I: pbuilder: network access will be disabled during build I: Current time: Mon Jun 8 16:31:25 -12 2020 I: pbuilder-time-stamp: 1591677085 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/buster-reproducible-base.tgz] I: copying local configuration I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [caffe_1.0.0+git20180821.99bd997-2.dsc] I: copying [./caffe_1.0.0+git20180821.99bd997.orig.tar.gz] I: copying [./caffe_1.0.0+git20180821.99bd997-2.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' gpgv: keyblock resource '/root/.gnupg/trustedkeys.kbx': General error gpgv: Signature made Wed Dec 5 16:26:36 2018 -12 gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./caffe_1.0.0+git20180821.99bd997-2.dsc dpkg-source: info: extracting caffe in caffe-1.0.0+git20180821.99bd997 dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997.orig.tar.gz dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997-2.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying cmake-using-basic-blas dpkg-source: info: applying cmake-fix-python-module-installdir dpkg-source: info: applying fix-more-float-comparison-precision-issue2 dpkg-source: info: applying cmake-link-correct-python-lib.patch I: using fakeroot in build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/17672/tmp/hooks/D02_print_environment starting I: set BUILDDIR='/build' BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other' BUILDUSERNAME='pbuilder1' BUILD_ARCH='armhf' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=3' DISTRIBUTION='' HOME='/root' HOST_ARCH='armhf' IFS=' ' INVOCATION_ID='fbd2aa33460c48e394d8fb2781054d65' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' MAIL='/var/mail/root' OPTIND='1' PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' PBCURRENTCOMMANDLINEOPERATION='build' PBUILDER_OPERATION='build' PBUILDER_PKGDATADIR='/usr/share/pbuilder' PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' PBUILDER_SYSCONFDIR='/etc' PPID='17672' PS1='# ' PS2='> ' PS4='+ ' PWD='/' SHELL='/bin/bash' SHLVL='2' SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/tmp.4OZ69oJIpg/pbuilderrc_UYD6 --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/buster-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.4OZ69oJIpg/b1 --logfile b1/build.log caffe_1.0.0+git20180821.99bd997-2.dsc' SUDO_GID='114' SUDO_UID='109' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' http_proxy='http://10.0.0.15:8000/' I: uname -a Linux ff2a 4.19.0-9-armmp-lpae #1 SMP Debian 4.19.118-2 (2020-04-29) armv7l GNU/Linux I: ls -l /bin total 3328 -rwxr-xr-x 1 root root 767656 Apr 17 2019 bash -rwxr-xr-x 3 root root 26052 Jul 10 2019 bunzip2 -rwxr-xr-x 3 root root 26052 Jul 10 2019 bzcat lrwxrwxrwx 1 root root 6 Jul 10 2019 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2227 Jul 10 2019 bzdiff lrwxrwxrwx 1 root root 6 Jul 10 2019 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Jun 24 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 10 2019 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3641 Jul 10 2019 bzgrep -rwxr-xr-x 3 root root 26052 Jul 10 2019 bzip2 -rwxr-xr-x 1 root root 9636 Jul 10 2019 bzip2recover lrwxrwxrwx 1 root root 6 Jul 10 2019 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 10 2019 bzmore -rwxr-xr-x 1 root root 22432 Feb 28 2019 cat -rwxr-xr-x 1 root root 38868 Feb 28 2019 chgrp -rwxr-xr-x 1 root root 38836 Feb 28 2019 chmod -rwxr-xr-x 1 root root 42972 Feb 28 2019 chown -rwxr-xr-x 1 root root 88376 Feb 28 2019 cp -rwxr-xr-x 1 root root 75516 Jan 17 2019 dash -rwxr-xr-x 1 root root 71648 Feb 28 2019 date -rwxr-xr-x 1 root root 51212 Feb 28 2019 dd -rwxr-xr-x 1 root root 55672 Feb 28 2019 df -rwxr-xr-x 1 root root 88444 Feb 28 2019 dir -rwxr-xr-x 1 root root 54872 Jan 9 2019 dmesg lrwxrwxrwx 1 root root 8 Sep 26 2018 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Sep 26 2018 domainname -> hostname -rwxr-xr-x 1 root root 22364 Feb 28 2019 echo -rwxr-xr-x 1 root root 28 Jan 7 2019 egrep -rwxr-xr-x 1 root root 18260 Feb 28 2019 false -rwxr-xr-x 1 root root 28 Jan 7 2019 fgrep -rwxr-xr-x 1 root root 47356 Jan 9 2019 findmnt -rwsr-xr-x 1 root root 21980 Apr 22 07:38 fusermount -rwxr-xr-x 1 root root 124508 Jan 7 2019 grep -rwxr-xr-x 2 root root 2345 Jan 5 2019 gunzip -rwxr-xr-x 1 root root 6375 Jan 5 2019 gzexe -rwxr-xr-x 1 root root 64232 Jan 5 2019 gzip -rwxr-xr-x 1 root root 13784 Sep 26 2018 hostname -rwxr-xr-x 1 root root 43044 Feb 28 2019 ln -rwxr-xr-x 1 root root 34932 Jul 26 2018 login -rwxr-xr-x 1 root root 88444 Feb 28 2019 ls -rwxr-xr-x 1 root root 67036 Jan 9 2019 lsblk -rwxr-xr-x 1 root root 47168 Feb 28 2019 mkdir -rwxr-xr-x 1 root root 43040 Feb 28 2019 mknod -rwxr-xr-x 1 root root 26552 Feb 28 2019 mktemp -rwxr-xr-x 1 root root 26024 Jan 9 2019 more -rwsr-xr-x 1 root root 34268 Jan 9 2019 mount -rwxr-xr-x 1 root root 9688 Jan 9 2019 mountpoint -rwxr-xr-x 1 root root 84284 Feb 28 2019 mv lrwxrwxrwx 1 root root 8 Sep 26 2018 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Feb 14 2019 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 22416 Feb 28 2019 pwd lrwxrwxrwx 1 root root 4 Apr 17 2019 rbash -> bash -rwxr-xr-x 1 root root 26504 Feb 28 2019 readlink -rwxr-xr-x 1 root root 42968 Feb 28 2019 rm -rwxr-xr-x 1 root root 26496 Feb 28 2019 rmdir -rwxr-xr-x 1 root root 14136 Jan 21 2019 run-parts -rwxr-xr-x 1 root root 76012 Dec 22 2018 sed lrwxrwxrwx 1 root root 4 Jun 7 20:24 sh -> dash -rwxr-xr-x 1 root root 22384 Feb 28 2019 sleep -rwxr-xr-x 1 root root 51124 Feb 28 2019 stty -rwsr-xr-x 1 root root 42472 Jan 9 2019 su -rwxr-xr-x 1 root root 22392 Feb 28 2019 sync -rwxr-xr-x 1 root root 283324 Apr 23 2019 tar -rwxr-xr-x 1 root root 9808 Jan 21 2019 tempfile -rwxr-xr-x 1 root root 63464 Feb 28 2019 touch -rwxr-xr-x 1 root root 18260 Feb 28 2019 true -rwxr-xr-x 1 root root 9636 Apr 22 07:38 ulockmgr_server -rwsr-xr-x 1 root root 21976 Jan 9 2019 umount -rwxr-xr-x 1 root root 22380 Feb 28 2019 uname -rwxr-xr-x 2 root root 2345 Jan 5 2019 uncompress -rwxr-xr-x 1 root root 88444 Feb 28 2019 vdir -rwxr-xr-x 1 root root 21980 Jan 9 2019 wdctl -rwxr-xr-x 1 root root 946 Jan 21 2019 which lrwxrwxrwx 1 root root 8 Sep 26 2018 ypdomainname -> hostname -rwxr-xr-x 1 root root 1983 Jan 5 2019 zcat -rwxr-xr-x 1 root root 1677 Jan 5 2019 zcmp -rwxr-xr-x 1 root root 5879 Jan 5 2019 zdiff -rwxr-xr-x 1 root root 29 Jan 5 2019 zegrep -rwxr-xr-x 1 root root 29 Jan 5 2019 zfgrep -rwxr-xr-x 1 root root 2080 Jan 5 2019 zforce -rwxr-xr-x 1 root root 7584 Jan 5 2019 zgrep -rwxr-xr-x 1 root root 2205 Jan 5 2019 zless -rwxr-xr-x 1 root root 1841 Jan 5 2019 zmore -rwxr-xr-x 1 root root 4552 Jan 5 2019 znew I: user script /srv/workspace/pbuilder/17672/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: armhf Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: bc, cmake, bash-completion, debhelper (>= 11~), dh-python, git, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4), libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-leveldb, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml, doxygen, doxygen-latex dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 18932 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on bc; however: Package bc is not installed. pbuilder-satisfydepends-dummy depends on cmake; however: Package cmake is not installed. pbuilder-satisfydepends-dummy depends on bash-completion; however: Package bash-completion is not installed. pbuilder-satisfydepends-dummy depends on debhelper (>= 11~); however: Package debhelper is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on git; however: Package git is not installed. pbuilder-satisfydepends-dummy depends on libboost-dev; however: Package libboost-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-filesystem-dev; however: Package libboost-filesystem-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-system-dev; however: Package libboost-system-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-thread-dev; however: Package libboost-thread-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-python-dev; however: Package libboost-python-dev is not installed. pbuilder-satisfydepends-dummy depends on libgflags-dev; however: Package libgflags-dev is not installed. pbuilder-satisfydepends-dummy depends on libgoogle-glog-dev; however: Package libgoogle-glog-dev is not installed. pbuilder-satisfydepends-dummy depends on libhdf5-dev; however: Package libhdf5-dev is not installed. pbuilder-satisfydepends-dummy depends on libleveldb-dev; however: Package libleveldb-dev is not installed. pbuilder-satisfydepends-dummy depends on liblmdb-dev; however: Package liblmdb-dev is not installed. pbuilder-satisfydepends-dummy depends on libblas-dev | libblas.so; however: Package libblas-dev is not installed. Package libblas.so is not installed. pbuilder-satisfydepends-dummy depends on libopencv-dev (>= 2.4); however: Package libopencv-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotobuf-dev; however: Package libprotobuf-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotoc-dev; however: Package libprotoc-dev is not installed. pbuilder-satisfydepends-dummy depends on libsnappy-dev; however: Package libsnappy-dev is not installed. pbuilder-satisfydepends-dummy depends on protobuf-compiler; however: Package protobuf-compiler is not installed. pbuilder-satisfydepends-dummy depends on python3-dev; however: Package python3-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on cython3; however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on ipython3; however: Package ipython3 is not installed. pbuilder-satisfydepends-dummy depends on python3; however: Package python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-distutils; however: Package python3-distutils is not installed. pbuilder-satisfydepends-dummy depends on python3-skimage; however: Package python3-skimage is not installed. pbuilder-satisfydepends-dummy depends on python3-protobuf; however: Package python3-protobuf is not installed. pbuilder-satisfydepends-dummy depends on python3-dateutil; however: Package python3-dateutil is not installed. pbuilder-satisfydepends-dummy depends on python3-gflags; however: Package python3-gflags is not installed. pbuilder-satisfydepends-dummy depends on python3-h5py; however: Package python3-h5py is not installed. pbuilder-satisfydepends-dummy depends on python3-leveldb; however: Package python3-leveldb is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-networkx; however: Package python3-networkx is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-pandas; however: Package python3-pandas is not installed. pbuilder-satisfydepends-dummy depends on python3-pil; however: Package python3-pil is not installed. pbuilder-satisfydepends-dummy depends on python3-pydotplus; however: Package python3-pydotplus is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-yaml; however: Package python3-yaml is not installed. pbuilder-satisfydepends-dummy depends on doxygen; however: Package doxygen is not installed. pbuilder-satisfydepends-dummy depends on doxygen-latex; however: Package doxygen-latex is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: adwaita-icon-theme{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bash-completion{a} bc{a} bsdmainutils{a} cm-super-minimal{a} cmake{a} cmake-data{a} cython3{a} dbus{a} dbus-user-session{a} dconf-gsettings-backend{a} dconf-service{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dmsetup{a} doxygen{a} doxygen-latex{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-lyx{a} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} git{a} git-man{a} glib-networking{a} glib-networking-common{a} glib-networking-services{a} graphviz{a} groff-base{a} gsettings-desktop-schemas{a} gtk-update-icon-cache{a} hdf5-helpers{a} hicolor-icon-theme{a} intltool-debian{a} ipython3{a} libaec-dev{a} libaec0{a} libaom0{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo9{a} libarpack2{a} libatk-bridge2.0-0{a} libatk1.0-0{a} libatk1.0-data{a} libatspi2.0-0{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavcodec-dev{a} libavcodec58{a} libavformat-dev{a} libavformat58{a} libavresample-dev{a} libavresample4{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.67-dev{a} libboost-atomic1.67.0{a} libboost-chrono1.67-dev{a} libboost-chrono1.67.0{a} libboost-date-time1.67-dev{a} libboost-date-time1.67.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.67-dev{a} libboost-filesystem1.67.0{a} libboost-python-dev{a} libboost-python1.67-dev{a} libboost-python1.67.0{a} libboost-serialization1.67-dev{a} libboost-serialization1.67.0{a} libboost-system-dev{a} libboost-system1.67-dev{a} libboost-thread-dev{a} libboost-thread1.67-dev{a} libboost-thread1.67.0{a} libboost1.67-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcdt5{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang1-6.0{a} libcodec2-0.8.1{a} libcolord2{a} libcroco3{a} libcryptsetup12{a} libcups2{a} libcupsimage2{a} libcurl3-gnutls{a} libcurl4{a} libdap25{a} libdapclient6v5{a} libdapserver7v5{a} libdatrie1{a} libdbus-1-3{a} libdc1394-22{a} libdc1394-22-dev{a} libdconf1{a} libdevmapper1.02.1{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-etnaviv1{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} liberror-perl{a} libevent-2.1-6{a} libevent-core-2.1-6{a} libevent-pthreads-2.1-6{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal20{a} libgdcm2-dev{a} libgdcm2.8{a} libgdk-pixbuf2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.7.1{a} libgeos-c1v5{a} libgeotiff2{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglib2.0-0{a} libglu1-mesa{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgme0{a} libgoogle-glog-dev{a} libgoogle-glog0v5{a} libgphoto2-6{a} libgphoto2-dev{a} libgphoto2-port12{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgsm1{a} libgssapi-krb5-2{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz-icu0{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103{a} libhdf5-cpp-103{a} libhdf5-dev{a} libhdf5-openmpi-103{a} libhwloc-plugins{a} libhwloc5{a} libibverbs1{a} libice6{a} libicu63{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase23{a} libimagequant0{a} libip4tc0{a} libjbig-dev{a} libjbig0{a} libjbig2dec0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjs-jquery{a} libjs-jquery-ui{a} libjson-c3{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp1{a} libk5crypto3{a} libkeyutils1{a} libkmlbase1{a} libkmlconvenience1{a} libkmldom1{a} libkmlengine1{a} libkmlregionator1{a} libkmlxsd1{a} libkmod2{a} libkpathsea6{a} libkrb5-3{a} libkrb5support0{a} liblab-gamut1{a} liblapack3{a} liblcms2-2{a} libldap-2.4-2{a} libldap-common{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm6.0{a} libllvm7{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec2{a} libmpg123-0{a} libncurses6{a} libnetcdf-c++4{a} libnetcdf13{a} libnghttp2-14{a} libnl-3-200{a} libnl-route-3-200{a} libnspr4{a} libnss3{a} libodbc1{a} libogdi3.2{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d3.2{a} libopencv-contrib-dev{a} libopencv-contrib3.2{a} libopencv-core-dev{a} libopencv-core3.2{a} libopencv-dev{a} libopencv-features2d-dev{a} libopencv-features2d3.2{a} libopencv-flann-dev{a} libopencv-flann3.2{a} libopencv-highgui-dev{a} libopencv-highgui3.2{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs3.2{a} libopencv-imgproc-dev{a} libopencv-imgproc3.2{a} libopencv-ml-dev{a} libopencv-ml3.2{a} libopencv-objdetect-dev{a} libopencv-objdetect3.2{a} libopencv-photo-dev{a} libopencv-photo3.2{a} libopencv-shape-dev{a} libopencv-shape3.2{a} libopencv-stitching-dev{a} libopencv-stitching3.2{a} libopencv-superres-dev{a} libopencv-superres3.2{a} libopencv-ts-dev{a} libopencv-video-dev{a} libopencv-video3.2{a} libopencv-videoio-dev{a} libopencv-videoio3.2{a} libopencv-videostab-dev{a} libopencv-videostab3.2{a} libopencv-viz-dev{a} libopencv-viz3.2{a} libopencv3.2-java{a} libopencv3.2-jni{a} libopenexr-dev{a} libopenexr23{a} libopenjp2-7{a} libopenmpi3{a} libopenmpt0{a} libopus0{a} libpam-systemd{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpciaccess0{a} libpcre2-8-0{a} libpipeline1{a} libpixman-1-0{a} libpmix2{a} libpng-dev{a} libpng16-16{a} libpoppler82{a} libpopt0{a} libpotrace0{a} libpq5{a} libprocps7{a} libproj13{a} libprotobuf-dev{a} libprotobuf-lite17{a} libprotobuf17{a} libprotoc-dev{a} libprotoc17{a} libproxy1v5{a} libpsl5{a} libptexenc1{a} libpython-dev{a} libpython-stdlib{a} libpython2-dev{a} libpython2-stdlib{a} libpython2.7{a} libpython2.7-dev{a} libpython2.7-minimal{a} libpython2.7-stdlib{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.7{a} libpython3.7-dev{a} libpython3.7-minimal{a} libpython3.7-stdlib{a} libqhull7{a} libraw1394-11{a} libraw1394-dev{a} libreadline7{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librsvg2-common{a} librtmp1{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libshine3{a} libsigsegv2{a} libsm6{a} libsnappy-dev{a} libsnappy1v5{a} libsocket++1{a} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libssh-gcrypt-4{a} libssh2-1{a} libssl1.1{a} libsuperlu5{a} libswresample-dev{a} libswresample3{a} libswscale-dev{a} libswscale5{a} libsynctex2{a} libsz2{a} libtbb-dev{a} libtbb2{a} libtcl8.6{a} libteckit0{a} libtesseract4{a} libtexlua52{a} libtexlua53{a} libtexluajit2{a} libthai-data{a} libthai0{a} libtheora0{a} libtiff-dev{a} libtiff5{a} libtiffxx5{a} libtk8.6{a} libtool{a} libtwolame0{a} libuchardet0{a} libunicode-linebreak-perl{a} liburiparser1{a} libusb-1.0-0{a} libuv1{a} libva-drm2{a} libva-x11-2{a} libva2{a} libvdpau1{a} libvorbis0a{a} libvorbisenc2{a} libvorbisfile3{a} libvpx5{a} libvtk6.3{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libwoff1{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-155{a} libx265-165{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxdot4{a} libxerces-c3.2{a} libxext6{a} libxfixes3{a} libxft2{a} libxi6{a} libxinerama1{a} libxkbcommon0{a} libxml2{a} libxmu6{a} libxpm4{a} libxrandr2{a} libxrender1{a} libxshmfence1{a} libxss1{a} libxt6{a} libxvidcore4{a} libxxf86vm1{a} libxxhash0{a} libyaml-0-2{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lsb-base{a} m4{a} man-db{a} mariadb-common{a} mime-support{a} mysql-common{a} ocl-icd-libopencl1{a} odbcinst{a} odbcinst1debian2{a} pkg-config{a} po-debconf{a} poppler-data{a} preview-latex-style{a} procps{a} proj-data{a} protobuf-compiler{a} python{a} python-dev{a} python-matplotlib-data{a} python-minimal{a} python2{a} python2-dev{a} python2-minimal{a} python2.7{a} python2.7-dev{a} python2.7-minimal{a} python3{a} python3-cloudpickle{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-ipython{a} python3-ipython-genutils{a} python3-kiwisolver{a} python3-leveldb{a} python3-lib2to3{a} python3-matplotlib{a} python3-minimal{a} python3-networkx{a} python3-nose{a} python3-numpy{a} python3-pandas{a} python3-pandas-lib{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-protobuf{a} python3-ptyprocess{a} python3-pydotplus{a} python3-pygments{a} python3-pyparsing{a} python3-pywt{a} python3-scipy{a} python3-simplegeneric{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.7{a} python3.7-dev{a} python3.7-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-extra-utils{a} texlive-font-utils{a} texlive-fonts-recommended{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-pictures{a} ttf-bitstream-vera{a} ucf{a} x11-common{a} xdg-utils{a} xkb-data{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: at-spi2-core ca-certificates curl fonts-droid-fallback fonts-liberation gsfonts ibverbs-providers javascript-common krb5-locales less libaacs0 libarchive-cpio-perl libcupsfilters1 libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libpng-tools libraw1394-tools libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lmodern lynx mesa-va-drivers mesa-vdpau-drivers opencv-data openmpi-bin openssh-client proj-bin ps2eps psmisc publicsuffix python3-bs4 python3-dask python3-gdal python3-html5lib python3-lxml python3-numexpr python3-olefile python3-pytest python3-tables python3-tk ruby tex-gyre texlive-plain-generic tipa tk va-driver-all vdpau-driver-all vdpau-va-driver wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 555 newly installed, 0 to remove and 0 not upgraded. Need to get 510 MB of archives. After unpacking 1714 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian buster/main armhf libapparmor1 armhf 2.13.2-10 [89.6 kB] Get: 2 http://deb.debian.org/debian buster/main armhf libcap2 armhf 1:2.25-2 [16.3 kB] Get: 3 http://deb.debian.org/debian buster/main armhf libargon2-1 armhf 0~20171227-0.2 [20.4 kB] Get: 4 http://deb.debian.org/debian buster/main armhf dmsetup armhf 2:1.02.155-3 [90.0 kB] Get: 5 http://deb.debian.org/debian buster/main armhf libdevmapper1.02.1 armhf 2:1.02.155-3 [131 kB] Get: 6 http://deb.debian.org/debian buster/main armhf libjson-c3 armhf 0.12.1+ds-2 [24.9 kB] Get: 7 http://deb.debian.org/debian buster/main armhf libssl1.1 armhf 1.1.1d-0+deb10u3 [1299 kB] Get: 8 http://deb.debian.org/debian buster/main armhf libcryptsetup12 armhf 2:2.1.0-5+deb10u2 [174 kB] Get: 9 http://deb.debian.org/debian buster/main armhf libidn11 armhf 1.33-2.2 [113 kB] Get: 10 http://deb.debian.org/debian buster/main armhf libip4tc0 armhf 1.8.2-4 [68.1 kB] Get: 11 http://deb.debian.org/debian buster/main armhf libkmod2 armhf 26-1 [46.4 kB] Get: 12 http://deb.debian.org/debian buster/main armhf systemd armhf 241-7~deb10u4 [3284 kB] Get: 13 http://deb.debian.org/debian buster/main armhf systemd-sysv armhf 241-7~deb10u4 [99.9 kB] Get: 14 http://deb.debian.org/debian buster/main armhf libbsd0 armhf 0.9.1-2 [103 kB] Get: 15 http://deb.debian.org/debian buster/main armhf bsdmainutils armhf 11.1.2+b1 [186 kB] Get: 16 http://deb.debian.org/debian buster/main armhf libuchardet0 armhf 0.0.6-3 [62.2 kB] Get: 17 http://deb.debian.org/debian buster/main armhf groff-base armhf 1.22.4-3 [828 kB] Get: 18 http://deb.debian.org/debian buster/main armhf libpipeline1 armhf 1.5.1-2 [26.8 kB] Get: 19 http://deb.debian.org/debian buster/main armhf man-db armhf 2.8.5-2 [1240 kB] Get: 20 http://deb.debian.org/debian buster/main armhf libpython2.7-minimal armhf 2.7.16-2+deb10u1 [395 kB] Get: 21 http://deb.debian.org/debian buster/main armhf python2.7-minimal armhf 2.7.16-2+deb10u1 [1171 kB] Get: 22 http://deb.debian.org/debian buster/main armhf python2-minimal armhf 2.7.16-1 [41.4 kB] Get: 23 http://deb.debian.org/debian buster/main armhf python-minimal armhf 2.7.16-1 [21.0 kB] Get: 24 http://deb.debian.org/debian buster/main armhf mime-support all 3.62 [37.2 kB] Get: 25 http://deb.debian.org/debian buster/main armhf libexpat1 armhf 2.2.6-2+deb10u1 [78.0 kB] Get: 26 http://deb.debian.org/debian buster/main armhf readline-common all 7.0-5 [70.6 kB] Get: 27 http://deb.debian.org/debian buster/main armhf libreadline7 armhf 7.0-5 [131 kB] Get: 28 http://deb.debian.org/debian buster/main armhf libpython2.7-stdlib armhf 2.7.16-2+deb10u1 [1837 kB] Get: 29 http://deb.debian.org/debian buster/main armhf python2.7 armhf 2.7.16-2+deb10u1 [305 kB] Get: 30 http://deb.debian.org/debian buster/main armhf libpython2-stdlib armhf 2.7.16-1 [20.8 kB] Get: 31 http://deb.debian.org/debian buster/main armhf libpython-stdlib armhf 2.7.16-1 [20.8 kB] Get: 32 http://deb.debian.org/debian buster/main armhf python2 armhf 2.7.16-1 [41.6 kB] Get: 33 http://deb.debian.org/debian buster/main armhf python armhf 2.7.16-1 [22.8 kB] Get: 34 http://deb.debian.org/debian buster/main armhf poppler-data all 0.4.9-2 [1473 kB] Get: 35 http://deb.debian.org/debian buster/main armhf libpython3.7-minimal armhf 3.7.3-2+deb10u1 [582 kB] Get: 36 http://deb.debian.org/debian buster/main armhf python3.7-minimal armhf 3.7.3-2+deb10u1 [1465 kB] Get: 37 http://deb.debian.org/debian buster/main armhf python3-minimal armhf 3.7.3-1 [36.6 kB] Get: 38 http://deb.debian.org/debian buster/main armhf libmpdec2 armhf 2.4.2-2 [69.3 kB] Get: 39 http://deb.debian.org/debian buster/main armhf libpython3.7-stdlib armhf 3.7.3-2+deb10u1 [1660 kB] Get: 40 http://deb.debian.org/debian buster/main armhf python3.7 armhf 3.7.3-2+deb10u1 [330 kB] Get: 41 http://deb.debian.org/debian buster/main armhf libpython3-stdlib armhf 3.7.3-1 [20.0 kB] Get: 42 http://deb.debian.org/debian buster/main armhf python3 armhf 3.7.3-1 [61.5 kB] Get: 43 http://deb.debian.org/debian buster/main armhf sensible-utils all 0.0.12 [15.8 kB] Get: 44 http://deb.debian.org/debian buster/main armhf ucf all 3.0038+nmu1 [69.0 kB] Get: 45 http://deb.debian.org/debian buster/main armhf tex-common all 6.11 [53.1 kB] Get: 46 http://deb.debian.org/debian buster/main armhf libncurses6 armhf 6.1+20181013-2+deb10u2 [79.8 kB] Get: 47 http://deb.debian.org/debian buster/main armhf libprocps7 armhf 2:3.3.15-2 [58.7 kB] Get: 48 http://deb.debian.org/debian buster/main armhf lsb-base all 10.2019051400 [28.4 kB] Get: 49 http://deb.debian.org/debian buster/main armhf procps armhf 2:3.3.15-2 [248 kB] Get: 50 http://deb.debian.org/debian buster/main armhf bash-completion all 1:2.8-6 [208 kB] Get: 51 http://deb.debian.org/debian buster/main armhf libdbus-1-3 armhf 1.12.16-1 [190 kB] Get: 52 http://deb.debian.org/debian buster/main armhf dbus armhf 1.12.16-1 [217 kB] Get: 53 http://deb.debian.org/debian buster/main armhf libmagic-mgc armhf 1:5.35-4+deb10u1 [242 kB] Get: 54 http://deb.debian.org/debian buster/main armhf libmagic1 armhf 1:5.35-4+deb10u1 [110 kB] Get: 55 http://deb.debian.org/debian buster/main armhf file armhf 1:5.35-4+deb10u1 [65.5 kB] Get: 56 http://deb.debian.org/debian buster/main armhf gettext-base armhf 0.19.8.1-9 [118 kB] Get: 57 http://deb.debian.org/debian buster/main armhf libpam-systemd armhf 241-7~deb10u4 [195 kB] Get: 58 http://deb.debian.org/debian buster/main armhf hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 59 http://deb.debian.org/debian buster/main armhf libglib2.0-0 armhf 2.58.3-2+deb10u2 [1101 kB] Get: 60 http://deb.debian.org/debian buster/main armhf libjpeg62-turbo armhf 1:1.5.2-2+b1 [112 kB] Get: 61 http://deb.debian.org/debian buster/main armhf libpng16-16 armhf 1.6.36-6 [275 kB] Get: 62 http://deb.debian.org/debian buster/main armhf libjbig0 armhf 2.1-3.1+b2 [28.4 kB] Get: 63 http://deb.debian.org/debian buster/main armhf libwebp6 armhf 0.6.1-2 [229 kB] Get: 64 http://deb.debian.org/debian buster/main armhf libtiff5 armhf 4.1.0+git191117-2~deb10u1 [252 kB] Get: 65 http://deb.debian.org/debian buster/main armhf libxau6 armhf 1:1.0.8-1+b2 [19.1 kB] Get: 66 http://deb.debian.org/debian buster/main armhf libxdmcp6 armhf 1:1.1.2-3 [24.9 kB] Get: 67 http://deb.debian.org/debian buster/main armhf libxcb1 armhf 1.13.1-2 [132 kB] Get: 68 http://deb.debian.org/debian buster/main armhf libx11-data all 2:1.6.7-1 [298 kB] Get: 69 http://deb.debian.org/debian buster/main armhf libx11-6 armhf 2:1.6.7-1 [698 kB] Get: 70 http://deb.debian.org/debian buster/main armhf libicu63 armhf 63.1-6+deb10u1 [8005 kB] Get: 71 http://deb.debian.org/debian buster/main armhf libxml2 armhf 2.9.4+dfsg1-7+b3 [595 kB] Get: 72 http://deb.debian.org/debian buster/main armhf shared-mime-info armhf 1.10-1 [763 kB] Get: 73 http://deb.debian.org/debian buster/main armhf libgdk-pixbuf2.0-common all 2.38.1+dfsg-1 [316 kB] Get: 74 http://deb.debian.org/debian buster/main armhf libgdk-pixbuf2.0-0 armhf 2.38.1+dfsg-1 [161 kB] Get: 75 http://deb.debian.org/debian buster/main armhf gtk-update-icon-cache armhf 3.24.5-1 [80.4 kB] Get: 76 http://deb.debian.org/debian buster/main armhf libfreetype6 armhf 2.9.1-3+deb10u1 [322 kB] Get: 77 http://deb.debian.org/debian buster/main armhf fonts-dejavu-core all 2.37-1 [1068 kB] Get: 78 http://deb.debian.org/debian buster/main armhf ttf-bitstream-vera all 1.10-8 [352 kB] Get: 79 http://deb.debian.org/debian buster/main armhf fontconfig-config all 2.13.1-2 [280 kB] Get: 80 http://deb.debian.org/debian buster/main armhf libfontconfig1 armhf 2.13.1-2 [328 kB] Get: 81 http://deb.debian.org/debian buster/main armhf libpixman-1-0 armhf 0.36.0-1 [465 kB] Get: 82 http://deb.debian.org/debian buster/main armhf libxcb-render0 armhf 1.13.1-2 [108 kB] Get: 83 http://deb.debian.org/debian buster/main armhf libxcb-shm0 armhf 1.13.1-2 [99.0 kB] Get: 84 http://deb.debian.org/debian buster/main armhf libxext6 armhf 2:1.3.3-1+b2 [48.1 kB] Get: 85 http://deb.debian.org/debian buster/main armhf libxrender1 armhf 1:0.9.10-1 [29.9 kB] Get: 86 http://deb.debian.org/debian buster/main armhf libcairo2 armhf 1.16.0-4 [616 kB] Get: 87 http://deb.debian.org/debian buster/main armhf libcroco3 armhf 0.6.12-3 [133 kB] Get: 88 http://deb.debian.org/debian buster/main armhf fontconfig armhf 2.13.1-2 [404 kB] Get: 89 http://deb.debian.org/debian buster/main armhf libfribidi0 armhf 1.0.5-3.1+deb10u1 [61.7 kB] Get: 90 http://deb.debian.org/debian buster/main armhf libthai-data all 0.1.28-2 [170 kB] Get: 91 http://deb.debian.org/debian buster/main armhf libdatrie1 armhf 0.2.12-2 [35.8 kB] Get: 92 http://deb.debian.org/debian buster/main armhf libthai0 armhf 0.1.28-2 [50.7 kB] Get: 93 http://deb.debian.org/debian buster/main armhf libpango-1.0-0 armhf 1.42.4-8~deb10u1 [169 kB] Get: 94 http://deb.debian.org/debian buster/main armhf libgraphite2-3 armhf 1.3.13-7 [70.3 kB] Get: 95 http://deb.debian.org/debian buster/main armhf libharfbuzz0b armhf 2.3.1-1 [1151 kB] Get: 96 http://deb.debian.org/debian buster/main armhf libpangoft2-1.0-0 armhf 1.42.4-8~deb10u1 [62.7 kB] Get: 97 http://deb.debian.org/debian buster/main armhf libpangocairo-1.0-0 armhf 1.42.4-8~deb10u1 [52.2 kB] Get: 98 http://deb.debian.org/debian buster/main armhf librsvg2-2 armhf 2.44.10-2.1 [955 kB] Get: 99 http://deb.debian.org/debian buster/main armhf librsvg2-common armhf 2.44.10-2.1 [22.9 kB] Get: 100 http://deb.debian.org/debian buster/main armhf adwaita-icon-theme all 3.30.1-1 [11.7 MB] Get: 101 http://deb.debian.org/debian buster/main armhf libsigsegv2 armhf 2.12-2 [32.1 kB] Get: 102 http://deb.debian.org/debian buster/main armhf m4 armhf 1.4.18-2 [190 kB] Get: 103 http://deb.debian.org/debian buster/main armhf autoconf all 2.69-11 [341 kB] Get: 104 http://deb.debian.org/debian buster/main armhf autotools-dev all 20180224.1 [77.0 kB] Get: 105 http://deb.debian.org/debian buster/main armhf automake all 1:1.16.1-4 [771 kB] Get: 106 http://deb.debian.org/debian buster/main armhf autopoint all 0.19.8.1-9 [434 kB] Get: 107 http://deb.debian.org/debian buster/main armhf bc armhf 1.07.1-2+b1 [104 kB] Get: 108 http://deb.debian.org/debian buster/main armhf libpaper1 armhf 1.1.28 [20.5 kB] Get: 109 http://deb.debian.org/debian buster/main armhf libpaper-utils armhf 1.1.28 [17.6 kB] Get: 110 http://deb.debian.org/debian buster/main armhf libkpathsea6 armhf 2018.20181218.49446-1 [157 kB] Get: 111 http://deb.debian.org/debian buster/main armhf libptexenc1 armhf 2018.20181218.49446-1 [58.1 kB] Get: 112 http://deb.debian.org/debian buster/main armhf libsynctex2 armhf 2018.20181218.49446-1 [67.4 kB] Get: 113 http://deb.debian.org/debian buster/main armhf libtexlua52 armhf 2018.20181218.49446-1 [86.7 kB] Get: 114 http://deb.debian.org/debian buster/main armhf libtexlua53 armhf 2018.20181218.49446-1 [97.8 kB] Get: 115 http://deb.debian.org/debian buster/main armhf libtexluajit2 armhf 2018.20181218.49446-1 [201 kB] Get: 116 http://deb.debian.org/debian buster/main armhf t1utils armhf 1.41-3 [54.4 kB] Get: 117 http://deb.debian.org/debian buster/main armhf libbrotli1 armhf 1.0.7-2 [259 kB] Get: 118 http://deb.debian.org/debian buster/main armhf libgs9-common all 9.27~dfsg-2+deb10u3 [5136 kB] Get: 119 http://deb.debian.org/debian buster/main armhf libavahi-common-data armhf 0.7-4+b1 [122 kB] Get: 120 http://deb.debian.org/debian buster/main armhf libavahi-common3 armhf 0.7-4+b1 [51.1 kB] Get: 121 http://deb.debian.org/debian buster/main armhf libavahi-client3 armhf 0.7-4+b1 [54.5 kB] Get: 122 http://deb.debian.org/debian buster/main armhf libkeyutils1 armhf 1.6-6 [13.9 kB] Get: 123 http://deb.debian.org/debian buster/main armhf libkrb5support0 armhf 1.17-3 [62.3 kB] Get: 124 http://deb.debian.org/debian buster/main armhf libk5crypto3 armhf 1.17-3 [119 kB] Get: 125 http://deb.debian.org/debian buster/main armhf libkrb5-3 armhf 1.17-3 [323 kB] Get: 126 http://deb.debian.org/debian buster/main armhf libgssapi-krb5-2 armhf 1.17-3 [137 kB] Get: 127 http://deb.debian.org/debian buster/main armhf libcups2 armhf 2.2.10-6+deb10u3 [291 kB] Get: 128 http://deb.debian.org/debian buster/main armhf libcupsimage2 armhf 2.2.10-6+deb10u3 [130 kB] Get: 129 http://deb.debian.org/debian buster/main armhf libijs-0.35 armhf 0.35-14 [16.7 kB] Get: 130 http://deb.debian.org/debian buster/main armhf libjbig2dec0 armhf 0.16-1 [54.5 kB] Get: 131 http://deb.debian.org/debian buster/main armhf liblcms2-2 armhf 2.9-3 [119 kB] Get: 132 http://deb.debian.org/debian buster/main armhf libopenjp2-7 armhf 2.3.0-2+deb10u1 [143 kB] Get: 133 http://deb.debian.org/debian buster/main armhf libgs9 armhf 9.27~dfsg-2+deb10u3 [1900 kB] Get: 134 http://deb.debian.org/debian buster/main armhf libharfbuzz-icu0 armhf 2.3.1-1 [833 kB] Get: 135 http://deb.debian.org/debian buster/main armhf x11-common all 1:7.7+19 [251 kB] Get: 136 http://deb.debian.org/debian buster/main armhf libice6 armhf 2:1.0.9-2 [51.7 kB] Get: 137 http://deb.debian.org/debian buster/main armhf libpotrace0 armhf 1.15-1 [23.9 kB] Get: 138 http://deb.debian.org/debian buster/main armhf libsm6 armhf 2:1.2.3-1 [33.0 kB] Get: 139 http://deb.debian.org/debian buster/main armhf libteckit0 armhf 2.5.8+ds2-5 [246 kB] Get: 140 http://deb.debian.org/debian buster/main armhf libwoff1 armhf 1.0.2-1 [35.8 kB] Get: 141 http://deb.debian.org/debian buster/main armhf libxt6 armhf 1:1.1.5-1+b3 [159 kB] Get: 142 http://deb.debian.org/debian buster/main armhf libxmu6 armhf 2:1.1.2-2+b3 [52.7 kB] Get: 143 http://deb.debian.org/debian buster/main armhf libxpm4 armhf 1:3.5.12-1 [44.0 kB] Get: 144 http://deb.debian.org/debian buster/main armhf libxaw7 armhf 2:1.0.13-1+b2 [167 kB] Get: 145 http://deb.debian.org/debian buster/main armhf libxi6 armhf 2:1.7.9-1 [78.4 kB] Get: 146 http://deb.debian.org/debian buster/main armhf libxxhash0 armhf 0.6.5-2 [10.2 kB] Get: 147 http://deb.debian.org/debian buster/main armhf libzzip-0-13 armhf 0.13.62-3.2 [51.6 kB] Get: 148 http://deb.debian.org/debian buster/main armhf texlive-binaries armhf 2018.20181218.49446-1 [8656 kB] Get: 149 http://deb.debian.org/debian buster/main armhf xdg-utils all 1.1.3-1+deb10u1 [73.7 kB] Get: 150 http://deb.debian.org/debian buster/main armhf texlive-base all 2018.20190227-2 [19.7 MB] Get: 151 http://deb.debian.org/debian buster/main armhf fonts-lmodern all 2.004.5-6 [4539 kB] Get: 152 http://deb.debian.org/debian buster/main armhf texlive-latex-base all 2018.20190227-2 [984 kB] Get: 153 http://deb.debian.org/debian buster/main armhf texlive-latex-recommended all 2018.20190227-2 [15.2 MB] Get: 154 http://deb.debian.org/debian buster/main armhf cm-super-minimal all 0.3.4-14 [5814 kB] Get: 155 http://deb.debian.org/debian buster/main armhf cmake-data all 3.13.4-1 [1476 kB] Get: 156 http://deb.debian.org/debian buster/main armhf libarchive13 armhf 3.3.3-4+deb10u1 [277 kB] Get: 157 http://deb.debian.org/debian buster/main armhf libsasl2-modules-db armhf 2.1.27+dfsg-1+deb10u1 [67.4 kB] Get: 158 http://deb.debian.org/debian buster/main armhf libsasl2-2 armhf 2.1.27+dfsg-1+deb10u1 [98.9 kB] Get: 159 http://deb.debian.org/debian buster/main armhf libldap-common all 2.4.47+dfsg-3+deb10u2 [89.7 kB] Get: 160 http://deb.debian.org/debian buster/main armhf libldap-2.4-2 armhf 2.4.47+dfsg-3+deb10u2 [202 kB] Get: 161 http://deb.debian.org/debian buster/main armhf libnghttp2-14 armhf 1.36.0-2+deb10u1 [74.4 kB] Get: 162 http://deb.debian.org/debian buster/main armhf libpsl5 armhf 0.20.2-2 [52.4 kB] Get: 163 http://deb.debian.org/debian buster/main armhf librtmp1 armhf 2.4+20151223.gitfa8646d.1-2 [54.9 kB] Get: 164 http://deb.debian.org/debian buster/main armhf libssh2-1 armhf 1.8.0-2.1 [129 kB] Get: 165 http://deb.debian.org/debian buster/main armhf libcurl4 armhf 7.64.0-4+deb10u1 [297 kB] Get: 166 http://deb.debian.org/debian buster/main armhf libjsoncpp1 armhf 1.7.4-3 [67.8 kB] Get: 167 http://deb.debian.org/debian buster/main armhf librhash0 armhf 1.3.8-1 [134 kB] Get: 168 http://deb.debian.org/debian buster/main armhf libuv1 armhf 1.24.1-1 [98.0 kB] Get: 169 http://deb.debian.org/debian buster/main armhf cmake armhf 3.13.4-1 [2848 kB] Get: 170 http://deb.debian.org/debian buster/main armhf cython3 armhf 0.29.2-2 [1330 kB] Get: 171 http://deb.debian.org/debian buster/main armhf dbus-user-session armhf 1.12.16-1 [93.4 kB] Get: 172 http://deb.debian.org/debian buster/main armhf libdconf1 armhf 0.30.1-2 [36.4 kB] Get: 173 http://deb.debian.org/debian buster/main armhf dconf-service armhf 0.30.1-2 [31.9 kB] Get: 174 http://deb.debian.org/debian buster/main armhf dconf-gsettings-backend armhf 0.30.1-2 [24.8 kB] Get: 175 http://deb.debian.org/debian buster/main armhf libtool all 2.4.6-9 [547 kB] Get: 176 http://deb.debian.org/debian buster/main armhf dh-autoreconf all 19 [16.9 kB] Get: 177 http://deb.debian.org/debian buster/main armhf libarchive-zip-perl all 1.64-1 [96.8 kB] Get: 178 http://deb.debian.org/debian buster/main armhf libfile-stripnondeterminism-perl all 1.1.2-1 [19.8 kB] Get: 179 http://deb.debian.org/debian buster/main armhf dh-strip-nondeterminism all 1.1.2-1 [13.0 kB] Get: 180 http://deb.debian.org/debian buster/main armhf libelf1 armhf 0.176-1.1 [158 kB] Get: 181 http://deb.debian.org/debian buster/main armhf dwz armhf 0.12-3 [72.0 kB] Get: 182 http://deb.debian.org/debian buster/main armhf gettext armhf 0.19.8.1-9 [1242 kB] Get: 183 http://deb.debian.org/debian buster/main armhf intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 184 http://deb.debian.org/debian buster/main armhf po-debconf all 1.0.21 [248 kB] Get: 185 http://deb.debian.org/debian buster/main armhf debhelper all 12.1.1 [1016 kB] Get: 186 http://deb.debian.org/debian buster/main armhf python3-lib2to3 all 3.7.3-1 [76.7 kB] Get: 187 http://deb.debian.org/debian buster/main armhf python3-distutils all 3.7.3-1 [142 kB] Get: 188 http://deb.debian.org/debian buster/main armhf dh-python all 3.20190308 [99.3 kB] Get: 189 http://deb.debian.org/debian buster/main armhf libedit2 armhf 3.1-20181209-1 [79.5 kB] Get: 190 http://deb.debian.org/debian buster/main armhf libllvm6.0 armhf 1:6.0.1-10 [13.1 MB] Get: 191 http://deb.debian.org/debian buster/main armhf libclang1-6.0 armhf 1:6.0.1-10 [6029 kB] Get: 192 http://deb.debian.org/debian buster/main armhf doxygen armhf 1.8.13-10 [3568 kB] Get: 193 http://deb.debian.org/debian buster/main armhf libsombok3 armhf 2.4.0-2 [26.8 kB] Get: 194 http://deb.debian.org/debian buster/main armhf libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 195 http://deb.debian.org/debian buster/main armhf libunicode-linebreak-perl armhf 0.0.20190101-1 [99.3 kB] Get: 196 http://deb.debian.org/debian buster/main armhf texlive-extra-utils all 2018.20190227-2 [39.4 MB] Get: 197 http://deb.debian.org/debian buster/main armhf preview-latex-style all 11.91-2 [201 kB] Get: 198 http://deb.debian.org/debian buster/main armhf texlive-pictures all 2018.20190227-2 [8201 kB] Get: 199 http://deb.debian.org/debian buster/main armhf texlive-latex-extra all 2018.20190227-2 [12.3 MB] Get: 200 http://deb.debian.org/debian buster/main armhf texlive-font-utils all 2018.20190227-2 [1746 kB] Get: 201 http://deb.debian.org/debian buster/main armhf ghostscript armhf 9.27~dfsg-2+deb10u3 [94.5 kB] Get: 202 http://deb.debian.org/debian buster/main armhf texlive-fonts-recommended all 2018.20190227-2 [5228 kB] Get: 203 http://deb.debian.org/debian buster/main armhf doxygen-latex all 1.8.13-10 [113 kB] Get: 204 http://deb.debian.org/debian buster/main armhf fonts-lyx all 2.3.2-1 [199 kB] Get: 205 http://deb.debian.org/debian buster/main armhf gdal-data all 2.4.0+dfsg-1 [744 kB] Get: 206 http://deb.debian.org/debian buster/main armhf libcurl3-gnutls armhf 7.64.0-4+deb10u1 [295 kB] Get: 207 http://deb.debian.org/debian buster/main armhf libpcre2-8-0 armhf 10.32-5 [190 kB] Get: 208 http://deb.debian.org/debian buster/main armhf liberror-perl all 0.17027-2 [30.9 kB] Get: 209 http://deb.debian.org/debian buster/main armhf git-man all 1:2.20.1-2+deb10u3 [1620 kB] Get: 210 http://deb.debian.org/debian buster/main armhf git armhf 1:2.20.1-2+deb10u3 [4542 kB] Get: 211 http://deb.debian.org/debian buster/main armhf libproxy1v5 armhf 0.4.15-5 [51.0 kB] Get: 212 http://deb.debian.org/debian buster/main armhf glib-networking-common all 2.58.0-2 [59.3 kB] Get: 213 http://deb.debian.org/debian buster/main armhf glib-networking-services armhf 2.58.0-2 [12.8 kB] Get: 214 http://deb.debian.org/debian buster/main armhf gsettings-desktop-schemas all 3.28.1-1 [529 kB] Get: 215 http://deb.debian.org/debian buster/main armhf glib-networking armhf 2.58.0-2 [48.2 kB] Get: 216 http://deb.debian.org/debian buster/main armhf libcdt5 armhf 2.40.1-6 [58.1 kB] Get: 217 http://deb.debian.org/debian buster/main armhf libcgraph6 armhf 2.40.1-6 [77.3 kB] Get: 218 http://deb.debian.org/debian buster/main armhf libgd3 armhf 2.2.5-5.2 [117 kB] Get: 219 http://deb.debian.org/debian buster/main armhf libgts-0.7-5 armhf 0.7.6+darcs121130-4 [137 kB] Get: 220 http://deb.debian.org/debian buster/main armhf libltdl7 armhf 2.4.6-9 [387 kB] Get: 221 http://deb.debian.org/debian buster/main armhf libpathplan4 armhf 2.40.1-6 [61.3 kB] Get: 222 http://deb.debian.org/debian buster/main armhf libxdot4 armhf 2.40.1-6 [55.4 kB] Get: 223 http://deb.debian.org/debian buster/main armhf libgvc6 armhf 2.40.1-6 [556 kB] Get: 224 http://deb.debian.org/debian buster/main armhf libgvpr2 armhf 2.40.1-6 [189 kB] Get: 225 http://deb.debian.org/debian buster/main armhf liblab-gamut1 armhf 2.40.1-6 [220 kB] Get: 226 http://deb.debian.org/debian buster/main armhf graphviz armhf 2.40.1-6 [518 kB] Get: 227 http://deb.debian.org/debian buster/main armhf hdf5-helpers armhf 1.10.4+repack-10 [35.2 kB] Get: 228 http://deb.debian.org/debian buster/main armhf python3-decorator all 4.3.0-1.1 [14.5 kB] Get: 229 http://deb.debian.org/debian buster/main armhf python3-ptyprocess all 0.6.0-1 [13.2 kB] Get: 230 http://deb.debian.org/debian buster/main armhf python3-pexpect all 4.6.0-1 [52.4 kB] Get: 231 http://deb.debian.org/debian buster/main armhf python3-pickleshare all 0.7.5-1 [7348 B] Get: 232 http://deb.debian.org/debian buster/main armhf python3-pkg-resources all 40.8.0-1 [153 kB] Get: 233 http://deb.debian.org/debian buster/main armhf python3-six all 1.12.0-1 [15.7 kB] Get: 234 http://deb.debian.org/debian buster/main armhf python3-wcwidth all 0.1.7+dfsg1-3 [15.0 kB] Get: 235 http://deb.debian.org/debian buster/main armhf python3-prompt-toolkit all 1.0.15-1 [179 kB] Get: 236 http://deb.debian.org/debian buster/main armhf python3-pygments all 2.3.1+dfsg-1 [594 kB] Get: 237 http://deb.debian.org/debian buster/main armhf python3-simplegeneric all 0.8.1-2 [11.1 kB] Get: 238 http://deb.debian.org/debian buster/main armhf python3-ipython-genutils all 0.2.0-1 [20.9 kB] Get: 239 http://deb.debian.org/debian buster/main armhf python3-traitlets all 4.3.2-1 [60.7 kB] Get: 240 http://deb.debian.org/debian buster/main armhf python3-ipython all 5.8.0-1 [390 kB] Get: 241 http://deb.debian.org/debian buster/main armhf ipython3 all 5.8.0-1 [14.1 kB] Get: 242 http://deb.debian.org/debian buster/main armhf libaec0 armhf 1.0.2-1 [21.9 kB] Get: 243 http://deb.debian.org/debian buster/main armhf libsz2 armhf 1.0.2-1 [6584 B] Get: 244 http://deb.debian.org/debian buster/main armhf libaec-dev armhf 1.0.2-1 [19.7 kB] Get: 245 http://deb.debian.org/debian buster/main armhf libaom0 armhf 1.0.0-3 [776 kB] Get: 246 http://deb.debian.org/debian buster/main armhf libgfortran5 armhf 8.3.0-6 [213 kB] Get: 247 http://deb.debian.org/debian buster/main armhf libblas3 armhf 3.8.0-2 [109 kB] Get: 248 http://deb.debian.org/debian buster/main armhf liblapack3 armhf 3.8.0-2 [1631 kB] Get: 249 http://deb.debian.org/debian buster/main armhf libarpack2 armhf 3.7.0-2 [88.1 kB] Get: 250 http://deb.debian.org/debian buster/main armhf libsuperlu5 armhf 5.2.1+dfsg1-4 [133 kB] Get: 251 http://deb.debian.org/debian buster/main armhf libarmadillo9 armhf 1:9.200.7+dfsg-1 [87.2 kB] Get: 252 http://deb.debian.org/debian buster/main armhf libatk1.0-data all 2.30.0-2 [145 kB] Get: 253 http://deb.debian.org/debian buster/main armhf libatk1.0-0 armhf 2.30.0-2 [43.6 kB] Get: 254 http://deb.debian.org/debian buster/main armhf libatspi2.0-0 armhf 2.30.0-7 [54.8 kB] Get: 255 http://deb.debian.org/debian buster/main armhf libatk-bridge2.0-0 armhf 2.30.0-5 [52.5 kB] Get: 256 http://deb.debian.org/debian buster/main armhf libdrm-common all 2.4.97-1 [13.8 kB] Get: 257 http://deb.debian.org/debian buster/main armhf libdrm2 armhf 2.4.97-1 [35.7 kB] Get: 258 http://deb.debian.org/debian buster/main armhf libva2 armhf 2.4.0-1 [51.4 kB] Get: 259 http://deb.debian.org/debian buster/main armhf libva-drm2 armhf 2.4.0-1 [15.9 kB] Get: 260 http://deb.debian.org/debian buster/main armhf libxfixes3 armhf 1:5.0.3-1 [20.6 kB] Get: 261 http://deb.debian.org/debian buster/main armhf libva-x11-2 armhf 2.4.0-1 [19.3 kB] Get: 262 http://deb.debian.org/debian buster/main armhf libvdpau1 armhf 1.1.1-10 [39.9 kB] Get: 263 http://deb.debian.org/debian buster/main armhf libavutil56 armhf 7:4.1.4-1~deb10u1 [238 kB] Get: 264 http://deb.debian.org/debian buster/main armhf libcodec2-0.8.1 armhf 0.8.1-2 [217 kB] Get: 265 http://deb.debian.org/debian buster/main armhf libgsm1 armhf 1.0.18-2 [26.5 kB] Get: 266 http://deb.debian.org/debian buster/main armhf libmp3lame0 armhf 3.100-2+b1 [350 kB] Get: 267 http://deb.debian.org/debian buster/main armhf libopus0 armhf 1.3-1 [172 kB] Get: 268 http://deb.debian.org/debian buster/main armhf libshine3 armhf 3.1.1-2 [22.0 kB] Get: 269 http://deb.debian.org/debian buster/main armhf libsnappy1v5 armhf 1.1.7-1 [15.2 kB] Get: 270 http://deb.debian.org/debian buster/main armhf libspeex1 armhf 1.2~rc1.2-1+b2 [51.7 kB] Get: 271 http://deb.debian.org/debian buster/main armhf libsoxr0 armhf 0.1.2-3 [51.1 kB] Get: 272 http://deb.debian.org/debian buster/main armhf libswresample3 armhf 7:4.1.4-1~deb10u1 [90.5 kB] Get: 273 http://deb.debian.org/debian buster/main armhf libogg0 armhf 1.3.2-1+b1 [17.6 kB] Get: 274 http://deb.debian.org/debian buster/main armhf libtheora0 armhf 1.1.1+dfsg.1-15 [147 kB] Get: 275 http://deb.debian.org/debian buster/main armhf libtwolame0 armhf 0.3.13-4 [45.1 kB] Get: 276 http://deb.debian.org/debian buster/main armhf libvorbis0a armhf 1.3.6-2 [83.1 kB] Get: 277 http://deb.debian.org/debian buster/main armhf libvorbisenc2 armhf 1.3.6-2 [74.0 kB] Get: 278 http://deb.debian.org/debian buster/main armhf libvpx5 armhf 1.7.0-3+deb10u1 [460 kB] Get: 279 http://deb.debian.org/debian buster/main armhf libwavpack1 armhf 5.1.0-6 [75.0 kB] Get: 280 http://deb.debian.org/debian buster/main armhf libwebpmux3 armhf 0.6.1-2 [94.1 kB] Get: 281 http://deb.debian.org/debian buster/main armhf libx264-155 armhf 2:0.155.2917+git0a84d98-2 [445 kB] Get: 282 http://deb.debian.org/debian buster/main armhf libx265-165 armhf 2.9-4 [536 kB] Get: 283 http://deb.debian.org/debian buster/main armhf libxvidcore4 armhf 2:1.3.5-1 [203 kB] Get: 284 http://deb.debian.org/debian buster/main armhf libzvbi-common all 0.2.35-16 [64.3 kB] Get: 285 http://deb.debian.org/debian buster/main armhf libzvbi0 armhf 0.2.35-16 [241 kB] Get: 286 http://deb.debian.org/debian buster/main armhf libavcodec58 armhf 7:4.1.4-1~deb10u1 [4501 kB] Get: 287 http://deb.debian.org/debian buster/main armhf libavutil-dev armhf 7:4.1.4-1~deb10u1 [357 kB] Get: 288 http://deb.debian.org/debian buster/main armhf libswresample-dev armhf 7:4.1.4-1~deb10u1 [99.3 kB] Get: 289 http://deb.debian.org/debian buster/main armhf libavcodec-dev armhf 7:4.1.4-1~deb10u1 [5023 kB] Get: 290 http://deb.debian.org/debian buster/main armhf libbluray2 armhf 1:1.1.0-1 [130 kB] Get: 291 http://deb.debian.org/debian buster/main armhf libchromaprint1 armhf 1.4.3-3 [37.0 kB] Get: 292 http://deb.debian.org/debian buster/main armhf libgme0 armhf 0.6.2-1 [107 kB] Get: 293 http://deb.debian.org/debian buster/main armhf libmpg123-0 armhf 1.25.10-2 [126 kB] Get: 294 http://deb.debian.org/debian buster/main armhf libvorbisfile3 armhf 1.3.6-2 [24.6 kB] Get: 295 http://deb.debian.org/debian buster/main armhf libopenmpt0 armhf 0.4.3-1 [546 kB] Get: 296 http://deb.debian.org/debian buster/main armhf libssh-gcrypt-4 armhf 0.8.7-1+deb10u1 [175 kB] Get: 297 http://deb.debian.org/debian buster/main armhf libavformat58 armhf 7:4.1.4-1~deb10u1 [936 kB] Get: 298 http://deb.debian.org/debian buster/main armhf libavformat-dev armhf 7:4.1.4-1~deb10u1 [1172 kB] Get: 299 http://deb.debian.org/debian buster/main armhf libavresample4 armhf 7:4.1.4-1~deb10u1 [81.1 kB] Get: 300 http://deb.debian.org/debian buster/main armhf libavresample-dev armhf 7:4.1.4-1~deb10u1 [89.9 kB] Get: 301 http://deb.debian.org/debian buster/main armhf libblas-dev armhf 3.8.0-2 [117 kB] Get: 302 http://deb.debian.org/debian buster/main armhf libboost1.67-dev armhf 1.67.0-13+deb10u1 [8388 kB] Get: 303 http://deb.debian.org/debian buster/main armhf libboost-atomic1.67.0 armhf 1.67.0-13+deb10u1 [226 kB] Get: 304 http://deb.debian.org/debian buster/main armhf libboost-atomic1.67-dev armhf 1.67.0-13+deb10u1 [225 kB] Get: 305 http://deb.debian.org/debian buster/main armhf libboost-chrono1.67.0 armhf 1.67.0-13+deb10u1 [231 kB] Get: 306 http://deb.debian.org/debian buster/main armhf libboost-chrono1.67-dev armhf 1.67.0-13+deb10u1 [234 kB] Get: 307 http://deb.debian.org/debian buster/main armhf libboost-date-time1.67.0 armhf 1.67.0-13+deb10u1 [236 kB] Get: 308 http://deb.debian.org/debian buster/main armhf libboost-serialization1.67.0 armhf 1.67.0-13+deb10u1 [303 kB] Get: 309 http://deb.debian.org/debian buster/main armhf libboost-serialization1.67-dev armhf 1.67.0-13+deb10u1 [370 kB] Get: 310 http://deb.debian.org/debian buster/main armhf libboost-date-time1.67-dev armhf 1.67.0-13+deb10u1 [248 kB] Get: 311 http://deb.debian.org/debian buster/main armhf libboost-dev armhf 1.67.0.1 [3860 B] Get: 312 http://deb.debian.org/debian buster/main armhf libboost-filesystem1.67.0 armhf 1.67.0-13+deb10u1 [255 kB] Get: 313 http://deb.debian.org/debian buster/main armhf libboost-system1.67-dev armhf 1.67.0-13+deb10u1 [232 kB] Get: 314 http://deb.debian.org/debian buster/main armhf libboost-filesystem1.67-dev armhf 1.67.0-13+deb10u1 [262 kB] Get: 315 http://deb.debian.org/debian buster/main armhf libboost-filesystem-dev armhf 1.67.0.1 [3684 B] Get: 316 http://deb.debian.org/debian buster/main armhf libboost-python1.67.0 armhf 1.67.0-13+deb10u1 [307 kB] Get: 317 http://deb.debian.org/debian buster/main armhf libpython2.7 armhf 2.7.16-2+deb10u1 [892 kB] Get: 318 http://deb.debian.org/debian buster/main armhf libexpat1-dev armhf 2.2.6-2+deb10u1 [126 kB] Get: 319 http://deb.debian.org/debian buster/main armhf libpython2.7-dev armhf 2.7.16-2+deb10u1 [31.0 MB] Get: 320 http://deb.debian.org/debian buster/main armhf libpython2-dev armhf 2.7.16-1 [20.9 kB] Get: 321 http://deb.debian.org/debian buster/main armhf libpython-dev armhf 2.7.16-1 [20.9 kB] Get: 322 http://deb.debian.org/debian buster/main armhf python2.7-dev armhf 2.7.16-2+deb10u1 [291 kB] Get: 323 http://deb.debian.org/debian buster/main armhf python2-dev armhf 2.7.16-1 [1216 B] Get: 324 http://deb.debian.org/debian buster/main armhf python-dev armhf 2.7.16-1 [1192 B] Get: 325 http://deb.debian.org/debian buster/main armhf libpython3.7 armhf 3.7.3-2+deb10u1 [1282 kB] Get: 326 http://deb.debian.org/debian buster/main armhf libpython3.7-dev armhf 3.7.3-2+deb10u1 [47.2 MB] Get: 327 http://deb.debian.org/debian buster/main armhf libpython3-dev armhf 3.7.3-1 [20.1 kB] Get: 328 http://deb.debian.org/debian buster/main armhf python3.7-dev armhf 3.7.3-2+deb10u1 [509 kB] Get: 329 http://deb.debian.org/debian buster/main armhf python3-dev armhf 3.7.3-1 [1264 B] Get: 330 http://deb.debian.org/debian buster/main armhf libboost-python1.67-dev armhf 1.67.0-13+deb10u1 [325 kB] Get: 331 http://deb.debian.org/debian buster/main armhf libboost-python-dev armhf 1.67.0.1 [3948 B] Get: 332 http://deb.debian.org/debian buster/main armhf libboost-system-dev armhf 1.67.0.1 [3788 B] Get: 333 http://deb.debian.org/debian buster/main armhf libboost-thread1.67.0 armhf 1.67.0-13+deb10u1 [261 kB] Get: 334 http://deb.debian.org/debian buster/main armhf libboost-thread1.67-dev armhf 1.67.0-13+deb10u1 [270 kB] Get: 335 http://deb.debian.org/debian buster/main armhf libboost-thread-dev armhf 1.67.0.1 [3672 B] Get: 336 http://deb.debian.org/debian buster/main armhf libcairo-gobject2 armhf 1.16.0-4 [123 kB] Get: 337 http://deb.debian.org/debian buster/main armhf libcharls2 armhf 2.0.0+dfsg-1 [55.0 kB] Get: 338 http://deb.debian.org/debian buster/main armhf libcolord2 armhf 1.4.3-4 [122 kB] Get: 339 http://deb.debian.org/debian buster/main armhf libdap25 armhf 3.20.3-1 [484 kB] Get: 340 http://deb.debian.org/debian buster/main armhf libdapclient6v5 armhf 3.20.3-1 [188 kB] Get: 341 http://deb.debian.org/debian buster/main armhf libdapserver7v5 armhf 3.20.3-1 [128 kB] Get: 342 http://deb.debian.org/debian buster/main armhf libraw1394-11 armhf 2.1.2-1+b1 [44.1 kB] Get: 343 http://deb.debian.org/debian buster/main armhf libusb-1.0-0 armhf 2:1.0.22-2 [50.1 kB] Get: 344 http://deb.debian.org/debian buster/main armhf libdc1394-22 armhf 2.2.5-1 [99.3 kB] Get: 345 http://deb.debian.org/debian buster/main armhf libraw1394-dev armhf 2.1.2-1+b1 [56.1 kB] Get: 346 http://deb.debian.org/debian buster/main armhf libdc1394-22-dev armhf 2.2.5-1 [134 kB] Get: 347 http://deb.debian.org/debian buster/main armhf libdrm-amdgpu1 armhf 2.4.97-1 [25.8 kB] Get: 348 http://deb.debian.org/debian buster/main armhf libdrm-etnaviv1 armhf 2.4.97-1 [19.7 kB] Get: 349 http://deb.debian.org/debian buster/main armhf libdrm-nouveau2 armhf 2.4.97-1 [24.2 kB] Get: 350 http://deb.debian.org/debian buster/main armhf libdrm-radeon1 armhf 2.4.97-1 [28.7 kB] Get: 351 http://deb.debian.org/debian buster/main armhf libepoxy0 armhf 1.5.3-0.1 [168 kB] Get: 352 http://deb.debian.org/debian buster/main armhf libpopt0 armhf 1.16-12 [46.3 kB] Get: 353 http://deb.debian.org/debian buster/main armhf libepsilon1 armhf 0.9.2+dfsg-4 [37.2 kB] Get: 354 http://deb.debian.org/debian buster/main armhf libevent-2.1-6 armhf 2.1.8-stable-4 [159 kB] Get: 355 http://deb.debian.org/debian buster/main armhf libevent-core-2.1-6 armhf 2.1.8-stable-4 [118 kB] Get: 356 http://deb.debian.org/debian buster/main armhf libevent-pthreads-2.1-6 armhf 2.1.8-stable-4 [47.6 kB] Get: 357 http://deb.debian.org/debian buster/main armhf libexif12 armhf 0.6.21-5.1+deb10u1 [313 kB] Get: 358 http://deb.debian.org/debian buster/main armhf libexif-dev armhf 0.6.21-5.1+deb10u1 [105 kB] Get: 359 http://deb.debian.org/debian buster/main armhf libfreexl1 armhf 1.0.5-3 [31.9 kB] Get: 360 http://deb.debian.org/debian buster/main armhf libfyba0 armhf 4.1.1-6 [100 kB] Get: 361 http://deb.debian.org/debian buster/main armhf libgeos-3.7.1 armhf 3.7.1-1 [648 kB] Get: 362 http://deb.debian.org/debian buster/main armhf libgeos-c1v5 armhf 3.7.1-1 [291 kB] Get: 363 http://deb.debian.org/debian buster/main armhf proj-data all 5.2.0-1 [6986 kB] Get: 364 http://deb.debian.org/debian buster/main armhf libproj13 armhf 5.2.0-1 [187 kB] Get: 365 http://deb.debian.org/debian buster/main armhf libgeotiff2 armhf 1.4.3-1 [63.3 kB] Get: 366 http://deb.debian.org/debian buster/main armhf libgif7 armhf 5.1.4-3 [40.8 kB] Get: 367 http://deb.debian.org/debian buster/main armhf libhdf4-0-alt armhf 4.2.13-4 [239 kB] Get: 368 http://deb.debian.org/debian buster/main armhf libhdf5-103 armhf 1.10.4+repack-10 [1285 kB] Get: 369 http://deb.debian.org/debian buster/main armhf libminizip1 armhf 1.1-8+b1 [19.0 kB] Get: 370 http://deb.debian.org/debian buster/main armhf liburiparser1 armhf 0.9.1-1 [40.4 kB] Get: 371 http://deb.debian.org/debian buster/main armhf libkmlbase1 armhf 1.3.0-7 [42.0 kB] Get: 372 http://deb.debian.org/debian buster/main armhf libkmldom1 armhf 1.3.0-7 [156 kB] Get: 373 http://deb.debian.org/debian buster/main armhf libkmlengine1 armhf 1.3.0-7 [67.9 kB] Get: 374 http://deb.debian.org/debian buster/main armhf libkmlconvenience1 armhf 1.3.0-7 [44.8 kB] Get: 375 http://deb.debian.org/debian buster/main armhf libkmlregionator1 armhf 1.3.0-7 [22.4 kB] Get: 376 http://deb.debian.org/debian buster/main armhf libkmlxsd1 armhf 1.3.0-7 [30.4 kB] Get: 377 http://deb.debian.org/debian buster/main armhf mysql-common all 5.8+1.0.5 [7324 B] Get: 378 http://deb.debian.org/debian buster/main armhf mariadb-common all 1:10.3.22-0+deb10u1 [31.9 kB] Get: 379 http://deb.debian.org/debian buster/main armhf libmariadb3 armhf 1:10.3.22-0+deb10u1 [161 kB] Get: 380 http://deb.debian.org/debian buster/main armhf libnetcdf13 armhf 1:4.6.2-1 [357 kB] Get: 381 http://deb.debian.org/debian buster/main armhf libodbc1 armhf 2.3.6-0.1 [191 kB] Get: 382 http://deb.debian.org/debian buster/main armhf libogdi3.2 armhf 3.2.1+ds-4 [198 kB] Get: 383 http://deb.debian.org/debian buster/main armhf libnspr4 armhf 2:4.20-1 [90.0 kB] Get: 384 http://deb.debian.org/debian buster/main armhf libnss3 armhf 2:3.42.1-1+deb10u2 [969 kB] Get: 385 http://deb.debian.org/debian buster/main armhf libpoppler82 armhf 0.71.0-5 [1381 kB] Get: 386 http://deb.debian.org/debian buster/main armhf libpq5 armhf 11.7-0+deb10u1 [152 kB] Get: 387 http://deb.debian.org/debian buster/main armhf libqhull7 armhf 2015.2-4 [176 kB] Get: 388 http://deb.debian.org/debian buster/main armhf libspatialite7 armhf 4.3.0a-5+b2 [1306 kB] Get: 389 http://deb.debian.org/debian buster/main armhf libxerces-c3.2 armhf 3.2.2+debian-1+b1 [733 kB] Get: 390 http://deb.debian.org/debian buster/main armhf odbcinst armhf 2.3.6-0.1 [47.8 kB] Get: 391 http://deb.debian.org/debian buster/main armhf odbcinst1debian2 armhf 2.3.6-0.1 [71.1 kB] Get: 392 http://deb.debian.org/debian buster/main armhf libgdal20 armhf 2.4.0+dfsg-1+b1 [5258 kB] Get: 393 http://deb.debian.org/debian buster/main armhf libsocket++1 armhf 1.12.13-10 [36.0 kB] Get: 394 http://deb.debian.org/debian buster/main armhf libgdcm2.8 armhf 2.8.8-9 [1636 kB] Get: 395 http://deb.debian.org/debian buster/main armhf libgdcm2-dev armhf 2.8.8-9 [262 kB] Get: 396 http://deb.debian.org/debian buster/main armhf libgflags2.2 armhf 2.2.2-1 [63.8 kB] Get: 397 http://deb.debian.org/debian buster/main armhf libgflags-dev armhf 2.2.2-1 [86.9 kB] Get: 398 http://deb.debian.org/debian buster/main armhf libglapi-mesa armhf 18.3.6-2+deb10u1 [71.7 kB] Get: 399 http://deb.debian.org/debian buster/main armhf libllvm7 armhf 1:7.0.1-8 [11.3 MB] Get: 400 http://deb.debian.org/debian buster/main armhf libsensors-config all 1:3.5.0-3 [31.6 kB] Get: 401 http://deb.debian.org/debian buster/main armhf libsensors5 armhf 1:3.5.0-3 [49.7 kB] Get: 402 http://deb.debian.org/debian buster/main armhf libgl1-mesa-dri armhf 18.3.6-2+deb10u1 [4103 kB] Get: 403 http://deb.debian.org/debian buster/main armhf libglvnd0 armhf 1.1.0-1 [49.1 kB] Get: 404 http://deb.debian.org/debian buster/main armhf libx11-xcb1 armhf 2:1.6.7-1 [190 kB] Get: 405 http://deb.debian.org/debian buster/main armhf libxcb-dri2-0 armhf 1.13.1-2 [100 kB] Get: 406 http://deb.debian.org/debian buster/main armhf libxcb-dri3-0 armhf 1.13.1-2 [100.0 kB] Get: 407 http://deb.debian.org/debian buster/main armhf libxcb-glx0 armhf 1.13.1-2 [114 kB] Get: 408 http://deb.debian.org/debian buster/main armhf libxcb-present0 armhf 1.13.1-2 [99.0 kB] Get: 409 http://deb.debian.org/debian buster/main armhf libxcb-sync1 armhf 1.13.1-2 [102 kB] Get: 410 http://deb.debian.org/debian buster/main armhf libxdamage1 armhf 1:1.1.4-3+b3 [14.2 kB] Get: 411 http://deb.debian.org/debian buster/main armhf libxshmfence1 armhf 1.3-1 [8592 B] Get: 412 http://deb.debian.org/debian buster/main armhf libxxf86vm1 armhf 1:1.1.4-1+b2 [20.2 kB] Get: 413 http://deb.debian.org/debian buster/main armhf libglx-mesa0 armhf 18.3.6-2+deb10u1 [162 kB] Get: 414 http://deb.debian.org/debian buster/main armhf libglx0 armhf 1.1.0-1 [25.5 kB] Get: 415 http://deb.debian.org/debian buster/main armhf libgl1 armhf 1.1.0-1 [105 kB] Get: 416 http://deb.debian.org/debian buster/main armhf libgl2ps1.4 armhf 1.4.0+dfsg1-2 [34.4 kB] Get: 417 http://deb.debian.org/debian buster/main armhf libglu1-mesa armhf 9.0.0-2.1+b3 [130 kB] Get: 418 http://deb.debian.org/debian buster/main armhf libgoogle-glog0v5 armhf 0.3.5-1 [46.7 kB] Get: 419 http://deb.debian.org/debian buster/main armhf libgoogle-glog-dev armhf 0.3.5-1 [74.8 kB] Get: 420 http://deb.debian.org/debian buster/main armhf libgphoto2-port12 armhf 2.5.22-3 [113 kB] Get: 421 http://deb.debian.org/debian buster/main armhf libgphoto2-6 armhf 2.5.22-3 [808 kB] Get: 422 http://deb.debian.org/debian buster/main armhf pkg-config armhf 0.29-6 [60.7 kB] Get: 423 http://deb.debian.org/debian buster/main armhf libgphoto2-dev armhf 2.5.22-3 [843 kB] Get: 424 http://deb.debian.org/debian buster/main armhf libjson-glib-1.0-common all 1.4.4-2 [52.3 kB] Get: 425 http://deb.debian.org/debian buster/main armhf libjson-glib-1.0-0 armhf 1.4.4-2 [53.5 kB] Get: 426 http://deb.debian.org/debian buster/main armhf libsoup2.4-1 armhf 2.64.2-2 [221 kB] Get: 427 http://deb.debian.org/debian buster/main armhf libsoup-gnome2.4-1 armhf 2.64.2-2 [17.5 kB] Get: 428 http://deb.debian.org/debian buster/main armhf librest-0.7-0 armhf 0.8.1-1 [28.5 kB] Get: 429 http://deb.debian.org/debian buster/main armhf libwayland-client0 armhf 1.16.0-1 [21.6 kB] Get: 430 http://deb.debian.org/debian buster/main armhf libwayland-cursor0 armhf 1.16.0-1 [13.0 kB] Get: 431 http://deb.debian.org/debian buster/main armhf libwayland-egl1 armhf 1.16.0-1 [7980 B] Get: 432 http://deb.debian.org/debian buster/main armhf libxcomposite1 armhf 1:0.4.4-2 [16.0 kB] Get: 433 http://deb.debian.org/debian buster/main armhf libxcursor1 armhf 1:1.1.15-2 [33.5 kB] Get: 434 http://deb.debian.org/debian buster/main armhf libxinerama1 armhf 2:1.1.4-2 [17.3 kB] Get: 435 http://deb.debian.org/debian buster/main armhf xkb-data all 2.26-2 [681 kB] Get: 436 http://deb.debian.org/debian buster/main armhf libxkbcommon0 armhf 0.8.2-1 [111 kB] Get: 437 http://deb.debian.org/debian buster/main armhf libxrandr2 armhf 2:1.5.1-1 [34.9 kB] Get: 438 http://deb.debian.org/debian buster/main armhf libgtk-3-common all 3.24.5-1 [3678 kB] Get: 439 http://deb.debian.org/debian buster/main armhf libgtk-3-0 armhf 3.24.5-1 [2198 kB] Get: 440 http://deb.debian.org/debian buster/main armhf libhdf5-cpp-103 armhf 1.10.4+repack-10 [123 kB] Get: 441 http://deb.debian.org/debian buster/main armhf zlib1g-dev armhf 1:1.2.11.dfsg-1 [207 kB] Get: 442 http://deb.debian.org/debian buster/main armhf libjpeg62-turbo-dev armhf 1:1.5.2-2+b1 [182 kB] Get: 443 http://deb.debian.org/debian buster/main armhf libjpeg-dev all 1:1.5.2-2 [57.5 kB] Get: 444 http://deb.debian.org/debian buster/main armhf libhdf5-dev armhf 1.10.4+repack-10 [2515 kB] Get: 445 http://deb.debian.org/debian buster/main armhf libhwloc5 armhf 1.11.12-3 [87.6 kB] Get: 446 http://deb.debian.org/debian buster/main armhf libnl-3-200 armhf 3.4.0-1 [55.6 kB] Get: 447 http://deb.debian.org/debian buster/main armhf libnl-route-3-200 armhf 3.4.0-1 [136 kB] Get: 448 http://deb.debian.org/debian buster/main armhf libibverbs1 armhf 22.1-1 [44.1 kB] Get: 449 http://deb.debian.org/debian buster/main armhf libpciaccess0 armhf 0.14-1 [51.0 kB] Get: 450 http://deb.debian.org/debian buster/main armhf ocl-icd-libopencl1 armhf 2.2.12-2 [35.6 kB] Get: 451 http://deb.debian.org/debian buster/main armhf libhwloc-plugins armhf 1.11.12-3 [15.7 kB] Get: 452 http://deb.debian.org/debian buster/main armhf libpmix2 armhf 3.1.2-3 [449 kB] Get: 453 http://deb.debian.org/debian buster/main armhf libopenmpi3 armhf 3.1.3-11 [1890 kB] Get: 454 http://deb.debian.org/debian buster/main armhf libhdf5-openmpi-103 armhf 1.10.4+repack-10 [1334 kB] Get: 455 http://deb.debian.org/debian buster/main armhf libilmbase23 armhf 2.2.1-2 [74.0 kB] Get: 456 http://deb.debian.org/debian buster/main armhf libilmbase-dev armhf 2.2.1-2 [76.7 kB] Get: 457 http://deb.debian.org/debian buster/main armhf libimagequant0 armhf 2.12.2-1.1 [27.2 kB] Get: 458 http://deb.debian.org/debian buster/main armhf libjbig-dev armhf 2.1-3.1+b2 [28.5 kB] Get: 459 http://deb.debian.org/debian buster/main armhf libjs-jquery all 3.3.1~dfsg-3 [332 kB] Get: 460 http://deb.debian.org/debian buster/main armhf libjs-jquery-ui all 1.12.1+dfsg-5 [232 kB] Get: 461 http://deb.debian.org/debian buster/main armhf liblept5 armhf 1.76.0-1 [826 kB] Get: 462 http://deb.debian.org/debian buster/main armhf libleveldb1d armhf 1.20-2.1 [118 kB] Get: 463 http://deb.debian.org/debian buster/main armhf libleveldb-dev armhf 1.20-2.1 [169 kB] Get: 464 http://deb.debian.org/debian buster/main armhf liblmdb0 armhf 0.9.22-1 [38.2 kB] Get: 465 http://deb.debian.org/debian buster/main armhf liblmdb-dev armhf 0.9.22-1 [55.1 kB] Get: 466 http://deb.debian.org/debian buster/main armhf liblzma-dev armhf 5.2.4-1 [204 kB] Get: 467 http://deb.debian.org/debian buster/main armhf libnetcdf-c++4 armhf 4.2-11 [28.7 kB] Get: 468 http://deb.debian.org/debian buster/main armhf libtbb2 armhf 2018~U6-4 [111 kB] Get: 469 http://deb.debian.org/debian buster/main armhf libopencv-core3.2 armhf 3.2.0+dfsg-6 [622 kB] Get: 470 http://deb.debian.org/debian buster/main armhf libopencv-flann3.2 armhf 3.2.0+dfsg-6 [88.6 kB] Get: 471 http://deb.debian.org/debian buster/main armhf libopencv-imgproc3.2 armhf 3.2.0+dfsg-6 [701 kB] Get: 472 http://deb.debian.org/debian buster/main armhf libopenexr23 armhf 2.2.1-4.1 [525 kB] Get: 473 http://deb.debian.org/debian buster/main armhf libopencv-imgcodecs3.2 armhf 3.2.0+dfsg-6 [82.2 kB] Get: 474 http://deb.debian.org/debian buster/main armhf libswscale5 armhf 7:4.1.4-1~deb10u1 [169 kB] Get: 475 http://deb.debian.org/debian buster/main armhf libopencv-videoio3.2 armhf 3.2.0+dfsg-6 [83.3 kB] Get: 476 http://deb.debian.org/debian buster/main armhf libopencv-highgui3.2 armhf 3.2.0+dfsg-6 [30.1 kB] Get: 477 http://deb.debian.org/debian buster/main armhf libopencv-ml3.2 armhf 3.2.0+dfsg-6 [204 kB] Get: 478 http://deb.debian.org/debian buster/main armhf libopencv-features2d3.2 armhf 3.2.0+dfsg-6 [194 kB] Get: 479 http://deb.debian.org/debian buster/main armhf libopencv-calib3d3.2 armhf 3.2.0+dfsg-6 [386 kB] Get: 480 http://deb.debian.org/debian buster/main armhf libtbb-dev armhf 2018~U6-4 [286 kB] Get: 481 http://deb.debian.org/debian buster/main armhf libopencv-core-dev armhf 3.2.0+dfsg-6 [1106 kB] Get: 482 http://deb.debian.org/debian buster/main armhf libopencv-flann-dev armhf 3.2.0+dfsg-6 [183 kB] Get: 483 http://deb.debian.org/debian buster/main armhf libopencv-imgproc-dev armhf 3.2.0+dfsg-6 [959 kB] Get: 484 http://deb.debian.org/debian buster/main armhf libopencv-imgcodecs-dev armhf 3.2.0+dfsg-6 [134 kB] Get: 485 http://deb.debian.org/debian buster/main armhf libopencv-videoio-dev armhf 3.2.0+dfsg-6 [129 kB] Get: 486 http://deb.debian.org/debian buster/main armhf libopenexr-dev armhf 2.2.1-4.1 [696 kB] Get: 487 http://deb.debian.org/debian buster/main armhf libpng-dev armhf 1.6.36-6 [286 kB] Get: 488 http://deb.debian.org/debian buster/main armhf libswscale-dev armhf 7:4.1.4-1~deb10u1 [184 kB] Get: 489 http://deb.debian.org/debian buster/main armhf libtiffxx5 armhf 4.1.0+git191117-2~deb10u1 [117 kB] Get: 490 http://deb.debian.org/debian buster/main armhf libtiff-dev armhf 4.1.0+git191117-2~deb10u1 [376 kB] Get: 491 http://deb.debian.org/debian buster/main armhf libopencv-highgui-dev armhf 3.2.0+dfsg-6 [44.8 kB] Get: 492 http://deb.debian.org/debian buster/main armhf libopencv-ml-dev armhf 3.2.0+dfsg-6 [291 kB] Get: 493 http://deb.debian.org/debian buster/main armhf libopencv-features2d-dev armhf 3.2.0+dfsg-6 [265 kB] Get: 494 http://deb.debian.org/debian buster/main armhf libopencv-calib3d-dev armhf 3.2.0+dfsg-6 [490 kB] Get: 495 http://deb.debian.org/debian buster/main armhf libopencv-objdetect3.2 armhf 3.2.0+dfsg-6 [134 kB] Get: 496 http://deb.debian.org/debian buster/main armhf libopencv-photo3.2 armhf 3.2.0+dfsg-6 [178 kB] Get: 497 http://deb.debian.org/debian buster/main armhf libopencv-video3.2 armhf 3.2.0+dfsg-6 [118 kB] Get: 498 http://deb.debian.org/debian buster/main armhf libopencv-shape3.2 armhf 3.2.0+dfsg-6 [62.1 kB] Get: 499 http://deb.debian.org/debian buster/main armhf libopencv-stitching3.2 armhf 3.2.0+dfsg-6 [157 kB] Get: 500 http://deb.debian.org/debian buster/main armhf libopencv-superres3.2 armhf 3.2.0+dfsg-6 [50.0 kB] Get: 501 http://deb.debian.org/debian buster/main armhf libopencv-videostab3.2 armhf 3.2.0+dfsg-6 [97.7 kB] Get: 502 http://deb.debian.org/debian buster/main armhf libtcl8.6 armhf 8.6.9+dfsg-2 [897 kB] Get: 503 http://deb.debian.org/debian buster/main armhf libxft2 armhf 2.3.2-2 [50.1 kB] Get: 504 http://deb.debian.org/debian buster/main armhf libxss1 armhf 1:1.2.3-1 [17.2 kB] Get: 505 http://deb.debian.org/debian buster/main armhf libtk8.6 armhf 8.6.9-2 [678 kB] Get: 506 http://deb.debian.org/debian buster/main armhf libvtk6.3 armhf 6.3.0+dfsg2-2+b5 [28.4 MB] Get: 507 http://deb.debian.org/debian buster/main armhf libopencv-viz3.2 armhf 3.2.0+dfsg-6 [110 kB] Get: 508 http://deb.debian.org/debian buster/main armhf libtesseract4 armhf 4.0.0-2 [1058 kB] Get: 509 http://deb.debian.org/debian buster/main armhf libopencv-contrib3.2 armhf 3.2.0+dfsg-6 [1286 kB] Get: 510 http://deb.debian.org/debian buster/main armhf libopencv-objdetect-dev armhf 3.2.0+dfsg-6 [171 kB] Get: 511 http://deb.debian.org/debian buster/main armhf libopencv-photo-dev armhf 3.2.0+dfsg-6 [232 kB] Get: 512 http://deb.debian.org/debian buster/main armhf libopencv-video-dev armhf 3.2.0+dfsg-6 [152 kB] Get: 513 http://deb.debian.org/debian buster/main armhf libopencv-shape-dev armhf 3.2.0+dfsg-6 [84.0 kB] Get: 514 http://deb.debian.org/debian buster/main armhf libopencv-stitching-dev armhf 3.2.0+dfsg-6 [216 kB] Get: 515 http://deb.debian.org/debian buster/main armhf libopencv-superres-dev armhf 3.2.0+dfsg-6 [67.1 kB] Get: 516 http://deb.debian.org/debian buster/main armhf libopencv-videostab-dev armhf 3.2.0+dfsg-6 [131 kB] Get: 517 http://deb.debian.org/debian buster/main armhf libopencv-viz-dev armhf 3.2.0+dfsg-6 [174 kB] Get: 518 http://deb.debian.org/debian buster/main armhf libopencv-contrib-dev armhf 3.2.0+dfsg-6 [1884 kB] Get: 519 http://deb.debian.org/debian buster/main armhf libopencv-ts-dev armhf 3.2.0+dfsg-6 [281 kB] Get: 520 http://deb.debian.org/debian buster/main armhf libopencv3.2-jni armhf 3.2.0+dfsg-6 [182 kB] Get: 521 http://deb.debian.org/debian buster/main armhf libopencv3.2-java all 3.2.0+dfsg-6 [401 kB] Get: 522 http://deb.debian.org/debian buster/main armhf libopencv-dev armhf 3.2.0+dfsg-6 [210 kB] Get: 523 http://deb.debian.org/debian buster/main armhf libprotobuf17 armhf 3.6.1.3-2 [688 kB] Get: 524 http://deb.debian.org/debian buster/main armhf libprotobuf-lite17 armhf 3.6.1.3-2 [149 kB] Get: 525 http://deb.debian.org/debian buster/main armhf libprotobuf-dev armhf 3.6.1.3-2 [1069 kB] Get: 526 http://deb.debian.org/debian buster/main armhf libprotoc17 armhf 3.6.1.3-2 [570 kB] Get: 527 http://deb.debian.org/debian buster/main armhf libprotoc-dev armhf 3.6.1.3-2 [708 kB] Get: 528 http://deb.debian.org/debian buster/main armhf libsnappy-dev armhf 1.1.7-1 [28.1 kB] Get: 529 http://deb.debian.org/debian buster/main armhf libwebpdemux2 armhf 0.6.1-2 [86.6 kB] Get: 530 http://deb.debian.org/debian buster/main armhf libyaml-0-2 armhf 0.2.1-1 [40.6 kB] Get: 531 http://deb.debian.org/debian buster/main armhf protobuf-compiler armhf 3.6.1.3-2 [64.2 kB] Get: 532 http://deb.debian.org/debian buster/main armhf python-matplotlib-data all 3.0.2-2 [4138 kB] Get: 533 http://deb.debian.org/debian buster/main armhf python3-cloudpickle all 0.8.0-1 [16.5 kB] Get: 534 http://deb.debian.org/debian buster/main armhf python3-cycler all 0.10.0-1 [7556 B] Get: 535 http://deb.debian.org/debian buster/main armhf python3-dateutil all 2.7.3-3 [64.5 kB] Get: 536 http://deb.debian.org/debian buster/main armhf python3-gflags all 1.5.1-5 [36.3 kB] Get: 537 http://deb.debian.org/debian buster/main armhf python3-numpy armhf 1:1.16.2-1 [1903 kB] Get: 538 http://deb.debian.org/debian buster/main armhf python3-h5py armhf 2.8.0-3 [834 kB] Get: 539 http://deb.debian.org/debian buster/main armhf python3-kiwisolver armhf 1.0.1-2+b1 [58.9 kB] Get: 540 http://deb.debian.org/debian buster/main armhf python3-leveldb armhf 0~svn68-3+b3 [16.8 kB] Get: 541 http://deb.debian.org/debian buster/main armhf python3-pyparsing all 2.2.0+dfsg1-2 [89.6 kB] Get: 542 http://deb.debian.org/debian buster/main armhf python3-matplotlib armhf 3.0.2-2 [5288 kB] Get: 543 http://deb.debian.org/debian buster/main armhf python3-networkx all 2.2-1 [818 kB] Get: 544 http://deb.debian.org/debian buster/main armhf python3-nose all 1.3.7-4 [132 kB] Get: 545 http://deb.debian.org/debian buster/main armhf python3-tz all 2019.1-1 [27.1 kB] Get: 546 http://deb.debian.org/debian buster/main armhf python3-pandas-lib armhf 0.23.3+dfsg-3 [3132 kB] Get: 547 http://deb.debian.org/debian buster/main armhf python3-pandas all 0.23.3+dfsg-3 [1750 kB] Get: 548 http://deb.debian.org/debian buster/main armhf python3-pil armhf 5.4.1-2+deb10u1 [367 kB] Get: 549 http://deb.debian.org/debian buster/main armhf python3-protobuf armhf 3.6.1.3-2 [321 kB] Get: 550 http://deb.debian.org/debian buster/main armhf python3-pydotplus all 2.0.2-2 [20.2 kB] Get: 551 http://deb.debian.org/debian buster/main armhf python3-pywt armhf 0.5.1-1.1+b3 [1008 kB] Get: 552 http://deb.debian.org/debian buster/main armhf python3-scipy armhf 1.1.0-7 [9090 kB] Get: 553 http://deb.debian.org/debian buster/main armhf python3-skimage-lib armhf 0.14.2-2 [1365 kB] Get: 554 http://deb.debian.org/debian buster/main armhf python3-skimage all 0.14.2-2 [19.9 MB] Get: 555 http://deb.debian.org/debian buster/main armhf python3-yaml armhf 3.13-2 [113 kB] Fetched 510 MB in 2min 41s (3162 kB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:armhf. (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 ... 18932 files and directories currently installed.) Preparing to unpack .../00-libapparmor1_2.13.2-10_armhf.deb ... Unpacking libapparmor1:armhf (2.13.2-10) ... Selecting previously unselected package libcap2:armhf. Preparing to unpack .../01-libcap2_1%3a2.25-2_armhf.deb ... Unpacking libcap2:armhf (1:2.25-2) ... Selecting previously unselected package libargon2-1:armhf. Preparing to unpack .../02-libargon2-1_0~20171227-0.2_armhf.deb ... Unpacking libargon2-1:armhf (0~20171227-0.2) ... Selecting previously unselected package dmsetup. Preparing to unpack .../03-dmsetup_2%3a1.02.155-3_armhf.deb ... Unpacking dmsetup (2:1.02.155-3) ... Selecting previously unselected package libdevmapper1.02.1:armhf. Preparing to unpack .../04-libdevmapper1.02.1_2%3a1.02.155-3_armhf.deb ... Unpacking libdevmapper1.02.1:armhf (2:1.02.155-3) ... Selecting previously unselected package libjson-c3:armhf. Preparing to unpack .../05-libjson-c3_0.12.1+ds-2_armhf.deb ... Unpacking libjson-c3:armhf (0.12.1+ds-2) ... Selecting previously unselected package libssl1.1:armhf. Preparing to unpack .../06-libssl1.1_1.1.1d-0+deb10u3_armhf.deb ... Unpacking libssl1.1:armhf (1.1.1d-0+deb10u3) ... Selecting previously unselected package libcryptsetup12:armhf. Preparing to unpack .../07-libcryptsetup12_2%3a2.1.0-5+deb10u2_armhf.deb ... Unpacking libcryptsetup12:armhf (2:2.1.0-5+deb10u2) ... Selecting previously unselected package libidn11:armhf. Preparing to unpack .../08-libidn11_1.33-2.2_armhf.deb ... Unpacking libidn11:armhf (1.33-2.2) ... Selecting previously unselected package libip4tc0:armhf. Preparing to unpack .../09-libip4tc0_1.8.2-4_armhf.deb ... Unpacking libip4tc0:armhf (1.8.2-4) ... Selecting previously unselected package libkmod2:armhf. Preparing to unpack .../10-libkmod2_26-1_armhf.deb ... Unpacking libkmod2:armhf (26-1) ... Selecting previously unselected package systemd. Preparing to unpack .../11-systemd_241-7~deb10u4_armhf.deb ... Unpacking systemd (241-7~deb10u4) ... Setting up libapparmor1:armhf (2.13.2-10) ... Setting up libcap2:armhf (1:2.25-2) ... Setting up libargon2-1:armhf (0~20171227-0.2) ... Setting up libjson-c3:armhf (0.12.1+ds-2) ... Setting up libssl1.1:armhf (1.1.1d-0+deb10u3) ... Setting up libidn11:armhf (1.33-2.2) ... Setting up libip4tc0:armhf (1.8.2-4) ... Setting up libkmod2:armhf (26-1) ... Setting up libdevmapper1.02.1:armhf (2:1.02.155-3) ... Setting up libcryptsetup12:armhf (2:2.1.0-5+deb10u2) ... Setting up systemd (241-7~deb10u4) ... Created symlink /etc/systemd/system/getty.target.wants/getty@tty1.service -> /lib/systemd/system/getty@.service. Created symlink /etc/systemd/system/multi-user.target.wants/remote-fs.target -> /lib/systemd/system/remote-fs.target. Created symlink /etc/systemd/system/dbus-org.freedesktop.timesync1.service -> /lib/systemd/system/systemd-timesyncd.service. Created symlink /etc/systemd/system/sysinit.target.wants/systemd-timesyncd.service -> /lib/systemd/system/systemd-timesyncd.service. Initializing machine ID from random generator. Setting up dmsetup (2:1.02.155-3) ... Selecting previously unselected package systemd-sysv. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19783 files and directories currently installed.) Preparing to unpack .../00-systemd-sysv_241-7~deb10u4_armhf.deb ... Unpacking systemd-sysv (241-7~deb10u4) ... Selecting previously unselected package libbsd0:armhf. Preparing to unpack .../01-libbsd0_0.9.1-2_armhf.deb ... Unpacking libbsd0:armhf (0.9.1-2) ... Selecting previously unselected package bsdmainutils. Preparing to unpack .../02-bsdmainutils_11.1.2+b1_armhf.deb ... Unpacking bsdmainutils (11.1.2+b1) ... Selecting previously unselected package libuchardet0:armhf. Preparing to unpack .../03-libuchardet0_0.0.6-3_armhf.deb ... Unpacking libuchardet0:armhf (0.0.6-3) ... Selecting previously unselected package groff-base. Preparing to unpack .../04-groff-base_1.22.4-3_armhf.deb ... Unpacking groff-base (1.22.4-3) ... Selecting previously unselected package libpipeline1:armhf. Preparing to unpack .../05-libpipeline1_1.5.1-2_armhf.deb ... Unpacking libpipeline1:armhf (1.5.1-2) ... Selecting previously unselected package man-db. Preparing to unpack .../06-man-db_2.8.5-2_armhf.deb ... Unpacking man-db (2.8.5-2) ... Selecting previously unselected package libpython2.7-minimal:armhf. Preparing to unpack .../07-libpython2.7-minimal_2.7.16-2+deb10u1_armhf.deb ... Unpacking libpython2.7-minimal:armhf (2.7.16-2+deb10u1) ... Selecting previously unselected package python2.7-minimal. Preparing to unpack .../08-python2.7-minimal_2.7.16-2+deb10u1_armhf.deb ... Unpacking python2.7-minimal (2.7.16-2+deb10u1) ... Selecting previously unselected package python2-minimal. Preparing to unpack .../09-python2-minimal_2.7.16-1_armhf.deb ... Unpacking python2-minimal (2.7.16-1) ... Selecting previously unselected package python-minimal. Preparing to unpack .../10-python-minimal_2.7.16-1_armhf.deb ... Unpacking python-minimal (2.7.16-1) ... Selecting previously unselected package mime-support. Preparing to unpack .../11-mime-support_3.62_all.deb ... Unpacking mime-support (3.62) ... Selecting previously unselected package libexpat1:armhf. Preparing to unpack .../12-libexpat1_2.2.6-2+deb10u1_armhf.deb ... Unpacking libexpat1:armhf (2.2.6-2+deb10u1) ... Selecting previously unselected package readline-common. Preparing to unpack .../13-readline-common_7.0-5_all.deb ... Unpacking readline-common (7.0-5) ... Selecting previously unselected package libreadline7:armhf. Preparing to unpack .../14-libreadline7_7.0-5_armhf.deb ... Unpacking libreadline7:armhf (7.0-5) ... Selecting previously unselected package libpython2.7-stdlib:armhf. Preparing to unpack .../15-libpython2.7-stdlib_2.7.16-2+deb10u1_armhf.deb ... Unpacking libpython2.7-stdlib:armhf (2.7.16-2+deb10u1) ... Selecting previously unselected package python2.7. Preparing to unpack .../16-python2.7_2.7.16-2+deb10u1_armhf.deb ... Unpacking python2.7 (2.7.16-2+deb10u1) ... Selecting previously unselected package libpython2-stdlib:armhf. Preparing to unpack .../17-libpython2-stdlib_2.7.16-1_armhf.deb ... Unpacking libpython2-stdlib:armhf (2.7.16-1) ... Selecting previously unselected package libpython-stdlib:armhf. Preparing to unpack .../18-libpython-stdlib_2.7.16-1_armhf.deb ... Unpacking libpython-stdlib:armhf (2.7.16-1) ... Setting up libpython2.7-minimal:armhf (2.7.16-2+deb10u1) ... Setting up python2.7-minimal (2.7.16-2+deb10u1) ... Setting up python2-minimal (2.7.16-1) ... Selecting previously unselected package python2. (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 ... 21254 files and directories currently installed.) Preparing to unpack .../python2_2.7.16-1_armhf.deb ... Unpacking python2 (2.7.16-1) ... Setting up python-minimal (2.7.16-1) ... Selecting previously unselected package python. (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 ... 21287 files and directories currently installed.) Preparing to unpack .../python_2.7.16-1_armhf.deb ... Unpacking python (2.7.16-1) ... Selecting previously unselected package poppler-data. Preparing to unpack .../poppler-data_0.4.9-2_all.deb ... Unpacking poppler-data (0.4.9-2) ... Selecting previously unselected package libpython3.7-minimal:armhf. Preparing to unpack .../libpython3.7-minimal_3.7.3-2+deb10u1_armhf.deb ... Unpacking libpython3.7-minimal:armhf (3.7.3-2+deb10u1) ... Selecting previously unselected package python3.7-minimal. Preparing to unpack .../python3.7-minimal_3.7.3-2+deb10u1_armhf.deb ... Unpacking python3.7-minimal (3.7.3-2+deb10u1) ... Setting up libpython3.7-minimal:armhf (3.7.3-2+deb10u1) ... Setting up libexpat1:armhf (2.2.6-2+deb10u1) ... Setting up python3.7-minimal (3.7.3-2+deb10u1) ... Selecting previously unselected package python3-minimal. (Reading database ... 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Setting up mysql-common (5.8+1.0.5) ... update-alternatives: using /etc/mysql/my.cnf.fallback to provide /etc/mysql/my.cnf (my.cnf) in auto mode Setting up systemd-sysv (241-7~deb10u4) ... Setting up libxau6:armhf (1:1.0.8-1+b2) ... Setting up libraw1394-11:armhf (2.1.2-1+b1) ... Setting up libkeyutils1:armhf (1.6-6) ... Setting up libproxy1v5:armhf (0.4.15-5) ... Setting up libpsl5:armhf (0.20.2-2) ... Setting up ttf-bitstream-vera (1.10-8) ... Setting up libboost-chrono1.67.0:armhf (1.67.0-13+deb10u1) ... Setting up libmpg123-0:armhf (1.25.10-2) ... Setting up libogg0:armhf (1.3.2-1+b1) ... Setting up mime-support (3.62) ... Setting up libspeex1:armhf (1.2~rc1.2-1+b2) ... Setting up proj-data (5.2.0-1) ... Setting up libshine3:armhf (3.1.1-2) ... Setting up libtexlua52:armhf (2018.20181218.49446-1) ... Setting up hdf5-helpers (1.10.4+repack-10) ... Setting up hicolor-icon-theme (0.17-2) ... Setting up libtwolame0:armhf (0.3.13-4) ... Setting up libdatrie1:armhf (0.2.12-2) ... Setting up libmagic-mgc (1:5.35-4+deb10u1) ... Setting up libgsm1:armhf (1.0.18-2) ... Setting up libx264-155:armhf (2:0.155.2917+git0a84d98-2) ... Setting up libcharls2:armhf (2.0.0+dfsg-1) ... Setting up libminizip1:armhf (1.1-8+b1) ... Setting up libtexlua53:armhf (2018.20181218.49446-1) ... Setting up libsoxr0:armhf (0.1.2-3) ... Setting up libx265-165:armhf (2.9-4) ... Setting up libarchive-zip-perl (1.64-1) ... Setting up libyaml-0-2:armhf (0.2.1-1) ... Setting up libilmbase23:armhf (2.2.1-2) ... Setting up libglib2.0-0:armhf (2.58.3-2+deb10u2) ... Setting up libglvnd0:armhf (1.1.0-1) ... Setting up libprotobuf-lite17:armhf (3.6.1.3-2) ... Setting up fonts-lyx (2.3.2-1) ... Setting up libijs-0.35:armhf (0.35-14) ... Setting up libprocps7:armhf (2:3.3.15-2) ... Setting up libaom0:armhf (1.0.0-3) ... Setting up libraw1394-dev:armhf (2.1.2-1+b1) ... Setting up libtexluajit2:armhf (2018.20181218.49446-1) ... Setting up libbrotli1:armhf (1.0.7-2) ... Setting up liblab-gamut1 (2.40.1-6) ... Setting up libgdk-pixbuf2.0-common (2.38.1+dfsg-1) ... Setting up libcodec2-0.8.1:armhf (0.8.1-2) ... Setting up libproj13:armhf (5.2.0-1) ... Setting up libtbb2:armhf (2018~U6-4) ... Setting up x11-common (1:7.7+19) ... update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults Running in chroot, ignoring request. Setting up X socket directories... /tmp/.X11-unix /tmp/.ICE-unix. Setting up libsensors-config (1:3.5.0-3) ... Setting up libnghttp2-14:armhf (1.36.0-2+deb10u1) ... Setting up libmagic1:armhf (1:5.35-4+deb10u1) ... Setting up gettext-base (0.19.8.1-9) ... Setting up xkb-data (2.26-2) ... Setting up libopenexr23:armhf (2.2.1-4.1) ... Setting up libqhull7:armhf (2015.2-4) ... Setting up libzzip-0-13:armhf (0.13.62-3.2) ... Setting up libboost-date-time1.67.0:armhf (1.67.0-13+deb10u1) ... Setting up file (1:5.35-4+deb10u1) ... Setting up libxvidcore4:armhf (2:1.3.5-1) ... Setting up libldap-common (2.4.47+dfsg-3+deb10u2) ... Setting up libjbig0:armhf (2.1-3.1+b2) ... Setting up libgeos-3.7.1:armhf (3.7.1-1) ... Setting up libaec0:armhf (1.0.2-1) ... Setting up libcolord2:armhf (1.4.3-4) ... Setting up libicu63:armhf (63.1-6+deb10u1) ... Setting up gdal-data (2.4.0+dfsg-1) ... Setting up libsnappy1v5:armhf (1.1.7-1) ... Setting up poppler-data (0.4.9-2) ... Setting up libkrb5support0:armhf (1.17-3) ... Setting up libsasl2-modules-db:armhf (2.1.27+dfsg-1+deb10u1) ... Setting up liberror-perl (0.17027-2) ... Setting up libdconf1:armhf (0.30.1-2) ... Setting up libgts-0.7-5:armhf (0.7.6+darcs121130-4) ... Setting up mariadb-common (1:10.3.22-0+deb10u1) ... update-alternatives: using /etc/mysql/mariadb.cnf to provide /etc/mysql/my.cnf (my.cnf) in auto mode Setting up libboost-chrono1.67-dev:armhf (1.67.0-13+deb10u1) ... Setting up autotools-dev (20180224.1) ... Setting up libuv1:armhf (1.24.1-1) ... Setting up libexpat1-dev:armhf (2.2.6-2+deb10u1) ... Setting up libjpeg62-turbo:armhf (1:1.5.2-2+b1) ... Setting up libva2:armhf (2.4.0-1) ... Setting up libx11-data (2:1.6.7-1) ... Setting up libjpeg62-turbo-dev:armhf (1:1.5.2-2+b1) ... Setting up libepoxy0:armhf (1.5.3-0.1) ... Setting up libnspr4:armhf (2:4.20-1) ... Setting up libjbig2dec0:armhf (0.16-1) ... Setting up librtmp1:armhf (2.4+20151223.gitfa8646d.1-2) ... Setting up libteckit0:armhf (2.5.8+ds2-5) ... Setting up bash-completion (1:2.8-6) ... Setting up libpathplan4 (2.40.1-6) ... Setting up libavahi-common-data:armhf (0.7-4+b1) ... Setting up libncurses6:armhf (6.1+20181013-2+deb10u2) ... Setting up libdbus-1-3:armhf (1.12.16-1) ... Setting up dbus (1.12.16-1) ... Running in chroot, ignoring request. invoke-rc.d: policy-rc.d denied execution of start. Setting up libsigsegv2:armhf (2.12-2) ... Setting up libfribidi0:armhf (1.0.5-3.1+deb10u1) ... Setting up libopus0:armhf (1.3-1) ... Setting up t1utils (1.41-3) ... Setting up libexif12:armhf (0.6.21-5.1+deb10u1) ... Setting up libimagequant0:armhf (2.12.2-1.1) ... Setting up libpng16-16:armhf (1.6.36-6) ... Setting up libvorbis0a:armhf (1.3.6-2) ... Setting up libtcl8.6:armhf (8.6.9+dfsg-2) ... Setting up autopoint (0.19.8.1-9) ... Setting up libwebp6:armhf (0.6.1-2) ... Setting up libgeos-c1v5:armhf (3.7.1-1) ... Setting up pkg-config (0.29-6) ... Setting up libmariadb3:armhf (1:10.3.22-0+deb10u1) ... Setting up fonts-dejavu-core (2.37-1) ... Setting up libsocket++1:armhf (1.12.13-10) ... Setting up libsensors5:armhf (1:3.5.0-3) ... Setting up libpcre2-8-0:armhf (10.32-5) ... Setting up libk5crypto3:armhf (1.17-3) ... Setting up libltdl7:armhf (2.4.6-9) ... Setting up liblmdb-dev:armhf (0.9.22-1) ... Setting up libglapi-mesa:armhf (18.3.6-2+deb10u1) ... Setting up libkpathsea6:armhf (2018.20181218.49446-1) ... Setting up libsasl2-2:armhf (2.1.27+dfsg-1+deb10u1) ... Setting up libevent-core-2.1-6:armhf (2.1.8-stable-4) ... Setting up libgfortran5:armhf (8.3.0-6) ... Setting up libevent-2.1-6:armhf (2.1.8-stable-4) ... Setting up libhdf4-0-alt (4.2.13-4) ... Setting up liblzma-dev:armhf (5.2.4-1) ... Setting up libgif7:armhf (5.1.4-3) ... Setting up zlib1g-dev:armhf (1:1.2.11.dfsg-1) ... Setting up libatk1.0-data (2.30.0-2) ... Setting up liburiparser1:armhf (0.9.1-1) ... Setting up libfreexl1:armhf (1.0.5-3) ... Setting up sensible-utils (0.0.12) ... Setting up ocl-icd-libopencl1:armhf (2.2.12-2) ... Setting up libxshmfence1:armhf (1.3-1) ... Setting up libmime-charset-perl (1.012.2-1) ... Setting up librhash0:armhf (1.3.8-1) ... Setting up libwavpack1:armhf (5.1.0-6) ... Setting up libfyba0:armhf (4.1.1-6) ... Setting up libxxhash0:armhf (0.6.5-2) ... Setting up libuchardet0:armhf (0.0.6-3) ... Setting up procps (2:3.3.15-2) ... update-alternatives: using /usr/bin/w.procps to provide /usr/bin/w (w) in auto mode Setting up libkmlbase1:armhf (1.3.0-7) ... Setting up libnl-3-200:armhf (3.4.0-1) ... Setting up libboost-python1.67.0 (1.67.0-13+deb10u1) ... Setting up libpam-systemd:armhf (241-7~deb10u4) ... Setting up fonts-lmodern (2.004.5-6) ... Setting up libopenjp2-7:armhf (2.3.0-2+deb10u1) ... Setting up git-man (1:2.20.1-2+deb10u3) ... Setting up libboost-filesystem1.67.0:armhf (1.67.0-13+deb10u1) ... Setting up libthai-data (0.1.28-2) ... Setting up libssh2-1:armhf (1.8.0-2.1) ... Setting up libboost-atomic1.67.0:armhf (1.67.0-13+deb10u1) ... Setting up libjson-glib-1.0-common (1.4.4-2) ... Setting up cmake-data (3.13.4-1) ... Setting up libcdt5 (2.40.1-6) ... Setting up libboost-system1.67-dev:armhf (1.67.0-13+deb10u1) ... Setting up libatk1.0-0:armhf (2.30.0-2) ... Setting up libkrb5-3:armhf (1.17-3) ... Setting up libcgraph6 (2.40.1-6) ... Setting up libboost-dev:armhf (1.67.0.1) ... Setting up libtiff5:armhf (4.1.0+git191117-2~deb10u1) ... Setting up libprotobuf17:armhf (3.6.1.3-2) ... Setting up libwayland-egl1:armhf (1.16.0-1) ... Setting up libusb-1.0-0:armhf (2:1.0.22-2) ... Setting up libtbb-dev:armhf (2018~U6-4) ... Setting up libgphoto2-port12:armhf (2.5.22-3) ... Setting up libmpdec2:armhf (2.4.2-2) ... Setting up libjs-jquery (3.3.1~dfsg-3) ... Setting up libopencv-core3.2:armhf (3.2.0+dfsg-6) ... Setting up glib-networking-common (2.58.0-2) ... Setting up python-matplotlib-data (3.0.2-2) ... Setting up libboost-serialization1.67.0:armhf (1.67.0-13+deb10u1) ... Setting up libwebpmux3:armhf (0.6.1-2) ... Setting up libbsd0:armhf (0.9.1-2) ... Setting up libdrm-common (2.4.97-1) ... Setting up libelf1:armhf (0.176-1.1) ... Setting up readline-common (7.0-5) ... Setting up libxml2:armhf (2.9.4+dfsg1-7+b3) ... Setting up xdg-utils (1.1.3-1+deb10u1) ... Setting up libopencv-ml3.2:armhf (3.2.0+dfsg-6) ... Setting up libzvbi-common (0.2.35-16) ... Setting up libmp3lame0:armhf (3.100-2+b1) ... Setting up libvpx5:armhf (1.7.0-3+deb10u1) ... Setting up libilmbase-dev (2.2.1-2) ... Setting up libsz2:armhf (1.0.2-1) ... Setting up libvorbisenc2:armhf (1.3.6-2) ... Setting up libjsoncpp1:armhf (1.7.4-3) ... Setting up libsynctex2:armhf (2018.20181218.49446-1) ... Setting up libreadline7:armhf (7.0-5) ... Setting up libkmlxsd1:armhf (1.3.0-7) ... Setting up libtiffxx5:armhf (4.1.0+git191117-2~deb10u1) ... Setting up libpopt0:armhf (1.16-12) ... Setting up libopencv-imgproc3.2:armhf (3.2.0+dfsg-6) ... Setting up libgflags2.2 (2.2.2-1) ... Setting up libxkbcommon0:armhf (0.8.2-1) ... Setting up libkmldom1:armhf (1.3.0-7) ... Setting up libpotrace0:armhf (1.15-1) ... Setting up libwayland-client0:armhf (1.16.0-1) ... Setting up libspatialite7:armhf (4.3.0a-5+b2) ... Setting up libboost-atomic1.67-dev:armhf (1.67.0-13+deb10u1) ... Setting up libfile-stripnondeterminism-perl (1.1.2-1) ... Setting up glib-networking-services (2.58.0-2) ... Setting up libboost-serialization1.67-dev:armhf (1.67.0-13+deb10u1) ... Setting up libzvbi0:armhf (0.2.35-16) ... Setting up libevent-pthreads-2.1-6:armhf (2.1.8-stable-4) ... Setting up libleveldb1d:armhf (1.20-2.1) ... Setting up libice6:armhf (2:1.0.9-2) ... Setting up libxdmcp6:armhf (1:1.1.2-3) ... Setting up libpython3.7-stdlib:armhf (3.7.3-2+deb10u1) ... Setting up libexif-dev:armhf (0.6.21-5.1+deb10u1) ... Setting up libogdi3.2 (3.2.1+ds-4) ... Setting up libxcb1:armhf (1.13.1-2) ... Setting up libprotoc17:armhf (3.6.1.3-2) ... Setting up libkmlengine1:armhf (1.3.0-7) ... Setting up libboost-filesystem1.67-dev:armhf (1.67.0-13+deb10u1) ... Setting up protobuf-compiler (3.6.1.3-2) ... Setting up libwoff1:armhf (1.0.2-1) ... Setting up libopencv-photo3.2:armhf (3.2.0+dfsg-6) ... Setting up libkmlconvenience1:armhf (1.3.0-7) ... Setting up libleveldb-dev:armhf (1.20-2.1) ... Setting up libboost-thread1.67.0:armhf (1.67.0-13+deb10u1) ... Setting up libpython3.7:armhf (3.7.3-2+deb10u1) ... Setting up libtool (2.4.6-9) ... Setting up libarchive13:armhf (3.3.3-4+deb10u1) ... Setting up libxcb-render0:armhf (1.13.1-2) ... Setting up libhwloc5:armhf (1.11.12-3) ... Setting up libpython3.7-dev:armhf (3.7.3-2+deb10u1) ... Setting up libxcb-glx0:armhf (1.13.1-2) ... Setting up libwebpdemux2:armhf (0.6.1-2) ... Setting up libedit2:armhf (3.1-20181209-1) ... Setting up libboost-system-dev:armhf (1.67.0.1) ... Setting up libsnappy-dev:armhf (1.1.7-1) ... Setting up libpng-dev:armhf (1.6.36-6) ... Setting up libaec-dev:armhf (1.0.2-1) ... Setting up libavahi-common3:armhf (0.7-4+b1) ... Setting up libjpeg-dev (1:1.5.2-2) ... Setting up libdc1394-22:armhf (2.2.5-1) ... Setting up libjbig-dev:armhf (2.1-3.1+b2) ... Setting up bc (1.07.1-2+b1) ... Setting up libldap-2.4-2:armhf (2.4.47+dfsg-3+deb10u2) ... Setting up m4 (1.4.18-2) ... Setting up libdap25:armhf (3.20.3-1) ... Setting up libnss3:armhf (2:3.42.1-1+deb10u2) ... Setting up libxcb-shm0:armhf (1.13.1-2) ... Setting up libepsilon1:armhf (0.9.2+dfsg-4) ... Setting up libhwloc-plugins:armhf (1.11.12-3) ... Setting up libllvm6.0:armhf (1:6.0.1-10) ... Setting up libdapserver7v5:armhf (3.20.3-1) ... Setting up libclang1-6.0:armhf (1:6.0.1-10) ... Setting up liblept5 (1.76.0-1) ... Setting up libjson-glib-1.0-0:armhf (1.4.4-2) ... Setting up libnl-route-3-200:armhf (3.4.0-1) ... Setting up libpython2.7-stdlib:armhf (2.7.16-2+deb10u1) ... Setting up libprotobuf-dev:armhf (3.6.1.3-2) ... Setting up libxcb-present0:armhf (1.13.1-2) ... Setting up libthai0:armhf (0.1.28-2) ... Setting up libvorbisfile3:armhf (1.3.6-2) ... Setting up dbus-user-session (1.12.16-1) ... Setting up libgeotiff2:armhf (1.4.3-1) ... Setting up libboost-date-time1.67-dev:armhf (1.67.0-13+deb10u1) ... Setting up libblas3:armhf (3.8.0-2) ... update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode Setting up libopenexr-dev (2.2.1-4.1) ... Setting up doxygen (1.8.13-10) ... Setting up libjs-jquery-ui (1.12.1+dfsg-5) ... Setting up libptexenc1:armhf (2018.20181218.49446-1) ... Setting up libfreetype6:armhf (2.9.1-3+deb10u1) ... Setting up libtiff-dev:armhf (4.1.0+git191117-2~deb10u1) ... Setting up libgdcm2.8:armhf (2.8.8-9) ... Setting up libxcb-sync1:armhf (1.13.1-2) ... Setting up libkmlregionator1:armhf (1.3.0-7) ... Setting up libhdf5-103:armhf (1.10.4+repack-10) ... Setting up shared-mime-info (1.10-1) ... Setting up bsdmainutils (11.1.2+b1) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up libgssapi-krb5-2:armhf (1.17-3) ... Setting up libgflags-dev (2.2.2-1) ... Setting up libopencv-video3.2:armhf (3.2.0+dfsg-6) ... Setting up libcroco3:armhf (0.6.12-3) ... Setting up libodbc1:armhf (2.3.6-0.1) ... Setting up ucf (3.0038+nmu1) ... Setting up libtesseract4:armhf (4.0.0-2) ... Setting up autoconf (2.69-11) ... Setting up libxcb-dri2-0:armhf (1.13.1-2) ... Setting up libgvpr2 (2.40.1-6) ... Setting up libdrm2:armhf (2.4.97-1) ... Setting up dwz (0.12-3) ... Setting up libgdcm2-dev (2.8.8-9) ... Setting up libopencv-flann3.2:armhf (3.2.0+dfsg-6) ... Setting up libopencv-core-dev:armhf (3.2.0+dfsg-6) ... Setting up libva-drm2:armhf (2.4.0-1) ... Setting up libprotoc-dev:armhf (3.6.1.3-2) ... Setting up groff-base (1.22.4-3) ... Setting up libwayland-cursor0:armhf (1.16.0-1) ... Setting up libcurl4:armhf (7.64.0-4+deb10u1) ... Setting up libllvm7:armhf (1:7.0.1-8) ... Setting up libx11-6:armhf (2:1.6.7-1) ... Setting up libharfbuzz0b:armhf (2.3.1-1) ... Setting up libxcomposite1:armhf (1:0.4.4-2) ... Setting up libsm6:armhf (2:1.2.3-1) ... Setting up libgoogle-glog0v5 (0.3.5-1) ... Setting up libopenmpt0:armhf (0.4.3-1) ... Setting up libavahi-client3:armhf (0.7-4+b1) ... Setting up libboost-filesystem-dev:armhf (1.67.0.1) ... Setting up libblas-dev:armhf (3.8.0-2) ... update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so to provide /usr/lib/arm-linux-gnueabihf/libblas.so (libblas.so-arm-linux-gnueabihf) in auto mode Setting up libpython3-stdlib:armhf (3.7.3-1) ... Setting up libdrm-amdgpu1:armhf (2.4.97-1) ... Setting up libssh-gcrypt-4:armhf (0.8.7-1+deb10u1) ... Setting up automake (1:1.16.1-4) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libxcb-dri3-0:armhf (1.13.1-2) ... Setting up libpaper1:armhf (1.1.28) ... Creating config file /etc/papersize with new version Setting up python3.7 (3.7.3-2+deb10u1) ... Setting up libopencv-flann-dev:armhf (3.2.0+dfsg-6) ... Setting up libibverbs1:armhf (22.1-1) ... Setting up libpython2.7:armhf (2.7.16-2+deb10u1) ... Setting up liblapack3:armhf (3.8.0-2) ... update-alternatives: using /usr/lib/arm-linux-gnueabihf/lapack/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode Setting up libpython2.7-dev:armhf (2.7.16-2+deb10u1) ... Setting up libdrm-nouveau2:armhf (2.4.97-1) ... Setting up gettext (0.19.8.1-9) ... Setting up libharfbuzz-icu0:armhf (2.3.1-1) ... Setting up libopencv-ml-dev:armhf (3.2.0+dfsg-6) ... Setting up libdrm-etnaviv1:armhf (2.4.97-1) ... Setting up libpython3-dev:armhf (3.7.3-1) ... Setting up libxpm4:armhf (1:3.5.12-1) ... Setting up libdc1394-22-dev:armhf (2.2.5-1) ... Setting up python2.7 (2.7.16-2+deb10u1) ... Setting up libxrender1:armhf (1:0.9.10-1) ... Setting up libpmix2:armhf (3.1.2-3) ... Setting up libboost-thread1.67-dev:armhf (1.67.0-13+deb10u1) ... Setting up libpython2-stdlib:armhf (2.7.16-1) ... Setting up libsombok3:armhf (2.4.0-2) ... Setting up libdrm-radeon1:armhf (2.4.97-1) ... Setting up fontconfig-config (2.13.1-2) ... Setting up libopenmpi3:armhf (3.1.3-11) ... Setting up libgl1-mesa-dri:armhf (18.3.6-2+deb10u1) ... Setting up libhdf5-cpp-103:armhf (1.10.4+repack-10) ... Setting up libarpack2:armhf (3.7.0-2) ... Setting up libpq5:armhf (11.7-0+deb10u1) ... Setting up libsuperlu5:armhf (5.2.1+dfsg1-4) ... Setting up libxext6:armhf (2:1.3.3-1+b2) ... Setting up libcurl3-gnutls:armhf (7.64.0-4+deb10u1) ... Setting up libnetcdf13:armhf (1:4.6.2-1) ... Setting up dconf-service (0.30.1-2) ... Setting up python3 (3.7.3-1) ... Setting up libpaper-utils (1.1.28) ... Setting up libatspi2.0-0:armhf (2.30.0-7) ... Setting up man-db (2.8.5-2) ... Not building database; man-db/auto-update is not 'true'. Created symlink /etc/systemd/system/timers.target.wants/man-db.timer -> /lib/systemd/system/man-db.timer. Setting up python2 (2.7.16-1) ... Setting up libopencv-ts-dev:armhf (3.2.0+dfsg-6) ... Setting up python3.7-dev (3.7.3-2+deb10u1) ... 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Setting up libopencv3.2-java (3.2.0+dfsg-6) ... Setting up libopencv-dev (3.2.0+dfsg-6) ... Processing triggers for libc-bin (2.28-10) ... Processing triggers for systemd (241-7~deb10u4) ... Processing triggers for libgdk-pixbuf2.0-0:armhf (2.38.1+dfsg-1) ... Processing triggers for tex-common (6.11) ... Running updmap-sys. This may take some time... done. Running mktexlsr /var/lib/texmf ... done. Building format(s) --all. This may take some time... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps Reading package lists... Building dependency tree... Reading state information... fakeroot is already the newest version (1.23-1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-2 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Mo Zhou dpkg-source --before-build . dpkg-buildpackage: info: host architecture armhf fakeroot debian/rules clean dh clean \ --buildsystem=cmake \ --with python3,bash-completion debian/rules override_dh_auto_clean make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_clean --builddirectory="caffe_cpu_build" rm -f -rf python/caffe/proto/ doxygen rm -f python/caffe/_caffe.so find . -type d -name '__pycache__' -exec rm -rf '{}' + make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_autoreconf_clean -O--buildsystem=cmake dh_clean -O--buildsystem=cmake debian/rules build dh build \ --buildsystem=cmake \ --with python3,bash-completion dh_update_autotools_config -O--buildsystem=cmake dh_autoreconf -O--buildsystem=cmake debian/rules override_dh_auto_configure make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{arm-linux-gnueabihf}g;' \ < debian/libcaffe-cpu-dev.install.in > debian/libcaffe-cpu-dev.install perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{arm-linux-gnueabihf}g;' \ < debian/libcaffe-cpu1.install.in > debian/libcaffe-cpu1.install dh_auto_configure --builddirectory="caffe_cpu_build" \ -- -DALLOW_LMDB_NOLOCK=OFF -DBLAS="Generic" -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version="3" -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS="-g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_CXX_FLAGS="-g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX="/usr" -DCPU_ONLY=ON cd caffe_cpu_build && cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=None -DCMAKE_INSTALL_SYSCONFDIR=/etc -DCMAKE_INSTALL_LOCALSTATEDIR=/var -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_RUNSTATEDIR=/run "-GUnix Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON -DCMAKE_INSTALL_LIBDIR=lib/arm-linux-gnueabihf -DALLOW_LMDB_NOLOCK=OFF -DBLAS=Generic -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version=3 -DCMAKE_BUILD_TYPE=Release "-DCMAKE_C_FLAGS=-g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" "-DCMAKE_CXX_FLAGS=-g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX=/usr -DCPU_ONLY=ON .. -- The C compiler identification is GNU 8.3.0 -- The CXX compiler identification is GNU 8.3.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Looking for pthread_create -- Looking for pthread_create - not found -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Boost version: 1.67.0 -- Found the following Boost libraries: -- system -- thread -- filesystem -- chrono -- date_time -- atomic -- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/arm-linux-gnueabihf/libgflags.so) -- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/arm-linux-gnueabihf/libglog.so) -- Found Protobuf: /usr/lib/arm-linux-gnueabihf/libprotobuf.so;-lpthread (found version "3.6.1") -- Found PROTOBUF Compiler: /usr/bin/protoc -- HDF5: Using hdf5 compiler wrapper to determine C configuration -- HDF5: Using hdf5 compiler wrapper to determine CXX configuration -- Found HDF5: /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so;/usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so;/usr/lib/arm-linux-gnueabihf/libpthread.so;/usr/lib/arm-linux-gnueabihf/libsz.so;/usr/lib/arm-linux-gnueabihf/libz.so;/usr/lib/arm-linux-gnueabihf/libdl.so;/usr/lib/arm-linux-gnueabihf/libm.so (found version "1.10.4") found components: HL -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/arm-linux-gnueabihf/liblmdb.so) -- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/arm-linux-gnueabihf/libleveldb.so) -- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/arm-linux-gnueabihf/libsnappy.so) -- -- CUDA is disabled. Building without it... -- OpenCV found (/usr/share/OpenCV) -- Looking for sgemm_ -- Looking for sgemm_ - found -- Found BLAS: /usr/lib/arm-linux-gnueabihf/libblas.so -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.7.3", minimum required is "3.0") -- Found PythonLibs: /usr/lib/arm-linux-gnueabihf/libpython3.7m.so (found suitable version "3.7.3", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.16.2", minimum required is "1.7.1") -- NumPy ver. 1.16.2 found (include: /usr/lib/python3/dist-packages/numpy/core/include) -- Boost version: 1.67.0 -- Found the following Boost libraries: -- python3 -- Found Git: /usr/bin/git (found version "2.20.1") -- -- ******************* Caffe Configuration Summary ******************* -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : OFF -- CPU_ONLY : ON -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Generic) -- Boost : Yes (ver. 1.67) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. 3.6.1) -- lmdb : Yes (ver. 0.9.22) -- LevelDB : Yes (ver. 1.20) -- Snappy : Yes (ver. ..) -- OpenCV : Yes (ver. 3.2.0) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.7.3) -- Libraries : /usr/lib/arm-linux-gnueabihf/libpython3.7m.so (ver 3.7.3) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.16.2) -- -- Install: -- Install path : /usr -- -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: USE_CUDNN -- Build files have been written to: /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all cd caffe_cpu_build && make -j3 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/caffe-1.0.0+git20180821.99bd997/src -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= Scanning dependencies of target caffeproto make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -isystem /usr/include/hdf5/serial -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o -c /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/caffe.pb.cc [ 1%] Linking CXX static library ../../lib/libcaffeproto.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -P CMakeFiles/caffeproto.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffeproto.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libcaffeproto.a CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o /usr/bin/ranlib ../../lib/libcaffeproto.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= Scanning dependencies of target caffe make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/common.cpp [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp In file included from /usr/include/c++/8/vector:69, from /usr/include/opencv2/core/types.hpp:53, from /usr/include/opencv2/core.hpp:58, from /usr/include/opencv2/core/core.hpp:48, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(std::vector<_Tp, _Alloc>::iterator, _Args&& ...) [with _Args = {const double&}; _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:413:7: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /usr/include/opencv2/core/types.hpp:53, from /usr/include/opencv2/core.hpp:58, from /usr/include/opencv2/core/core.hpp:48, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::DataTransformer::Transform(const caffe::Datum&, Dtype*) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:1085:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), __x); ^~~~~~~~~~~~~~~~~ [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/internal_thread.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/internal_thread.cpp /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::DataTransformer::Transform(const cv::Mat&, caffe::Blob*) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:1085:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), __x); ^~~~~~~~~~~~~~~~~ [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer_factory.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layer.hpp:6, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layer.hpp:6, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::set_loss(int, Dtype) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/absval_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/absval_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/absval_layer.cpp [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/accuracy_layer.cpp /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:5: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] } catch (bp::error_already_set) { ^~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:5: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] [ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/argmax_layer.cpp [ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/base_conv_layer.cpp In file included from /usr/include/c++/8/bits/stl_algo.h:61, from /usr/include/c++/8/algorithm:62, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/argmax_layer.cpp:1: /usr/include/c++/8/bits/stl_heap.h: In function 'void std::__adjust_heap(_RandomAccessIterator, _Distance, _Distance, _Tp, _Compare) [with _RandomAccessIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Distance = int; _Tp = std::pair; _Compare = __gnu_cxx::__ops::_Iter_comp_iter > >]': /usr/include/c++/8/bits/stl_heap.h:214:5: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >' changed in GCC 7.1 __adjust_heap(_RandomAccessIterator __first, _Distance __holeIndex, ^~~~~~~~~~~~~ [ 11%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/base_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/base_data_layer.cpp [ 11%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/batch_norm_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/batch_norm_layer.cpp [ 13%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/batch_reindex_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/batch_reindex_layer.cpp [ 13%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/bias_layer.cpp [ 15%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/bnll_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/bnll_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/bnll_layer.cpp [ 15%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/clip_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/clip_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/clip_layer.cpp [ 17%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/concat_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/concat_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/concat_layer.cpp [ 17%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/contrastive_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/contrastive_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/contrastive_loss_layer.cpp [ 19%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/conv_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/conv_layer.cpp [ 19%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/crop_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -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/crop_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/crop_layer.cpp [ 21%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_conv_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include 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__x); ^~~~~~~~~~~~~~ [ 51%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/memory_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/memory_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/memory_data_layer.cpp [ 53%] 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/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/scale_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 [ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/sigmoid_layer.cpp.o cd 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/usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::ScaleLayer::LayerSetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 67%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/silence_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/silence_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/silence_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from 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-I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_loss_layer.cpp [ 71%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/split_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m 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-I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/spp_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/spp_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_loss_layer.cpp:3: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_loss_layer.cpp:3: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::SoftmaxWithLossLayer::LayerSetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 73%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/swish_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV 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-I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/tanh_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/spp_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/spp_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/swish_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/swish_layer.cpp:2: 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-I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/net.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp [ 78%] Building CXX object src/caffe/CMakeFiles/caffe.dir/parallel.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/parallel.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/parallel.cpp [ 78%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp In file included from /usr/include/c++/8/vector:69, from /usr/include/opencv2/core/types.hpp:53, from /usr/include/opencv2/core.hpp:58, from /usr/include/opencv2/core/types_c.h:101, from /usr/include/opencv2/core/core_c.h:48, from /usr/include/opencv2/highgui/highgui_c.h:45, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/window_data_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(std::vector<_Tp, _Alloc>::iterator, _Args&& ...) 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[with _Args = {double}; _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:413:7: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 /usr/include/c++/8/bits/vector.tcc: In member function 'void caffe::WindowDataLayer::DataLayerSetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/vector.tcc:109:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), std::forward<_Args>(__args)...); ^~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /usr/include/opencv2/core/types.hpp:53, from /usr/include/opencv2/core.hpp:58, from /usr/include/opencv2/core/types_c.h:101, from /usr/include/opencv2/core/core_c.h:48, from /usr/include/opencv2/highgui/highgui_c.h:45, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/window_data_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h:1085:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), __x); ^~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp:6: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp:4: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(std::vector<_Tp, _Alloc>::iterator, _Args&& ...) [with _Args = {const double&}; _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:413:7: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solvers/adadelta_solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat 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/usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Solver::Test(int) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:1085:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), __x); ^~~~~~~~~~~~~~~~~ [ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solvers/adagrad_solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER 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-I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.7m -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/syncedmem.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/syncedmem.cpp [ 86%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/benchmark.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include 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/usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb -lsnappy /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 -lblas -lpython3.7m -lboost_python3 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_symlink_library ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pycaffe make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 python/CMakeFiles/pycaffe.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= Scanning dependencies of target pycaffe make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Building CXX object python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB 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-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 -lpython3.7m ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 Creating symlink /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && touch /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/__init__.py cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && cp /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/*.py /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 test.testbin make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/test.testbin.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend Scanning dependencies of target gtest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= [ 2%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe [ 60%] Linking CXX static library ../../lib/libgtest.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -E cmake_link_script CMakeFiles/gtest.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libgtest.a CMakeFiles/gtest.dir/gtest-all.cpp.o /usr/bin/ranlib ../../lib/libgtest.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target gtest make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Scanning dependencies of target test.testbin make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp:3: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp:3: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::BatchReindexLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::BatchReindexLayerTest::TestForward() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_blob.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG 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/build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_common.cpp [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_concat_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_concat_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_concat_layer.cpp [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_contrastive_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_contrastive_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_contrastive_loss_layer.cpp [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_convolution_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_convolution_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_convolution_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_concat_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_contrastive_loss_layer.cpp:3: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_concat_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_contrastive_loss_layer.cpp:3: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_crop_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_crop_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_crop_layer.cpp [ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_convolution_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_convolution_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_crop_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_crop_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_layer.cpp:3: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(std::vector<_Tp, _Alloc>::iterator, _Args&& ...) [with _Args = {const double&}; _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:413:7: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_layer.cpp:3: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.cpp /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::DataLayerTest::TestReadCropTrainSequenceSeeded() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:1085:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), __x); ^~~~~~~~~~~~~~~~~ [ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_db.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_db.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_db.cpp /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::DataLayerTest::TestReadCropTrainSequenceUnseeded() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:1085:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), __x); ^~~~~~~~~~~~~~~~~ [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_deconvolution_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.cpp:3: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(std::vector<_Tp, _Alloc>::iterator, _Args&& ...) [with _Args = {const double&}; _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:413:7: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.cpp:3: /usr/include/c++/8/bits/stl_vector.h: In member function 'int caffe::DataTransformTest::NumSequenceMatches(caffe::TransformationParameter, const caffe::Datum&, caffe::Phase) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:1085:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_realloc_insert(end(), __x); ^~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_deconvolution_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_deconvolution_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_dummy_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_dummy_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_dummy_data_layer.cpp [ 71%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_eltwise_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_eltwise_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_eltwise_layer.cpp [ 71%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_embed_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_embed_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_embed_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_dummy_data_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_dummy_data_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_eltwise_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_eltwise_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::GradientChecker::CheckGradientEltwise(caffe::Layer*, const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 72%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_euclidean_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_euclidean_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_euclidean_loss_layer.cpp [ 72%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_filler.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_filler.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filler.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_embed_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_embed_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 73%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_filter_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_filter_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filter_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_euclidean_loss_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_euclidean_loss_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 73%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_flatten_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_flatten_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_flatten_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filter_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filter_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::FilterLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 74%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_gradient_based_solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_gradient_based_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_gradient_based_solver.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_flatten_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_flatten_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 74%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_hdf5_output_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hdf5_output_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5_output_layer.cpp [ 75%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_hdf5data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hdf5data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5data_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5_output_layer.cpp:3: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5_output_layer.cpp:3: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::HDF5OutputLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5data_layer.cpp:3: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5data_layer.cpp:3: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 75%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_hinge_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hinge_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hinge_loss_layer.cpp [ 77%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_im2col_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_im2col_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_im2col_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hinge_loss_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hinge_loss_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::GradientChecker::CheckGradientExhaustive(caffe::Layer*, const std::vector*>&, const std::vector*>&, int) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 77%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_image_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_image_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_image_data_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_im2col_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_im2col_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 78%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_infogain_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_infogain_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_infogain_loss_layer.cpp [ 78%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_inner_product_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_inner_product_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_inner_product_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_image_data_layer.cpp:4: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_image_data_layer.cpp:4: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_infogain_loss_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_infogain_loss_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_inner_product_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_inner_product_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::GradientChecker::CheckGradientExhaustive(caffe::Layer*, const std::vector*>&, const std::vector*>&, int) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 79%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_internal_thread.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_internal_thread.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_internal_thread.cpp [ 79%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_io.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_io.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_io.cpp [ 80%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_layer_factory.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_layer_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_layer_factory.cpp [ 80%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_lrn_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_lrn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lrn_layer.cpp [ 81%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_lstm_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_lstm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lstm_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lrn_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lrn_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 81%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_math_functions.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_math_functions.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_math_functions.cpp [ 82%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_maxpool_dropout_layers.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_maxpool_dropout_layers.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_maxpool_dropout_layers.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lstm_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lstm_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 82%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_memory_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_memory_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_memory_data_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_maxpool_dropout_layers.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_maxpool_dropout_layers.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 83%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_multinomial_logistic_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_multinomial_logistic_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_multinomial_logistic_loss_layer.cpp [ 83%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_mvn_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_mvn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_mvn_layer.cpp In file included from /usr/include/c++/8/vector:69, from /usr/include/opencv2/core/types.hpp:53, from /usr/include/opencv2/core.hpp:58, from /usr/include/opencv2/core/core.hpp:48, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_memory_data_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /usr/include/opencv2/core/types.hpp:53, from /usr/include/opencv2/core.hpp:58, from /usr/include/opencv2/core/core.hpp:48, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_memory_data_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_multinomial_logistic_loss_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_mvn_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_mvn_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_multinomial_logistic_loss_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::MultinomialLogisticLossLayerTest_TestGradientCPU_Test::TestBody() [with gtest_TypeParam_ = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 85%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_net.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_net.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_net.cpp [ 85%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_neuron_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_neuron_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_neuron_layer.cpp [ 86%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_platform.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_platform.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_platform.cpp [ 86%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_pooling_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_pooling_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_neuron_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_neuron_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 87%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_power_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_power_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_power_layer.cpp [ 87%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_protobuf.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_protobuf.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_protobuf.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_power_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_power_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 88%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_random_number_generator.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_random_number_generator.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_random_number_generator.cpp /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::PowerLayerTest::TestBackward(caffe::PowerLayerTest::Dtype, caffe::PowerLayerTest::Dtype, caffe::PowerLayerTest::Dtype) [with TypeParam = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 88%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_reduction_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_reduction_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reduction_layer.cpp [ 89%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_reshape_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_reshape_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reshape_layer.cpp [ 89%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_rnn_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_rnn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_rnn_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reduction_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reduction_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reshape_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reshape_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::ReductionLayerTest::TestGradient(caffe::ReductionParameter_ReductionOp, float, int) [with TypeParam = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_rnn_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_rnn_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 90%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_scale_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_scale_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp [ 90%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_sigmoid_cross_entropy_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_sigmoid_cross_entropy_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_sigmoid_cross_entropy_loss_layer.cpp [ 91%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_slice_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_slice_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_sigmoid_cross_entropy_loss_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_sigmoid_cross_entropy_loss_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::SigmoidCrossEntropyLossLayerTest::TestForward() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 91%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_softmax_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_softmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_layer.cpp [ 93%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_softmax_with_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_softmax_with_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp [ 93%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 94%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_solver_factory.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_solver_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver_factory.cpp /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::SoftmaxWithLossLayerTest_TestForwardIgnoreLabel_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 94%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_split_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_split_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp [ 95%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_spp_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_spp_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_spp_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ [ 95%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_stochastic_pooling.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_stochastic_pooling.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::SplitLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::SplitLayerTest_Test_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::SplitLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_spp_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ [ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_syncedmem.cpp In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_spp_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::CPUStochasticPoolingLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp [ 97%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_threshold_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_threshold_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_threshold_layer.cpp [ 97%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_tile_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_tile_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tile_layer.cpp In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp:2: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp:2: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_threshold_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_threshold_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:69, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tile_layer.cpp:1: /usr/include/c++/8/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/8/bits/vector.tcc:478:5: note: parameter passing for argument of type 'std::vector >::iterator' {aka '__gnu_cxx::__normal_iterator > >'} changed in GCC 7.1 vector<_Tp, _Alloc>:: ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/8/vector:64, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tile_layer.cpp:1: /usr/include/c++/8/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/8/bits/stl_vector.h:847:4: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 _M_fill_insert(end(), __new_size - size(), __x); ^~~~~~~~~~~~~~ [ 98%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_upgrade_proto.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. 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-fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/extract_features.dir/extract_features.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/extract_features.cpp [ 85%] Linking CXX executable upgrade_solver_proto_text cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_solver_proto_text.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -o upgrade_solver_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 85%] Built target upgrade_solver_proto_text make -f 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tools/CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/convert_imageset.cpp [ 87%] Linking CXX executable convert_imageset cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_imageset.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -o convert_imageset ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 87%] Built target convert_imageset make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake --color= [ 89%] Linking CXX executable caffe cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.bin.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/caffe.bin.dir/caffe.cpp.o -o caffe ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 Scanning dependencies of target upgrade_net_proto_binary make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 89%] Building CXX object 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tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake --color= Scanning dependencies of target upgrade_net_proto_text make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 89%] Building CXX object 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/usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/classification.dir/cpp_classification/classification.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/examples/cpp_classification/classification.cpp [ 92%] Linking CXX executable upgrade_net_proto_binary cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_binary.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o -o 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'/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 92%] Built target upgrade_net_proto_binary make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= Scanning dependencies of target convert_cifar_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Building CXX object examples/CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/examples/cifar10/convert_cifar_data.cpp [ 95%] Linking CXX executable upgrade_net_proto_text cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_text.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o -o upgrade_net_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so 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/build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= Scanning dependencies of target convert_mnist_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 96%] Building CXX object examples/CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/examples/mnist/convert_mnist_data.cpp [ 96%] Linking CXX executable cifar10/convert_cifar_data cd /build/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 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o -o cifar10/convert_cifar_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 [ 96%] Linking CXX executable mnist/convert_mnist_data cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_mnist_data.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o -o mnist/convert_mnist_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 96%] Built target convert_cifar_data make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= Scanning dependencies of target convert_mnist_siamese_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Building CXX object examples/CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/examples/siamese/convert_mnist_siamese_data.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target convert_mnist_data make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe [100%] Linking CXX executable cpp_classification/classification cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/classification.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/classification.dir/cpp_classification/classification.cpp.o -o cpp_classification/classification ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target classification [100%] Linking CXX executable siamese/convert_mnist_siamese_data cd /build/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 -ffile-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o -o siamese/convert_mnist_siamese_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.3.2.0 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.3.2.0 -lblas -lboost_python3 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target convert_mnist_siamese_data make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-indep make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' doxygen .Doxyfile # we don't use BUILD_DOC provided by upstream cmake /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp:557: warning: no matching class member found for template < Dtype > const vector< Blob< Dtype > * > & caffe::Net< Dtype >::Forward(const vector< caffe::Blob< Dtype > * > &bottom, Dtype *loss) Possible candidates: const vector< Blob< Dtype > * > & caffe::Net< Dtype >::Forward(Dtype *loss=NULL) const vector< Blob< Dtype > * > & caffe::Net< Dtype >::Forward(const vector< Blob< Dtype > * > &bottom, Dtype *loss=NULL) /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:10: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:26: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:42: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/solver_factory.hpp:58: warning: Unsupported xml/html tag found /build/caffe-1.0.0+git20180821.99bd997/include/caffe/data_transformer.hpp:131: warning: argument 'mat_vector' of command @param is not found in the argument list of caffe::DataTransformer< Dtype >::Rand(int n) /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:22: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:23: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:24: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:25: warning: Found unknown command `\tanh' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:27: warning: Found unknown command `\tanh' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:97: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:98: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:99: warning: Found unknown command `\sigmoid' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:100: warning: Found unknown command `\tanh' /build/caffe-1.0.0+git20180821.99bd997/include/caffe/layers/lstm_layer.hpp:104: warning: Found unknown command `\tanh' This is pdfTeX, Version 3.14159265-2.6-1.40.19 (TeX Live 2019/dev/Debian) (preloaded format=latex) restricted \write18 enabled. entering extended mode (./_formulas.tex LaTeX2e <2018-12-01> (/usr/share/texlive/texmf-dist/tex/latex/base/article.cls Document Class: article 2018/09/03 v1.4i Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo)) (/usr/share/texlive/texmf-dist/tex/latex/graphics/epsfig.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty 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(./namespaces.tex (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd)) [1] [2] Chapter 2. (./hierarchy.tex [3] [4]) [5] [6] Chapter 3. (./annotated.tex Underfull \hbox (badness 1248) in paragraph at lines 9--9 \T1/phv/m/n/10 Abstract base class that fac-tors out the B[]L[]AS code com-mon to [][]Convolution[]Layer[][] and [7] [8] [9] Underfull \vbox (badness 10000) has occurred while \output is active [10]) [11] [12] Chapter 4. (./namespaceboost.tex) (./namespacecaffe.tex [13] [14] [15] [16] [17] [18] [19] [20] Underfull \hbox (badness 824) in paragraph at lines 562--565 [][] \T1/phv/m/n/10 bool \T1/phv/b/n/10 Upgrade[]V0[]Layer[]Parameter \T1/phv/m /n/10 (const V1[]Layer[]Parameter &v0[]_[]layer[]_[]connection, V1[]Layer[]Para meter [21] [22] [23] [24] [25] [26] [27]) (./namespacecaffe_1_1SolverAction.tex) [28] [29] [30] Chapter 5. 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(./namespaces.tex (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd)) [1] [2] Chapter 2. (./hierarchy.tex [3] [4]) [5] [6] Chapter 3. (./annotated.tex Underfull \hbox (badness 1248) in paragraph at lines 9--9 \T1/phv/m/n/10 Abstract base class that fac-tors out the B[]L[]AS code com-mon to [][]Convolution[]Layer[][] and [7] [8] [9] Underfull \vbox (badness 10000) has occurred while \output is active [10]) [11] [12] Chapter 4. (./namespaceboost.tex) (./namespacecaffe.tex [13] [14] [15] [16] [17] [18] [19] [20] Underfull \hbox (badness 824) in paragraph at lines 562--565 [][] \T1/phv/m/n/10 bool \T1/phv/b/n/10 Upgrade[]V0[]Layer[]Parameter \T1/phv/m /n/10 (const V1[]Layer[]Parameter &v0[]_[]layer[]_[]connection, V1[]Layer[]Para meter [21] [22] [23] [24] [25] [26] [27]) (./namespacecaffe_1_1SolverAction.tex) [28] [29] [30] Chapter 5. 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Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. [264 <./classcaffe_1_1UniformFiller.pdf> <./classcaffe_1_1WindowDataLayer.pdf>] [265]) (./classcaffe_1_1XavierFiller.tex Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. Package hyperref Warning: Token not allowed in a PDF string (Unicode): (hyperref) removing `math shift' on input line 1. [266 <./classcaffe_1_1XavierFiller.pdf>]) [267] [268] (./refman.ind [269] [270] [271] [272] [273] [274] [275] [276]) (./refman.aux) LaTeX Font Warning: Some font shapes were not available, defaults substituted. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on refman.pdf (298 pages, 1516929 bytes). Transcript written on refman.log. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/doxygen/latex' find docs -name '.gitignore' -delete # lintian vcs-control-file find docs -name '*.html' -exec sed -i -e "s@http://cdn.mathjax.org/mathjax/latest/MathJax.js@file:///usr/share/javascript/mathjax/MathJax.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/js/bootstrap.min.js@file:///usr/share/javascript/bootstrap/js/bootstrap.min.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css@file:///usr/share/javascript/bootstrap/css/bootstrap.min.css@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//code.jquery.com/jquery-2.1.1.js@file:///usr/share/javascript/jquery/jquery.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_test-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ cd caffe_cpu_build && make -j3 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j3 make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Nothing to be done for 'test'. /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 runtest make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/runtest.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 2%] Built target caffeproto [ 2%] Built target gtest make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997 && /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* Note: Randomizing tests' orders with a seed of 63935 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (37 ms) [----------] 1 test from SolverTest/0 (37 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (9 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (1 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [----------] 27 tests from ReductionLayerTest/0 (29 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (2 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (71 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (6 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (2 ms) [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (1 ms) [----------] 5 tests from MemoryDataLayerTest/0 (82 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) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (1 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (2 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (1 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [----------] 20 tests from FilterNetTest (9 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (1 ms) [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (381 ms) [----------] 3 tests from BatchNormLayerTest/1 (382 ms total) [----------] 3 tests from SyncedMemoryTest [ RUN ] SyncedMemoryTest.TestCPUWrite [ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) [ RUN ] SyncedMemoryTest.TestAllocationCPU [ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) [ RUN ] SyncedMemoryTest.TestInitialization [ OK ] SyncedMemoryTest.TestInitialization (0 ms) [----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (232 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (51 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (31 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (55 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (25 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (130 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (42 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (32 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (137 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (748 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (121 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (120 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (120 ms) [----------] 6 tests from MSRAFillerTest/0 (361 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (1 ms) [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/0 (1 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (2 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (40 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (1 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (2 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (1104 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (36 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (16 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (1999 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (1218 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (164 ms) [----------] 15 tests from ConvolutionLayerTest/0 (4583 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (1 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (218 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (635 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (181 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (10 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (366 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (1 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (168 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (145 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (147 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (204 ms) [----------] 22 tests from ScaleLayerTest/0 (2079 ms total) [----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/0.TestCreateSolver [ OK ] SolverFactoryTest/0.TestCreateSolver (2 ms) [----------] 1 test from SolverFactoryTest/0 (2 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (69 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (75 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (83 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (75 ms) [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (69 ms) [----------] 5 tests from DBTest/1 (371 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (1 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (1 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (1 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [----------] 12 tests from DataTransformTest/1 (3 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (15 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (9 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (9 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (9 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (8 ms) [----------] 10 tests from EltwiseLayerTest/0 (50 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (1 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (21 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (1 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (81 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (72 ms) [----------] 8 tests from SliceLayerTest/1 (176 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (6 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [----------] 9 tests from AccuracyLayerTest/1 (11 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) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (133 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (141 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (42 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (32 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (27 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (26 ms) [----------] 9 tests from AdaGradSolverTest/0 (439 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (26 ms) [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (36 ms) [----------] 2 tests from BilinearFillerTest/0 (62 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (103 ms) [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (103 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (102 ms) [----------] 6 tests from XavierFillerTest/0 (308 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 (1 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (1 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (5901 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [----------] 5 tests from SPPLayerTest/1 (5901 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (1 ms) [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [----------] 4 tests from UniformFillerTest/0 (1 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (458 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (0 ms) [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (130 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (1 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (474 ms) [----------] 7 tests from TileLayerTest/1 (1063 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (200 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (368 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (10 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (186 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (165 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (205 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (142 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (140 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (642 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (1 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [----------] 22 tests from ScaleLayerTest/1 (2059 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (0 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (7 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (8 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (6 ms) [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (6 ms) [----------] 10 tests from PowerLayerTest/0 (34 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (62 ms) [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (21 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (1 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (72 ms) [----------] 8 tests from SliceLayerTest/0 (156 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [----------] 4 tests from GaussianFillerTest/0 (2 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (1 ms) [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (1 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [ RUN ] ConstantFillerTest/0.TestFill5D [ OK ] ConstantFillerTest/0.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill2D [ OK ] ConstantFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from ConstantFillerTest/0 (0 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (545 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (1 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (3602 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (936 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [----------] 11 tests from CropLayerTest/0 (5085 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 (1 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (5 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (6 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (284 ms) [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/1 (284 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (1 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (223 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (285 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [----------] 9 tests from InnerProductLayerTest/0 (509 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (5 ms) [----------] 1 test from HDF5OutputLayerTest/0 (5 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (5 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (7 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (7 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (7 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (6 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (6 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (10 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (48 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (13 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (4 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (1 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (5 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (6 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [----------] 10 tests from ConcatLayerTest/0 (29 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (4 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (5 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (4 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (1 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (4 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (1 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (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.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (1 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (3 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (7 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (5 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (5 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (353 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (311 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (8 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (4 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (6 ms) [----------] 58 tests from NeuronLayerTest/0 (809 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (567 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (2690 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (1373 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (4631 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (30 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (12 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (7 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (9 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (14 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (6 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (28 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (7 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (7 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (10 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (11 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (29 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (11 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (24 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (24 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (24 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (8 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (11 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (12 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (11 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (23 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (14 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (9 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (29 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (27 ms) [----------] 26 tests from IOTest (398 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (1 ms) [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [----------] 3 tests from BlobMathTest/1 (1 ms total) [----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/1.TestCreateSolver [ OK ] SolverFactoryTest/1.TestCreateSolver (2 ms) [----------] 1 test from SolverFactoryTest/1 (2 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (137 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (145 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (45 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (27 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (27 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (36 ms) [----------] 9 tests from AdaGradSolverTest/1 (455 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (26 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (132 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (140 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (132 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (6 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (30 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (27 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (40 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (53 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (133 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [----------] 12 tests from NesterovSolverTest/0 (751 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (1 ms) [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (1 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (0 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (0 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (469 ms) [----------] 3 tests from FilterLayerTest/0 (469 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/0 (0 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (26 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (35 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (133 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (138 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (44 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (40 ms) [----------] 8 tests from AdamSolverTest/1 (449 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (4 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (78 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (2 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (2 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (18 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (2 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (56 ms) [----------] 12 tests from ArgMaxLayerTest/0 (168 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (5 ms) [----------] 1 test from HDF5OutputLayerTest/1 (5 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (88 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (36 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (173 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (19 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (8 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (6 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (53 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (10 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (38 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (38 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (12 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (21 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (9 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (51 ms) [----------] 14 tests from DataLayerTest/0 (564 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (27 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (25 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (128 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (143 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (134 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (132 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (43 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (53 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (34 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (53 ms) [----------] 12 tests from SGDSolverTest/0 (786 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (33 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (43 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (140 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (26 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (135 ms) [----------] 8 tests from AdamSolverTest/0 (415 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (56 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (39 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (155 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (33 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (166 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (96 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (31 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (148 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (61 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (799 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 (2 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (4 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (5 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (30 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (31 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (29 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (151 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (37 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (151 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (152 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (48 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (59 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (141 ms) [----------] 12 tests from NesterovSolverTest/1 (845 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (6 ms total) [----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/0.TestGradient [ OK ] InfogainLossLayerTest/0.TestGradient (4 ms) [ RUN ] InfogainLossLayerTest/0.TestInfogainLoss [ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/0 (4 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (57 ms) [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (11 ms) [----------] 2 tests from HDF5DataLayerTest/0 (68 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 (13 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/1 (13 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (1 ms) [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (0 ms) [----------] 2 tests from InternalThreadTest (1 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (21 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (28 ms) [----------] 5 tests from EmbedLayerTest/1 (49 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 (5 ms) [----------] 2 tests from InfogainLossLayerTest/1 (5 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (39 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (38 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (38 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (116 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (210 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (191 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (190 ms) [----------] 6 tests from MSRAFillerTest/1 (592 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (437 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (1379 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (2023 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (1758 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.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [----------] 11 tests from PoolingLayerTest/1 (5598 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (1 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (510 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (255 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (554 ms) [----------] 6 tests from MVNLayerTest/1 (1320 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (7400 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (10 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (3 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (607 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (642 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (1140 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (101 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (96 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [----------] 9 tests from LSTMLayerTest/0 (10000 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (4977 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (1783 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (482 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (1577 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (585 ms) [----------] 8 tests from Im2colLayerTest/0 (9405 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (15 ms) [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (45 ms) [----------] 2 tests from HDF5DataLayerTest/1 (60 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (6 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (1 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [----------] 12 tests from DataTransformTest/0 (7 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (33 ms) [----------] 1 test from LayerFactoryTest/0 (33 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (654 ms) [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (1 ms) [----------] 2 tests from SoftmaxLayerTest/1 (655 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (14 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (5 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (5 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (14 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (3 ms) [----------] 10 tests from PowerLayerTest/1 (45 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (2627 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (1977 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (2329 ms) [----------] 8 tests from LRNLayerTest/1 (6934 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (1559 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (680 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (3169 ms) [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (5409 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (1 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (222 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (219 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (427 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (1 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (185 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (265 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (161 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (8 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (165 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [----------] 20 tests from BiasLayerTest/1 (1657 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (304 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [----------] 5 tests from BenchmarkTest/0 (604 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (2 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (2 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (11 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (2 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (6 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (61 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (2 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (3 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (2 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (2 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (3 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (180 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (2 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (8 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (2 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (7 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (2 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (2 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (5 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (8 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (11 ms) [----------] 26 tests from NetTest/0 (330 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (1 ms) [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (1 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (16 ms) [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (8 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (10 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (10 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (9 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (10 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (11 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (74 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (104 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (102 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (106 ms) [----------] 6 tests from XavierFillerTest/1 (312 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (20 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (19 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (20 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (60 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (1 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (4040 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (1022 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (584 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (1 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [----------] 11 tests from CropLayerTest/1 (5648 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (5134 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (1 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [----------] 5 tests from SPPLayerTest/0 (5135 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (240 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (611 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (602 ms) [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [----------] 6 tests from MVNLayerTest/0 (1453 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (9 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (2 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (2 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (7 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (2 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (16 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (2 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (5 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (3 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (88 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (3 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (5 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (4 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (2 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (2 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (2 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (5 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (3 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (2 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (2 ms) [----------] 26 tests from NetTest/1 (173 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (3 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (484 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (228 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (2007 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (229 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (11 ms) [----------] 6 tests from RNNLayerTest/0 (2962 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (3 ms) [----------] 1 test from SolverTest/1 (3 ms total) [----------] 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) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (21 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (1 ms) [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (28 ms) [----------] 5 tests from EmbedLayerTest/0 (50 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (2 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (6 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (2 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) [----------] 9 tests from AccuracyLayerTest/0 (13 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) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (11 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (7 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (10 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (1 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (437 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (9 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (11 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (11 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (12 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (8 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (8 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (11 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (5 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (10 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (10 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (1 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (13 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (8 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (8 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (13 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (1 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (19 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (1 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (516 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (5 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (14 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (1 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [----------] 58 tests from NeuronLayerTest/1 (1188 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (206 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (1 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (286 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (249 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (1 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (8 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (411 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (1 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (241 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (172 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (148 ms) [----------] 20 tests from BiasLayerTest/0 (1725 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (1 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (4 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (0 ms) [----------] 8 tests from SplitLayerInsertionTest (7 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (2 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (1036 ms) [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (8 ms) [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (2 ms) [----------] 4 tests from NetUpgradeTest (1048 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 (371 ms) [----------] 2 tests from SoftmaxLayerTest/0 (372 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (4 ms) [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (2 ms) [----------] 3 tests from PaddingLayerUpgradeTest (7 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (9 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (12 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (10 ms) [----------] 10 tests from EltwiseLayerTest/1 (51 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (28 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (40 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (153 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (213 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (32 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (271 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (154 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (63 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (54 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (67 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (9 ms) [----------] 12 tests from SGDSolverTest/1 (1091 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (11 ms) [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) [----------] 3 tests from TanHLayerTest/0 (12 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (3 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (3 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (1569 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (214 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (52 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (45 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (1523 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (16 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (2360 ms) [----------] 15 tests from ConvolutionLayerTest/1 (5787 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (12 ms) [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [----------] 3 tests from SplitLayerTest/0 (12 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (294 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (156 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (65 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (232 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (265 ms) [----------] 5 tests from ImageDataLayerTest/0 (1012 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (127 ms) [----------] 1 test from LayerFactoryTest/1 (127 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (79 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (58 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (12 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (106 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (17 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (31 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (71 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (17 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (170 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (53 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (13 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (11 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (67 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (15 ms) [----------] 14 tests from DataLayerTest/1 (720 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (714 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (13 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (1343 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (9104 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (771 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (3 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (130 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (118 ms) [----------] 9 tests from LSTMLayerTest/1 (12197 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (1640 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (474 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (1956 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (1 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (1174 ms) [----------] 11 tests from PoolingLayerTest/0 (5245 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 (9 ms) [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [----------] 3 tests from TanHLayerTest/1 (9 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 (297 ms) [----------] 2 tests from BatchReindexLayerTest/0 (298 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (1 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (499 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (1 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (486 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (987 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (7 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (1 ms) [----------] 12 tests from ReshapeLayerTest/1 (8 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (7 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (7 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) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (12 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (292 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (2392 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (233 ms) [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (3 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (514 ms) [----------] 6 tests from RNNLayerTest/1 (3446 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (8 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (1 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (14 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (9 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (5 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (1 ms) [----------] 10 tests from ConcatLayerTest/1 (38 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) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (992 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (112 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (45 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (228 ms) [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (536 ms) [----------] 5 tests from DBTest/0 (1913 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (2 ms) [----------] 1 test from SolverTypeUpgradeTest (2 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (1 ms) [----------] 27 tests from ReductionLayerTest/1 (22 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (35 ms) [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (27 ms) [----------] 2 tests from BilinearFillerTest/1 (62 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (3 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (54 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (3 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (21 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (85 ms) [----------] 12 tests from ArgMaxLayerTest/1 (181 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (562 ms) [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [----------] 3 tests from FilterLayerTest/1 (563 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (497 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (543 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (1 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (1041 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 (2 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (2 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (7 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [----------] 6 tests from FlattenLayerTest/0 (8 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (451 ms) [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (1 ms) [----------] 3 tests from BatchNormLayerTest/0 (452 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (0 ms) [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill1D [ OK ] GaussianFillerTest/1.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill5D [ OK ] GaussianFillerTest/1.TestFill5D (1 ms) [----------] 4 tests from GaussianFillerTest/1 (3 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [----------] 4 tests from BlobSimpleTest/0 (0 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (1 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1915 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (1678 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (2209 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [----------] 8 tests from LRNLayerTest/0 (5804 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (5 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (2 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (7 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (597 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (1859 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (1909 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (544 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (5033 ms) [----------] 8 tests from Im2colLayerTest/1 (9942 ms total) [----------] 2 tests from CommonTest [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (1 ms) [----------] 2 tests from CommonTest (1 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (307 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (300 ms) [----------] 5 tests from BenchmarkTest/1 (609 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double [ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (4 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/1 (4 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (9 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (69 ms) [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (4 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (2 ms) [----------] 5 tests from MemoryDataLayerTest/1 (85 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (1 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (6 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (12 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (47 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (132 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (140 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (132 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (45 ms) [----------] 8 tests from RMSPropSolverTest/1 (541 ms total) [----------] 1 test from ProtoTest [ RUN ] ProtoTest.TestSerialization Printing in binary format. testTest Printing in text format. name: "test" type: "Test" [ OK ] ProtoTest.TestSerialization (0 ms) [----------] 1 test from ProtoTest (0 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (130 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (130 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (139 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (32 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (52 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (43 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [----------] 8 tests from RMSPropSolverTest/0 (539 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (249 ms) [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (70 ms) [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (69 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (239 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (274 ms) [----------] 5 tests from ImageDataLayerTest/1 (901 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (477 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (137 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (460 ms) [----------] 7 tests from TileLayerTest/0 (1074 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 (236 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (321 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (1 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (558 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (154996 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pytest make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 CMakeFiles/pytest.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/pytest.dir/DependInfo.cmake --color= Scanning dependencies of target pytest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test .../build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead. self.assertEquals(ax, 1) ................WARNING: Logging before InitGoogleLogging() is written to STDERR I0608 17:24:05.207499 23626 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0608 17:24:05.207573 23626 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I0608 17:24:05.207593 23626 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0608 17:24:05.207605 23626 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I0608 17:24:05.207620 23626 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" } } I0608 17:24:05.207760 23626 layer_factory.hpp:77] Creating layer deploy_data I0608 17:24:05.207808 23626 net.cpp:86] Creating Layer deploy_data I0608 17:24:05.207828 23626 net.cpp:382] deploy_data -> data I0608 17:24:05.207899 23626 net.cpp:124] Setting up deploy_data I0608 17:24:05.208016 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.208048 23626 net.cpp:139] Memory required for data: 400 I0608 17:24:05.208063 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.208083 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.208096 23626 net.cpp:408] ip <- data I0608 17:24:05.208112 23626 net.cpp:382] ip -> ip I0608 17:24:05.208190 23626 net.cpp:124] Setting up ip I0608 17:24:05.208205 23626 net.cpp:131] Top shape: 1 2 (2) I0608 17:24:05.208220 23626 net.cpp:139] Memory required for data: 408 I0608 17:24:05.208261 23626 layer_factory.hpp:77] Creating layer pred I0608 17:24:05.208284 23626 net.cpp:86] Creating Layer pred I0608 17:24:05.208295 23626 net.cpp:408] pred <- ip I0608 17:24:05.208312 23626 net.cpp:382] pred -> pred I0608 17:24:05.208355 23626 net.cpp:124] Setting up pred I0608 17:24:05.208369 23626 net.cpp:131] Top shape: 1 2 (2) I0608 17:24:05.208382 23626 net.cpp:139] Memory required for data: 416 I0608 17:24:05.208392 23626 net.cpp:202] pred does not need backward computation. I0608 17:24:05.208403 23626 net.cpp:202] ip does not need backward computation. I0608 17:24:05.208415 23626 net.cpp:202] deploy_data does not need backward computation. I0608 17:24:05.208425 23626 net.cpp:244] This network produces output pred I0608 17:24:05.208438 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.210784 23626 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I0608 17:24:05.210813 23626 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I0608 17:24:05.210829 23626 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I0608 17:24:05.210841 23626 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" } } I0608 17:24:05.210978 23626 layer_factory.hpp:77] Creating layer train_data I0608 17:24:05.211026 23626 net.cpp:86] Creating Layer train_data I0608 17:24:05.211045 23626 net.cpp:382] train_data -> data I0608 17:24:05.211072 23626 net.cpp:382] train_data -> label I0608 17:24:05.211112 23626 net.cpp:124] Setting up train_data I0608 17:24:05.211124 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.211139 23626 net.cpp:131] Top shape: 1 1 1 1 (1) I0608 17:24:05.211153 23626 net.cpp:139] Memory required for data: 404 I0608 17:24:05.211164 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.211181 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.211192 23626 net.cpp:408] ip <- data I0608 17:24:05.211208 23626 net.cpp:382] ip -> ip I0608 17:24:05.211246 23626 net.cpp:124] Setting up ip I0608 17:24:05.211259 23626 net.cpp:131] Top shape: 1 2 (2) I0608 17:24:05.211273 23626 net.cpp:139] Memory required for data: 412 I0608 17:24:05.211297 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.211320 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.211333 23626 net.cpp:408] loss <- ip I0608 17:24:05.211344 23626 net.cpp:408] loss <- label I0608 17:24:05.211360 23626 net.cpp:382] loss -> loss I0608 17:24:05.211385 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.211431 23626 net.cpp:124] Setting up loss I0608 17:24:05.211442 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.211455 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.211477 23626 net.cpp:139] Memory required for data: 416 I0608 17:24:05.211488 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.211504 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.211516 23626 net.cpp:202] train_data does not need backward computation. I0608 17:24:05.211525 23626 net.cpp:244] This network produces output loss I0608 17:24:05.211539 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.213498 23626 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0608 17:24:05.213537 23626 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I0608 17:24:05.213553 23626 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0608 17:24:05.213568 23626 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I0608 17:24:05.213580 23626 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" } } I0608 17:24:05.213721 23626 layer_factory.hpp:77] Creating layer val_data I0608 17:24:05.213747 23626 net.cpp:86] Creating Layer val_data I0608 17:24:05.213762 23626 net.cpp:382] val_data -> data I0608 17:24:05.213789 23626 net.cpp:382] val_data -> label I0608 17:24:05.213825 23626 net.cpp:124] Setting up val_data I0608 17:24:05.213840 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.213855 23626 net.cpp:131] Top shape: 1 1 1 1 (1) I0608 17:24:05.213867 23626 net.cpp:139] Memory required for data: 404 I0608 17:24:05.213878 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.213896 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.213907 23626 net.cpp:408] ip <- data I0608 17:24:05.213922 23626 net.cpp:382] ip -> ip I0608 17:24:05.213958 23626 net.cpp:124] Setting up ip I0608 17:24:05.213969 23626 net.cpp:131] Top shape: 1 2 (2) I0608 17:24:05.213982 23626 net.cpp:139] Memory required for data: 412 I0608 17:24:05.214007 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.214028 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.214040 23626 net.cpp:408] loss <- ip I0608 17:24:05.214051 23626 net.cpp:408] loss <- label I0608 17:24:05.214067 23626 net.cpp:382] loss -> loss I0608 17:24:05.214087 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.214124 23626 net.cpp:124] Setting up loss I0608 17:24:05.214136 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.214149 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.214169 23626 net.cpp:139] Memory required for data: 416 I0608 17:24:05.214180 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.214192 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.214203 23626 net.cpp:202] val_data does not need backward computation. I0608 17:24:05.214213 23626 net.cpp:244] This network produces output loss I0608 17:24:05.214227 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.215903 23626 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I0608 17:24:05.215931 23626 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I0608 17:24:05.215945 23626 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 } } I0608 17:24:05.216106 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.216128 23626 net.cpp:86] Creating Layer data I0608 17:24:05.216145 23626 net.cpp:382] data -> data I0608 17:24:05.216176 23626 net.cpp:124] Setting up data I0608 17:24:05.216189 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.216203 23626 net.cpp:139] Memory required for data: 400 I0608 17:24:05.216214 23626 layer_factory.hpp:77] Creating layer data_data_0_split I0608 17:24:05.216231 23626 net.cpp:86] Creating Layer data_data_0_split I0608 17:24:05.216243 23626 net.cpp:408] data_data_0_split <- data I0608 17:24:05.216259 23626 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0608 17:24:05.216277 23626 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0608 17:24:05.216296 23626 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0608 17:24:05.216318 23626 net.cpp:124] Setting up data_data_0_split I0608 17:24:05.216329 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.216343 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.216356 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.216501 23626 net.cpp:139] Memory required for data: 1600 I0608 17:24:05.216524 23626 layer_factory.hpp:77] Creating layer NoLevel I0608 17:24:05.216589 23626 net.cpp:86] Creating Layer NoLevel I0608 17:24:05.216611 23626 net.cpp:408] NoLevel <- data_data_0_split_0 I0608 17:24:05.216629 23626 net.cpp:382] NoLevel -> NoLevel I0608 17:24:05.216667 23626 net.cpp:124] Setting up NoLevel I0608 17:24:05.216771 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.216789 23626 net.cpp:139] Memory required for data: 1604 I0608 17:24:05.216814 23626 layer_factory.hpp:77] Creating layer Level0Only I0608 17:24:05.216832 23626 net.cpp:86] Creating Layer Level0Only I0608 17:24:05.216843 23626 net.cpp:408] Level0Only <- data_data_0_split_1 I0608 17:24:05.216859 23626 net.cpp:382] Level0Only -> Level0Only I0608 17:24:05.216892 23626 net.cpp:124] Setting up Level0Only I0608 17:24:05.216904 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.216917 23626 net.cpp:139] Memory required for data: 1608 I0608 17:24:05.216938 23626 layer_factory.hpp:77] Creating layer Level>=0 I0608 17:24:05.216962 23626 net.cpp:86] Creating Layer Level>=0 I0608 17:24:05.216974 23626 net.cpp:408] Level>=0 <- data_data_0_split_2 I0608 17:24:05.216990 23626 net.cpp:382] Level>=0 -> Level>=0 I0608 17:24:05.217020 23626 net.cpp:124] Setting up Level>=0 I0608 17:24:05.217031 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.217044 23626 net.cpp:139] Memory required for data: 1612 I0608 17:24:05.217067 23626 net.cpp:202] Level>=0 does not need backward computation. I0608 17:24:05.217077 23626 net.cpp:202] Level0Only does not need backward computation. I0608 17:24:05.217088 23626 net.cpp:202] NoLevel does not need backward computation. I0608 17:24:05.217100 23626 net.cpp:202] data_data_0_split does not need backward computation. I0608 17:24:05.217110 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.217119 23626 net.cpp:244] This network produces output Level0Only I0608 17:24:05.217129 23626 net.cpp:244] This network produces output Level>=0 I0608 17:24:05.217139 23626 net.cpp:244] This network produces output NoLevel I0608 17:24:05.217156 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.218633 23626 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I0608 17:24:05.218669 23626 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 } } I0608 17:24:05.218858 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.218878 23626 net.cpp:86] Creating Layer data I0608 17:24:05.218891 23626 net.cpp:382] data -> data I0608 17:24:05.218924 23626 net.cpp:124] Setting up data I0608 17:24:05.218936 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.218950 23626 net.cpp:139] Memory required for data: 400 I0608 17:24:05.218961 23626 layer_factory.hpp:77] Creating layer data_data_0_split I0608 17:24:05.218979 23626 net.cpp:86] Creating Layer data_data_0_split I0608 17:24:05.218991 23626 net.cpp:408] data_data_0_split <- data I0608 17:24:05.219007 23626 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0608 17:24:05.219025 23626 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0608 17:24:05.219044 23626 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0608 17:24:05.219063 23626 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0608 17:24:05.219089 23626 net.cpp:124] Setting up data_data_0_split I0608 17:24:05.219099 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.219112 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.219125 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.219137 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.219149 23626 net.cpp:139] Memory required for data: 2000 I0608 17:24:05.219159 23626 layer_factory.hpp:77] Creating layer NoLevel I0608 17:24:05.219175 23626 net.cpp:86] Creating Layer NoLevel I0608 17:24:05.219187 23626 net.cpp:408] NoLevel <- data_data_0_split_0 I0608 17:24:05.219202 23626 net.cpp:382] NoLevel -> NoLevel I0608 17:24:05.219233 23626 net.cpp:124] Setting up NoLevel I0608 17:24:05.219244 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.219256 23626 net.cpp:139] Memory required for data: 2004 I0608 17:24:05.219278 23626 layer_factory.hpp:77] Creating layer Level1Only I0608 17:24:05.219295 23626 net.cpp:86] Creating Layer Level1Only I0608 17:24:05.219305 23626 net.cpp:408] Level1Only <- data_data_0_split_1 I0608 17:24:05.219319 23626 net.cpp:382] Level1Only -> Level1Only I0608 17:24:05.219348 23626 net.cpp:124] Setting up Level1Only I0608 17:24:05.219360 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.219373 23626 net.cpp:139] Memory required for data: 2008 I0608 17:24:05.219393 23626 layer_factory.hpp:77] Creating layer Level>=0 I0608 17:24:05.219408 23626 net.cpp:86] Creating Layer Level>=0 I0608 17:24:05.219419 23626 net.cpp:408] Level>=0 <- data_data_0_split_2 I0608 17:24:05.219434 23626 net.cpp:382] Level>=0 -> Level>=0 I0608 17:24:05.219465 23626 net.cpp:124] Setting up Level>=0 I0608 17:24:05.219475 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.219488 23626 net.cpp:139] Memory required for data: 2012 I0608 17:24:05.219507 23626 layer_factory.hpp:77] Creating layer Level>=1 I0608 17:24:05.219529 23626 net.cpp:86] Creating Layer Level>=1 I0608 17:24:05.219542 23626 net.cpp:408] Level>=1 <- data_data_0_split_3 I0608 17:24:05.219558 23626 net.cpp:382] Level>=1 -> Level>=1 I0608 17:24:05.219588 23626 net.cpp:124] Setting up Level>=1 I0608 17:24:05.219605 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.219619 23626 net.cpp:139] Memory required for data: 2016 I0608 17:24:05.219635 23626 net.cpp:202] Level>=1 does not need backward computation. I0608 17:24:05.219647 23626 net.cpp:202] Level>=0 does not need backward computation. I0608 17:24:05.219658 23626 net.cpp:202] Level1Only does not need backward computation. I0608 17:24:05.219668 23626 net.cpp:202] NoLevel does not need backward computation. I0608 17:24:05.219681 23626 net.cpp:202] data_data_0_split does not need backward computation. I0608 17:24:05.219691 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.219699 23626 net.cpp:244] This network produces output Level1Only I0608 17:24:05.219709 23626 net.cpp:244] This network produces output Level>=0 I0608 17:24:05.219720 23626 net.cpp:244] This network produces output Level>=1 I0608 17:24:05.219730 23626 net.cpp:244] This network produces output NoLevel I0608 17:24:05.219749 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.221495 23626 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" } I0608 17:24:05.221714 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.221740 23626 net.cpp:86] Creating Layer data I0608 17:24:05.221758 23626 net.cpp:382] data -> data I0608 17:24:05.221782 23626 net.cpp:382] data -> label I0608 17:24:05.221812 23626 net.cpp:124] Setting up data I0608 17:24:05.221824 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.221839 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.221853 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.221863 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.221885 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.221897 23626 net.cpp:408] conv <- data I0608 17:24:05.221916 23626 net.cpp:382] conv -> conv I0608 17:24:05.222090 23626 net.cpp:124] Setting up conv I0608 17:24:05.222105 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.222120 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.222143 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.222163 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.222175 23626 net.cpp:408] ip <- conv I0608 17:24:05.222191 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.222541 23626 net.cpp:124] Setting up ip I0608 17:24:05.222555 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.222569 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.222591 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.222607 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.222618 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.222630 23626 net.cpp:408] loss <- label I0608 17:24:05.222643 23626 net.cpp:382] loss -> loss I0608 17:24:05.222662 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.222697 23626 net.cpp:124] Setting up loss I0608 17:24:05.222709 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.222721 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.222738 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.222749 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.222760 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.222771 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.222782 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.222792 23626 net.cpp:244] This network produces output loss I0608 17:24:05.222806 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.257520 23626 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" } I0608 17:24:05.257998 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.258142 23626 net.cpp:86] Creating Layer data I0608 17:24:05.258263 23626 net.cpp:382] data -> data I0608 17:24:05.258329 23626 net.cpp:382] data -> label I0608 17:24:05.258488 23626 net.cpp:124] Setting up data I0608 17:24:05.258529 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.258561 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.258586 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.258608 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.258733 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.258771 23626 net.cpp:408] conv <- data I0608 17:24:05.258896 23626 net.cpp:382] conv -> conv I0608 17:24:05.259034 23626 net.cpp:124] Setting up conv I0608 17:24:05.259063 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.259089 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.259133 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.259168 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.259188 23626 net.cpp:408] ip <- conv I0608 17:24:05.259218 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.259968 23626 net.cpp:124] Setting up ip I0608 17:24:05.260046 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.260162 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.260215 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.260249 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.260272 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.260295 23626 net.cpp:408] loss <- label I0608 17:24:05.260509 23626 net.cpp:382] loss -> loss I0608 17:24:05.260558 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.260624 23626 net.cpp:124] Setting up loss I0608 17:24:05.260648 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.260673 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.260706 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.260727 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.260751 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.260773 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.260794 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.260814 23626 net.cpp:244] This network produces output loss I0608 17:24:05.260843 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.264537 23626 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" } I0608 17:24:05.264894 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.264931 23626 net.cpp:86] Creating Layer data I0608 17:24:05.264952 23626 net.cpp:382] data -> data I0608 17:24:05.264982 23626 net.cpp:382] data -> label I0608 17:24:05.265018 23626 net.cpp:124] Setting up data I0608 17:24:05.265033 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.265048 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.265061 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.265074 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.265100 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.265112 23626 net.cpp:408] conv <- data I0608 17:24:05.265132 23626 net.cpp:382] conv -> conv I0608 17:24:05.265204 23626 net.cpp:124] Setting up conv I0608 17:24:05.265220 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.265260 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.265291 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.265314 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.265326 23626 net.cpp:408] ip <- conv I0608 17:24:05.265345 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.265758 23626 net.cpp:124] Setting up ip I0608 17:24:05.265784 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.265799 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.265825 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.265846 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.265858 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.265870 23626 net.cpp:408] loss <- label I0608 17:24:05.265885 23626 net.cpp:382] loss -> loss I0608 17:24:05.265908 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.265945 23626 net.cpp:124] Setting up loss I0608 17:24:05.265959 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.265971 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.265993 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.266005 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.266018 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.266032 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.266043 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.266055 23626 net.cpp:244] This network produces output loss I0608 17:24:05.266072 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.269250 23626 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" } I0608 17:24:05.269613 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.269652 23626 net.cpp:86] Creating Layer data I0608 17:24:05.269672 23626 net.cpp:382] data -> data I0608 17:24:05.269701 23626 net.cpp:382] data -> label I0608 17:24:05.269737 23626 net.cpp:124] Setting up data I0608 17:24:05.269750 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.269767 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.269779 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.269791 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.269817 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.269830 23626 net.cpp:408] conv <- data I0608 17:24:05.269852 23626 net.cpp:382] conv -> conv I0608 17:24:05.269920 23626 net.cpp:124] Setting up conv I0608 17:24:05.269937 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.269951 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.269979 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.270000 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.270012 23626 net.cpp:408] ip <- conv I0608 17:24:05.270030 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.270440 23626 net.cpp:124] Setting up ip I0608 17:24:05.270469 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.270485 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.270511 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.270530 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.270541 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.270555 23626 net.cpp:408] loss <- label I0608 17:24:05.270570 23626 net.cpp:382] loss -> loss I0608 17:24:05.270594 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.270634 23626 net.cpp:124] Setting up loss I0608 17:24:05.270648 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.270661 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.270684 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.270694 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.270707 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.270720 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.270731 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.270742 23626 net.cpp:244] This network produces output loss I0608 17:24:05.270759 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.275046 23626 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" } I0608 17:24:05.275352 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.275447 23626 net.cpp:86] Creating Layer data I0608 17:24:05.275477 23626 net.cpp:382] data -> data I0608 17:24:05.275604 23626 net.cpp:382] data -> label I0608 17:24:05.275650 23626 net.cpp:124] Setting up data I0608 17:24:05.275665 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.275681 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.275694 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.275707 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.275734 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.275746 23626 net.cpp:408] conv <- data I0608 17:24:05.275768 23626 net.cpp:382] conv -> conv I0608 17:24:05.275838 23626 net.cpp:124] Setting up conv I0608 17:24:05.275853 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.275867 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.275894 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.275915 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.275928 23626 net.cpp:408] ip <- conv I0608 17:24:05.275944 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.276396 23626 net.cpp:124] Setting up ip I0608 17:24:05.276424 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.276439 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.276465 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.276485 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.276496 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.276510 23626 net.cpp:408] loss <- label I0608 17:24:05.276525 23626 net.cpp:382] loss -> loss I0608 17:24:05.276548 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.276585 23626 net.cpp:124] Setting up loss I0608 17:24:05.276597 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.276610 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.276630 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.276641 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.276652 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.276664 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.276675 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.276685 23626 net.cpp:244] This network produces output loss I0608 17:24:05.276700 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.278967 23626 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" } I0608 17:24:05.279326 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.279366 23626 net.cpp:86] Creating Layer data I0608 17:24:05.279386 23626 net.cpp:382] data -> data I0608 17:24:05.279415 23626 net.cpp:382] data -> label I0608 17:24:05.279451 23626 net.cpp:124] Setting up data I0608 17:24:05.279465 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.279482 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.279496 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.279508 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.279533 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.279546 23626 net.cpp:408] conv <- data I0608 17:24:05.279567 23626 net.cpp:382] conv -> conv I0608 17:24:05.279635 23626 net.cpp:124] Setting up conv I0608 17:24:05.279650 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.279664 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.279690 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.279712 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.279724 23626 net.cpp:408] ip <- conv I0608 17:24:05.279740 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.280092 23626 net.cpp:124] Setting up ip I0608 17:24:05.280109 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.280124 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.280148 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.280164 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.280175 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.280187 23626 net.cpp:408] loss <- label I0608 17:24:05.280202 23626 net.cpp:382] loss -> loss I0608 17:24:05.280225 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.280261 23626 net.cpp:124] Setting up loss I0608 17:24:05.280274 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.280287 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.280308 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.280319 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.280331 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.280342 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.280354 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.280365 23626 net.cpp:244] This network produces output loss I0608 17:24:05.280380 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.282618 23626 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" } I0608 17:24:05.282948 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.282987 23626 net.cpp:86] Creating Layer data I0608 17:24:05.283008 23626 net.cpp:382] data -> data I0608 17:24:05.283035 23626 net.cpp:382] data -> label I0608 17:24:05.283067 23626 net.cpp:124] Setting up data I0608 17:24:05.283080 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.283097 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.283109 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.283120 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.283144 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.283155 23626 net.cpp:408] conv <- data I0608 17:24:05.283176 23626 net.cpp:382] conv -> conv I0608 17:24:05.283243 23626 net.cpp:124] Setting up conv I0608 17:24:05.283257 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.283272 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.283298 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.283318 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.283329 23626 net.cpp:408] ip <- conv I0608 17:24:05.283345 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.283684 23626 net.cpp:124] Setting up ip I0608 17:24:05.283699 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.283712 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.283733 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.283749 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.283761 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.283771 23626 net.cpp:408] loss <- label I0608 17:24:05.283785 23626 net.cpp:382] loss -> loss I0608 17:24:05.283804 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.283838 23626 net.cpp:124] Setting up loss I0608 17:24:05.283850 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.283864 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.283881 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.283892 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.283903 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.283913 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.283926 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.283936 23626 net.cpp:244] This network produces output loss I0608 17:24:05.283949 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.286602 23626 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" } I0608 17:24:05.286821 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.286847 23626 net.cpp:86] Creating Layer data I0608 17:24:05.286867 23626 net.cpp:382] data -> data I0608 17:24:05.286896 23626 net.cpp:382] data -> label I0608 17:24:05.286929 23626 net.cpp:124] Setting up data I0608 17:24:05.286943 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.286959 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.286972 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.286983 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.287009 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.287020 23626 net.cpp:408] conv <- data I0608 17:24:05.287039 23626 net.cpp:382] conv -> conv I0608 17:24:05.287106 23626 net.cpp:124] Setting up conv I0608 17:24:05.287119 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.287133 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.287158 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.287178 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.287189 23626 net.cpp:408] ip <- conv I0608 17:24:05.287205 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.287546 23626 net.cpp:124] Setting up ip I0608 17:24:05.287564 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.287578 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.287600 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.287616 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.287627 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.287640 23626 net.cpp:408] loss <- label I0608 17:24:05.287657 23626 net.cpp:382] loss -> loss I0608 17:24:05.287678 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.287717 23626 net.cpp:124] Setting up loss I0608 17:24:05.287730 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.287742 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.287761 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.287772 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.287783 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.287796 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.287806 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.287817 23626 net.cpp:244] This network produces output loss I0608 17:24:05.287832 23626 net.cpp:257] Network initialization done. W0608 17:24:05.295195 23626 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W0608 17:24:05.295240 23626 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W0608 17:24:05.295253 23626 _caffe.cpp:142] Net('/tmp/tmpeockmofm', 0, weights='/tmp/tmpt5immg12') I0608 17:24:05.295619 23626 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" } I0608 17:24:05.295828 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.295855 23626 net.cpp:86] Creating Layer data I0608 17:24:05.295874 23626 net.cpp:382] data -> data I0608 17:24:05.295899 23626 net.cpp:382] data -> label I0608 17:24:05.295933 23626 net.cpp:124] Setting up data I0608 17:24:05.295945 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.295960 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.295974 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.295984 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.296006 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.296017 23626 net.cpp:408] conv <- data I0608 17:24:05.296036 23626 net.cpp:382] conv -> conv I0608 17:24:05.296099 23626 net.cpp:124] Setting up conv I0608 17:24:05.296113 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.296126 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.296151 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.296169 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.296180 23626 net.cpp:408] ip <- conv I0608 17:24:05.296196 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.296535 23626 net.cpp:124] Setting up ip I0608 17:24:05.296550 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.296562 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.296583 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.296600 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.296610 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.296622 23626 net.cpp:408] loss <- label I0608 17:24:05.296636 23626 net.cpp:382] loss -> loss I0608 17:24:05.296654 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.296689 23626 net.cpp:124] Setting up loss I0608 17:24:05.296702 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.296715 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.296730 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.296741 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.296752 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.296763 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.296774 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.296784 23626 net.cpp:244] This network produces output loss I0608 17:24:05.296798 23626 net.cpp:257] Network initialization done. I0608 17:24:05.301532 23626 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" } I0608 17:24:05.302148 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.302208 23626 net.cpp:86] Creating Layer data I0608 17:24:05.302242 23626 net.cpp:382] data -> data I0608 17:24:05.302284 23626 net.cpp:382] data -> label I0608 17:24:05.302422 23626 net.cpp:124] Setting up data I0608 17:24:05.302446 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.302474 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.302497 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.302517 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.302557 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.302577 23626 net.cpp:408] conv <- data I0608 17:24:05.302608 23626 net.cpp:382] conv -> conv I0608 17:24:05.302708 23626 net.cpp:124] Setting up conv I0608 17:24:05.302731 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.302757 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.302799 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.302831 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.302851 23626 net.cpp:408] ip <- conv I0608 17:24:05.302879 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.303490 23626 net.cpp:124] Setting up ip I0608 17:24:05.303514 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.303539 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.303575 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.303602 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.303622 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.303642 23626 net.cpp:408] loss <- label I0608 17:24:05.303668 23626 net.cpp:382] loss -> loss I0608 17:24:05.303700 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.303753 23626 net.cpp:124] Setting up loss I0608 17:24:05.303776 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.303798 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.303826 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.303845 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.303865 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.303884 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.303905 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.303923 23626 net.cpp:244] This network produces output loss I0608 17:24:05.303949 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.308743 23626 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" } I0608 17:24:05.309113 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.309159 23626 net.cpp:86] Creating Layer data I0608 17:24:05.309191 23626 net.cpp:382] data -> data I0608 17:24:05.309267 23626 net.cpp:382] data -> label I0608 17:24:05.309331 23626 net.cpp:124] Setting up data I0608 17:24:05.309346 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.309360 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.309373 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.309383 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.309406 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.309417 23626 net.cpp:408] conv <- data I0608 17:24:05.309433 23626 net.cpp:382] conv -> conv I0608 17:24:05.309501 23626 net.cpp:124] Setting up conv I0608 17:24:05.309515 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.309530 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.309554 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.309576 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.309585 23626 net.cpp:408] ip <- conv I0608 17:24:05.309602 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.309926 23626 net.cpp:124] Setting up ip I0608 17:24:05.309952 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.309968 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.309993 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.310010 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.310021 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.310034 23626 net.cpp:408] loss <- label I0608 17:24:05.310047 23626 net.cpp:382] loss -> loss I0608 17:24:05.310070 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.310107 23626 net.cpp:124] Setting up loss I0608 17:24:05.310124 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.310138 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.310159 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.310170 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.310184 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.310194 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.310204 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.310214 23626 net.cpp:244] This network produces output loss I0608 17:24:05.310228 23626 net.cpp:257] Network initialization done. I0608 17:24:05.314373 23626 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" } I0608 17:24:05.314580 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.314605 23626 net.cpp:86] Creating Layer data I0608 17:24:05.314621 23626 net.cpp:382] data -> data I0608 17:24:05.314646 23626 net.cpp:382] data -> label I0608 17:24:05.314678 23626 net.cpp:124] Setting up data I0608 17:24:05.314693 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.314709 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.314721 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.314733 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.314754 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.314766 23626 net.cpp:408] conv <- data I0608 17:24:05.314783 23626 net.cpp:382] conv -> conv I0608 17:24:05.314838 23626 net.cpp:124] Setting up conv I0608 17:24:05.314851 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.314863 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.314887 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.314904 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.314914 23626 net.cpp:408] ip <- conv I0608 17:24:05.314929 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.315387 23626 net.cpp:124] Setting up ip I0608 17:24:05.315412 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.315425 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.315448 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.315465 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.315475 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.315487 23626 net.cpp:408] loss <- label I0608 17:24:05.315501 23626 net.cpp:382] loss -> loss I0608 17:24:05.315522 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.315553 23626 net.cpp:124] Setting up loss I0608 17:24:05.315564 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.315577 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.315598 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.315608 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.315619 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.315630 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.315642 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.315654 23626 net.cpp:244] This network produces output loss I0608 17:24:05.315668 23626 net.cpp:257] Network initialization done. I0608 17:24:05.316766 23626 hdf5.cpp:33] Datatype class: H5T_FLOAT .I0608 17:24:05.320518 23626 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" } I0608 17:24:05.320739 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.320763 23626 net.cpp:86] Creating Layer data I0608 17:24:05.320781 23626 net.cpp:382] data -> data I0608 17:24:05.320809 23626 net.cpp:382] data -> label I0608 17:24:05.320840 23626 net.cpp:124] Setting up data I0608 17:24:05.320853 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.320868 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.320879 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.320890 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.320912 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.320924 23626 net.cpp:408] conv <- data I0608 17:24:05.320941 23626 net.cpp:382] conv -> conv I0608 17:24:05.321009 23626 net.cpp:124] Setting up conv I0608 17:24:05.321024 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.321038 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.321061 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.321080 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.321090 23626 net.cpp:408] ip <- conv I0608 17:24:05.321105 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.321547 23626 net.cpp:124] Setting up ip I0608 17:24:05.321574 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.321590 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.321612 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.321630 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.321640 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.321652 23626 net.cpp:408] loss <- label I0608 17:24:05.321666 23626 net.cpp:382] loss -> loss I0608 17:24:05.321689 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.321722 23626 net.cpp:124] Setting up loss I0608 17:24:05.321734 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.321745 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.321764 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.321774 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.321830 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.321851 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.321866 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.321877 23626 net.cpp:244] This network produces output loss I0608 17:24:05.321892 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.324223 23626 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I0608 17:24:05.324254 23626 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I0608 17:24:05.324267 23626 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 } } I0608 17:24:05.324426 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.324450 23626 net.cpp:86] Creating Layer data I0608 17:24:05.324465 23626 net.cpp:382] data -> data I0608 17:24:05.324504 23626 net.cpp:124] Setting up data I0608 17:24:05.324518 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.324532 23626 net.cpp:139] Memory required for data: 400 I0608 17:24:05.324542 23626 layer_factory.hpp:77] Creating layer data_data_0_split I0608 17:24:05.324558 23626 net.cpp:86] Creating Layer data_data_0_split I0608 17:24:05.324568 23626 net.cpp:408] data_data_0_split <- data I0608 17:24:05.324581 23626 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0608 17:24:05.324600 23626 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0608 17:24:05.324623 23626 net.cpp:124] Setting up data_data_0_split I0608 17:24:05.324635 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.324647 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.324659 23626 net.cpp:139] Memory required for data: 1200 I0608 17:24:05.324668 23626 layer_factory.hpp:77] Creating layer A I0608 17:24:05.324685 23626 net.cpp:86] Creating Layer A I0608 17:24:05.324697 23626 net.cpp:408] A <- data_data_0_split_0 I0608 17:24:05.324712 23626 net.cpp:382] A -> A I0608 17:24:05.324743 23626 net.cpp:124] Setting up A I0608 17:24:05.324755 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.324767 23626 net.cpp:139] Memory required for data: 1204 I0608 17:24:05.324790 23626 layer_factory.hpp:77] Creating layer AorB I0608 17:24:05.324807 23626 net.cpp:86] Creating Layer AorB I0608 17:24:05.324817 23626 net.cpp:408] AorB <- data_data_0_split_1 I0608 17:24:05.324834 23626 net.cpp:382] AorB -> AorB I0608 17:24:05.324863 23626 net.cpp:124] Setting up AorB I0608 17:24:05.324875 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.324888 23626 net.cpp:139] Memory required for data: 1208 I0608 17:24:05.324908 23626 net.cpp:202] AorB does not need backward computation. I0608 17:24:05.324920 23626 net.cpp:202] A does not need backward computation. I0608 17:24:05.324931 23626 net.cpp:202] data_data_0_split does not need backward computation. I0608 17:24:05.324941 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.324951 23626 net.cpp:244] This network produces output A I0608 17:24:05.324960 23626 net.cpp:244] This network produces output AorB I0608 17:24:05.324977 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.326552 23626 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 } } I0608 17:24:05.326768 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.326793 23626 net.cpp:86] Creating Layer data I0608 17:24:05.326808 23626 net.cpp:382] data -> data I0608 17:24:05.326843 23626 net.cpp:124] Setting up data I0608 17:24:05.326858 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.326871 23626 net.cpp:139] Memory required for data: 400 I0608 17:24:05.326884 23626 layer_factory.hpp:77] Creating layer data_data_0_split I0608 17:24:05.326901 23626 net.cpp:86] Creating Layer data_data_0_split I0608 17:24:05.326911 23626 net.cpp:408] data_data_0_split <- data I0608 17:24:05.326928 23626 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0608 17:24:05.326947 23626 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0608 17:24:05.326967 23626 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0608 17:24:05.326983 23626 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0608 17:24:05.327006 23626 net.cpp:124] Setting up data_data_0_split I0608 17:24:05.327018 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.327030 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.327042 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.327054 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.327065 23626 net.cpp:139] Memory required for data: 2000 I0608 17:24:05.327075 23626 layer_factory.hpp:77] Creating layer A I0608 17:24:05.327090 23626 net.cpp:86] Creating Layer A I0608 17:24:05.327100 23626 net.cpp:408] A <- data_data_0_split_0 I0608 17:24:05.327116 23626 net.cpp:382] A -> A I0608 17:24:05.327147 23626 net.cpp:124] Setting up A I0608 17:24:05.327157 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.327169 23626 net.cpp:139] Memory required for data: 2004 I0608 17:24:05.327193 23626 layer_factory.hpp:77] Creating layer B I0608 17:24:05.327208 23626 net.cpp:86] Creating Layer B I0608 17:24:05.327219 23626 net.cpp:408] B <- data_data_0_split_1 I0608 17:24:05.327234 23626 net.cpp:382] B -> B I0608 17:24:05.327260 23626 net.cpp:124] Setting up B I0608 17:24:05.327270 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.327282 23626 net.cpp:139] Memory required for data: 2008 I0608 17:24:05.327301 23626 layer_factory.hpp:77] Creating layer AorB I0608 17:24:05.327317 23626 net.cpp:86] Creating Layer AorB I0608 17:24:05.327328 23626 net.cpp:408] AorB <- data_data_0_split_2 I0608 17:24:05.327344 23626 net.cpp:382] AorB -> AorB I0608 17:24:05.327373 23626 net.cpp:124] Setting up AorB I0608 17:24:05.327384 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.327397 23626 net.cpp:139] Memory required for data: 2012 I0608 17:24:05.327415 23626 layer_factory.hpp:77] Creating layer AandB I0608 17:24:05.327430 23626 net.cpp:86] Creating Layer AandB I0608 17:24:05.327440 23626 net.cpp:408] AandB <- data_data_0_split_3 I0608 17:24:05.327455 23626 net.cpp:382] AandB -> AandB I0608 17:24:05.327483 23626 net.cpp:124] Setting up AandB I0608 17:24:05.327494 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.327507 23626 net.cpp:139] Memory required for data: 2016 I0608 17:24:05.327522 23626 net.cpp:202] AandB does not need backward computation. I0608 17:24:05.327538 23626 net.cpp:202] AorB does not need backward computation. I0608 17:24:05.327549 23626 net.cpp:202] B does not need backward computation. I0608 17:24:05.327559 23626 net.cpp:202] A does not need backward computation. I0608 17:24:05.327570 23626 net.cpp:202] data_data_0_split does not need backward computation. I0608 17:24:05.327581 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.327591 23626 net.cpp:244] This network produces output A I0608 17:24:05.327600 23626 net.cpp:244] This network produces output AandB I0608 17:24:05.327610 23626 net.cpp:244] This network produces output AorB I0608 17:24:05.327620 23626 net.cpp:244] This network produces output B I0608 17:24:05.327638 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.329067 23626 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I0608 17:24:05.329092 23626 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I0608 17:24:05.329107 23626 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I0608 17:24:05.329118 23626 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 } } I0608 17:24:05.329393 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.329427 23626 net.cpp:86] Creating Layer data I0608 17:24:05.329442 23626 net.cpp:382] data -> data I0608 17:24:05.329480 23626 net.cpp:124] Setting up data I0608 17:24:05.329495 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.329509 23626 net.cpp:139] Memory required for data: 400 I0608 17:24:05.329520 23626 layer_factory.hpp:77] Creating layer data_data_0_split I0608 17:24:05.329536 23626 net.cpp:86] Creating Layer data_data_0_split I0608 17:24:05.329546 23626 net.cpp:408] data_data_0_split <- data I0608 17:24:05.329561 23626 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0608 17:24:05.329581 23626 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0608 17:24:05.329600 23626 net.cpp:124] Setting up data_data_0_split I0608 17:24:05.329612 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.329624 23626 net.cpp:131] Top shape: 1 1 10 10 (100) I0608 17:24:05.329638 23626 net.cpp:139] Memory required for data: 1200 I0608 17:24:05.329648 23626 layer_factory.hpp:77] Creating layer B I0608 17:24:05.329664 23626 net.cpp:86] Creating Layer B I0608 17:24:05.329675 23626 net.cpp:408] B <- data_data_0_split_0 I0608 17:24:05.329692 23626 net.cpp:382] B -> B I0608 17:24:05.329725 23626 net.cpp:124] Setting up B I0608 17:24:05.329737 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.329751 23626 net.cpp:139] Memory required for data: 1204 I0608 17:24:05.329773 23626 layer_factory.hpp:77] Creating layer AorB I0608 17:24:05.329841 23626 net.cpp:86] Creating Layer AorB I0608 17:24:05.329861 23626 net.cpp:408] AorB <- data_data_0_split_1 I0608 17:24:05.329880 23626 net.cpp:382] AorB -> AorB I0608 17:24:05.329916 23626 net.cpp:124] Setting up AorB I0608 17:24:05.329928 23626 net.cpp:131] Top shape: 1 1 (1) I0608 17:24:05.329941 23626 net.cpp:139] Memory required for data: 1208 I0608 17:24:05.329960 23626 net.cpp:202] AorB does not need backward computation. I0608 17:24:05.329972 23626 net.cpp:202] B does not need backward computation. I0608 17:24:05.329982 23626 net.cpp:202] data_data_0_split does not need backward computation. I0608 17:24:05.329993 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.330001 23626 net.cpp:244] This network produces output AorB I0608 17:24:05.330011 23626 net.cpp:244] This network produces output B I0608 17:24:05.330026 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.333406 23626 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" } I0608 17:24:05.333683 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.333710 23626 net.cpp:86] Creating Layer data I0608 17:24:05.333726 23626 net.cpp:382] data -> data I0608 17:24:05.333753 23626 net.cpp:382] data -> label I0608 17:24:05.333848 23626 net.cpp:124] Setting up data I0608 17:24:05.333863 23626 net.cpp:131] Top shape: 50 1 28 28 (39200) I0608 17:24:05.333884 23626 net.cpp:131] Top shape: 50 1 1 1 (50) I0608 17:24:05.333896 23626 net.cpp:139] Memory required for data: 157000 I0608 17:24:05.333907 23626 layer_factory.hpp:77] Creating layer conv1 I0608 17:24:05.333928 23626 net.cpp:86] Creating Layer conv1 I0608 17:24:05.333940 23626 net.cpp:408] conv1 <- data I0608 17:24:05.333956 23626 net.cpp:382] conv1 -> conv1 I0608 17:24:05.334033 23626 net.cpp:124] Setting up conv1 I0608 17:24:05.334048 23626 net.cpp:131] Top shape: 50 20 24 24 (576000) I0608 17:24:05.334061 23626 net.cpp:139] Memory required for data: 2461000 I0608 17:24:05.334085 23626 layer_factory.hpp:77] Creating layer pool1 I0608 17:24:05.334102 23626 net.cpp:86] Creating Layer pool1 I0608 17:24:05.334113 23626 net.cpp:408] pool1 <- conv1 I0608 17:24:05.334126 23626 net.cpp:382] pool1 -> pool1 I0608 17:24:05.334172 23626 net.cpp:124] Setting up pool1 I0608 17:24:05.334184 23626 net.cpp:131] Top shape: 50 20 12 12 (144000) I0608 17:24:05.334198 23626 net.cpp:139] Memory required for data: 3037000 I0608 17:24:05.334208 23626 layer_factory.hpp:77] Creating layer conv2 I0608 17:24:05.334224 23626 net.cpp:86] Creating Layer conv2 I0608 17:24:05.334234 23626 net.cpp:408] conv2 <- pool1 I0608 17:24:05.334250 23626 net.cpp:382] conv2 -> conv2 I0608 17:24:05.334856 23626 net.cpp:124] Setting up conv2 I0608 17:24:05.334874 23626 net.cpp:131] Top shape: 50 50 8 8 (160000) I0608 17:24:05.334890 23626 net.cpp:139] Memory required for data: 3677000 I0608 17:24:05.334913 23626 layer_factory.hpp:77] Creating layer pool2 I0608 17:24:05.334930 23626 net.cpp:86] Creating Layer pool2 I0608 17:24:05.334942 23626 net.cpp:408] pool2 <- conv2 I0608 17:24:05.334957 23626 net.cpp:382] pool2 -> pool2 I0608 17:24:05.334980 23626 net.cpp:124] Setting up pool2 I0608 17:24:05.334990 23626 net.cpp:131] Top shape: 50 50 4 4 (40000) I0608 17:24:05.335003 23626 net.cpp:139] Memory required for data: 3837000 I0608 17:24:05.335013 23626 layer_factory.hpp:77] Creating layer ip1 I0608 17:24:05.335027 23626 net.cpp:86] Creating Layer ip1 I0608 17:24:05.335036 23626 net.cpp:408] ip1 <- pool2 I0608 17:24:05.335050 23626 net.cpp:382] ip1 -> ip1 I0608 17:24:05.345468 23626 net.cpp:124] Setting up ip1 I0608 17:24:05.345510 23626 net.cpp:131] Top shape: 50 500 (25000) I0608 17:24:05.345525 23626 net.cpp:139] Memory required for data: 3937000 I0608 17:24:05.345554 23626 layer_factory.hpp:77] Creating layer relu1 I0608 17:24:05.345577 23626 net.cpp:86] Creating Layer relu1 I0608 17:24:05.345588 23626 net.cpp:408] relu1 <- ip1 I0608 17:24:05.345604 23626 net.cpp:369] relu1 -> ip1 (in-place) I0608 17:24:05.345645 23626 net.cpp:124] Setting up relu1 I0608 17:24:05.345657 23626 net.cpp:131] Top shape: 50 500 (25000) I0608 17:24:05.345669 23626 net.cpp:139] Memory required for data: 4037000 I0608 17:24:05.345679 23626 layer_factory.hpp:77] Creating layer ip2 I0608 17:24:05.345693 23626 net.cpp:86] Creating Layer ip2 I0608 17:24:05.345702 23626 net.cpp:408] ip2 <- ip1 I0608 17:24:05.345717 23626 net.cpp:382] ip2 -> ip2 I0608 17:24:05.345865 23626 net.cpp:124] Setting up ip2 I0608 17:24:05.345877 23626 net.cpp:131] Top shape: 50 10 (500) I0608 17:24:05.345890 23626 net.cpp:139] Memory required for data: 4039000 I0608 17:24:05.345904 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.345922 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.345932 23626 net.cpp:408] loss <- ip2 I0608 17:24:05.345943 23626 net.cpp:408] loss <- label I0608 17:24:05.345957 23626 net.cpp:382] loss -> loss I0608 17:24:05.345978 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.346007 23626 net.cpp:124] Setting up loss I0608 17:24:05.346019 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.346029 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.346051 23626 net.cpp:139] Memory required for data: 4039004 I0608 17:24:05.346061 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.346073 23626 net.cpp:200] ip2 needs backward computation. I0608 17:24:05.346083 23626 net.cpp:200] relu1 needs backward computation. I0608 17:24:05.346092 23626 net.cpp:200] ip1 needs backward computation. I0608 17:24:05.346101 23626 net.cpp:200] pool2 needs backward computation. I0608 17:24:05.346112 23626 net.cpp:200] conv2 needs backward computation. I0608 17:24:05.346122 23626 net.cpp:200] pool1 needs backward computation. I0608 17:24:05.346132 23626 net.cpp:200] conv1 needs backward computation. I0608 17:24:05.346143 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.346153 23626 net.cpp:244] This network produces output loss I0608 17:24:05.346171 23626 net.cpp:257] Network initialization done. I0608 17:24:05.349016 23626 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" } I0608 17:24:05.349386 23626 layer_factory.hpp:77] Creating layer DummyData1 I0608 17:24:05.349412 23626 net.cpp:86] Creating Layer DummyData1 I0608 17:24:05.349427 23626 net.cpp:382] DummyData1 -> DummyData1 I0608 17:24:05.349452 23626 net.cpp:382] DummyData1 -> DummyData2 I0608 17:24:05.349547 23626 net.cpp:124] Setting up DummyData1 I0608 17:24:05.349561 23626 net.cpp:131] Top shape: 50 1 28 28 (39200) I0608 17:24:05.349579 23626 net.cpp:131] Top shape: 50 1 1 1 (50) I0608 17:24:05.349592 23626 net.cpp:139] Memory required for data: 157000 I0608 17:24:05.349603 23626 layer_factory.hpp:77] Creating layer Convolution1 I0608 17:24:05.349622 23626 net.cpp:86] Creating Layer Convolution1 I0608 17:24:05.349632 23626 net.cpp:408] Convolution1 <- DummyData1 I0608 17:24:05.349647 23626 net.cpp:382] Convolution1 -> Convolution1 I0608 17:24:05.349715 23626 net.cpp:124] Setting up Convolution1 I0608 17:24:05.349728 23626 net.cpp:131] Top shape: 50 20 24 24 (576000) I0608 17:24:05.349742 23626 net.cpp:139] Memory required for data: 2461000 I0608 17:24:05.349763 23626 layer_factory.hpp:77] Creating layer Pooling1 I0608 17:24:05.349781 23626 net.cpp:86] Creating Layer Pooling1 I0608 17:24:05.349903 23626 net.cpp:408] Pooling1 <- Convolution1 I0608 17:24:05.349923 23626 net.cpp:382] Pooling1 -> Pooling1 I0608 17:24:05.349951 23626 net.cpp:124] Setting up Pooling1 I0608 17:24:05.349961 23626 net.cpp:131] Top shape: 50 20 12 12 (144000) I0608 17:24:05.349977 23626 net.cpp:139] Memory required for data: 3037000 I0608 17:24:05.349987 23626 layer_factory.hpp:77] Creating layer Convolution2 I0608 17:24:05.350003 23626 net.cpp:86] Creating Layer Convolution2 I0608 17:24:05.350013 23626 net.cpp:408] Convolution2 <- Pooling1 I0608 17:24:05.350028 23626 net.cpp:382] Convolution2 -> Convolution2 I0608 17:24:05.350739 23626 net.cpp:124] Setting up Convolution2 I0608 17:24:05.350762 23626 net.cpp:131] Top shape: 50 50 8 8 (160000) I0608 17:24:05.350780 23626 net.cpp:139] Memory required for data: 3677000 I0608 17:24:05.350800 23626 layer_factory.hpp:77] Creating layer Pooling2 I0608 17:24:05.350821 23626 net.cpp:86] Creating Layer Pooling2 I0608 17:24:05.350833 23626 net.cpp:408] Pooling2 <- Convolution2 I0608 17:24:05.350847 23626 net.cpp:382] Pooling2 -> Pooling2 I0608 17:24:05.350868 23626 net.cpp:124] Setting up Pooling2 I0608 17:24:05.350879 23626 net.cpp:131] Top shape: 50 50 4 4 (40000) I0608 17:24:05.350893 23626 net.cpp:139] Memory required for data: 3837000 I0608 17:24:05.350901 23626 layer_factory.hpp:77] Creating layer InnerProduct1 I0608 17:24:05.350915 23626 net.cpp:86] Creating Layer InnerProduct1 I0608 17:24:05.350925 23626 net.cpp:408] InnerProduct1 <- Pooling2 I0608 17:24:05.350939 23626 net.cpp:382] InnerProduct1 -> InnerProduct1 I0608 17:24:05.361099 23626 net.cpp:124] Setting up InnerProduct1 I0608 17:24:05.361250 23626 net.cpp:131] Top shape: 50 500 (25000) I0608 17:24:05.361280 23626 net.cpp:139] Memory required for data: 3937000 I0608 17:24:05.361313 23626 layer_factory.hpp:77] Creating layer ReLU1 I0608 17:24:05.361333 23626 net.cpp:86] Creating Layer ReLU1 I0608 17:24:05.361346 23626 net.cpp:408] ReLU1 <- InnerProduct1 I0608 17:24:05.361361 23626 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I0608 17:24:05.361383 23626 net.cpp:124] Setting up ReLU1 I0608 17:24:05.361394 23626 net.cpp:131] Top shape: 50 500 (25000) I0608 17:24:05.361407 23626 net.cpp:139] Memory required for data: 4037000 I0608 17:24:05.361416 23626 layer_factory.hpp:77] Creating layer InnerProduct2 I0608 17:24:05.361430 23626 net.cpp:86] Creating Layer InnerProduct2 I0608 17:24:05.361440 23626 net.cpp:408] InnerProduct2 <- InnerProduct1 I0608 17:24:05.361454 23626 net.cpp:382] InnerProduct2 -> InnerProduct2 I0608 17:24:05.361714 23626 net.cpp:124] Setting up InnerProduct2 I0608 17:24:05.361737 23626 net.cpp:131] Top shape: 50 10 (500) I0608 17:24:05.361752 23626 net.cpp:139] Memory required for data: 4039000 I0608 17:24:05.361769 23626 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0608 17:24:05.361881 23626 net.cpp:86] Creating Layer SoftmaxWithLoss1 I0608 17:24:05.361903 23626 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I0608 17:24:05.361918 23626 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I0608 17:24:05.361933 23626 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I0608 17:24:05.361960 23626 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0608 17:24:05.361994 23626 net.cpp:124] Setting up SoftmaxWithLoss1 I0608 17:24:05.362004 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.362015 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.362036 23626 net.cpp:139] Memory required for data: 4039004 I0608 17:24:05.362046 23626 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I0608 17:24:05.362057 23626 net.cpp:200] InnerProduct2 needs backward computation. I0608 17:24:05.362067 23626 net.cpp:200] ReLU1 needs backward computation. I0608 17:24:05.362077 23626 net.cpp:200] InnerProduct1 needs backward computation. I0608 17:24:05.362087 23626 net.cpp:200] Pooling2 needs backward computation. I0608 17:24:05.362097 23626 net.cpp:200] Convolution2 needs backward computation. I0608 17:24:05.362107 23626 net.cpp:200] Pooling1 needs backward computation. I0608 17:24:05.362118 23626 net.cpp:200] Convolution1 needs backward computation. I0608 17:24:05.362134 23626 net.cpp:202] DummyData1 does not need backward computation. I0608 17:24:05.362143 23626 net.cpp:244] This network produces output SoftmaxWithLoss1 I0608 17:24:05.362164 23626 net.cpp:257] Network initialization done. ./build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_net_spec.py:87: DeprecationWarning: Please use assertRaisesRegex instead. with self.assertRaisesRegexp(TypeError, r): .I0608 17:24:05.366322 23626 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" } I0608 17:24:05.366426 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.366448 23626 net.cpp:86] Creating Layer data I0608 17:24:05.366463 23626 net.cpp:382] data -> data I0608 17:24:05.366487 23626 net.cpp:382] data -> data2 I0608 17:24:05.366519 23626 net.cpp:124] Setting up data I0608 17:24:05.366531 23626 net.cpp:131] Top shape: 3 (3) I0608 17:24:05.366545 23626 net.cpp:131] Top shape: 3 (3) I0608 17:24:05.366556 23626 net.cpp:139] Memory required for data: 24 I0608 17:24:05.366566 23626 layer_factory.hpp:77] Creating layer silence_data I0608 17:24:05.366581 23626 net.cpp:86] Creating Layer silence_data I0608 17:24:05.366591 23626 net.cpp:408] silence_data <- data I0608 17:24:05.366603 23626 net.cpp:124] Setting up silence_data I0608 17:24:05.366612 23626 net.cpp:139] Memory required for data: 24 I0608 17:24:05.366621 23626 layer_factory.hpp:77] Creating layer silence_data2 I0608 17:24:05.366633 23626 net.cpp:86] Creating Layer silence_data2 I0608 17:24:05.366642 23626 net.cpp:408] silence_data2 <- data2 I0608 17:24:05.366653 23626 net.cpp:124] Setting up silence_data2 I0608 17:24:05.366662 23626 net.cpp:139] Memory required for data: 24 I0608 17:24:05.366670 23626 net.cpp:202] silence_data2 does not need backward computation. I0608 17:24:05.366680 23626 net.cpp:202] silence_data does not need backward computation. I0608 17:24:05.366689 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.366701 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.367844 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpqp9_kupi I0608 17:24:05.367871 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.367882 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.367915 23626 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" } } I0608 17:24:05.368028 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.368048 23626 net.cpp:86] Creating Layer input I0608 17:24:05.368062 23626 net.cpp:382] input -> data I0608 17:24:05.368088 23626 net.cpp:124] Setting up input I0608 17:24:05.368100 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.368114 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.368124 23626 layer_factory.hpp:77] Creating layer one I0608 17:24:05.368188 23626 net.cpp:86] Creating Layer one I0608 17:24:05.368202 23626 net.cpp:408] one <- data I0608 17:24:05.368216 23626 net.cpp:382] one -> one I0608 17:24:05.368300 23626 net.cpp:124] Setting up one I0608 17:24:05.368314 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.368327 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.368337 23626 layer_factory.hpp:77] Creating layer two I0608 17:24:05.368382 23626 net.cpp:86] Creating Layer two I0608 17:24:05.368396 23626 net.cpp:408] two <- one I0608 17:24:05.368409 23626 net.cpp:382] two -> two I0608 17:24:05.368458 23626 net.cpp:124] Setting up two I0608 17:24:05.368485 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.368499 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.368508 23626 layer_factory.hpp:77] Creating layer three I0608 17:24:05.368551 23626 net.cpp:86] Creating Layer three I0608 17:24:05.368562 23626 net.cpp:408] three <- two I0608 17:24:05.368577 23626 net.cpp:382] three -> three I0608 17:24:05.368775 23626 net.cpp:124] Setting up three I0608 17:24:05.368800 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.368814 23626 net.cpp:139] Memory required for data: 11520 I0608 17:24:05.368826 23626 net.cpp:202] three does not need backward computation. I0608 17:24:05.368836 23626 net.cpp:202] two does not need backward computation. I0608 17:24:05.368847 23626 net.cpp:202] one does not need backward computation. I0608 17:24:05.368857 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.368867 23626 net.cpp:244] This network produces output three I0608 17:24:05.368882 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.379002 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpmbpn1zgf I0608 17:24:05.379041 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.379052 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.379091 23626 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" } } I0608 17:24:05.379211 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.379233 23626 net.cpp:86] Creating Layer input I0608 17:24:05.379246 23626 net.cpp:382] input -> data I0608 17:24:05.379274 23626 net.cpp:124] Setting up input I0608 17:24:05.379287 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.379300 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.379310 23626 layer_factory.hpp:77] Creating layer one I0608 17:24:05.379379 23626 net.cpp:86] Creating Layer one I0608 17:24:05.379393 23626 net.cpp:408] one <- data I0608 17:24:05.379407 23626 net.cpp:382] one -> one I0608 17:24:05.379473 23626 net.cpp:124] Setting up one I0608 17:24:05.379487 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.379499 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.379509 23626 layer_factory.hpp:77] Creating layer two I0608 17:24:05.379555 23626 net.cpp:86] Creating Layer two I0608 17:24:05.379567 23626 net.cpp:408] two <- one I0608 17:24:05.379581 23626 net.cpp:382] two -> two I0608 17:24:05.379631 23626 net.cpp:124] Setting up two I0608 17:24:05.379643 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.379657 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.379665 23626 layer_factory.hpp:77] Creating layer three I0608 17:24:05.379701 23626 net.cpp:86] Creating Layer three I0608 17:24:05.379714 23626 net.cpp:408] three <- two I0608 17:24:05.379727 23626 net.cpp:382] three -> three I0608 17:24:05.379771 23626 net.cpp:124] Setting up three I0608 17:24:05.379783 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.379796 23626 net.cpp:139] Memory required for data: 11520 I0608 17:24:05.379806 23626 net.cpp:202] three does not need backward computation. I0608 17:24:05.379815 23626 net.cpp:202] two does not need backward computation. I0608 17:24:05.379825 23626 net.cpp:202] one does not need backward computation. I0608 17:24:05.379834 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.379843 23626 net.cpp:244] This network produces output three I0608 17:24:05.379858 23626 net.cpp:257] Network initialization done. I0608 17:24:05.380528 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp8tdgn5_0 I0608 17:24:05.380550 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.380561 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.380584 23626 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" } } I0608 17:24:05.380666 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.380686 23626 net.cpp:86] Creating Layer input I0608 17:24:05.380699 23626 net.cpp:382] input -> data I0608 17:24:05.380722 23626 net.cpp:124] Setting up input I0608 17:24:05.380733 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.380746 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.380758 23626 layer_factory.hpp:77] Creating layer layer I0608 17:24:05.380810 23626 net.cpp:86] Creating Layer layer I0608 17:24:05.380823 23626 net.cpp:408] layer <- data I0608 17:24:05.380837 23626 net.cpp:382] layer -> top .I0608 17:24:05.382094 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpyby7o68g I0608 17:24:05.382130 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.382140 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.382174 23626 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" } } I0608 17:24:05.382288 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.382308 23626 net.cpp:86] Creating Layer input I0608 17:24:05.382321 23626 net.cpp:382] input -> data I0608 17:24:05.382349 23626 net.cpp:124] Setting up input I0608 17:24:05.382360 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.382375 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.382385 23626 layer_factory.hpp:77] Creating layer one I0608 17:24:05.382442 23626 net.cpp:86] Creating Layer one I0608 17:24:05.382455 23626 net.cpp:408] one <- data I0608 17:24:05.382469 23626 net.cpp:382] one -> one I0608 17:24:05.382537 23626 net.cpp:124] Setting up one I0608 17:24:05.382550 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.382563 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.382573 23626 layer_factory.hpp:77] Creating layer two I0608 17:24:05.382613 23626 net.cpp:86] Creating Layer two I0608 17:24:05.382625 23626 net.cpp:408] two <- one I0608 17:24:05.382638 23626 net.cpp:382] two -> two I0608 17:24:05.382688 23626 net.cpp:124] Setting up two I0608 17:24:05.382700 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.382714 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.382722 23626 layer_factory.hpp:77] Creating layer three I0608 17:24:05.382759 23626 net.cpp:86] Creating Layer three I0608 17:24:05.382771 23626 net.cpp:408] three <- two I0608 17:24:05.382786 23626 net.cpp:382] three -> three I0608 17:24:05.382830 23626 net.cpp:124] Setting up three I0608 17:24:05.382843 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.382855 23626 net.cpp:139] Memory required for data: 11520 I0608 17:24:05.382864 23626 net.cpp:202] three does not need backward computation. I0608 17:24:05.382875 23626 net.cpp:202] two does not need backward computation. I0608 17:24:05.382884 23626 net.cpp:202] one does not need backward computation. I0608 17:24:05.382894 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.382903 23626 net.cpp:244] This network produces output three I0608 17:24:05.382917 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.393599 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmplo3io6ga I0608 17:24:05.393652 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.393666 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.393774 23626 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" } } I0608 17:24:05.393991 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.394038 23626 net.cpp:86] Creating Layer input I0608 17:24:05.394104 23626 net.cpp:382] input -> data I0608 17:24:05.394142 23626 net.cpp:124] Setting up input I0608 17:24:05.394156 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.394171 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.394183 23626 layer_factory.hpp:77] Creating layer one I0608 17:24:05.394268 23626 net.cpp:86] Creating Layer one I0608 17:24:05.394340 23626 net.cpp:408] one <- data I0608 17:24:05.394397 23626 net.cpp:382] one -> one I0608 17:24:05.394537 23626 net.cpp:124] Setting up one I0608 17:24:05.394562 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.394577 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.394587 23626 layer_factory.hpp:77] Creating layer two I0608 17:24:05.394695 23626 net.cpp:86] Creating Layer two I0608 17:24:05.394719 23626 net.cpp:408] two <- one I0608 17:24:05.394737 23626 net.cpp:382] two -> two I0608 17:24:05.394805 23626 net.cpp:124] Setting up two I0608 17:24:05.394820 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.394835 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.394845 23626 layer_factory.hpp:77] Creating layer three I0608 17:24:05.394982 23626 net.cpp:86] Creating Layer three I0608 17:24:05.395004 23626 net.cpp:408] three <- two I0608 17:24:05.395020 23626 net.cpp:382] three -> three I0608 17:24:05.395079 23626 net.cpp:124] Setting up three I0608 17:24:05.395092 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.395107 23626 net.cpp:139] Memory required for data: 11520 I0608 17:24:05.395115 23626 net.cpp:202] three does not need backward computation. I0608 17:24:05.395125 23626 net.cpp:202] two does not need backward computation. I0608 17:24:05.395186 23626 net.cpp:202] one does not need backward computation. I0608 17:24:05.395207 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.395220 23626 net.cpp:244] This network produces output three I0608 17:24:05.395236 23626 net.cpp:257] Network initialization done. I0608 17:24:05.396176 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpog1wpyon I0608 17:24:05.396212 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.396224 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.396250 23626 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" } } I0608 17:24:05.396339 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.396360 23626 net.cpp:86] Creating Layer input I0608 17:24:05.396373 23626 net.cpp:382] input -> data I0608 17:24:05.396400 23626 net.cpp:124] Setting up input I0608 17:24:05.396412 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.396425 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.396435 23626 layer_factory.hpp:77] Creating layer layer I0608 17:24:05.396494 23626 net.cpp:86] Creating Layer layer I0608 17:24:05.396508 23626 net.cpp:408] layer <- data I0608 17:24:05.396522 23626 net.cpp:382] layer -> top I0608 17:24:05.396648 23626 net.cpp:124] Setting up layer I0608 17:24:05.396663 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.396677 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.396697 23626 net.cpp:202] layer does not need backward computation. I0608 17:24:05.396708 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.396718 23626 net.cpp:244] This network produces output top I0608 17:24:05.396729 23626 net.cpp:257] Network initialization done. I0608 17:24:05.399076 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpog1wpyon I0608 17:24:05.399112 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.399123 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.399147 23626 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" } } I0608 17:24:05.399356 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.399389 23626 net.cpp:86] Creating Layer input I0608 17:24:05.399405 23626 net.cpp:382] input -> data I0608 17:24:05.399474 23626 net.cpp:124] Setting up input I0608 17:24:05.399494 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.399510 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.399520 23626 layer_factory.hpp:77] Creating layer layer I0608 17:24:05.399585 23626 net.cpp:86] Creating Layer layer I0608 17:24:05.399597 23626 net.cpp:408] layer <- data I0608 17:24:05.399611 23626 net.cpp:382] layer -> top I0608 17:24:05.399839 23626 net.cpp:124] Setting up layer I0608 17:24:05.399861 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.399875 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.399895 23626 net.cpp:202] layer does not need backward computation. I0608 17:24:05.399906 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.399916 23626 net.cpp:244] This network produces output top I0608 17:24:05.399930 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.401348 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpexi0nijz I0608 17:24:05.401389 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.401401 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.401437 23626 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" } } I0608 17:24:05.401604 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.401628 23626 net.cpp:86] Creating Layer input I0608 17:24:05.401643 23626 net.cpp:382] input -> data I0608 17:24:05.401671 23626 net.cpp:124] Setting up input I0608 17:24:05.401684 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.401700 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.401710 23626 layer_factory.hpp:77] Creating layer one I0608 17:24:05.401839 23626 net.cpp:86] Creating Layer one I0608 17:24:05.401860 23626 net.cpp:408] one <- data I0608 17:24:05.401880 23626 net.cpp:382] one -> one I0608 17:24:05.402024 23626 net.cpp:124] Setting up one I0608 17:24:05.402091 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.402117 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.402128 23626 layer_factory.hpp:77] Creating layer two I0608 17:24:05.402186 23626 net.cpp:86] Creating Layer two I0608 17:24:05.402200 23626 net.cpp:408] two <- one I0608 17:24:05.402215 23626 net.cpp:382] two -> two I0608 17:24:05.402349 23626 net.cpp:124] Setting up two I0608 17:24:05.402371 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.402386 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.402397 23626 layer_factory.hpp:77] Creating layer three I0608 17:24:05.402492 23626 net.cpp:86] Creating Layer three I0608 17:24:05.402513 23626 net.cpp:408] three <- two I0608 17:24:05.402529 23626 net.cpp:382] three -> three I0608 17:24:05.402588 23626 net.cpp:124] Setting up three I0608 17:24:05.402602 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.402616 23626 net.cpp:139] Memory required for data: 11520 I0608 17:24:05.402667 23626 net.cpp:202] three does not need backward computation. I0608 17:24:05.402701 23626 net.cpp:202] two does not need backward computation. I0608 17:24:05.402755 23626 net.cpp:202] one does not need backward computation. I0608 17:24:05.402777 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.402789 23626 net.cpp:244] This network produces output three I0608 17:24:05.402926 23626 net.cpp:257] Network initialization done. I0608 17:24:05.403789 23626 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" } } I0608 17:24:05.403877 23626 layer_factory.hpp:77] Creating layer layer I0608 17:24:05.403944 23626 net.cpp:86] Creating Layer layer I0608 17:24:05.403960 23626 net.cpp:382] layer -> phase I0608 17:24:05.404018 23626 net.cpp:124] Setting up layer I0608 17:24:05.404032 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.404047 23626 net.cpp:139] Memory required for data: 4 I0608 17:24:05.404058 23626 net.cpp:202] layer does not need backward computation. I0608 17:24:05.404069 23626 net.cpp:244] This network produces output phase I0608 17:24:05.404081 23626 net.cpp:257] Network initialization done. I0608 17:24:05.404707 23626 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" } } I0608 17:24:05.404783 23626 layer_factory.hpp:77] Creating layer layer I0608 17:24:05.404841 23626 net.cpp:86] Creating Layer layer I0608 17:24:05.404858 23626 net.cpp:382] layer -> phase I0608 17:24:05.404980 23626 net.cpp:124] Setting up layer I0608 17:24:05.405005 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.405021 23626 net.cpp:139] Memory required for data: 4 I0608 17:24:05.405035 23626 net.cpp:202] layer does not need backward computation. I0608 17:24:05.405046 23626 net.cpp:244] This network produces output phase I0608 17:24:05.405061 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.406594 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpugwxaml9 I0608 17:24:05.406636 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.406723 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.406769 23626 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" } } I0608 17:24:05.407023 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.407052 23626 net.cpp:86] Creating Layer input I0608 17:24:05.407069 23626 net.cpp:382] input -> data I0608 17:24:05.407104 23626 net.cpp:124] Setting up input I0608 17:24:05.407119 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.407135 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.407147 23626 layer_factory.hpp:77] Creating layer one I0608 17:24:05.407225 23626 net.cpp:86] Creating Layer one I0608 17:24:05.407241 23626 net.cpp:408] one <- data I0608 17:24:05.407353 23626 net.cpp:382] one -> one I0608 17:24:05.407523 23626 net.cpp:124] Setting up one I0608 17:24:05.407550 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.407568 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.407580 23626 layer_factory.hpp:77] Creating layer two I0608 17:24:05.407640 23626 net.cpp:86] Creating Layer two I0608 17:24:05.407713 23626 net.cpp:408] two <- one I0608 17:24:05.407734 23626 net.cpp:382] two -> two I0608 17:24:05.407851 23626 net.cpp:124] Setting up two I0608 17:24:05.407891 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.407907 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.407919 23626 layer_factory.hpp:77] Creating layer three I0608 17:24:05.408057 23626 net.cpp:86] Creating Layer three I0608 17:24:05.408075 23626 net.cpp:408] three <- two I0608 17:24:05.408092 23626 net.cpp:382] three -> three I0608 17:24:05.408212 23626 net.cpp:124] Setting up three I0608 17:24:05.408236 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.408252 23626 net.cpp:139] Memory required for data: 11520 I0608 17:24:05.408264 23626 net.cpp:202] three does not need backward computation. I0608 17:24:05.408277 23626 net.cpp:202] two does not need backward computation. I0608 17:24:05.408288 23626 net.cpp:202] one does not need backward computation. I0608 17:24:05.408341 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.408380 23626 net.cpp:244] This network produces output three I0608 17:24:05.408399 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.410765 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmps7n277x1 I0608 17:24:05.410810 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.410823 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.410867 23626 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" } } I0608 17:24:05.411154 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.411185 23626 net.cpp:86] Creating Layer input I0608 17:24:05.411203 23626 net.cpp:382] input -> data I0608 17:24:05.411238 23626 net.cpp:124] Setting up input I0608 17:24:05.411252 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.411322 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.411348 23626 layer_factory.hpp:77] Creating layer mul10 I0608 17:24:05.411511 23626 net.cpp:86] Creating Layer mul10 I0608 17:24:05.411540 23626 net.cpp:408] mul10 <- data I0608 17:24:05.411614 23626 net.cpp:382] mul10 -> mul10 I0608 17:24:05.411741 23626 net.cpp:124] Setting up mul10 I0608 17:24:05.411759 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.411836 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.411852 23626 layer_factory.hpp:77] Creating layer mul2 I0608 17:24:05.411918 23626 net.cpp:86] Creating Layer mul2 I0608 17:24:05.412027 23626 net.cpp:408] mul2 <- mul10 I0608 17:24:05.412109 23626 net.cpp:382] mul2 -> mul2 I0608 17:24:05.412227 23626 net.cpp:124] Setting up mul2 I0608 17:24:05.412250 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.412271 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.412350 23626 net.cpp:202] mul2 does not need backward computation. I0608 17:24:05.412369 23626 net.cpp:202] mul10 does not need backward computation. I0608 17:24:05.412380 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.412391 23626 net.cpp:244] This network produces output mul2 I0608 17:24:05.412408 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.424633 23626 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9g1rlsqx I0608 17:24:05.424672 23626 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0608 17:24:05.424685 23626 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0608 17:24:05.424724 23626 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" } } I0608 17:24:05.424849 23626 layer_factory.hpp:77] Creating layer input I0608 17:24:05.424873 23626 net.cpp:86] Creating Layer input I0608 17:24:05.424890 23626 net.cpp:382] input -> data I0608 17:24:05.424921 23626 net.cpp:124] Setting up input I0608 17:24:05.424935 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.424952 23626 net.cpp:139] Memory required for data: 2880 I0608 17:24:05.424963 23626 layer_factory.hpp:77] Creating layer mul10 I0608 17:24:05.425034 23626 net.cpp:86] Creating Layer mul10 I0608 17:24:05.425050 23626 net.cpp:408] mul10 <- data I0608 17:24:05.425065 23626 net.cpp:382] mul10 -> mul10 I0608 17:24:05.425148 23626 net.cpp:124] Setting up mul10 I0608 17:24:05.425164 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.425179 23626 net.cpp:139] Memory required for data: 5760 I0608 17:24:05.425190 23626 layer_factory.hpp:77] Creating layer mul2 I0608 17:24:05.425266 23626 net.cpp:86] Creating Layer mul2 I0608 17:24:05.425283 23626 net.cpp:408] mul2 <- mul10 I0608 17:24:05.425300 23626 net.cpp:382] mul2 -> mul2 I0608 17:24:05.425374 23626 net.cpp:124] Setting up mul2 I0608 17:24:05.425398 23626 net.cpp:131] Top shape: 10 9 8 (720) I0608 17:24:05.425415 23626 net.cpp:139] Memory required for data: 8640 I0608 17:24:05.425426 23626 net.cpp:202] mul2 does not need backward computation. I0608 17:24:05.425438 23626 net.cpp:202] mul10 does not need backward computation. I0608 17:24:05.425449 23626 net.cpp:202] input does not need backward computation. I0608 17:24:05.425460 23626 net.cpp:244] This network produces output mul2 I0608 17:24:05.425477 23626 net.cpp:257] Network initialization done. .I0608 17:24:05.436223 23626 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/tmpuvugj57i" snapshot_after_train: false I0608 17:24:05.436331 23626 solver.cpp:102] Creating training net from net file: /tmp/tmpuvugj57i I0608 17:24:05.436625 23626 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" } I0608 17:24:05.436810 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.436837 23626 net.cpp:86] Creating Layer data I0608 17:24:05.436856 23626 net.cpp:382] data -> data I0608 17:24:05.436879 23626 net.cpp:382] data -> label I0608 17:24:05.436911 23626 net.cpp:124] Setting up data I0608 17:24:05.436924 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.436940 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.436954 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.436964 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.436985 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.436996 23626 net.cpp:408] conv <- data I0608 17:24:05.437014 23626 net.cpp:382] conv -> conv I0608 17:24:05.437074 23626 net.cpp:124] Setting up conv I0608 17:24:05.437088 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.437101 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.437127 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.437145 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.437156 23626 net.cpp:408] ip <- conv I0608 17:24:05.437172 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.437537 23626 net.cpp:124] Setting up ip I0608 17:24:05.437566 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.437580 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.437604 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.437623 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.437634 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.437646 23626 net.cpp:408] loss <- label I0608 17:24:05.437661 23626 net.cpp:382] loss -> loss I0608 17:24:05.437682 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.437716 23626 net.cpp:124] Setting up loss I0608 17:24:05.437729 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.437741 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.437760 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.437770 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.437783 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.437794 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.437805 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.437816 23626 net.cpp:244] This network produces output loss I0608 17:24:05.437831 23626 net.cpp:257] Network initialization done. I0608 17:24:05.438136 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpuvugj57i I0608 17:24:05.438179 23626 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" } I0608 17:24:05.438356 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.438380 23626 net.cpp:86] Creating Layer data I0608 17:24:05.438395 23626 net.cpp:382] data -> data I0608 17:24:05.438417 23626 net.cpp:382] data -> label I0608 17:24:05.438444 23626 net.cpp:124] Setting up data I0608 17:24:05.438457 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.438470 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.438483 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.438494 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.438514 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.438525 23626 net.cpp:408] conv <- data I0608 17:24:05.438542 23626 net.cpp:382] conv -> conv I0608 17:24:05.438594 23626 net.cpp:124] Setting up conv I0608 17:24:05.438607 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.438621 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.438644 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.438661 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.438673 23626 net.cpp:408] ip <- conv I0608 17:24:05.438688 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.439019 23626 net.cpp:124] Setting up ip I0608 17:24:05.439035 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.439049 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.439069 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.439085 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.439096 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.439108 23626 net.cpp:408] loss <- label I0608 17:24:05.439126 23626 net.cpp:382] loss -> loss I0608 17:24:05.439146 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.439175 23626 net.cpp:124] Setting up loss I0608 17:24:05.439188 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.439199 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.439215 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.439225 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.439237 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.439249 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.439260 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.439270 23626 net.cpp:244] This network produces output loss I0608 17:24:05.439286 23626 net.cpp:257] Network initialization done. I0608 17:24:05.439335 23626 solver.cpp:57] Solver scaffolding done. I0608 17:24:05.439508 23626 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/tmpuvugj57i" snapshot_after_train: false I0608 17:24:05.439574 23626 solver.cpp:102] Creating training net from net file: /tmp/tmpuvugj57i I0608 17:24:05.439831 23626 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" } I0608 17:24:05.439988 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.440016 23626 net.cpp:86] Creating Layer data I0608 17:24:05.440032 23626 net.cpp:382] data -> data I0608 17:24:05.440053 23626 net.cpp:382] data -> label I0608 17:24:05.440079 23626 net.cpp:124] Setting up data I0608 17:24:05.440091 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.440106 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.440119 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.440130 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.440150 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.440161 23626 net.cpp:408] conv <- data I0608 17:24:05.440177 23626 net.cpp:382] conv -> conv I0608 17:24:05.440228 23626 net.cpp:124] Setting up conv I0608 17:24:05.440241 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.440254 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.440276 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.440310 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.440322 23626 net.cpp:408] ip <- conv I0608 17:24:05.440338 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.440887 23626 net.cpp:124] Setting up ip I0608 17:24:05.440915 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.440932 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.440954 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.440973 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.440984 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.440996 23626 net.cpp:408] loss <- label I0608 17:24:05.441010 23626 net.cpp:382] loss -> loss I0608 17:24:05.441035 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.441064 23626 net.cpp:124] Setting up loss I0608 17:24:05.441076 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.441089 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.441107 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.441118 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.441130 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.441141 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.441154 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.441164 23626 net.cpp:244] This network produces output loss I0608 17:24:05.441179 23626 net.cpp:257] Network initialization done. I0608 17:24:05.441573 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpuvugj57i I0608 17:24:05.441634 23626 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" } I0608 17:24:05.441826 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.441856 23626 net.cpp:86] Creating Layer data I0608 17:24:05.441874 23626 net.cpp:382] data -> data I0608 17:24:05.441895 23626 net.cpp:382] data -> label I0608 17:24:05.441923 23626 net.cpp:124] Setting up data I0608 17:24:05.441936 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.441951 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.441963 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.441974 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.441994 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.442006 23626 net.cpp:408] conv <- data I0608 17:24:05.442023 23626 net.cpp:382] conv -> conv I0608 17:24:05.442075 23626 net.cpp:124] Setting up conv I0608 17:24:05.442088 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.442102 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.442126 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.442142 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.442153 23626 net.cpp:408] ip <- conv I0608 17:24:05.442167 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.442502 23626 net.cpp:124] Setting up ip I0608 17:24:05.442517 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.442531 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.442550 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.442566 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.442577 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.442589 23626 net.cpp:408] loss <- label I0608 17:24:05.442602 23626 net.cpp:382] loss -> loss I0608 17:24:05.442621 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.442651 23626 net.cpp:124] Setting up loss I0608 17:24:05.442663 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.442675 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.442692 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.442703 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.442714 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.442725 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.442737 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.442747 23626 net.cpp:244] This network produces output loss I0608 17:24:05.442764 23626 net.cpp:257] Network initialization done. I0608 17:24:05.442811 23626 solver.cpp:57] Solver scaffolding done. I0608 17:24:05.443944 23626 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I0608 17:24:05.445727 23626 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/tmp2zrt0093" snapshot_after_train: false I0608 17:24:05.445824 23626 solver.cpp:102] Creating training net from net file: /tmp/tmp2zrt0093 I0608 17:24:05.446112 23626 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" } I0608 17:24:05.446295 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.446321 23626 net.cpp:86] Creating Layer data I0608 17:24:05.446338 23626 net.cpp:382] data -> data I0608 17:24:05.446362 23626 net.cpp:382] data -> label I0608 17:24:05.446394 23626 net.cpp:124] Setting up data I0608 17:24:05.446408 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.446422 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.446435 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.446446 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.446468 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.446480 23626 net.cpp:408] conv <- data I0608 17:24:05.446497 23626 net.cpp:382] conv -> conv I0608 17:24:05.446558 23626 net.cpp:124] Setting up conv I0608 17:24:05.446573 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.446585 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.446610 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.446628 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.446640 23626 net.cpp:408] ip <- conv I0608 17:24:05.446655 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.446990 23626 net.cpp:124] Setting up ip I0608 17:24:05.447003 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.447017 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.447038 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.447055 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.447067 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.447078 23626 net.cpp:408] loss <- label I0608 17:24:05.447093 23626 net.cpp:382] loss -> loss I0608 17:24:05.447111 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.447145 23626 net.cpp:124] Setting up loss I0608 17:24:05.447157 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.447170 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.447187 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.447198 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.447211 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.447221 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.447232 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.447243 23626 net.cpp:244] This network produces output loss I0608 17:24:05.447258 23626 net.cpp:257] Network initialization done. I0608 17:24:05.447544 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp2zrt0093 I0608 17:24:05.447587 23626 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" } I0608 17:24:05.447760 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.447782 23626 net.cpp:86] Creating Layer data I0608 17:24:05.447799 23626 net.cpp:382] data -> data I0608 17:24:05.447820 23626 net.cpp:382] data -> label I0608 17:24:05.447847 23626 net.cpp:124] Setting up data I0608 17:24:05.447860 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.447873 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.447887 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.447897 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.448030 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.448055 23626 net.cpp:408] conv <- data I0608 17:24:05.448076 23626 net.cpp:382] conv -> conv I0608 17:24:05.448137 23626 net.cpp:124] Setting up conv I0608 17:24:05.448151 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.448166 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.448191 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.448210 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.448221 23626 net.cpp:408] ip <- conv I0608 17:24:05.448235 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.448575 23626 net.cpp:124] Setting up ip I0608 17:24:05.448590 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.448604 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.448626 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.448643 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.448654 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.448666 23626 net.cpp:408] loss <- label I0608 17:24:05.448679 23626 net.cpp:382] loss -> loss I0608 17:24:05.448698 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.448729 23626 net.cpp:124] Setting up loss I0608 17:24:05.448740 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.448752 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.448770 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.448781 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.448792 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.448803 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.448815 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.448825 23626 net.cpp:244] This network produces output loss I0608 17:24:05.448840 23626 net.cpp:257] Network initialization done. I0608 17:24:05.448895 23626 solver.cpp:57] Solver scaffolding done. I0608 17:24:05.449066 23626 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/tmp2zrt0093" snapshot_after_train: false I0608 17:24:05.449136 23626 solver.cpp:102] Creating training net from net file: /tmp/tmp2zrt0093 I0608 17:24:05.449445 23626 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" } I0608 17:24:05.449630 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.449656 23626 net.cpp:86] Creating Layer data I0608 17:24:05.449672 23626 net.cpp:382] data -> data I0608 17:24:05.449694 23626 net.cpp:382] data -> label I0608 17:24:05.449723 23626 net.cpp:124] Setting up data I0608 17:24:05.449735 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.449749 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.449762 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.449774 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.449795 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.449805 23626 net.cpp:408] conv <- data I0608 17:24:05.449822 23626 net.cpp:382] conv -> conv I0608 17:24:05.449873 23626 net.cpp:124] Setting up conv I0608 17:24:05.449887 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.449900 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.449924 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.449942 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.449952 23626 net.cpp:408] ip <- conv I0608 17:24:05.449967 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.450300 23626 net.cpp:124] Setting up ip I0608 17:24:05.450314 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.450328 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.450348 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.450364 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.450376 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.450387 23626 net.cpp:408] loss <- label I0608 17:24:05.450402 23626 net.cpp:382] loss -> loss I0608 17:24:05.450420 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.450451 23626 net.cpp:124] Setting up loss I0608 17:24:05.450464 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.450475 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.450491 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.450501 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.450515 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.450525 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.450536 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.450546 23626 net.cpp:244] This network produces output loss I0608 17:24:05.450562 23626 net.cpp:257] Network initialization done. I0608 17:24:05.450841 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp2zrt0093 I0608 17:24:05.450886 23626 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" } I0608 17:24:05.451056 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.451077 23626 net.cpp:86] Creating Layer data I0608 17:24:05.451092 23626 net.cpp:382] data -> data I0608 17:24:05.451113 23626 net.cpp:382] data -> label I0608 17:24:05.451140 23626 net.cpp:124] Setting up data I0608 17:24:05.451153 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.451167 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.451179 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.451189 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.451210 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.451220 23626 net.cpp:408] conv <- data I0608 17:24:05.451237 23626 net.cpp:382] conv -> conv I0608 17:24:05.451289 23626 net.cpp:124] Setting up conv I0608 17:24:05.451301 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.451315 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.451339 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.451354 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.451365 23626 net.cpp:408] ip <- conv I0608 17:24:05.451380 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.451714 23626 net.cpp:124] Setting up ip I0608 17:24:05.451727 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.451741 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.451761 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.451777 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.451788 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.451799 23626 net.cpp:408] loss <- label I0608 17:24:05.451813 23626 net.cpp:382] loss -> loss I0608 17:24:05.451831 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.451861 23626 net.cpp:124] Setting up loss I0608 17:24:05.451872 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.451884 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.451900 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.451910 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.451921 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.451932 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.451944 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.451954 23626 net.cpp:244] This network produces output loss I0608 17:24:05.451968 23626 net.cpp:257] Network initialization done. I0608 17:24:05.452015 23626 solver.cpp:57] Solver scaffolding done. .I0608 17:24:05.456744 23626 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/tmp68e6j_rs" snapshot_after_train: false I0608 17:24:05.456846 23626 solver.cpp:102] Creating training net from net file: /tmp/tmp68e6j_rs I0608 17:24:05.457137 23626 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" } I0608 17:24:05.457361 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.457396 23626 net.cpp:86] Creating Layer data I0608 17:24:05.457417 23626 net.cpp:382] data -> data I0608 17:24:05.457444 23626 net.cpp:382] data -> label I0608 17:24:05.457479 23626 net.cpp:124] Setting up data I0608 17:24:05.457497 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.457513 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.457527 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.457538 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.457564 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.457581 23626 net.cpp:408] conv <- data I0608 17:24:05.457600 23626 net.cpp:382] conv -> conv I0608 17:24:05.457664 23626 net.cpp:124] Setting up conv I0608 17:24:05.457682 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.457697 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.457723 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.457746 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.457758 23626 net.cpp:408] ip <- conv I0608 17:24:05.457774 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.458118 23626 net.cpp:124] Setting up ip I0608 17:24:05.458139 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.458154 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.458176 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.458191 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.458202 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.458214 23626 net.cpp:408] loss <- label I0608 17:24:05.458228 23626 net.cpp:382] loss -> loss I0608 17:24:05.458248 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.458282 23626 net.cpp:124] Setting up loss I0608 17:24:05.458294 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.458307 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.458324 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.458334 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.458346 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.458357 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.458369 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.458379 23626 net.cpp:244] This network produces output loss I0608 17:24:05.458395 23626 net.cpp:257] Network initialization done. I0608 17:24:05.458693 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp68e6j_rs I0608 17:24:05.458734 23626 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" } I0608 17:24:05.458909 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.458930 23626 net.cpp:86] Creating Layer data I0608 17:24:05.458946 23626 net.cpp:382] data -> data I0608 17:24:05.458968 23626 net.cpp:382] data -> label I0608 17:24:05.458995 23626 net.cpp:124] Setting up data I0608 17:24:05.459008 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.459023 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.459035 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.459046 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.459067 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.459077 23626 net.cpp:408] conv <- data I0608 17:24:05.459093 23626 net.cpp:382] conv -> conv I0608 17:24:05.459146 23626 net.cpp:124] Setting up conv I0608 17:24:05.459159 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.459172 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.459195 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.459213 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.459223 23626 net.cpp:408] ip <- conv I0608 17:24:05.459237 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.459571 23626 net.cpp:124] Setting up ip I0608 17:24:05.459585 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.459599 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.459620 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.459635 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.459646 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.459657 23626 net.cpp:408] loss <- label I0608 17:24:05.459676 23626 net.cpp:382] loss -> loss I0608 17:24:05.459695 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.459724 23626 net.cpp:124] Setting up loss I0608 17:24:05.459736 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.459748 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.459764 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.459774 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.459786 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.459797 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.459810 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.459820 23626 net.cpp:244] This network produces output loss I0608 17:24:05.459834 23626 net.cpp:257] Network initialization done. I0608 17:24:05.459885 23626 solver.cpp:57] Solver scaffolding done. I0608 17:24:05.460048 23626 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/tmp68e6j_rs" snapshot_after_train: false I0608 17:24:05.460114 23626 solver.cpp:102] Creating training net from net file: /tmp/tmp68e6j_rs I0608 17:24:05.460371 23626 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" } I0608 17:24:05.460533 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.460556 23626 net.cpp:86] Creating Layer data I0608 17:24:05.460572 23626 net.cpp:382] data -> data I0608 17:24:05.460593 23626 net.cpp:382] data -> label I0608 17:24:05.460621 23626 net.cpp:124] Setting up data I0608 17:24:05.460634 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.460649 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.460661 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.460672 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.460693 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.460705 23626 net.cpp:408] conv <- data I0608 17:24:05.460721 23626 net.cpp:382] conv -> conv I0608 17:24:05.460772 23626 net.cpp:124] Setting up conv I0608 17:24:05.460784 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.460798 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.460819 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.460835 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.460846 23626 net.cpp:408] ip <- conv I0608 17:24:05.460862 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.461194 23626 net.cpp:124] Setting up ip I0608 17:24:05.461207 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.461221 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.461269 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.461290 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.461303 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.461315 23626 net.cpp:408] loss <- label I0608 17:24:05.461330 23626 net.cpp:382] loss -> loss I0608 17:24:05.461354 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.461385 23626 net.cpp:124] Setting up loss I0608 17:24:05.461405 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.461419 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.461437 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.461450 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.461464 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.461477 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.461488 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.461499 23626 net.cpp:244] This network produces output loss I0608 17:24:05.461514 23626 net.cpp:257] Network initialization done. I0608 17:24:05.461813 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp68e6j_rs I0608 17:24:05.461870 23626 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" } I0608 17:24:05.462039 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.462061 23626 net.cpp:86] Creating Layer data I0608 17:24:05.462077 23626 net.cpp:382] data -> data I0608 17:24:05.462098 23626 net.cpp:382] data -> label I0608 17:24:05.462126 23626 net.cpp:124] Setting up data I0608 17:24:05.462139 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.462154 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.462167 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.462178 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.462198 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.462209 23626 net.cpp:408] conv <- data I0608 17:24:05.462225 23626 net.cpp:382] conv -> conv I0608 17:24:05.462278 23626 net.cpp:124] Setting up conv I0608 17:24:05.462291 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.462306 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.462327 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.462343 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.462354 23626 net.cpp:408] ip <- conv I0608 17:24:05.462369 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.462713 23626 net.cpp:124] Setting up ip I0608 17:24:05.462728 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.462741 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.462761 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.462777 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.462788 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.462800 23626 net.cpp:408] loss <- label I0608 17:24:05.462812 23626 net.cpp:382] loss -> loss I0608 17:24:05.462831 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.462862 23626 net.cpp:124] Setting up loss I0608 17:24:05.462873 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.462885 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.462901 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.462913 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.462924 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.462934 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.462946 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.462956 23626 net.cpp:244] This network produces output loss I0608 17:24:05.462971 23626 net.cpp:257] Network initialization done. I0608 17:24:05.463019 23626 solver.cpp:57] Solver scaffolding done. I0608 17:24:05.464165 23626 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I0608 17:24:05.464704 23626 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I0608 17:24:05.466516 23626 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/tmp7n51ouri" snapshot_after_train: false I0608 17:24:05.466703 23626 solver.cpp:102] Creating training net from net file: /tmp/tmp7n51ouri I0608 17:24:05.467005 23626 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" } I0608 17:24:05.467195 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.467221 23626 net.cpp:86] Creating Layer data I0608 17:24:05.467240 23626 net.cpp:382] data -> data I0608 17:24:05.467267 23626 net.cpp:382] data -> label I0608 17:24:05.467298 23626 net.cpp:124] Setting up data I0608 17:24:05.467310 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.467326 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.467339 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.467350 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.467371 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.467383 23626 net.cpp:408] conv <- data I0608 17:24:05.467401 23626 net.cpp:382] conv -> conv I0608 17:24:05.467461 23626 net.cpp:124] Setting up conv I0608 17:24:05.467475 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.467489 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.467515 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.467532 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.467543 23626 net.cpp:408] ip <- conv I0608 17:24:05.467559 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.467897 23626 net.cpp:124] Setting up ip I0608 17:24:05.467912 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.467927 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.467947 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.467964 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.467975 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.467986 23626 net.cpp:408] loss <- label I0608 17:24:05.468000 23626 net.cpp:382] loss -> loss I0608 17:24:05.468020 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.468055 23626 net.cpp:124] Setting up loss I0608 17:24:05.468066 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.468078 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.468096 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.468106 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.468119 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.468130 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.468142 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.468152 23626 net.cpp:244] This network produces output loss I0608 17:24:05.468168 23626 net.cpp:257] Network initialization done. I0608 17:24:05.468453 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp7n51ouri I0608 17:24:05.468492 23626 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" } I0608 17:24:05.468662 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.468683 23626 net.cpp:86] Creating Layer data I0608 17:24:05.468700 23626 net.cpp:382] data -> data I0608 17:24:05.468721 23626 net.cpp:382] data -> label I0608 17:24:05.468750 23626 net.cpp:124] Setting up data I0608 17:24:05.468760 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.468775 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.468787 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.468797 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.468818 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.468829 23626 net.cpp:408] conv <- data I0608 17:24:05.468845 23626 net.cpp:382] conv -> conv I0608 17:24:05.468899 23626 net.cpp:124] Setting up conv I0608 17:24:05.468912 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.468925 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.468947 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.468964 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.468976 23626 net.cpp:408] ip <- conv I0608 17:24:05.468991 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.469449 23626 net.cpp:124] Setting up ip I0608 17:24:05.469475 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.469492 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.469518 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.469537 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.469549 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.469561 23626 net.cpp:408] loss <- label I0608 17:24:05.469575 23626 net.cpp:382] loss -> loss I0608 17:24:05.469597 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.469628 23626 net.cpp:124] Setting up loss I0608 17:24:05.469640 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.469652 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.469671 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.469681 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.469692 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.469703 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.469714 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.469724 23626 net.cpp:244] This network produces output loss I0608 17:24:05.469740 23626 net.cpp:257] Network initialization done. I0608 17:24:05.469795 23626 solver.cpp:57] Solver scaffolding done. I0608 17:24:05.469969 23626 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/tmp7n51ouri" snapshot_after_train: false I0608 17:24:05.470036 23626 solver.cpp:102] Creating training net from net file: /tmp/tmp7n51ouri I0608 17:24:05.470302 23626 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" } I0608 17:24:05.470468 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.470491 23626 net.cpp:86] Creating Layer data I0608 17:24:05.470508 23626 net.cpp:382] data -> data I0608 17:24:05.470530 23626 net.cpp:382] data -> label I0608 17:24:05.470557 23626 net.cpp:124] Setting up data I0608 17:24:05.470569 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.470584 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.470597 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.470608 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.470629 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.470640 23626 net.cpp:408] conv <- data I0608 17:24:05.470656 23626 net.cpp:382] conv -> conv I0608 17:24:05.470708 23626 net.cpp:124] Setting up conv I0608 17:24:05.470721 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.470734 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.470758 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.470775 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.470786 23626 net.cpp:408] ip <- conv I0608 17:24:05.470800 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.471138 23626 net.cpp:124] Setting up ip I0608 17:24:05.471158 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.471171 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.471192 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.471208 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.471220 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.471230 23626 net.cpp:408] loss <- label I0608 17:24:05.471246 23626 net.cpp:382] loss -> loss I0608 17:24:05.471264 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.471294 23626 net.cpp:124] Setting up loss I0608 17:24:05.471305 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.471318 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.471334 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.471345 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.471357 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.471369 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.471379 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.471390 23626 net.cpp:244] This network produces output loss I0608 17:24:05.471405 23626 net.cpp:257] Network initialization done. I0608 17:24:05.471679 23626 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp7n51ouri I0608 17:24:05.471724 23626 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" } I0608 17:24:05.471886 23626 layer_factory.hpp:77] Creating layer data I0608 17:24:05.471909 23626 net.cpp:86] Creating Layer data I0608 17:24:05.472050 23626 net.cpp:382] data -> data I0608 17:24:05.472075 23626 net.cpp:382] data -> label I0608 17:24:05.472105 23626 net.cpp:124] Setting up data I0608 17:24:05.472116 23626 net.cpp:131] Top shape: 5 2 3 4 (120) I0608 17:24:05.472131 23626 net.cpp:131] Top shape: 5 1 1 1 (5) I0608 17:24:05.472144 23626 net.cpp:139] Memory required for data: 500 I0608 17:24:05.472155 23626 layer_factory.hpp:77] Creating layer conv I0608 17:24:05.472177 23626 net.cpp:86] Creating Layer conv I0608 17:24:05.472188 23626 net.cpp:408] conv <- data I0608 17:24:05.472205 23626 net.cpp:382] conv -> conv I0608 17:24:05.472259 23626 net.cpp:124] Setting up conv I0608 17:24:05.472272 23626 net.cpp:131] Top shape: 5 11 8 9 (3960) I0608 17:24:05.472286 23626 net.cpp:139] Memory required for data: 16340 I0608 17:24:05.472309 23626 layer_factory.hpp:77] Creating layer ip I0608 17:24:05.472326 23626 net.cpp:86] Creating Layer ip I0608 17:24:05.472337 23626 net.cpp:408] ip <- conv I0608 17:24:05.472353 23626 net.cpp:382] ip -> ip_blob I0608 17:24:05.472685 23626 net.cpp:124] Setting up ip I0608 17:24:05.472699 23626 net.cpp:131] Top shape: 5 13 (65) I0608 17:24:05.472714 23626 net.cpp:139] Memory required for data: 16600 I0608 17:24:05.472734 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.472750 23626 net.cpp:86] Creating Layer loss I0608 17:24:05.472761 23626 net.cpp:408] loss <- ip_blob I0608 17:24:05.472772 23626 net.cpp:408] loss <- label I0608 17:24:05.472786 23626 net.cpp:382] loss -> loss I0608 17:24:05.472805 23626 layer_factory.hpp:77] Creating layer loss I0608 17:24:05.472834 23626 net.cpp:124] Setting up loss I0608 17:24:05.472846 23626 net.cpp:131] Top shape: (1) I0608 17:24:05.472858 23626 net.cpp:134] with loss weight 1 I0608 17:24:05.472874 23626 net.cpp:139] Memory required for data: 16604 I0608 17:24:05.472884 23626 net.cpp:200] loss needs backward computation. I0608 17:24:05.472896 23626 net.cpp:200] ip needs backward computation. I0608 17:24:05.472908 23626 net.cpp:200] conv needs backward computation. I0608 17:24:05.472920 23626 net.cpp:202] data does not need backward computation. I0608 17:24:05.472930 23626 net.cpp:244] This network produces output loss I0608 17:24:05.472945 23626 net.cpp:257] Network initialization done. I0608 17:24:05.472993 23626 solver.cpp:57] Solver scaffolding done. I0608 17:24:05.474095 23626 solver.cpp:289] Solving testnet I0608 17:24:05.474129 23626 solver.cpp:290] Learning Rate Policy: inv I0608 17:24:05.474164 23626 solver.cpp:347] Iteration 0, Testing net (#0) I0608 17:24:05.477087 23626 solver.cpp:414] Test net output #0: loss = 85.7384 (* 1 = 85.7384 loss) I0608 17:24:05.478019 23626 solver.cpp:239] Iteration 0 (0 iter/s, 0.003s/100 iters), loss = 87.3365 I0608 17:24:05.478073 23626 solver.cpp:258] Train net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I0608 17:24:05.478093 23626 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I0608 17:24:05.486274 23626 solver.cpp:347] Iteration 10, Testing net (#0) I0608 17:24:05.489337 23626 solver.cpp:414] Test net output #0: loss = 72.8308 (* 1 = 72.8308 loss) I0608 17:24:05.498330 23626 solver.cpp:347] Iteration 20, Testing net (#0) I0608 17:24:05.501523 23626 solver.cpp:414] Test net output #0: loss = 72.9176 (* 1 = 72.9176 loss) I0608 17:24:05.510907 23626 solver.cpp:347] Iteration 30, Testing net (#0) I0608 17:24:05.513761 23626 solver.cpp:414] Test net output #0: loss = 83.1434 (* 1 = 83.1434 loss) I0608 17:24:05.522440 23626 solver.cpp:347] Iteration 40, Testing net (#0) I0608 17:24:05.525408 23626 solver.cpp:414] Test net output #0: loss = 72.0391 (* 1 = 72.0391 loss) I0608 17:24:05.534034 23626 solver.cpp:347] Iteration 50, Testing net (#0) I0608 17:24:05.536933 23626 solver.cpp:414] Test net output #0: loss = 75.547 (* 1 = 75.547 loss) I0608 17:24:05.545531 23626 solver.cpp:347] Iteration 60, Testing net (#0) I0608 17:24:05.548420 23626 solver.cpp:414] Test net output #0: loss = 77.7712 (* 1 = 77.7712 loss) I0608 17:24:05.556970 23626 solver.cpp:347] Iteration 70, Testing net (#0) I0608 17:24:05.559828 23626 solver.cpp:414] Test net output #0: loss = 73.8467 (* 1 = 73.8467 loss) I0608 17:24:05.568401 23626 solver.cpp:347] Iteration 80, Testing net (#0) I0608 17:24:05.571233 23626 solver.cpp:414] Test net output #0: loss = 77.0367 (* 1 = 77.0367 loss) I0608 17:24:05.579609 23626 solver.cpp:347] Iteration 90, Testing net (#0) I0608 17:24:05.582381 23626 solver.cpp:414] Test net output #0: loss = 72.9504 (* 1 = 72.9504 loss) I0608 17:24:05.591037 23626 solver.cpp:327] Iteration 100, loss = 55.1006 I0608 17:24:05.591082 23626 solver.cpp:347] Iteration 100, Testing net (#0) I0608 17:24:05.593823 23626 solver.cpp:414] Test net output #0: loss = 76.2484 (* 1 = 76.2484 loss) I0608 17:24:05.593858 23626 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 42.084s OK make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pytest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' create-stamp debian/debhelper-build-stamp fakeroot debian/rules binary dh binary \ --buildsystem=cmake \ --with python3,bash-completion dh_testroot -O--buildsystem=cmake dh_prep -O--buildsystem=cmake debian/rules override_dh_auto_install-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install cd caffe_cpu_build && make -j3 install DESTDIR=/build/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start 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src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 81%] Built target caffe make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/depend make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'tools/CMakeFiles/caffe.bin.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'tools/CMakeFiles/upgrade_solver_proto_text.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 82%] Built target caffe.bin make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'tools/CMakeFiles/compute_image_mean.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake --color= [ 84%] Built target upgrade_solver_proto_text make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'tools/CMakeFiles/convert_imageset.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 85%] Built target compute_image_mean make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/build [ 87%] Built target convert_imageset make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'tools/CMakeFiles/extract_features.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools 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Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/build make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'tools/CMakeFiles/upgrade_net_proto_text.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'tools/CMakeFiles/upgrade_net_proto_binary.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'examples/CMakeFiles/classification.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 90%] Built target upgrade_net_proto_text [ 92%] Built target upgrade_net_proto_binary make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= [ 93%] Built target classification make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/build make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'examples/CMakeFiles/convert_mnist_data.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'examples/CMakeFiles/convert_cifar_data.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'examples/CMakeFiles/convert_mnist_siamese_data.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 95%] Built target convert_mnist_data make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend [ 96%] Built target convert_cifar_data make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= [ 98%] Built target convert_mnist_siamese_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make -f CMakeFiles/Makefile2 preinstall make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[3]: Nothing to be done for 'preinstall'. make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Install the project... /usr/bin/cmake -P cmake_install.cmake -- Install configuration: "Release" -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeConfig.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/syncedmem.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer_factory.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver_factory.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_lmdb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/benchmark.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/signal_handler.h -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/math_functions.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_leveldb.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/rng.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/insert_splits.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/im2col.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/device_alternate.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/mkl_alternate.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/hdf5.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/upgrade_proto.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/io.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/format.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/gpu_util.cuh -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/blocking_queue.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/cudnn.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/nccl.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/blob.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/common.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/data_transformer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/filler.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/internal_thread.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_caffe_main.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_gradient_check_util.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/parallel.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/tanh_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_sigmoid_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/reduction_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/inner_product_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/relu_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/softmax_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/eltwise_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_softmax_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/contrastive_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/tile_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hdf5_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/elu_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/sigmoid_cross_entropy_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/euclidean_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/filter_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/lstm_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hinge_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/swish_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/crop_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/deconv_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/bnll_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/window_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/flatten_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/neuron_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/spp_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/silence_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hdf5_output_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/accuracy_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/log_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/absval_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/reshape_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/argmax_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/recurrent_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/threshold_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_deconv_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_pooling_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/parameter_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/base_conv_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/exp_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/clip_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_lrn_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/softmax_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/conv_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/scale_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/lrn_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/bias_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/power_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/base_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_tanh_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/prelu_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_lcn_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/input_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/batch_norm_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/pooling_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/embed_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/dropout_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/concat_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/sigmoid_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/mvn_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/infogain_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/dummy_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/im2col_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/rnn_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/batch_reindex_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_relu_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/image_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/python_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/multinomial_logistic_loss_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/slice_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/memory_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/split_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_conv_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/sgd_solvers.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/caffe.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/net.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/proto/caffe.pb.h -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/arm-linux-gnueabihf/libcaffe.so.1.0.0 -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/arm-linux-gnueabihf/libcaffe.so -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/arm-linux-gnueabihf/libcaffeproto.a -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/compute_image_mean -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_imageset -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/extract_features -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_net_proto_binary -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_net_proto_text -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_solver_proto_text -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_cifar_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/classification -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_siamese_data -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/classify.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/detect.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/draw_net.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/requirements.txt -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/train.py -- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/classifier.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__ -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy -- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/pycaffe.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_install make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_install # The upstream unittest can be used to verify the BLAS correctness. # the two lines start with dash in order to avoid FTBFS on Arch=all. mv caffe_cpu_build/test/test.testbin caffe-gtest install -m0755 caffe-gtest debian/caffe-tools-cpu/usr/bin/ dh_missing --list-missing dh_missing: usr/python/detect.py exists in debian/tmp but is not installed to anywhere dh_missing: usr/python/train.py exists in debian/tmp but is not installed to anywhere dh_missing: usr/python/classify.py exists in debian/tmp but is not installed to anywhere dh_missing: usr/python/draw_net.py exists in debian/tmp but is not installed to anywhere The following debhelper tools have reported what they installed (with files per package) * dh_install: caffe-cpu (0), caffe-doc (11), caffe-tools-cpu (11), libcaffe-cpu-dev (23), libcaffe-cpu1 (1), python3-caffe-cpu (2) If the missing files are installed by another tool, please file a bug against it. When filing the report, if the tool is not part of debhelper itself, please reference the "Logging helpers and dh_missing" section from the "PROGRAMMING" guide for debhelper (10.6.3+). (in the debhelper package: /usr/share/doc/debhelper/PROGRAMMING.gz) Be sure to test with dpkg-buildpackage -A/-B as the results may vary when only a subset is built For a short-term work-around: Add the files to debian/not-installed make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installdocs -O--buildsystem=cmake dh_installchangelogs -O--buildsystem=cmake dh_installexamples -O--buildsystem=cmake dh_installman -O--buildsystem=cmake dh_bash-completion -O--buildsystem=cmake debian/rules override_dh_python3 make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_python3 --requires=python/requirements.txt I: dh_python3 fs:343: renaming _caffe.so to _caffe.cpython-37m-arm-linux-gnueabihf.so dh_numpy3 make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installinit -O--buildsystem=cmake dh_lintian -O--buildsystem=cmake dh_perl -O--buildsystem=cmake dh_link -O--buildsystem=cmake dh_strip_nondeterminism -O--buildsystem=cmake dh_compress -O--buildsystem=cmake debian/rules override_dh_fixperms-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms -O--buildsystem=cmake -Ncaffe-cpu -Ncaffe-tools-cpu -Nlibcaffe-cpu1 -Nlibcaffe-cpu-dev -Npython3-caffe-cpu dh_missing -O--buildsystem=cmake dh_strip -O--buildsystem=cmake debian/rules override_dh_makeshlibs make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe-cpu -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -O--buildsystem=cmake dpkg-shlibdeps: warning: debian/python3-caffe-cpu/usr/lib/python3/dist-packages/caffe/_caffe.cpython-37m-arm-linux-gnueabihf.so contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: symbol __aeabi_atexit@CXXABI_ARM_1.3.3 used by debian/libcaffe-cpu1/usr/lib/arm-linux-gnueabihf/libcaffe.so.1.0.0 found in none of the libraries dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/caffe-gtest contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/convert_mnist_data contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/caffe contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/extract_features contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/classification contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/upgrade_solver_proto_text contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/convert_mnist_siamese_data contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/compute_image_mean contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/upgrade_net_proto_binary contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/convert_imageset contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/convert_cifar_data contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dpkg-shlibdeps: warning: debian/caffe-tools-cpu/usr/bin/upgrade_net_proto_text contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dh_installdeb -O--buildsystem=cmake dh_gencontrol -O--buildsystem=cmake dpkg-gencontrol: warning: package caffe-cpu: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package libcaffe-cpu1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe-cpu: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe-tools-cpu: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-cpu1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-tools-cpu: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-cpu-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O--buildsystem=cmake dh_builddeb -O--buildsystem=cmake dpkg-deb: building package 'caffe-cpu' in '../caffe-cpu_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-deb: building package 'libcaffe-cpu1' in '../libcaffe-cpu1_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-deb: building package 'python3-caffe-cpu' in '../python3-caffe-cpu_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-deb: building package 'caffe-tools-cpu' in '../caffe-tools-cpu_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-deb: building package 'libcaffe-cpu1-dbgsym' in '../libcaffe-cpu1-dbgsym_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-deb: building package 'python3-caffe-cpu-dbgsym' in '../python3-caffe-cpu-dbgsym_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-2_all.deb'. dpkg-deb: building package 'caffe-tools-cpu-dbgsym' in '../caffe-tools-cpu-dbgsym_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-deb: building package 'libcaffe-cpu-dev' in '../libcaffe-cpu-dev_1.0.0+git20180821.99bd997-2_armhf.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-2_armhf.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) I: copying local configuration I: 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/17672 and its subdirectories I: Current time: Mon Jun 8 17:26:31 -12 2020 I: pbuilder-time-stamp: 1591680391