cpp:86] Creating Layer data_data_0_split I0808 08:10:46.255295 1317858 net.cpp:408] data_data_0_split <- data I0808 08:10:46.255409 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0808 08:10:46.255600 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0808 08:10:46.255741 1317858 net.cpp:124] Setting up data_data_0_split I0808 08:10:46.255905 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.256191 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.256304 1317858 net.cpp:139] Memory required for data: 1200 I0808 08:10:46.256410 1317858 layer_factory.hpp:77] Creating layer A I0808 08:10:46.256889 1317858 net.cpp:86] Creating Layer A I0808 08:10:46.257020 1317858 net.cpp:408] A <- data_data_0_split_0 I0808 08:10:46.260879 1317858 net.cpp:382] A -> A I0808 08:10:46.261200 1317858 net.cpp:124] Setting up A I0808 08:10:46.261336 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.261773 1317858 net.cpp:139] Memory required for data: 1204 I0808 08:10:46.261965 1317858 layer_factory.hpp:77] Creating layer AorB I0808 08:10:46.262110 1317858 net.cpp:86] Creating Layer AorB I0808 08:10:46.262293 1317858 net.cpp:408] AorB <- data_data_0_split_1 I0808 08:10:46.262431 1317858 net.cpp:382] AorB -> AorB I0808 08:10:46.262650 1317858 net.cpp:124] Setting up AorB I0808 08:10:46.263960 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.264250 1317858 net.cpp:139] Memory required for data: 1208 I0808 08:10:46.264441 1317858 net.cpp:202] AorB does not need backward computation. I0808 08:10:46.264637 1317858 net.cpp:202] A does not need backward computation. I0808 08:10:46.264760 1317858 net.cpp:202] data_data_0_split does not need backward computation. I0808 08:10:46.264981 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.265100 1317858 net.cpp:244] This network produces output A I0808 08:10:46.265259 1317858 net.cpp:244] This network produces output AorB I0808 08:10:46.265394 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.267663 1317858 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 } } I0808 08:10:46.272794 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.273123 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.273247 1317858 net.cpp:382] data -> data I0808 08:10:46.273543 1317858 net.cpp:124] Setting up data I0808 08:10:46.273670 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.273785 1317858 net.cpp:139] Memory required for data: 400 I0808 08:10:46.273931 1317858 layer_factory.hpp:77] Creating layer data_data_0_split I0808 08:10:46.274047 1317858 net.cpp:86] Creating Layer data_data_0_split I0808 08:10:46.274190 1317858 net.cpp:408] data_data_0_split <- data I0808 08:10:46.274331 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0808 08:10:46.274518 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0808 08:10:46.274632 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0808 08:10:46.274749 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0808 08:10:46.274904 1317858 net.cpp:124] Setting up data_data_0_split I0808 08:10:46.275068 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.275197 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.275394 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.275710 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.275853 1317858 net.cpp:139] Memory required for data: 2000 I0808 08:10:46.276003 1317858 layer_factory.hpp:77] Creating layer A I0808 08:10:46.276165 1317858 net.cpp:86] Creating Layer A I0808 08:10:46.276275 1317858 net.cpp:408] A <- data_data_0_split_0 I0808 08:10:46.276432 1317858 net.cpp:382] A -> A I0808 08:10:46.276583 1317858 net.cpp:124] Setting up A I0808 08:10:46.276732 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.276861 1317858 net.cpp:139] Memory required for data: 2004 I0808 08:10:46.277026 1317858 layer_factory.hpp:77] Creating layer B I0808 08:10:46.277158 1317858 net.cpp:86] Creating Layer B I0808 08:10:46.277323 1317858 net.cpp:408] B <- data_data_0_split_1 I0808 08:10:46.277442 1317858 net.cpp:382] B -> B I0808 08:10:46.277607 1317858 net.cpp:124] Setting up B I0808 08:10:46.277719 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.277868 1317858 net.cpp:139] Memory required for data: 2008 I0808 08:10:46.277985 1317858 layer_factory.hpp:77] Creating layer AorB I0808 08:10:46.278168 1317858 net.cpp:86] Creating Layer AorB I0808 08:10:46.278376 1317858 net.cpp:408] AorB <- data_data_0_split_2 I0808 08:10:46.278515 1317858 net.cpp:382] AorB -> AorB I0808 08:10:46.278651 1317858 net.cpp:124] Setting up AorB I0808 08:10:46.278797 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.278919 1317858 net.cpp:139] Memory required for data: 2012 I0808 08:10:46.279073 1317858 layer_factory.hpp:77] Creating layer AandB I0808 08:10:46.280586 1317858 net.cpp:86] Creating Layer AandB I0808 08:10:46.280794 1317858 net.cpp:408] AandB <- data_data_0_split_3 I0808 08:10:46.280938 1317858 net.cpp:382] AandB -> AandB I0808 08:10:46.281152 1317858 net.cpp:124] Setting up AandB I0808 08:10:46.281318 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.281461 1317858 net.cpp:139] Memory required for data: 2016 I0808 08:10:46.281592 1317858 net.cpp:202] AandB does not need backward computation. I0808 08:10:46.281764 1317858 net.cpp:202] AorB does not need backward computation. I0808 08:10:46.281896 1317858 net.cpp:202] B does not need backward computation. I0808 08:10:46.282070 1317858 net.cpp:202] A does not need backward computation. I0808 08:10:46.282200 1317858 net.cpp:202] data_data_0_split does not need backward computation. I0808 08:10:46.282368 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.282477 1317858 net.cpp:244] This network produces output A I0808 08:10:46.282615 1317858 net.cpp:244] This network produces output AandB I0808 08:10:46.282728 1317858 net.cpp:244] This network produces output AorB I0808 08:10:46.282858 1317858 net.cpp:244] This network produces output B I0808 08:10:46.283048 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.289706 1317858 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I0808 08:10:46.290102 1317858 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I0808 08:10:46.290232 1317858 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I0808 08:10:46.290419 1317858 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 } } I0808 08:10:46.290778 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.290905 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.291013 1317858 net.cpp:382] data -> data I0808 08:10:46.291189 1317858 net.cpp:124] Setting up data I0808 08:10:46.291302 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.291440 1317858 net.cpp:139] Memory required for data: 400 I0808 08:10:46.291545 1317858 layer_factory.hpp:77] Creating layer data_data_0_split I0808 08:10:46.292649 1317858 net.cpp:86] Creating Layer data_data_0_split I0808 08:10:46.292798 1317858 net.cpp:408] data_data_0_split <- data I0808 08:10:46.292922 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0808 08:10:46.293043 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0808 08:10:46.293195 1317858 net.cpp:124] Setting up data_data_0_split I0808 08:10:46.293308 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.300396 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) I0808 08:10:46.300873 1317858 net.cpp:139] Memory required for data: 1200 I0808 08:10:46.300979 1317858 layer_factory.hpp:77] Creating layer B I0808 08:10:46.301127 1317858 net.cpp:86] Creating Layer B I0808 08:10:46.301333 1317858 net.cpp:408] B <- data_data_0_split_0 I0808 08:10:46.301455 1317858 net.cpp:382] B -> B I0808 08:10:46.301652 1317858 net.cpp:124] Setting up B I0808 08:10:46.301750 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.301870 1317858 net.cpp:139] Memory required for data: 1204 I0808 08:10:46.301998 1317858 layer_factory.hpp:77] Creating layer AorB I0808 08:10:46.302150 1317858 net.cpp:86] Creating Layer AorB I0808 08:10:46.302260 1317858 net.cpp:408] AorB <- data_data_0_split_1 I0808 08:10:46.302470 1317858 net.cpp:382] AorB -> AorB I0808 08:10:46.302587 1317858 net.cpp:124] Setting up AorB I0808 08:10:46.302760 1317858 net.cpp:131] Top shape: 1 1 (1) I0808 08:10:46.302855 1317858 net.cpp:139] Memory required for data: 1208 I0808 08:10:46.302968 1317858 net.cpp:202] AorB does not need backward computation. I0808 08:10:46.303078 1317858 net.cpp:202] B does not need backward computation. I0808 08:10:46.303241 1317858 net.cpp:202] data_data_0_split does not need backward computation. I0808 08:10:46.304212 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.304391 1317858 net.cpp:244] This network produces output AorB I0808 08:10:46.304490 1317858 net.cpp:244] This network produces output B I0808 08:10:46.304589 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.308670 1317858 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" } I0808 08:10:46.310475 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.310678 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.310781 1317858 net.cpp:382] data -> data I0808 08:10:46.310916 1317858 net.cpp:382] data -> label I0808 08:10:46.314821 1317858 net.cpp:124] Setting up data I0808 08:10:46.315099 1317858 net.cpp:131] Top shape: 50 1 28 28 (39200) I0808 08:10:46.315210 1317858 net.cpp:131] Top shape: 50 1 1 1 (50) I0808 08:10:46.315346 1317858 net.cpp:139] Memory required for data: 157000 I0808 08:10:46.315515 1317858 layer_factory.hpp:77] Creating layer conv1 I0808 08:10:46.320371 1317858 net.cpp:86] Creating Layer conv1 I0808 08:10:46.321348 1317858 net.cpp:408] conv1 <- data I0808 08:10:46.321669 1317858 net.cpp:382] conv1 -> conv1 I0808 08:10:46.322209 1317858 net.cpp:124] Setting up conv1 I0808 08:10:46.322552 1317858 net.cpp:131] Top shape: 50 20 24 24 (576000) I0808 08:10:46.322691 1317858 net.cpp:139] Memory required for data: 2461000 I0808 08:10:46.322819 1317858 layer_factory.hpp:77] Creating layer pool1 I0808 08:10:46.322935 1317858 net.cpp:86] Creating Layer pool1 I0808 08:10:46.323081 1317858 net.cpp:408] pool1 <- conv1 I0808 08:10:46.323237 1317858 net.cpp:382] pool1 -> pool1 I0808 08:10:46.323401 1317858 net.cpp:124] Setting up pool1 I0808 08:10:46.323557 1317858 net.cpp:131] Top shape: 50 20 12 12 (144000) I0808 08:10:46.323660 1317858 net.cpp:139] Memory required for data: 3037000 I0808 08:10:46.323789 1317858 layer_factory.hpp:77] Creating layer conv2 I0808 08:10:46.323900 1317858 net.cpp:86] Creating Layer conv2 I0808 08:10:46.324052 1317858 net.cpp:408] conv2 <- pool1 I0808 08:10:46.324162 1317858 net.cpp:382] conv2 -> conv2 I0808 08:10:46.324851 1317858 net.cpp:124] Setting up conv2 I0808 08:10:46.324967 1317858 net.cpp:131] Top shape: 50 50 8 8 (160000) I0808 08:10:46.325116 1317858 net.cpp:139] Memory required for data: 3677000 I0808 08:10:46.325235 1317858 layer_factory.hpp:77] Creating layer pool2 I0808 08:10:46.325436 1317858 net.cpp:86] Creating Layer pool2 I0808 08:10:46.325551 1317858 net.cpp:408] pool2 <- conv2 I0808 08:10:46.325701 1317858 net.cpp:382] pool2 -> pool2 I0808 08:10:46.325830 1317858 net.cpp:124] Setting up pool2 I0808 08:10:46.331724 1317858 net.cpp:131] Top shape: 50 50 4 4 (40000) I0808 08:10:46.332266 1317858 net.cpp:139] Memory required for data: 3837000 I0808 08:10:46.332418 1317858 layer_factory.hpp:77] Creating layer ip1 I0808 08:10:46.332561 1317858 net.cpp:86] Creating Layer ip1 I0808 08:10:46.332758 1317858 net.cpp:408] ip1 <- pool2 I0808 08:10:46.332939 1317858 net.cpp:382] ip1 -> ip1 I0808 08:10:46.339100 1317858 net.cpp:124] Setting up ip1 I0808 08:10:46.344347 1317858 net.cpp:131] Top shape: 50 500 (25000) I0808 08:10:46.344722 1317858 net.cpp:139] Memory required for data: 3937000 I0808 08:10:46.344874 1317858 layer_factory.hpp:77] Creating layer relu1 I0808 08:10:46.345109 1317858 net.cpp:86] Creating Layer relu1 I0808 08:10:46.345249 1317858 net.cpp:408] relu1 <- ip1 I0808 08:10:46.345364 1317858 net.cpp:369] relu1 -> ip1 (in-place) I0808 08:10:46.345523 1317858 net.cpp:124] Setting up relu1 I0808 08:10:46.345660 1317858 net.cpp:131] Top shape: 50 500 (25000) I0808 08:10:46.345767 1317858 net.cpp:139] Memory required for data: 4037000 I0808 08:10:46.345870 1317858 layer_factory.hpp:77] Creating layer ip2 I0808 08:10:46.346033 1317858 net.cpp:86] Creating Layer ip2 I0808 08:10:46.346169 1317858 net.cpp:408] ip2 <- ip1 I0808 08:10:46.346282 1317858 net.cpp:382] ip2 -> ip2 I0808 08:10:46.346503 1317858 net.cpp:124] Setting up ip2 I0808 08:10:46.346612 1317858 net.cpp:131] Top shape: 50 10 (500) I0808 08:10:46.346742 1317858 net.cpp:139] Memory required for data: 4039000 I0808 08:10:46.346856 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.347010 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.347136 1317858 net.cpp:408] loss <- ip2 I0808 08:10:46.347271 1317858 net.cpp:408] loss <- label I0808 08:10:46.347381 1317858 net.cpp:382] loss -> loss I0808 08:10:46.347525 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.347651 1317858 net.cpp:124] Setting up loss I0808 08:10:46.347831 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.347929 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.348186 1317858 net.cpp:139] Memory required for data: 4039004 I0808 08:10:46.348292 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.348423 1317858 net.cpp:200] ip2 needs backward computation. I0808 08:10:46.348539 1317858 net.cpp:200] relu1 needs backward computation. I0808 08:10:46.348688 1317858 net.cpp:200] ip1 needs backward computation. I0808 08:10:46.348784 1317858 net.cpp:200] pool2 needs backward computation. I0808 08:10:46.348906 1317858 net.cpp:200] conv2 needs backward computation. I0808 08:10:46.348997 1317858 net.cpp:200] pool1 needs backward computation. I0808 08:10:46.349094 1317858 net.cpp:200] conv1 needs backward computation. I0808 08:10:46.349211 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.349319 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.354501 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.358685 1317858 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" } I0808 08:10:46.364255 1317858 layer_factory.hpp:77] Creating layer DummyData1 I0808 08:10:46.364660 1317858 net.cpp:86] Creating Layer DummyData1 I0808 08:10:46.364770 1317858 net.cpp:382] DummyData1 -> DummyData1 I0808 08:10:46.364894 1317858 net.cpp:382] DummyData1 -> DummyData2 I0808 08:10:46.365199 1317858 net.cpp:124] Setting up DummyData1 I0808 08:10:46.365675 1317858 net.cpp:131] Top shape: 50 1 28 28 (39200) I0808 08:10:46.365828 1317858 net.cpp:131] Top shape: 50 1 1 1 (50) I0808 08:10:46.365957 1317858 net.cpp:139] Memory required for data: 157000 I0808 08:10:46.366091 1317858 layer_factory.hpp:77] Creating layer Convolution1 I0808 08:10:46.366300 1317858 net.cpp:86] Creating Layer Convolution1 I0808 08:10:46.366492 1317858 net.cpp:408] Convolution1 <- DummyData1 I0808 08:10:46.366613 1317858 net.cpp:382] Convolution1 -> Convolution1 I0808 08:10:46.366827 1317858 net.cpp:124] Setting up Convolution1 I0808 08:10:46.366943 1317858 net.cpp:131] Top shape: 50 20 24 24 (576000) I0808 08:10:46.367061 1317858 net.cpp:139] Memory required for data: 2461000 I0808 08:10:46.367209 1317858 layer_factory.hpp:77] Creating layer Pooling1 I0808 08:10:46.367328 1317858 net.cpp:86] Creating Layer Pooling1 I0808 08:10:46.367441 1317858 net.cpp:408] Pooling1 <- Convolution1 I0808 08:10:46.367559 1317858 net.cpp:382] Pooling1 -> Pooling1 I0808 08:10:46.367682 1317858 net.cpp:124] Setting up Pooling1 I0808 08:10:46.367789 1317858 net.cpp:131] Top shape: 50 20 12 12 (144000) I0808 08:10:46.367903 1317858 net.cpp:139] Memory required for data: 3037000 I0808 08:10:46.368049 1317858 layer_factory.hpp:77] Creating layer Convolution2 I0808 08:10:46.368386 1317858 net.cpp:86] Creating Layer Convolution2 I0808 08:10:46.368558 1317858 net.cpp:408] Convolution2 <- Pooling1 I0808 08:10:46.368656 1317858 net.cpp:382] Convolution2 -> Convolution2 I0808 08:10:46.369186 1317858 net.cpp:124] Setting up Convolution2 I0808 08:10:46.369302 1317858 net.cpp:131] Top shape: 50 50 8 8 (160000) I0808 08:10:46.369417 1317858 net.cpp:139] Memory required for data: 3677000 I0808 08:10:46.369534 1317858 layer_factory.hpp:77] Creating layer Pooling2 I0808 08:10:46.369745 1317858 net.cpp:86] Creating Layer Pooling2 I0808 08:10:46.369875 1317858 net.cpp:408] Pooling2 <- Convolution2 I0808 08:10:46.370007 1317858 net.cpp:382] Pooling2 -> Pooling2 I0808 08:10:46.370219 1317858 net.cpp:124] Setting up Pooling2 I0808 08:10:46.370340 1317858 net.cpp:131] Top shape: 50 50 4 4 (40000) I0808 08:10:46.370507 1317858 net.cpp:139] Memory required for data: 3837000 I0808 08:10:46.370630 1317858 layer_factory.hpp:77] Creating layer InnerProduct1 I0808 08:10:46.370786 1317858 net.cpp:86] Creating Layer InnerProduct1 I0808 08:10:46.370889 1317858 net.cpp:408] InnerProduct1 <- Pooling2 I0808 08:10:46.371027 1317858 net.cpp:382] InnerProduct1 -> InnerProduct1 I0808 08:10:46.382642 1317858 net.cpp:124] Setting up InnerProduct1 I0808 08:10:46.388146 1317858 net.cpp:131] Top shape: 50 500 (25000) I0808 08:10:46.388480 1317858 net.cpp:139] Memory required for data: 3937000 I0808 08:10:46.388630 1317858 layer_factory.hpp:77] Creating layer ReLU1 I0808 08:10:46.388762 1317858 net.cpp:86] Creating Layer ReLU1 I0808 08:10:46.388948 1317858 net.cpp:408] ReLU1 <- InnerProduct1 I0808 08:10:46.389094 1317858 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I0808 08:10:46.389281 1317858 net.cpp:124] Setting up ReLU1 I0808 08:10:46.389401 1317858 net.cpp:131] Top shape: 50 500 (25000) I0808 08:10:46.389571 1317858 net.cpp:139] Memory required for data: 4037000 I0808 08:10:46.389699 1317858 layer_factory.hpp:77] Creating layer InnerProduct2 I0808 08:10:46.389866 1317858 net.cpp:86] Creating Layer InnerProduct2 I0808 08:10:46.389990 1317858 net.cpp:408] InnerProduct2 <- InnerProduct1 I0808 08:10:46.390165 1317858 net.cpp:382] InnerProduct2 -> InnerProduct2 I0808 08:10:46.390641 1317858 net.cpp:124] Setting up InnerProduct2 I0808 08:10:46.390763 1317858 net.cpp:131] Top shape: 50 10 (500) I0808 08:10:46.390875 1317858 net.cpp:139] Memory required for data: 4039000 I0808 08:10:46.391026 1317858 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0808 08:10:46.391203 1317858 net.cpp:86] Creating Layer SoftmaxWithLoss1 I0808 08:10:46.391357 1317858 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I0808 08:10:46.391474 1317858 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I0808 08:10:46.391634 1317858 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I0808 08:10:46.391758 1317858 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0808 08:10:46.391914 1317858 net.cpp:124] Setting up SoftmaxWithLoss1 I0808 08:10:46.392040 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.392220 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.392359 1317858 net.cpp:139] Memory required for data: 4039004 I0808 08:10:46.392482 1317858 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I0808 08:10:46.392586 1317858 net.cpp:200] InnerProduct2 needs backward computation. I0808 08:10:46.392743 1317858 net.cpp:200] ReLU1 needs backward computation. I0808 08:10:46.392835 1317858 net.cpp:200] InnerProduct1 needs backward computation. I0808 08:10:46.392951 1317858 net.cpp:200] Pooling2 needs backward computation. I0808 08:10:46.393043 1317858 net.cpp:200] Convolution2 needs backward computation. I0808 08:10:46.393183 1317858 net.cpp:200] Pooling1 needs backward computation. I0808 08:10:46.393297 1317858 net.cpp:200] Convolution1 needs backward computation. I0808 08:10:46.393410 1317858 net.cpp:202] DummyData1 does not need backward computation. I0808 08:10:46.393565 1317858 net.cpp:244] This network produces output SoftmaxWithLoss1 I0808 08:10:46.393736 1317858 net.cpp:257] Network initialization done. ./build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_net_spec.py:87: DeprecationWarning: Please use assertRaisesRegex instead. with self.assertRaisesRegexp(TypeError, r): .I0808 08:10:46.417537 1317858 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" } I0808 08:10:46.421977 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.422381 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.422612 1317858 net.cpp:382] data -> data I0808 08:10:46.422760 1317858 net.cpp:382] data -> data2 I0808 08:10:46.422940 1317858 net.cpp:124] Setting up data I0808 08:10:46.423045 1317858 net.cpp:131] Top shape: 3 (3) I0808 08:10:46.423157 1317858 net.cpp:131] Top shape: 3 (3) I0808 08:10:46.423336 1317858 net.cpp:139] Memory required for data: 24 I0808 08:10:46.423441 1317858 layer_factory.hpp:77] Creating layer silence_data I0808 08:10:46.423939 1317858 net.cpp:86] Creating Layer silence_data I0808 08:10:46.424089 1317858 net.cpp:408] silence_data <- data I0808 08:10:46.424239 1317858 net.cpp:124] Setting up silence_data I0808 08:10:46.424427 1317858 net.cpp:139] Memory required for data: 24 I0808 08:10:46.424553 1317858 layer_factory.hpp:77] Creating layer silence_data2 I0808 08:10:46.424690 1317858 net.cpp:86] Creating Layer silence_data2 I0808 08:10:46.424841 1317858 net.cpp:408] silence_data2 <- data2 I0808 08:10:46.424963 1317858 net.cpp:124] Setting up silence_data2 I0808 08:10:46.425101 1317858 net.cpp:139] Memory required for data: 24 I0808 08:10:46.425212 1317858 net.cpp:202] silence_data2 does not need backward computation. I0808 08:10:46.425359 1317858 net.cpp:202] silence_data does not need backward computation. I0808 08:10:46.425544 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.425671 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.433090 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9m901cbs I0808 08:10:46.433393 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.433544 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.433693 1317858 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" } } I0808 08:10:46.434018 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.434142 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.434285 1317858 net.cpp:382] input -> data I0808 08:10:46.434407 1317858 net.cpp:124] Setting up input I0808 08:10:46.434538 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.434643 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.434741 1317858 layer_factory.hpp:77] Creating layer one I0808 08:10:46.439776 1317858 net.cpp:86] Creating Layer one I0808 08:10:46.440199 1317858 net.cpp:408] one <- data I0808 08:10:46.440331 1317858 net.cpp:382] one -> one I0808 08:10:46.440724 1317858 net.cpp:124] Setting up one I0808 08:10:46.440838 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.440950 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.441038 1317858 layer_factory.hpp:77] Creating layer two I0808 08:10:46.441216 1317858 net.cpp:86] Creating Layer two I0808 08:10:46.441323 1317858 net.cpp:408] two <- one I0808 08:10:46.441462 1317858 net.cpp:382] two -> two I0808 08:10:46.441617 1317858 net.cpp:124] Setting up two I0808 08:10:46.441753 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.443410 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.443620 1317858 layer_factory.hpp:77] Creating layer three I0808 08:10:46.443821 1317858 net.cpp:86] Creating Layer three I0808 08:10:46.444022 1317858 net.cpp:408] three <- two I0808 08:10:46.444154 1317858 net.cpp:382] three -> three I0808 08:10:46.444365 1317858 net.cpp:124] Setting up three I0808 08:10:46.444475 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.444586 1317858 net.cpp:139] Memory required for data: 11520 I0808 08:10:46.444727 1317858 net.cpp:202] three does not need backward computation. I0808 08:10:46.444859 1317858 net.cpp:202] two does not need backward computation. I0808 08:10:46.444959 1317858 net.cpp:202] one does not need backward computation. I0808 08:10:46.445143 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.445237 1317858 net.cpp:244] This network produces output three I0808 08:10:46.445394 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.466262 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpae4febh6 I0808 08:10:46.472098 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.472514 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.472666 1317858 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" } } I0808 08:10:46.473045 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.473205 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.473418 1317858 net.cpp:382] input -> data I0808 08:10:46.473650 1317858 net.cpp:124] Setting up input I0808 08:10:46.473762 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.473876 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.474066 1317858 layer_factory.hpp:77] Creating layer one I0808 08:10:46.474328 1317858 net.cpp:86] Creating Layer one I0808 08:10:46.474457 1317858 net.cpp:408] one <- data I0808 08:10:46.474582 1317858 net.cpp:382] one -> one I0808 08:10:46.474834 1317858 net.cpp:124] Setting up one I0808 08:10:46.475003 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.475132 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.475243 1317858 layer_factory.hpp:77] Creating layer two I0808 08:10:46.475414 1317858 net.cpp:86] Creating Layer two I0808 08:10:46.475521 1317858 net.cpp:408] two <- one I0808 08:10:46.475648 1317858 net.cpp:382] two -> two I0808 08:10:46.475788 1317858 net.cpp:124] Setting up two I0808 08:10:46.475915 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.476112 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.476245 1317858 layer_factory.hpp:77] Creating layer three I0808 08:10:46.476459 1317858 net.cpp:86] Creating Layer three I0808 08:10:46.476675 1317858 net.cpp:408] three <- two I0808 08:10:46.476867 1317858 net.cpp:382] three -> three I0808 08:10:46.477067 1317858 net.cpp:124] Setting up three I0808 08:10:46.477234 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.477361 1317858 net.cpp:139] Memory required for data: 11520 I0808 08:10:46.477488 1317858 net.cpp:202] three does not need backward computation. I0808 08:10:46.477640 1317858 net.cpp:202] two does not need backward computation. I0808 08:10:46.477839 1317858 net.cpp:202] one does not need backward computation. I0808 08:10:46.477926 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.478049 1317858 net.cpp:244] This network produces output three I0808 08:10:46.478149 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.479424 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpqim4t0zm I0808 08:10:46.479616 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.479727 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.479902 1317858 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" } } I0808 08:10:46.480264 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.480391 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.480501 1317858 net.cpp:382] input -> data I0808 08:10:46.480667 1317858 net.cpp:124] Setting up input I0808 08:10:46.480760 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.480883 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.480983 1317858 layer_factory.hpp:77] Creating layer layer I0808 08:10:46.481186 1317858 net.cpp:86] Creating Layer layer I0808 08:10:46.481878 1317858 net.cpp:408] layer <- data I0808 08:10:46.482000 1317858 net.cpp:382] layer -> top .I0808 08:10:46.489774 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp2uddyovg I0808 08:10:46.490109 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.490240 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.490404 1317858 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" } } I0808 08:10:46.490855 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.491051 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.491478 1317858 net.cpp:382] input -> data I0808 08:10:46.491648 1317858 net.cpp:124] Setting up input I0808 08:10:46.491809 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.492081 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.492240 1317858 layer_factory.hpp:77] Creating layer one I0808 08:10:46.492580 1317858 net.cpp:86] Creating Layer one I0808 08:10:46.492738 1317858 net.cpp:408] one <- data I0808 08:10:46.492869 1317858 net.cpp:382] one -> one I0808 08:10:46.493201 1317858 net.cpp:124] Setting up one I0808 08:10:46.493465 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.493652 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.493901 1317858 layer_factory.hpp:77] Creating layer two I0808 08:10:46.494140 1317858 net.cpp:86] Creating Layer two I0808 08:10:46.494488 1317858 net.cpp:408] two <- one I0808 08:10:46.494737 1317858 net.cpp:382] two -> two I0808 08:10:46.495121 1317858 net.cpp:124] Setting up two I0808 08:10:46.495416 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.495702 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.495810 1317858 layer_factory.hpp:77] Creating layer three I0808 08:10:46.495967 1317858 net.cpp:86] Creating Layer three I0808 08:10:46.496145 1317858 net.cpp:408] three <- two I0808 08:10:46.496263 1317858 net.cpp:382] three -> three I0808 08:10:46.496477 1317858 net.cpp:124] Setting up three I0808 08:10:46.496585 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.496717 1317858 net.cpp:139] Memory required for data: 11520 I0808 08:10:46.496825 1317858 net.cpp:202] three does not need backward computation. I0808 08:10:46.496924 1317858 net.cpp:202] two does not need backward computation. I0808 08:10:46.497066 1317858 net.cpp:202] one does not need backward computation. I0808 08:10:46.497218 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.497339 1317858 net.cpp:244] This network produces output three I0808 08:10:46.497426 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.533912 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpowa4thy3 I0808 08:10:46.535588 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.535746 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.535928 1317858 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" } } I0808 08:10:46.536435 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.536648 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.536803 1317858 net.cpp:382] input -> data I0808 08:10:46.537040 1317858 net.cpp:124] Setting up input I0808 08:10:46.537135 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.537245 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.537344 1317858 layer_factory.hpp:77] Creating layer one I0808 08:10:46.537664 1317858 net.cpp:86] Creating Layer one I0808 08:10:46.538079 1317858 net.cpp:408] one <- data I0808 08:10:46.545678 1317858 net.cpp:382] one -> one I0808 08:10:46.546406 1317858 net.cpp:124] Setting up one I0808 08:10:46.546543 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.546684 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.546902 1317858 layer_factory.hpp:77] Creating layer two I0808 08:10:46.547633 1317858 net.cpp:86] Creating Layer two I0808 08:10:46.547781 1317858 net.cpp:408] two <- one I0808 08:10:46.547910 1317858 net.cpp:382] two -> two I0808 08:10:46.548578 1317858 net.cpp:124] Setting up two I0808 08:10:46.548756 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.548890 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.549006 1317858 layer_factory.hpp:77] Creating layer three I0808 08:10:46.549295 1317858 net.cpp:86] Creating Layer three I0808 08:10:46.549485 1317858 net.cpp:408] three <- two I0808 08:10:46.549597 1317858 net.cpp:382] three -> three I0808 08:10:46.549806 1317858 net.cpp:124] Setting up three I0808 08:10:46.549950 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.550096 1317858 net.cpp:139] Memory required for data: 11520 I0808 08:10:46.550218 1317858 net.cpp:202] three does not need backward computation. I0808 08:10:46.550369 1317858 net.cpp:202] two does not need backward computation. I0808 08:10:46.550565 1317858 net.cpp:202] one does not need backward computation. I0808 08:10:46.550684 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.550832 1317858 net.cpp:244] This network produces output three I0808 08:10:46.551119 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.552435 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp8ev5q5vq I0808 08:10:46.553166 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.553316 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.553486 1317858 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" } } I0808 08:10:46.553894 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.554042 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.554294 1317858 net.cpp:382] input -> data I0808 08:10:46.554433 1317858 net.cpp:124] Setting up input I0808 08:10:46.554579 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.554687 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.554785 1317858 layer_factory.hpp:77] Creating layer layer I0808 08:10:46.555035 1317858 net.cpp:86] Creating Layer layer I0808 08:10:46.555142 1317858 net.cpp:408] layer <- data I0808 08:10:46.555258 1317858 net.cpp:382] layer -> top I0808 08:10:46.555586 1317858 net.cpp:124] Setting up layer I0808 08:10:46.555701 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.555809 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.555935 1317858 net.cpp:202] layer does not need backward computation. I0808 08:10:46.556100 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.556207 1317858 net.cpp:244] This network produces output top I0808 08:10:46.556337 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.558264 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp8ev5q5vq I0808 08:10:46.564827 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.565421 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.565644 1317858 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" } } I0808 08:10:46.566326 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.566748 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.566919 1317858 net.cpp:382] input -> data I0808 08:10:46.568320 1317858 net.cpp:124] Setting up input I0808 08:10:46.568497 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.568617 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.568728 1317858 layer_factory.hpp:77] Creating layer layer I0808 08:10:46.569129 1317858 net.cpp:86] Creating Layer layer I0808 08:10:46.569238 1317858 net.cpp:408] layer <- data I0808 08:10:46.574440 1317858 net.cpp:382] layer -> top I0808 08:10:46.575821 1317858 net.cpp:124] Setting up layer I0808 08:10:46.576025 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.576200 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.576391 1317858 net.cpp:202] layer does not need backward computation. I0808 08:10:46.576503 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.576633 1317858 net.cpp:244] This network produces output top I0808 08:10:46.576833 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.592697 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp_xnd0b_f I0808 08:10:46.593652 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.593770 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.594926 1317858 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" } } I0808 08:10:46.595293 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.595444 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.597283 1317858 net.cpp:382] input -> data I0808 08:10:46.597501 1317858 net.cpp:124] Setting up input I0808 08:10:46.597623 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.597748 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.598028 1317858 layer_factory.hpp:77] Creating layer one I0808 08:10:46.598395 1317858 net.cpp:86] Creating Layer one I0808 08:10:46.598577 1317858 net.cpp:408] one <- data I0808 08:10:46.598682 1317858 net.cpp:382] one -> one I0808 08:10:46.599009 1317858 net.cpp:124] Setting up one I0808 08:10:46.599124 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.599227 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.599323 1317858 layer_factory.hpp:77] Creating layer two I0808 08:10:46.599537 1317858 net.cpp:86] Creating Layer two I0808 08:10:46.599638 1317858 net.cpp:408] two <- one I0808 08:10:46.600843 1317858 net.cpp:382] two -> two I0808 08:10:46.601154 1317858 net.cpp:124] Setting up two I0808 08:10:46.601292 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.601445 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.601542 1317858 layer_factory.hpp:77] Creating layer three I0808 08:10:46.601765 1317858 net.cpp:86] Creating Layer three I0808 08:10:46.601900 1317858 net.cpp:408] three <- two I0808 08:10:46.601999 1317858 net.cpp:382] three -> three I0808 08:10:46.602170 1317858 net.cpp:124] Setting up three I0808 08:10:46.602299 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.602393 1317858 net.cpp:139] Memory required for data: 11520 I0808 08:10:46.602525 1317858 net.cpp:202] three does not need backward computation. I0808 08:10:46.602638 1317858 net.cpp:202] two does not need backward computation. I0808 08:10:46.602751 1317858 net.cpp:202] one does not need backward computation. I0808 08:10:46.602958 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.603096 1317858 net.cpp:244] This network produces output three I0808 08:10:46.603211 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.606432 1317858 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" } } I0808 08:10:46.613559 1317858 layer_factory.hpp:77] Creating layer layer I0808 08:10:46.617213 1317858 net.cpp:86] Creating Layer layer I0808 08:10:46.617529 1317858 net.cpp:382] layer -> phase I0808 08:10:46.617770 1317858 net.cpp:124] Setting up layer I0808 08:10:46.617947 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.618060 1317858 net.cpp:139] Memory required for data: 4 I0808 08:10:46.618180 1317858 net.cpp:202] layer does not need backward computation. I0808 08:10:46.618328 1317858 net.cpp:244] This network produces output phase I0808 08:10:46.618444 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.619313 1317858 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" } } I0808 08:10:46.621845 1317858 layer_factory.hpp:77] Creating layer layer I0808 08:10:46.622319 1317858 net.cpp:86] Creating Layer layer I0808 08:10:46.622535 1317858 net.cpp:382] layer -> phase I0808 08:10:46.622761 1317858 net.cpp:124] Setting up layer I0808 08:10:46.622928 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.623025 1317858 net.cpp:139] Memory required for data: 4 I0808 08:10:46.623126 1317858 net.cpp:202] layer does not need backward computation. I0808 08:10:46.623354 1317858 net.cpp:244] This network produces output phase I0808 08:10:46.623466 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.625857 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpro4z6cu0 I0808 08:10:46.630555 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.630834 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.631050 1317858 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" } } I0808 08:10:46.631628 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.631845 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.632162 1317858 net.cpp:382] input -> data I0808 08:10:46.632336 1317858 net.cpp:124] Setting up input I0808 08:10:46.632448 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.632602 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.632716 1317858 layer_factory.hpp:77] Creating layer one I0808 08:10:46.632982 1317858 net.cpp:86] Creating Layer one I0808 08:10:46.633121 1317858 net.cpp:408] one <- data I0808 08:10:46.633219 1317858 net.cpp:382] one -> one I0808 08:10:46.633448 1317858 net.cpp:124] Setting up one I0808 08:10:46.633635 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.633730 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.633821 1317858 layer_factory.hpp:77] Creating layer two I0808 08:10:46.633976 1317858 net.cpp:86] Creating Layer two I0808 08:10:46.634111 1317858 net.cpp:408] two <- one I0808 08:10:46.634213 1317858 net.cpp:382] two -> two I0808 08:10:46.634393 1317858 net.cpp:124] Setting up two I0808 08:10:46.634498 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.634625 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.634716 1317858 layer_factory.hpp:77] Creating layer three I0808 08:10:46.634877 1317858 net.cpp:86] Creating Layer three I0808 08:10:46.634995 1317858 net.cpp:408] three <- two I0808 08:10:46.635166 1317858 net.cpp:382] three -> three I0808 08:10:46.635355 1317858 net.cpp:124] Setting up three I0808 08:10:46.635450 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.635550 1317858 net.cpp:139] Memory required for data: 11520 I0808 08:10:46.635636 1317858 net.cpp:202] three does not need backward computation. I0808 08:10:46.635747 1317858 net.cpp:202] two does not need backward computation. I0808 08:10:46.635835 1317858 net.cpp:202] one does not need backward computation. I0808 08:10:46.635949 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.636122 1317858 net.cpp:244] This network produces output three I0808 08:10:46.636238 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.645730 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpv156r14g I0808 08:10:46.646409 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.646530 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.646837 1317858 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" } } I0808 08:10:46.647286 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.647421 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.647541 1317858 net.cpp:382] input -> data I0808 08:10:46.647725 1317858 net.cpp:124] Setting up input I0808 08:10:46.647836 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.648064 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.648240 1317858 layer_factory.hpp:77] Creating layer mul10 I0808 08:10:46.648524 1317858 net.cpp:86] Creating Layer mul10 I0808 08:10:46.648672 1317858 net.cpp:408] mul10 <- data I0808 08:10:46.648783 1317858 net.cpp:382] mul10 -> mul10 I0808 08:10:46.649140 1317858 net.cpp:124] Setting up mul10 I0808 08:10:46.649258 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.649369 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.649500 1317858 layer_factory.hpp:77] Creating layer mul2 I0808 08:10:46.649665 1317858 net.cpp:86] Creating Layer mul2 I0808 08:10:46.649777 1317858 net.cpp:408] mul2 <- mul10 I0808 08:10:46.649890 1317858 net.cpp:382] mul2 -> mul2 I0808 08:10:46.650100 1317858 net.cpp:124] Setting up mul2 I0808 08:10:46.650218 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.650355 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.650465 1317858 net.cpp:202] mul2 does not need backward computation. I0808 08:10:46.650588 1317858 net.cpp:202] mul10 does not need backward computation. I0808 08:10:46.650808 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.650907 1317858 net.cpp:244] This network produces output mul2 I0808 08:10:46.651011 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.670557 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpsqgpuu65 I0808 08:10:46.676079 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0808 08:10:46.676384 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0808 08:10:46.676542 1317858 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" } } I0808 08:10:46.676800 1317858 layer_factory.hpp:77] Creating layer input I0808 08:10:46.676967 1317858 net.cpp:86] Creating Layer input I0808 08:10:46.677071 1317858 net.cpp:382] input -> data I0808 08:10:46.677192 1317858 net.cpp:124] Setting up input I0808 08:10:46.677328 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.677465 1317858 net.cpp:139] Memory required for data: 2880 I0808 08:10:46.677563 1317858 layer_factory.hpp:77] Creating layer mul10 I0808 08:10:46.677783 1317858 net.cpp:86] Creating Layer mul10 I0808 08:10:46.677939 1317858 net.cpp:408] mul10 <- data I0808 08:10:46.678047 1317858 net.cpp:382] mul10 -> mul10 I0808 08:10:46.678324 1317858 net.cpp:124] Setting up mul10 I0808 08:10:46.678442 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.678548 1317858 net.cpp:139] Memory required for data: 5760 I0808 08:10:46.678705 1317858 layer_factory.hpp:77] Creating layer mul2 I0808 08:10:46.678965 1317858 net.cpp:86] Creating Layer mul2 I0808 08:10:46.679080 1317858 net.cpp:408] mul2 <- mul10 I0808 08:10:46.679183 1317858 net.cpp:382] mul2 -> mul2 I0808 08:10:46.679356 1317858 net.cpp:124] Setting up mul2 I0808 08:10:46.679456 1317858 net.cpp:131] Top shape: 10 9 8 (720) I0808 08:10:46.679581 1317858 net.cpp:139] Memory required for data: 8640 I0808 08:10:46.679680 1317858 net.cpp:202] mul2 does not need backward computation. I0808 08:10:46.679780 1317858 net.cpp:202] mul10 does not need backward computation. I0808 08:10:46.679905 1317858 net.cpp:202] input does not need backward computation. I0808 08:10:46.680106 1317858 net.cpp:244] This network produces output mul2 I0808 08:10:46.680223 1317858 net.cpp:257] Network initialization done. .I0808 08:10:46.702994 1317858 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/tmppwezmdon" snapshot_after_train: false I0808 08:10:46.703814 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmppwezmdon I0808 08:10:46.704373 1317858 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" } I0808 08:10:46.704700 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.704849 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.712182 1317858 net.cpp:382] data -> data I0808 08:10:46.712810 1317858 net.cpp:382] data -> label I0808 08:10:46.713052 1317858 net.cpp:124] Setting up data I0808 08:10:46.713315 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.713549 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.713860 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.714023 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.714169 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.714327 1317858 net.cpp:408] conv <- data I0808 08:10:46.714448 1317858 net.cpp:382] conv -> conv I0808 08:10:46.714679 1317858 net.cpp:124] Setting up conv I0808 08:10:46.714828 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.714951 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.715095 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.715282 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.715459 1317858 net.cpp:408] ip <- conv I0808 08:10:46.715649 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.716078 1317858 net.cpp:124] Setting up ip I0808 08:10:46.716218 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.716338 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.716496 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.716616 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.716770 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.716881 1317858 net.cpp:408] loss <- label I0808 08:10:46.717074 1317858 net.cpp:382] loss -> loss I0808 08:10:46.717221 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.717408 1317858 net.cpp:124] Setting up loss I0808 08:10:46.717545 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.717700 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.717852 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.718027 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.718194 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.718326 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.718423 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.718519 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.718676 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.719274 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppwezmdon I0808 08:10:46.719460 1317858 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" } I0808 08:10:46.719897 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.720106 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.720232 1317858 net.cpp:382] data -> data I0808 08:10:46.720430 1317858 net.cpp:382] data -> label I0808 08:10:46.720584 1317858 net.cpp:124] Setting up data I0808 08:10:46.720693 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.720870 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.720970 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.721067 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.721221 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.721349 1317858 net.cpp:408] conv <- data I0808 08:10:46.721486 1317858 net.cpp:382] conv -> conv I0808 08:10:46.721716 1317858 net.cpp:124] Setting up conv I0808 08:10:46.722308 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.722437 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.722549 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.722658 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.722795 1317858 net.cpp:408] ip <- conv I0808 08:10:46.722930 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.723274 1317858 net.cpp:124] Setting up ip I0808 08:10:46.723384 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.723489 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.723713 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.723821 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.724037 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.724278 1317858 net.cpp:408] loss <- label I0808 08:10:46.724435 1317858 net.cpp:382] loss -> loss I0808 08:10:46.724668 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.724831 1317858 net.cpp:124] Setting up loss I0808 08:10:46.724953 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.725189 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.725577 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.725719 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.725843 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.725996 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.726121 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.726277 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.726400 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.726604 1317858 solver.cpp:57] Solver scaffolding done. I0808 08:10:46.727085 1317858 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/tmppwezmdon" snapshot_after_train: false I0808 08:10:46.727348 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmppwezmdon I0808 08:10:46.727758 1317858 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" } I0808 08:10:46.728155 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.732152 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.732546 1317858 net.cpp:382] data -> data I0808 08:10:46.732700 1317858 net.cpp:382] data -> label I0808 08:10:46.732860 1317858 net.cpp:124] Setting up data I0808 08:10:46.733054 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.733161 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.733289 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.733405 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.733620 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.733723 1317858 net.cpp:408] conv <- data I0808 08:10:46.733893 1317858 net.cpp:382] conv -> conv I0808 08:10:46.734122 1317858 net.cpp:124] Setting up conv I0808 08:10:46.734280 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.734383 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.734534 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.734710 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.734815 1317858 net.cpp:408] ip <- conv I0808 08:10:46.734925 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.735291 1317858 net.cpp:124] Setting up ip I0808 08:10:46.735394 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.735491 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.735592 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.735733 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.735828 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.735929 1317858 net.cpp:408] loss <- label I0808 08:10:46.736302 1317858 net.cpp:382] loss -> loss I0808 08:10:46.738237 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.738433 1317858 net.cpp:124] Setting up loss I0808 08:10:46.738538 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.738639 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.738852 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.738972 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.739116 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.739223 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.739367 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.739473 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.739660 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.740353 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppwezmdon I0808 08:10:46.740550 1317858 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" } I0808 08:10:46.741109 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.744583 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.744923 1317858 net.cpp:382] data -> data I0808 08:10:46.745056 1317858 net.cpp:382] data -> label I0808 08:10:46.745206 1317858 net.cpp:124] Setting up data I0808 08:10:46.745397 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.747301 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.747565 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.747702 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.747848 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.748046 1317858 net.cpp:408] conv <- data I0808 08:10:46.748221 1317858 net.cpp:382] conv -> conv I0808 08:10:46.748446 1317858 net.cpp:124] Setting up conv I0808 08:10:46.749825 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.749975 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.750088 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.751374 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.751516 1317858 net.cpp:408] ip <- conv I0808 08:10:46.751636 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.752084 1317858 net.cpp:124] Setting up ip I0808 08:10:46.752372 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.752540 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.752697 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.752827 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.752997 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.753113 1317858 net.cpp:408] loss <- label I0808 08:10:46.753262 1317858 net.cpp:382] loss -> loss I0808 08:10:46.753386 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.753599 1317858 net.cpp:124] Setting up loss I0808 08:10:46.753708 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.753857 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.753994 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.754139 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.754240 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.754359 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.754465 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.754668 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.754778 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.754971 1317858 solver.cpp:57] Solver scaffolding done. I0808 08:10:46.756721 1317858 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I0808 08:10:46.769061 1317858 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/tmp6eljj9xx" snapshot_after_train: false I0808 08:10:46.772734 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp6eljj9xx I0808 08:10:46.773306 1317858 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" } I0808 08:10:46.778949 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.779299 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.779428 1317858 net.cpp:382] data -> data I0808 08:10:46.779561 1317858 net.cpp:382] data -> label I0808 08:10:46.779697 1317858 net.cpp:124] Setting up data I0808 08:10:46.779806 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.779917 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.780215 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.780328 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.780437 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.780535 1317858 net.cpp:408] conv <- data I0808 08:10:46.780675 1317858 net.cpp:382] conv -> conv I0808 08:10:46.780882 1317858 net.cpp:124] Setting up conv I0808 08:10:46.781069 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.781174 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.781302 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.781471 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.781582 1317858 net.cpp:408] ip <- conv I0808 08:10:46.781728 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.782116 1317858 net.cpp:124] Setting up ip I0808 08:10:46.782230 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.782335 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.782574 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.782723 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.782841 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.782956 1317858 net.cpp:408] loss <- label I0808 08:10:46.783090 1317858 net.cpp:382] loss -> loss I0808 08:10:46.783203 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.783356 1317858 net.cpp:124] Setting up loss I0808 08:10:46.783463 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.783638 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.783792 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.783928 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.784077 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.784261 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.784372 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.784503 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.784623 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.785089 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp6eljj9xx I0808 08:10:46.785223 1317858 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" } I0808 08:10:46.785501 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.785620 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.785759 1317858 net.cpp:382] data -> data I0808 08:10:46.785863 1317858 net.cpp:382] data -> label I0808 08:10:46.786000 1317858 net.cpp:124] Setting up data I0808 08:10:46.786088 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.786224 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.786319 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.786435 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.786558 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.786686 1317858 net.cpp:408] conv <- data I0808 08:10:46.786793 1317858 net.cpp:382] conv -> conv I0808 08:10:46.786968 1317858 net.cpp:124] Setting up conv I0808 08:10:46.787070 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.787214 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.787323 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.787456 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.787554 1317858 net.cpp:408] ip <- conv I0808 08:10:46.787683 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.788056 1317858 net.cpp:124] Setting up ip I0808 08:10:46.788177 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.788326 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.788513 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.788650 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.788882 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.789011 1317858 net.cpp:408] loss <- label I0808 08:10:46.789180 1317858 net.cpp:382] loss -> loss I0808 08:10:46.789324 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.789510 1317858 net.cpp:124] Setting up loss I0808 08:10:46.789623 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.789860 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.790002 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.790208 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.790316 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.790467 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.790608 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.790748 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.790925 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.791113 1317858 solver.cpp:57] Solver scaffolding done. I0808 08:10:46.791574 1317858 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/tmp6eljj9xx" snapshot_after_train: false I0808 08:10:46.796115 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp6eljj9xx I0808 08:10:46.796882 1317858 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" } I0808 08:10:46.797338 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.797488 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.797752 1317858 net.cpp:382] data -> data I0808 08:10:46.797931 1317858 net.cpp:382] data -> label I0808 08:10:46.798086 1317858 net.cpp:124] Setting up data I0808 08:10:46.798218 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.798403 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.798527 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.798729 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.799023 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.799270 1317858 net.cpp:408] conv <- data I0808 08:10:46.799515 1317858 net.cpp:382] conv -> conv I0808 08:10:46.799814 1317858 net.cpp:124] Setting up conv I0808 08:10:46.800107 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.800320 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.800506 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.800766 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.800988 1317858 net.cpp:408] ip <- conv I0808 08:10:46.801400 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.801883 1317858 net.cpp:124] Setting up ip I0808 08:10:46.802074 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.802263 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.802534 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.802683 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.802857 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.803012 1317858 net.cpp:408] loss <- label I0808 08:10:46.803282 1317858 net.cpp:382] loss -> loss I0808 08:10:46.803575 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.803795 1317858 net.cpp:124] Setting up loss I0808 08:10:46.804030 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.804215 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.804558 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.804754 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.804986 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.805160 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.805441 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.805642 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.809818 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.810911 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp6eljj9xx I0808 08:10:46.811131 1317858 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" } I0808 08:10:46.811757 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.811911 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.812072 1317858 net.cpp:382] data -> data I0808 08:10:46.812206 1317858 net.cpp:382] data -> label I0808 08:10:46.812486 1317858 net.cpp:124] Setting up data I0808 08:10:46.812769 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.812928 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.813095 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.813309 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.813570 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.813678 1317858 net.cpp:408] conv <- data I0808 08:10:46.813791 1317858 net.cpp:382] conv -> conv I0808 08:10:46.813959 1317858 net.cpp:124] Setting up conv I0808 08:10:46.814057 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.814180 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.814285 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.814409 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.814505 1317858 net.cpp:408] ip <- conv I0808 08:10:46.814630 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.814942 1317858 net.cpp:124] Setting up ip I0808 08:10:46.815047 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.815155 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.815340 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.815486 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.815605 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.815703 1317858 net.cpp:408] loss <- label I0808 08:10:46.815804 1317858 net.cpp:382] loss -> loss I0808 08:10:46.815948 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.816205 1317858 net.cpp:124] Setting up loss I0808 08:10:46.816314 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.816449 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.816591 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.816709 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.816819 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.816964 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.817056 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.817198 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.817291 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.817481 1317858 solver.cpp:57] Solver scaffolding done. .I0808 08:10:46.836863 1317858 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/tmp1d8nrwfj" snapshot_after_train: false I0808 08:10:46.837380 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp1d8nrwfj I0808 08:10:46.837812 1317858 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" } I0808 08:10:46.838176 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.838291 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.838407 1317858 net.cpp:382] data -> data I0808 08:10:46.838557 1317858 net.cpp:382] data -> label I0808 08:10:46.838666 1317858 net.cpp:124] Setting up data I0808 08:10:46.838794 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.838907 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.839010 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.839138 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.839332 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.839579 1317858 net.cpp:408] conv <- data I0808 08:10:46.839713 1317858 net.cpp:382] conv -> conv I0808 08:10:46.839941 1317858 net.cpp:124] Setting up conv I0808 08:10:46.840081 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.840333 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.840499 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.840668 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.844125 1317858 net.cpp:408] ip <- conv I0808 08:10:46.844560 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.845229 1317858 net.cpp:124] Setting up ip I0808 08:10:46.845342 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.845461 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.845610 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.845775 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.845893 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.846114 1317858 net.cpp:408] loss <- label I0808 08:10:46.846254 1317858 net.cpp:382] loss -> loss I0808 08:10:46.846444 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.846849 1317858 net.cpp:124] Setting up loss I0808 08:10:46.847107 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.847438 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.847602 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.847734 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.848003 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.848169 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.852067 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.852324 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.852422 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.852887 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1d8nrwfj I0808 08:10:46.853017 1317858 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" } I0808 08:10:46.853421 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.853582 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.853689 1317858 net.cpp:382] data -> data I0808 08:10:46.853840 1317858 net.cpp:382] data -> label I0808 08:10:46.853974 1317858 net.cpp:124] Setting up data I0808 08:10:46.854189 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.854408 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.854540 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.860149 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.860570 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.860710 1317858 net.cpp:408] conv <- data I0808 08:10:46.860916 1317858 net.cpp:382] conv -> conv I0808 08:10:46.861194 1317858 net.cpp:124] Setting up conv I0808 08:10:46.861346 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.861481 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.861658 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.861806 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.861985 1317858 net.cpp:408] ip <- conv I0808 08:10:46.862120 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.862546 1317858 net.cpp:124] Setting up ip I0808 08:10:46.867362 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.867744 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.867906 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.868187 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.868352 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.868477 1317858 net.cpp:408] loss <- label I0808 08:10:46.868602 1317858 net.cpp:382] loss -> loss I0808 08:10:46.868775 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.868960 1317858 net.cpp:124] Setting up loss I0808 08:10:46.869088 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.869232 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.869459 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.869588 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.869774 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.869900 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.870038 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.870144 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.870290 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.870553 1317858 solver.cpp:57] Solver scaffolding done. I0808 08:10:46.870954 1317858 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/tmp1d8nrwfj" snapshot_after_train: false I0808 08:10:46.871196 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp1d8nrwfj I0808 08:10:46.871647 1317858 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" } I0808 08:10:46.872040 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.872188 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.872311 1317858 net.cpp:382] data -> data I0808 08:10:46.872486 1317858 net.cpp:382] data -> label I0808 08:10:46.872640 1317858 net.cpp:124] Setting up data I0808 08:10:46.872820 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.872970 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.873162 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.873306 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.873651 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.873946 1317858 net.cpp:408] conv <- data I0808 08:10:46.874145 1317858 net.cpp:382] conv -> conv I0808 08:10:46.874483 1317858 net.cpp:124] Setting up conv I0808 08:10:46.874725 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.874869 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.874994 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.875102 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.875227 1317858 net.cpp:408] ip <- conv I0808 08:10:46.875352 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.875741 1317858 net.cpp:124] Setting up ip I0808 08:10:46.875861 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.875999 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.876116 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.876242 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.876345 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.876484 1317858 net.cpp:408] loss <- label I0808 08:10:46.880175 1317858 net.cpp:382] loss -> loss I0808 08:10:46.880651 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.881228 1317858 net.cpp:124] Setting up loss I0808 08:10:46.881359 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.881489 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.881700 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.881839 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.881997 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.882122 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.882277 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.882390 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.882561 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.883165 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1d8nrwfj I0808 08:10:46.883338 1317858 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" } I0808 08:10:46.885497 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.885687 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.885800 1317858 net.cpp:382] data -> data I0808 08:10:46.885931 1317858 net.cpp:382] data -> label I0808 08:10:46.886108 1317858 net.cpp:124] Setting up data I0808 08:10:46.886214 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.886355 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.886454 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.886580 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.886698 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.886842 1317858 net.cpp:408] conv <- data I0808 08:10:46.886970 1317858 net.cpp:382] conv -> conv I0808 08:10:46.887168 1317858 net.cpp:124] Setting up conv I0808 08:10:46.887287 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.887529 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.887848 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.888105 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.888496 1317858 net.cpp:408] ip <- conv I0808 08:10:46.888779 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.889467 1317858 net.cpp:124] Setting up ip I0808 08:10:46.896139 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.896778 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.896914 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.897044 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.897221 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.897341 1317858 net.cpp:408] loss <- label I0808 08:10:46.897501 1317858 net.cpp:382] loss -> loss I0808 08:10:46.897720 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.897878 1317858 net.cpp:124] Setting up loss I0808 08:10:46.898062 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.898229 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.898406 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.898528 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.898643 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.898797 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.898921 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.899075 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.899202 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.899432 1317858 solver.cpp:57] Solver scaffolding done. I0808 08:10:46.900919 1317858 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I0808 08:10:46.901957 1317858 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I0808 08:10:46.904192 1317858 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/tmpd58pslid" snapshot_after_train: false I0808 08:10:46.912151 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmpd58pslid I0808 08:10:46.914361 1317858 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" } I0808 08:10:46.917506 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.924120 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.924446 1317858 net.cpp:382] data -> data I0808 08:10:46.924582 1317858 net.cpp:382] data -> label I0808 08:10:46.924701 1317858 net.cpp:124] Setting up data I0808 08:10:46.924801 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.925535 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.925691 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.925839 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.926075 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.926259 1317858 net.cpp:408] conv <- data I0808 08:10:46.926735 1317858 net.cpp:382] conv -> conv I0808 08:10:46.926985 1317858 net.cpp:124] Setting up conv I0808 08:10:46.927100 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.927227 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.927367 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.927496 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.927806 1317858 net.cpp:408] ip <- conv I0808 08:10:46.927937 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.928426 1317858 net.cpp:124] Setting up ip I0808 08:10:46.928542 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.928643 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.928751 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.928856 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.929001 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.929144 1317858 net.cpp:408] loss <- label I0808 08:10:46.929257 1317858 net.cpp:382] loss -> loss I0808 08:10:46.929404 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.929560 1317858 net.cpp:124] Setting up loss I0808 08:10:46.929661 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.929764 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.929919 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.930022 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.930150 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.930274 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.930402 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.930502 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.930639 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.931141 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpd58pslid I0808 08:10:46.931317 1317858 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" } I0808 08:10:46.931740 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.931872 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.932029 1317858 net.cpp:382] data -> data I0808 08:10:46.932210 1317858 net.cpp:382] data -> label I0808 08:10:46.932348 1317858 net.cpp:124] Setting up data I0808 08:10:46.932499 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.932618 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.932736 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.932883 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.933044 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.933166 1317858 net.cpp:408] conv <- data I0808 08:10:46.933323 1317858 net.cpp:382] conv -> conv I0808 08:10:46.933475 1317858 net.cpp:124] Setting up conv I0808 08:10:46.933668 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.933786 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.933920 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.934022 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.934232 1317858 net.cpp:408] ip <- conv I0808 08:10:46.934350 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.934717 1317858 net.cpp:124] Setting up ip I0808 08:10:46.934827 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.934931 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.935040 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.935175 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.935281 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.935410 1317858 net.cpp:408] loss <- label I0808 08:10:46.935514 1317858 net.cpp:382] loss -> loss I0808 08:10:46.935664 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.935814 1317858 net.cpp:124] Setting up loss I0808 08:10:46.935922 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.936064 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.936266 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.936393 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.936559 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.936666 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.936830 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.936954 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.937110 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.937278 1317858 solver.cpp:57] Solver scaffolding done. I0808 08:10:46.937815 1317858 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/tmpd58pslid" snapshot_after_train: false I0808 08:10:46.938129 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmpd58pslid I0808 08:10:46.938552 1317858 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" } I0808 08:10:46.943142 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.943591 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.944131 1317858 net.cpp:382] data -> data I0808 08:10:46.944304 1317858 net.cpp:382] data -> label I0808 08:10:46.944523 1317858 net.cpp:124] Setting up data I0808 08:10:46.944723 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.944840 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.944989 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.945104 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.945257 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.945358 1317858 net.cpp:408] conv <- data I0808 08:10:46.945506 1317858 net.cpp:382] conv -> conv I0808 08:10:46.945662 1317858 net.cpp:124] Setting up conv I0808 08:10:46.946377 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.946518 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.946641 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.946751 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.946851 1317858 net.cpp:408] ip <- conv I0808 08:10:46.946996 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.947394 1317858 net.cpp:124] Setting up ip I0808 08:10:46.947525 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.947652 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.947773 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.947932 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.948091 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.948251 1317858 net.cpp:408] loss <- label I0808 08:10:46.948427 1317858 net.cpp:382] loss -> loss I0808 08:10:46.948583 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.948734 1317858 net.cpp:124] Setting up loss I0808 08:10:46.948909 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.949044 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.949232 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.949352 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.949506 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.949623 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.949759 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.949851 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.949988 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.950484 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpd58pslid I0808 08:10:46.950647 1317858 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" } I0808 08:10:46.956252 1317858 layer_factory.hpp:77] Creating layer data I0808 08:10:46.956555 1317858 net.cpp:86] Creating Layer data I0808 08:10:46.956688 1317858 net.cpp:382] data -> data I0808 08:10:46.956821 1317858 net.cpp:382] data -> label I0808 08:10:46.957026 1317858 net.cpp:124] Setting up data I0808 08:10:46.957135 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) I0808 08:10:46.957244 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) I0808 08:10:46.957346 1317858 net.cpp:139] Memory required for data: 500 I0808 08:10:46.957486 1317858 layer_factory.hpp:77] Creating layer conv I0808 08:10:46.957625 1317858 net.cpp:86] Creating Layer conv I0808 08:10:46.961865 1317858 net.cpp:408] conv <- data I0808 08:10:46.961966 1317858 net.cpp:382] conv -> conv I0808 08:10:46.962051 1317858 net.cpp:124] Setting up conv I0808 08:10:46.962059 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) I0808 08:10:46.962070 1317858 net.cpp:139] Memory required for data: 16340 I0808 08:10:46.962090 1317858 layer_factory.hpp:77] Creating layer ip I0808 08:10:46.962107 1317858 net.cpp:86] Creating Layer ip I0808 08:10:46.962113 1317858 net.cpp:408] ip <- conv I0808 08:10:46.962123 1317858 net.cpp:382] ip -> ip_blob I0808 08:10:46.962329 1317858 net.cpp:124] Setting up ip I0808 08:10:46.962337 1317858 net.cpp:131] Top shape: 5 13 (65) I0808 08:10:46.962343 1317858 net.cpp:139] Memory required for data: 16600 I0808 08:10:46.962354 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.962366 1317858 net.cpp:86] Creating Layer loss I0808 08:10:46.962373 1317858 net.cpp:408] loss <- ip_blob I0808 08:10:46.962379 1317858 net.cpp:408] loss <- label I0808 08:10:46.962388 1317858 net.cpp:382] loss -> loss I0808 08:10:46.962404 1317858 layer_factory.hpp:77] Creating layer loss I0808 08:10:46.962428 1317858 net.cpp:124] Setting up loss I0808 08:10:46.962435 1317858 net.cpp:131] Top shape: (1) I0808 08:10:46.962442 1317858 net.cpp:134] with loss weight 1 I0808 08:10:46.962486 1317858 net.cpp:139] Memory required for data: 16604 I0808 08:10:46.962492 1317858 net.cpp:200] loss needs backward computation. I0808 08:10:46.962498 1317858 net.cpp:200] ip needs backward computation. I0808 08:10:46.962504 1317858 net.cpp:200] conv needs backward computation. I0808 08:10:46.962512 1317858 net.cpp:202] data does not need backward computation. I0808 08:10:46.962519 1317858 net.cpp:244] This network produces output loss I0808 08:10:46.962529 1317858 net.cpp:257] Network initialization done. I0808 08:10:46.962584 1317858 solver.cpp:57] Solver scaffolding done. I0808 08:10:46.963827 1317858 solver.cpp:289] Solving testnet I0808 08:10:46.963840 1317858 solver.cpp:290] Learning Rate Policy: inv I0808 08:10:46.963881 1317858 solver.cpp:347] Iteration 0, Testing net (#0) I0808 08:10:46.967686 1317858 solver.cpp:414] Test net output #0: loss = 73.5282 (* 1 = 73.5282 loss) I0808 08:10:46.973183 1317858 solver.cpp:239] Iteration 0 (-1.45157e-34 iter/s, 0.009s/100 iters), loss = 72.0596 I0808 08:10:46.973299 1317858 solver.cpp:258] Train net output #0: loss = 72.0596 (* 1 = 72.0596 loss) I0808 08:10:46.973321 1317858 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I0808 08:10:47.031577 1317858 solver.cpp:347] Iteration 10, Testing net (#0) I0808 08:10:47.039127 1317858 solver.cpp:414] Test net output #0: loss = 73.873 (* 1 = 73.873 loss) I0808 08:10:47.095194 1317858 solver.cpp:347] Iteration 20, Testing net (#0) I0808 08:10:47.102545 1317858 solver.cpp:414] Test net output #0: loss = 74.9418 (* 1 = 74.9418 loss) I0808 08:10:47.139820 1317858 solver.cpp:347] Iteration 30, Testing net (#0) I0808 08:10:47.151312 1317858 solver.cpp:414] Test net output #0: loss = 70.0497 (* 1 = 70.0497 loss) I0808 08:10:47.199308 1317858 solver.cpp:347] Iteration 40, Testing net (#0) I0808 08:10:47.206256 1317858 solver.cpp:414] Test net output #0: loss = 79.697 (* 1 = 79.697 loss) I0808 08:10:47.279420 1317858 solver.cpp:347] Iteration 50, Testing net (#0) I0808 08:10:47.290215 1317858 solver.cpp:414] Test net output #0: loss = 81.3003 (* 1 = 81.3003 loss) I0808 08:10:47.343075 1317858 solver.cpp:347] Iteration 60, Testing net (#0) I0808 08:10:47.350183 1317858 solver.cpp:414] Test net output #0: loss = 69.8151 (* 1 = 69.8151 loss) I0808 08:10:47.386626 1317858 solver.cpp:347] Iteration 70, Testing net (#0) I0808 08:10:47.394340 1317858 solver.cpp:414] Test net output #0: loss = 78.1213 (* 1 = 78.1213 loss) I0808 08:10:47.469439 1317858 solver.cpp:347] Iteration 80, Testing net (#0) I0808 08:10:47.473012 1317858 solver.cpp:414] Test net output #0: loss = 73.1216 (* 1 = 73.1216 loss) I0808 08:10:47.515898 1317858 solver.cpp:347] Iteration 90, Testing net (#0) I0808 08:10:47.526496 1317858 solver.cpp:414] Test net output #0: loss = 76.5499 (* 1 = 76.5499 loss) I0808 08:10:47.613478 1317858 solver.cpp:327] Iteration 100, loss = 74.1251 I0808 08:10:47.613898 1317858 solver.cpp:347] Iteration 100, Testing net (#0) I0808 08:10:47.616099 1317858 solver.cpp:414] Test net output #0: loss = 76.7997 (* 1 = 76.7997 loss) I0808 08:10:47.624107 1317858 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 67.978s OK make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pytest make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install cd caffe_cpu_build && make -j20 install DESTDIR=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[3]: Nothing to be done for 'preinstall'. make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Install the project... /usr/bin/cmake -P cmake_install.cmake -- Install configuration: "Release" -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeConfig.cmake -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: 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/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy -- Up-to-date: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py -- Installing: /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_install make[1]: Entering directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_python3 --requires=python/requirements.txt I: dh_python3 fs:343: renaming _caffe.so to _caffe.cpython-39-x86_64-linux-gnu.so dh_numpy3 make[1]: Leaving directory '/build/reproducible-path/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/reproducible-path/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/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -a -O-Scmake dh_installdeb -O-Scmake dh_gencontrol -O-Scmake 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 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 libcaffe-dev: 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 caffe-doc: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O-Scmake dh_builddeb -O-Scmake dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/1045749/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/1045749 and its subdirectories I: Current time: Thu Aug 8 08:24:19 +14 2024 I: pbuilder-time-stamp: 1723055059