I: pbuilder: network access will be disabled during build I: Current time: Sun Sep 12 10:30:14 +14 2021 I: pbuilder-time-stamp: 1631392214 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [caffe_1.0.0+git20180821.99bd997-8.dsc] I: copying [./caffe_1.0.0+git20180821.99bd997.orig.tar.gz] I: copying [./caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' gpgv: keyblock resource '/tmp/dpkg-verify-sig.R7wfBNzB/trustedkeys.kbx': General error gpgv: Signature made Sat Nov 21 21:51:48 2020 +14 gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A gpgv: issuer "lumin@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./caffe_1.0.0+git20180821.99bd997-8.dsc dpkg-source: info: extracting caffe in caffe-1.0.0+git20180821.99bd997 dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997.orig.tar.gz dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying cmake-using-basic-blas dpkg-source: info: applying cmake-fix-python-module-installdir dpkg-source: info: applying fix-more-float-comparison-precision-issue2 dpkg-source: info: applying cmake-link-correct-python-lib.patch dpkg-source: info: applying 6693.diff dpkg-source: info: applying pyrequire-no-leveldb.patch I: using fakeroot in build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/10460/tmp/hooks/D01_modify_environment starting debug: Running on virt64b. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash Removing 'diversion of /bin/sh to /bin/sh.distrib by dash' Adding 'diversion of /bin/sh to /bin/sh.distrib by bash' Removing 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by dash' Adding 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by bash' I: Setting pbuilder2's login shell to /bin/bash I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other I: user script /srv/workspace/pbuilder/10460/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/10460/tmp/hooks/D02_print_environment starting I: set BASH=/bin/sh BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:hostcomplete:interactive_comments:progcomp:promptvars:sourcepath BASH_ALIASES=() BASH_ARGC=() BASH_ARGV=() BASH_CMDS=() BASH_LINENO=([0]="12" [1]="0") BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") BASH_VERSINFO=([0]="5" [1]="1" [2]="4" [3]="1" [4]="release" [5]="arm-unknown-linux-gnueabihf") BASH_VERSION='5.1.4(1)-release' BUILDDIR=/build BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=armhf DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=4' DIRSTACK=() DISTRIBUTION= EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=arm HOST_ARCH=armhf IFS=' ' INVOCATION_ID=77a46a9d43e447779a435a17cb1d560a LANG=C LANGUAGE=it_CH:it LC_ALL=C MACHTYPE=arm-unknown-linux-gnueabihf MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnueabihf PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=10460 PS4='+ ' PWD=/ SHELL=/bin/bash SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix SHLVL=3 SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/tmp.1Kw5n2XAOJ/pbuilderrc_gV9Q --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.1Kw5n2XAOJ/b2 --logfile b2/build.log caffe_1.0.0+git20180821.99bd997-8.dsc' SUDO_GID=113 SUDO_UID=107 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root _='I: set' http_proxy=http://10.0.0.15:8000/ I: uname -a Linux i-capture-the-hostname 5.10.0-8-arm64 #1 SMP Debian 5.10.46-4 (2021-08-03) aarch64 GNU/Linux I: ls -l /bin total 3580 -rwxr-xr-x 1 root root 816764 Aug 5 10:25 bash -rwxr-xr-x 3 root root 26052 Jul 21 2020 bunzip2 -rwxr-xr-x 3 root root 26052 Jul 21 2020 bzcat lrwxrwxrwx 1 root root 6 Jul 21 2020 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2225 Jul 21 2020 bzdiff lrwxrwxrwx 1 root root 6 Jul 21 2020 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Sep 5 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 21 2020 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3775 Jul 21 2020 bzgrep -rwxr-xr-x 3 root root 26052 Jul 21 2020 bzip2 -rwxr-xr-x 1 root root 9636 Jul 21 2020 bzip2recover lrwxrwxrwx 1 root root 6 Jul 21 2020 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 21 2020 bzmore -rwxr-xr-x 1 root root 26668 Sep 23 2020 cat -rwxr-xr-x 1 root root 43104 Sep 23 2020 chgrp -rwxr-xr-x 1 root root 38984 Sep 23 2020 chmod -rwxr-xr-x 1 root root 43112 Sep 23 2020 chown -rwxr-xr-x 1 root root 92616 Sep 23 2020 cp -rwxr-xr-x 1 root root 75524 Dec 11 2020 dash -rwxr-xr-x 1 root root 75880 Sep 23 2020 date -rwxr-xr-x 1 root root 55436 Sep 23 2020 dd -rwxr-xr-x 1 root root 59912 Sep 23 2020 df -rwxr-xr-x 1 root root 96764 Sep 23 2020 dir -rwxr-xr-x 1 root root 55012 Jul 29 09:09 dmesg lrwxrwxrwx 1 root root 8 Nov 8 2019 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Nov 8 2019 domainname -> hostname -rwxr-xr-x 1 root root 22508 Sep 23 2020 echo -rwxr-xr-x 1 root root 28 Nov 10 2020 egrep -rwxr-xr-x 1 root root 22496 Sep 23 2020 false -rwxr-xr-x 1 root root 28 Nov 10 2020 fgrep -rwxr-xr-x 1 root root 47492 Jul 29 09:09 findmnt -rwsr-xr-x 1 root root 26076 Feb 27 2021 fusermount -rwxr-xr-x 1 root root 124508 Nov 10 2020 grep -rwxr-xr-x 2 root root 2346 Mar 3 2021 gunzip -rwxr-xr-x 1 root root 6376 Mar 3 2021 gzexe -rwxr-xr-x 1 root root 64212 Mar 3 2021 gzip -rwxr-xr-x 1 root root 13784 Nov 8 2019 hostname -rwxr-xr-x 1 root root 43180 Sep 23 2020 ln -rwxr-xr-x 1 root root 35068 Feb 8 2020 login -rwxr-xr-x 1 root root 96764 Sep 23 2020 ls -rwxr-xr-x 1 root root 99940 Jul 29 09:09 lsblk -rwxr-xr-x 1 root root 51408 Sep 23 2020 mkdir -rwxr-xr-x 1 root root 43184 Sep 23 2020 mknod -rwxr-xr-x 1 root root 30780 Sep 23 2020 mktemp -rwxr-xr-x 1 root root 34408 Jul 29 09:09 more -rwsr-xr-x 1 root root 34400 Jul 29 09:09 mount -rwxr-xr-x 1 root root 9824 Jul 29 09:09 mountpoint -rwxr-xr-x 1 root root 88524 Sep 23 2020 mv lrwxrwxrwx 1 root root 8 Nov 8 2019 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Apr 19 05:38 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 26652 Sep 23 2020 pwd lrwxrwxrwx 1 root root 4 Aug 5 10:25 rbash -> bash -rwxr-xr-x 1 root root 30740 Sep 23 2020 readlink -rwxr-xr-x 1 root root 43104 Sep 23 2020 rm -rwxr-xr-x 1 root root 30732 Sep 23 2020 rmdir -rwxr-xr-x 1 root root 14144 Sep 28 2020 run-parts -rwxr-xr-x 1 root root 76012 Dec 23 2018 sed lrwxrwxrwx 1 root root 4 Sep 12 10:30 sh -> bash lrwxrwxrwx 1 root root 4 Sep 7 23:25 sh.distrib -> dash -rwxr-xr-x 1 root root 22532 Sep 23 2020 sleep -rwxr-xr-x 1 root root 55360 Sep 23 2020 stty -rwsr-xr-x 1 root root 46704 Jul 29 09:09 su -rwxr-xr-x 1 root root 22532 Sep 23 2020 sync -rwxr-xr-x 1 root root 340872 Feb 17 2021 tar -rwxr-xr-x 1 root root 9808 Sep 28 2020 tempfile -rwxr-xr-x 1 root root 67696 Sep 23 2020 touch -rwxr-xr-x 1 root root 22496 Sep 23 2020 true -rwxr-xr-x 1 root root 9636 Feb 27 2021 ulockmgr_server -rwsr-xr-x 1 root root 22108 Jul 29 09:09 umount -rwxr-xr-x 1 root root 22520 Sep 23 2020 uname -rwxr-xr-x 2 root root 2346 Mar 3 2021 uncompress -rwxr-xr-x 1 root root 96764 Sep 23 2020 vdir -rwxr-xr-x 1 root root 38512 Jul 29 09:09 wdctl lrwxrwxrwx 1 root root 8 Nov 8 2019 ypdomainname -> hostname -rwxr-xr-x 1 root root 1984 Mar 3 2021 zcat -rwxr-xr-x 1 root root 1678 Mar 3 2021 zcmp -rwxr-xr-x 1 root root 5880 Mar 3 2021 zdiff -rwxr-xr-x 1 root root 29 Mar 3 2021 zegrep -rwxr-xr-x 1 root root 29 Mar 3 2021 zfgrep -rwxr-xr-x 1 root root 2081 Mar 3 2021 zforce -rwxr-xr-x 1 root root 7585 Mar 3 2021 zgrep -rwxr-xr-x 1 root root 2206 Mar 3 2021 zless -rwxr-xr-x 1 root root 1842 Mar 3 2021 zmore -rwxr-xr-x 1 root root 4553 Mar 3 2021 znew I: user script /srv/workspace/pbuilder/10460/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-compat (= 13), dh-python, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4), libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml, doxygen, doxygen-latex dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19398 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on bc; however: Package bc is not installed. pbuilder-satisfydepends-dummy depends on cmake; however: Package cmake is not installed. pbuilder-satisfydepends-dummy depends on bash-completion; however: Package bash-completion is not installed. pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on libboost-dev; however: Package libboost-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-filesystem-dev; however: Package libboost-filesystem-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-system-dev; however: Package libboost-system-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-thread-dev; however: Package libboost-thread-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-python-dev; however: Package libboost-python-dev is not installed. pbuilder-satisfydepends-dummy depends on libgflags-dev; however: Package libgflags-dev is not installed. pbuilder-satisfydepends-dummy depends on libgoogle-glog-dev; however: Package libgoogle-glog-dev is not installed. pbuilder-satisfydepends-dummy depends on libhdf5-dev; however: Package libhdf5-dev is not installed. pbuilder-satisfydepends-dummy depends on libleveldb-dev; however: Package libleveldb-dev is not installed. pbuilder-satisfydepends-dummy depends on liblmdb-dev; however: Package liblmdb-dev is not installed. pbuilder-satisfydepends-dummy depends on libblas-dev | libblas.so; however: Package libblas-dev is not installed. Package libblas.so is not installed. pbuilder-satisfydepends-dummy depends on libopencv-dev (>= 2.4); however: Package libopencv-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotobuf-dev; however: Package libprotobuf-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotoc-dev; however: Package libprotoc-dev is not installed. pbuilder-satisfydepends-dummy depends on libsnappy-dev; however: Package libsnappy-dev is not installed. pbuilder-satisfydepends-dummy depends on protobuf-compiler; however: Package protobuf-compiler is not installed. pbuilder-satisfydepends-dummy depends on python3-dev; however: Package python3-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on cython3; however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on ipython3; however: Package ipython3 is not installed. pbuilder-satisfydepends-dummy depends on python3; however: Package python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-distutils; however: Package python3-distutils is not installed. pbuilder-satisfydepends-dummy depends on python3-skimage; however: Package python3-skimage is not installed. pbuilder-satisfydepends-dummy depends on python3-protobuf; however: Package python3-protobuf is not installed. pbuilder-satisfydepends-dummy depends on python3-dateutil; however: Package python3-dateutil is not installed. pbuilder-satisfydepends-dummy depends on python3-gflags; however: Package python3-gflags is not installed. pbuilder-satisfydepends-dummy depends on python3-h5py; however: Package python3-h5py is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-networkx; however: Package python3-networkx is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-pandas; however: Package python3-pandas is not installed. pbuilder-satisfydepends-dummy depends on python3-pil; however: Package python3-pil is not installed. pbuilder-satisfydepends-dummy depends on python3-pydotplus; however: Package python3-pydotplus is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-yaml; however: Package python3-yaml is not installed. pbuilder-satisfydepends-dummy depends on doxygen; however: Package doxygen is not installed. pbuilder-satisfydepends-dummy depends on doxygen-latex; however: Package doxygen-latex is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: adwaita-icon-theme{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bash-completion{a} bc{a} bsdextrautils{a} cm-super-minimal{a} cmake{a} cmake-data{a} cython3{a} dbus{a} dbus-user-session{a} dconf-gsettings-backend{a} dconf-service{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dmsetup{a} doxygen{a} doxygen-latex{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-lyx{a} fonts-urw-base35{a} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} glib-networking{a} glib-networking-common{a} glib-networking-services{a} graphviz{a} groff-base{a} gsettings-desktop-schemas{a} gtk-update-icon-cache{a} hdf5-helpers{a} hicolor-icon-theme{a} intltool-debian{a} ipython3{a} iso-codes{a} libaec-dev{a} libaec0{a} libaom0{a} libapache-pom-java{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo10{a} libarpack2{a} libatk-bridge2.0-0{a} libatk1.0-0{a} libatk1.0-data{a} libatspi2.0-0{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavcodec-dev{a} libavcodec58{a} libavformat-dev{a} libavformat58{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.74-dev{a} libboost-atomic1.74.0{a} libboost-chrono1.74-dev{a} libboost-chrono1.74.0{a} libboost-date-time1.74-dev{a} libboost-date-time1.74.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.74-dev{a} libboost-filesystem1.74.0{a} libboost-python-dev{a} libboost-python1.74-dev{a} libboost-python1.74.0{a} libboost-serialization1.74-dev{a} libboost-serialization1.74.0{a} libboost-system-dev{a} libboost-system1.74-dev{a} libboost-system1.74.0{a} libboost-thread-dev{a} libboost-thread1.74-dev{a} libboost-thread1.74.0{a} libboost1.74-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcap2-bin{a} libcdt5{a} libcfitsio9{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang-cpp11{a} libclang1-11{a} libcodec2-0.9{a} libcolord2{a} libcommons-logging-java{a} libcommons-parent-java{a} libcryptsetup12{a} libcups2{a} libcurl3-gnutls{a} libcurl4{a} libdap27{a} libdapclient6v5{a} libdatrie1{a} libdav1d4{a} libdbus-1-3{a} libdc1394-25{a} libdc1394-dev{a} libdconf1{a} libde265-0{a} libdebhelper-perl{a} libdeflate-dev{a} libdeflate0{a} libdevmapper1.02.1{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libdw1{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontbox-java{a} libfontconfig1{a} libfontenc1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal28{a} libgdcm-dev{a} libgdcm3.0{a} libgdk-pixbuf-2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.9.0{a} libgeos-c1v5{a} libgeotiff5{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglew2.1{a} libglib2.0-0{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgme0{a} libgoogle-glog-dev{a} libgoogle-glog0v5{a} libgphoto2-6{a} libgphoto2-dev{a} libgphoto2-port12{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgsm1{a} libgstreamer-plugins-base1.0-0{a} libgstreamer1.0-0{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103-1{a} libhdf5-cpp-103-1{a} libhdf5-dev{a} libhdf5-fortran-102{a} libhdf5-hl-100{a} libhdf5-hl-cpp-100{a} libhdf5-hl-fortran-100{a} libheif1{a} libice6{a} libicu67{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase25{a} libimagequant0{a} libip4tc2{a} libjbig-dev{a} libjbig0{a} libjbig2dec0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-c5{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp24{a} libkmlbase1{a} libkmldom1{a} libkmlengine1{a} libkmod2{a} libkpathsea6{a} liblab-gamut1{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} libldap-2.4-2{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm11{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzf1{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmd0{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec3{a} libmpg123-0{a} libncurses6{a} libnetcdf18{a} libnghttp2-14{a} libnorm1{a} libnspr4{a} libnss3{a} libodbc1{a} libogdi4.1{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d4.5{a} libopencv-contrib-dev{a} libopencv-contrib4.5{a} libopencv-core-dev{a} libopencv-core4.5{a} libopencv-dev{a} libopencv-dnn-dev{a} libopencv-dnn4.5{a} libopencv-features2d-dev{a} libopencv-features2d4.5{a} libopencv-flann-dev{a} libopencv-flann4.5{a} libopencv-highgui-dev{a} libopencv-highgui4.5{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs4.5{a} libopencv-imgproc-dev{a} libopencv-imgproc4.5{a} libopencv-ml-dev{a} libopencv-ml4.5{a} libopencv-objdetect-dev{a} libopencv-objdetect4.5{a} libopencv-photo-dev{a} libopencv-photo4.5{a} libopencv-shape-dev{a} libopencv-shape4.5{a} libopencv-stitching-dev{a} libopencv-stitching4.5{a} libopencv-superres-dev{a} libopencv-superres4.5{a} libopencv-video-dev{a} libopencv-video4.5{a} libopencv-videoio-dev{a} libopencv-videoio4.5{a} libopencv-videostab-dev{a} libopencv-videostab4.5{a} libopencv-viz-dev{a} libopencv-viz4.5{a} libopenexr-dev{a} libopenexr25{a} libopengl0{a} libopenjp2-7{a} libopenmpt0{a} libopus0{a} liborc-0.4-0{a} libpam-systemd{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpdfbox-java{a} libpgm-5.3-0{a} libpipeline1{a} libpixman-1-0{a} libpng-dev{a} libpng16-16{a} libpoppler102{a} libpq5{a} libprocps8{a} libproj19{a} libprotobuf-dev{a} libprotobuf-lite23{a} libprotobuf23{a} libprotoc-dev{a} libprotoc23{a} libproxy1v5{a} libpsl5{a} libptexenc1{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.9{a} libpython3.9-dev{a} libpython3.9-minimal{a} libpython3.9-stdlib{a} libqhull8.0{a} librabbitmq4{a} libraw1394-11{a} libraw1394-dev{a} libreadline8{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librtmp1{a} librttopo1{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libshine3{a} libsigsegv2{a} libsm6{a} libsnappy-dev{a} libsnappy1v5{a} libsocket++1{a} libsodium23{a} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libsrt1.4-gnutls{a} libssh-gcrypt-4{a} libssh2-1{a} libsub-override-perl{a} libsuperlu5{a} libswresample-dev{a} libswresample3{a} libswscale-dev{a} libswscale5{a} libsynctex2{a} libsz2{a} libtbb-dev{a} libtbb2{a} libtcl8.6{a} libteckit0{a} libtesseract4{a} libtexlua53{a} libtexluajit2{a} libthai-data{a} libthai0{a} libtheora0{a} libtiff-dev{a} libtiff5{a} libtiffxx5{a} libtk8.6{a} libtool{a} libtwolame0{a} libuchardet0{a} libudfread0{a} libunicode-linebreak-perl{a} libunwind8{a} liburiparser1{a} libusb-1.0-0{a} libuv1{a} libva-drm2{a} libva-x11-2{a} libva2{a} libvdpau1{a} libvorbis0a{a} libvorbisenc2{a} libvorbisfile3{a} libvpx6{a} libvtk9{a} libvulkan1{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-160{a} libx265-192{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-xfixes0{a} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxerces-c3.2{a} libxext6{a} libxfixes3{a} libxft2{a} libxi6{a} libxinerama1{a} libxkbcommon0{a} libxml2{a} libxmu6{a} libxpm4{a} libxrandr2{a} libxrender1{a} libxshmfence1{a} libxss1{a} libxt6{a} libxvidcore4{a} libxxf86vm1{a} libyaml-0-2{a} libz3-4{a} libzmq5{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lmodern{a} m4{a} mailcap{a} man-db{a} mariadb-common{a} media-types{a} mime-support{a} mysql-common{a} ocl-icd-libopencl1{a} odbcinst{a} odbcinst1debian2{a} pkg-config{a} po-debconf{a} poppler-data{a} preview-latex-style{a} procps{a} proj-data{a} protobuf-compiler{a} python-matplotlib-data{a} python3{a} python3-backcall{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-h5py-serial{a} python3-imageio{a} python3-ipython{a} python3-ipython-genutils{a} python3-jedi{a} python3-kiwisolver{a} python3-lib2to3{a} python3-matplotlib{a} python3-minimal{a} python3-networkx{a} python3-nose{a} python3-numpy{a} python3-pandas{a} python3-pandas-lib{a} python3-parso{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-protobuf{a} python3-ptyprocess{a} python3-pydotplus{a} python3-pygments{a} python3-pyparsing{a} python3-pywt{a} python3-scipy{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-tifffile{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.9{a} python3.9-dev{a} python3.9-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{a} systemd-timesyncd{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-extra-utils{a} texlive-font-utils{a} texlive-fonts-recommended{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-luatex{a} texlive-pictures{a} texlive-plain-generic{a} ttf-bitstream-vera{a} ucf{a} x11-common{a} xdg-utils{a} xfonts-encodings{a} xfonts-utils{a} xkb-data{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: at-spi2-core ca-certificates curl dvisvgm fonts-droid-fallback fonts-liberation gstreamer1.0-plugins-base javascript-common libaacs0 libarchive-cpio-perl libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin libldap-common liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libopencv4.5-java libpam-cap libpng-tools libraw1394-tools librsvg2-common libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lynx mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers opencv-data proj-bin ps2eps psmisc publicsuffix python3-bottleneck python3-bs4 python3-dask python3-gdal python3-html5lib python3-jinja2 python3-lxml python3-numexpr python3-odf python3-olefile python3-openpyxl python3-pydot python3-pygraphviz python3-pytest python3-tables python3-tk python3-xlwt ruby tex-gyre tipa tk va-driver-all vdpau-driver-all wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 551 newly installed, 0 to remove and 0 not upgraded. Need to get 526 MB of archives. After unpacking 1743 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian bullseye/main armhf libapparmor1 armhf 2.13.6-10 [94.5 kB] Get: 2 http://deb.debian.org/debian bullseye/main armhf libcap2 armhf 1:2.44-1 [21.2 kB] Get: 3 http://deb.debian.org/debian bullseye/main armhf libargon2-1 armhf 0~20171227-0.2 [20.4 kB] Get: 4 http://deb.debian.org/debian bullseye/main armhf dmsetup armhf 2:1.02.175-2.1 [92.1 kB] Get: 5 http://deb.debian.org/debian bullseye/main armhf libdevmapper1.02.1 armhf 2:1.02.175-2.1 [135 kB] Get: 6 http://deb.debian.org/debian bullseye/main armhf libjson-c5 armhf 0.15-2 [39.0 kB] Get: 7 http://deb.debian.org/debian bullseye/main armhf libcryptsetup12 armhf 2:2.3.5-1 [223 kB] Get: 8 http://deb.debian.org/debian bullseye/main armhf libip4tc2 armhf 1.8.7-1 [32.6 kB] Get: 9 http://deb.debian.org/debian bullseye/main armhf libkmod2 armhf 28-1 [48.5 kB] Get: 10 http://deb.debian.org/debian bullseye/main armhf systemd-timesyncd armhf 247.3-6 [130 kB] Get: 11 http://deb.debian.org/debian bullseye/main armhf systemd armhf 247.3-6 [4298 kB] Get: 12 http://deb.debian.org/debian bullseye/main armhf systemd-sysv armhf 247.3-6 [113 kB] Get: 13 http://deb.debian.org/debian bullseye/main armhf libdbus-1-3 armhf 1.12.20-2 [196 kB] Get: 14 http://deb.debian.org/debian bullseye/main armhf libexpat1 armhf 2.2.10-2 [76.3 kB] Get: 15 http://deb.debian.org/debian bullseye/main armhf dbus armhf 1.12.20-2 [222 kB] Get: 16 http://deb.debian.org/debian bullseye/main armhf bsdextrautils armhf 2.36.1-8 [138 kB] Get: 17 http://deb.debian.org/debian bullseye/main armhf libuchardet0 armhf 0.0.7-1 [65.0 kB] Get: 18 http://deb.debian.org/debian bullseye/main armhf groff-base armhf 1.22.4-6 [847 kB] Get: 19 http://deb.debian.org/debian bullseye/main armhf libpipeline1 armhf 1.5.3-1 [30.1 kB] Get: 20 http://deb.debian.org/debian bullseye/main armhf man-db armhf 2.9.4-2 [1319 kB] Get: 21 http://deb.debian.org/debian bullseye/main armhf poppler-data all 0.4.10-1 [1602 kB] Get: 22 http://deb.debian.org/debian bullseye/main armhf libpython3.9-minimal armhf 3.9.2-1 [790 kB] Get: 23 http://deb.debian.org/debian bullseye/main armhf python3.9-minimal armhf 3.9.2-1 [1630 kB] Get: 24 http://deb.debian.org/debian bullseye/main armhf python3-minimal armhf 3.9.2-3 [38.2 kB] Get: 25 http://deb.debian.org/debian bullseye/main armhf media-types all 4.0.0 [30.3 kB] Get: 26 http://deb.debian.org/debian bullseye/main armhf mailcap all 3.69 [31.7 kB] Get: 27 http://deb.debian.org/debian bullseye/main armhf mime-support all 3.66 [10.9 kB] Get: 28 http://deb.debian.org/debian bullseye/main armhf libmpdec3 armhf 2.5.1-1 [74.9 kB] Get: 29 http://deb.debian.org/debian bullseye/main armhf readline-common all 8.1-1 [73.7 kB] Get: 30 http://deb.debian.org/debian bullseye/main armhf libreadline8 armhf 8.1-1 [147 kB] Get: 31 http://deb.debian.org/debian bullseye/main armhf libpython3.9-stdlib armhf 3.9.2-1 [1608 kB] Get: 32 http://deb.debian.org/debian bullseye/main armhf python3.9 armhf 3.9.2-1 [466 kB] Get: 33 http://deb.debian.org/debian bullseye/main armhf libpython3-stdlib armhf 3.9.2-3 [21.4 kB] Get: 34 http://deb.debian.org/debian bullseye/main armhf python3 armhf 3.9.2-3 [37.9 kB] Get: 35 http://deb.debian.org/debian bullseye/main armhf sensible-utils all 0.0.14 [14.8 kB] Get: 36 http://deb.debian.org/debian bullseye/main armhf ucf all 3.0043 [74.0 kB] Get: 37 http://deb.debian.org/debian bullseye/main armhf tex-common all 6.16 [53.7 kB] Get: 38 http://deb.debian.org/debian bullseye/main armhf libncurses6 armhf 6.2+20201114-2 [80.5 kB] Get: 39 http://deb.debian.org/debian bullseye/main armhf libprocps8 armhf 2:3.3.17-5 [60.7 kB] Get: 40 http://deb.debian.org/debian bullseye/main armhf procps armhf 2:3.3.17-5 [492 kB] Get: 41 http://deb.debian.org/debian bullseye/main armhf bash-completion all 1:2.11-2 [234 kB] Get: 42 http://deb.debian.org/debian bullseye/main armhf libmagic-mgc armhf 1:5.39-3 [273 kB] Get: 43 http://deb.debian.org/debian bullseye/main armhf libmagic1 armhf 1:5.39-3 [117 kB] Get: 44 http://deb.debian.org/debian bullseye/main armhf file armhf 1:5.39-3 [68.1 kB] Get: 45 http://deb.debian.org/debian bullseye/main armhf gettext-base armhf 0.21-4 [171 kB] Get: 46 http://deb.debian.org/debian bullseye/main armhf libpam-systemd armhf 247.3-6 [262 kB] Get: 47 http://deb.debian.org/debian bullseye/main armhf hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 48 http://deb.debian.org/debian bullseye/main armhf libgdk-pixbuf2.0-common all 2.42.2+dfsg-1 [320 kB] Get: 49 http://deb.debian.org/debian bullseye/main armhf libglib2.0-0 armhf 2.66.8-1 [1206 kB] Get: 50 http://deb.debian.org/debian bullseye/main armhf libicu67 armhf 67.1-7 [8319 kB] Get: 51 http://deb.debian.org/debian bullseye/main armhf libxml2 armhf 2.9.10+dfsg-6.7 [602 kB] Get: 52 http://deb.debian.org/debian bullseye/main armhf shared-mime-info armhf 2.0-1 [699 kB] Get: 53 http://deb.debian.org/debian bullseye/main armhf libjpeg62-turbo armhf 1:2.0.6-4 [123 kB] Get: 54 http://deb.debian.org/debian bullseye/main armhf libpng16-16 armhf 1.6.37-3 [277 kB] Get: 55 http://deb.debian.org/debian bullseye/main armhf libdeflate0 armhf 1.7-1 [43.1 kB] Get: 56 http://deb.debian.org/debian bullseye/main armhf libjbig0 armhf 2.1-3.1+b2 [28.4 kB] Get: 57 http://deb.debian.org/debian bullseye/main armhf libwebp6 armhf 0.6.1-2.1 [226 kB] Get: 58 http://deb.debian.org/debian bullseye/main armhf libtiff5 armhf 4.2.0-1 [271 kB] Get: 59 http://deb.debian.org/debian bullseye/main armhf libgdk-pixbuf-2.0-0 armhf 2.42.2+dfsg-1 [131 kB] Get: 60 http://deb.debian.org/debian bullseye/main armhf gtk-update-icon-cache armhf 3.24.24-4 [86.4 kB] Get: 61 http://deb.debian.org/debian bullseye/main armhf adwaita-icon-theme all 3.38.0-1 [10.9 MB] Get: 62 http://deb.debian.org/debian bullseye/main armhf libsigsegv2 armhf 2.13-1 [34.0 kB] Get: 63 http://deb.debian.org/debian bullseye/main armhf m4 armhf 1.4.18-5 [192 kB] Get: 64 http://deb.debian.org/debian bullseye/main armhf autoconf all 2.69-14 [313 kB] Get: 65 http://deb.debian.org/debian bullseye/main armhf autotools-dev all 20180224.1+nmu1 [77.1 kB] Get: 66 http://deb.debian.org/debian bullseye/main armhf automake all 1:1.16.3-2 [814 kB] Get: 67 http://deb.debian.org/debian bullseye/main armhf autopoint all 0.21-4 [510 kB] Get: 68 http://deb.debian.org/debian bullseye/main armhf bc armhf 1.07.1-2+b2 [104 kB] Get: 69 http://deb.debian.org/debian bullseye/main armhf libpaper1 armhf 1.1.28+b1 [20.8 kB] Get: 70 http://deb.debian.org/debian bullseye/main armhf libpaper-utils armhf 1.1.28+b1 [17.9 kB] Get: 71 http://deb.debian.org/debian bullseye/main armhf libkpathsea6 armhf 2020.20200327.54578-7 [163 kB] Get: 72 http://deb.debian.org/debian bullseye/main armhf libptexenc1 armhf 2020.20200327.54578-7 [61.2 kB] Get: 73 http://deb.debian.org/debian bullseye/main armhf libsynctex2 armhf 2020.20200327.54578-7 [70.2 kB] Get: 74 http://deb.debian.org/debian bullseye/main armhf libtexlua53 armhf 2020.20200327.54578-7 [102 kB] Get: 75 http://deb.debian.org/debian bullseye/main armhf libtexluajit2 armhf 2020.20200327.54578-7 [205 kB] Get: 76 http://deb.debian.org/debian bullseye/main armhf t1utils armhf 1.41-4 [54.7 kB] Get: 77 http://deb.debian.org/debian bullseye/main armhf libbrotli1 armhf 1.0.9-2+b2 [262 kB] Get: 78 http://deb.debian.org/debian bullseye/main armhf libfreetype6 armhf 2.10.4+dfsg-1 [357 kB] Get: 79 http://deb.debian.org/debian bullseye/main armhf fonts-dejavu-core all 2.37-2 [1069 kB] Get: 80 http://deb.debian.org/debian bullseye/main armhf ttf-bitstream-vera all 1.10-8.1 [223 kB] Get: 81 http://deb.debian.org/debian bullseye/main armhf fonts-urw-base35 all 20200910-1 [6367 kB] Get: 82 http://deb.debian.org/debian bullseye/main armhf fontconfig-config all 2.13.1-4.2 [281 kB] Get: 83 http://deb.debian.org/debian bullseye/main armhf libfontconfig1 armhf 2.13.1-4.2 [329 kB] Get: 84 http://deb.debian.org/debian bullseye/main armhf libpixman-1-0 armhf 0.40.0-1 [466 kB] Get: 85 http://deb.debian.org/debian bullseye/main armhf libxau6 armhf 1:1.0.9-1 [19.0 kB] Get: 86 http://deb.debian.org/debian bullseye/main armhf libmd0 armhf 1.0.3-3 [27.4 kB] Get: 87 http://deb.debian.org/debian bullseye/main armhf libbsd0 armhf 0.11.3-1 [103 kB] Get: 88 http://deb.debian.org/debian bullseye/main armhf libxdmcp6 armhf 1:1.1.2-3 [24.9 kB] Get: 89 http://deb.debian.org/debian bullseye/main armhf libxcb1 armhf 1.14-3 [136 kB] Get: 90 http://deb.debian.org/debian bullseye/main armhf libx11-data all 2:1.7.2-1 [311 kB] Get: 91 http://deb.debian.org/debian bullseye/main armhf libx11-6 armhf 2:1.7.2-1 [713 kB] Get: 92 http://deb.debian.org/debian bullseye/main armhf libxcb-render0 armhf 1.14-3 [110 kB] Get: 93 http://deb.debian.org/debian bullseye/main armhf libxcb-shm0 armhf 1.14-3 [101 kB] Get: 94 http://deb.debian.org/debian bullseye/main armhf libxext6 armhf 2:1.3.3-1.1 [47.8 kB] Get: 95 http://deb.debian.org/debian bullseye/main armhf libxrender1 armhf 1:0.9.10-1 [29.9 kB] Get: 96 http://deb.debian.org/debian bullseye/main armhf libcairo2 armhf 1.16.0-5 [615 kB] Get: 97 http://deb.debian.org/debian bullseye/main armhf libgraphite2-3 armhf 1.3.14-1 [70.5 kB] Get: 98 http://deb.debian.org/debian bullseye/main armhf libharfbuzz0b armhf 2.7.4-1 [1427 kB] Get: 99 http://deb.debian.org/debian bullseye/main armhf libteckit0 armhf 2.5.10+ds1-3 [253 kB] Get: 100 http://deb.debian.org/debian bullseye/main armhf x11-common all 1:7.7+22 [252 kB] Get: 101 http://deb.debian.org/debian bullseye/main armhf libice6 armhf 2:1.0.10-1 [51.9 kB] Get: 102 http://deb.debian.org/debian bullseye/main armhf libsm6 armhf 2:1.2.3-1 [33.0 kB] Get: 103 http://deb.debian.org/debian bullseye/main armhf libxt6 armhf 1:1.2.0-1 [161 kB] Get: 104 http://deb.debian.org/debian bullseye/main armhf libxmu6 armhf 2:1.1.2-2+b3 [52.7 kB] Get: 105 http://deb.debian.org/debian bullseye/main armhf libxpm4 armhf 1:3.5.12-1 [44.0 kB] Get: 106 http://deb.debian.org/debian bullseye/main armhf libxaw7 armhf 2:1.0.13-1.1 [167 kB] Get: 107 http://deb.debian.org/debian bullseye/main armhf libxi6 armhf 2:1.7.10-1 [78.5 kB] Get: 108 http://deb.debian.org/debian bullseye/main armhf libzzip-0-13 armhf 0.13.62-3.3 [51.9 kB] Get: 109 http://deb.debian.org/debian bullseye/main armhf texlive-binaries armhf 2020.20200327.54578-7 [7626 kB] Get: 110 http://deb.debian.org/debian bullseye/main armhf xdg-utils all 1.1.3-4.1 [75.5 kB] Get: 111 http://deb.debian.org/debian bullseye/main armhf texlive-base all 2020.20210202-3 [20.8 MB] Get: 112 http://deb.debian.org/debian bullseye/main armhf fonts-lmodern all 2.004.5-6.1 [4540 kB] Get: 113 http://deb.debian.org/debian bullseye/main armhf texlive-latex-base all 2020.20210202-3 [1120 kB] Get: 114 http://deb.debian.org/debian bullseye/main armhf texlive-latex-recommended all 2020.20210202-3 [14.5 MB] Get: 115 http://deb.debian.org/debian bullseye/main armhf cm-super-minimal all 0.3.4-15 [5815 kB] Get: 116 http://deb.debian.org/debian bullseye/main armhf cmake-data all 3.18.4-2 [1725 kB] Get: 117 http://deb.debian.org/debian bullseye/main armhf libarchive13 armhf 3.4.3-2+b1 [304 kB] Get: 118 http://deb.debian.org/debian bullseye/main armhf libsasl2-modules-db armhf 2.1.27+dfsg-2.1 [67.6 kB] Get: 119 http://deb.debian.org/debian bullseye/main armhf libsasl2-2 armhf 2.1.27+dfsg-2.1 [99.1 kB] Get: 120 http://deb.debian.org/debian bullseye/main armhf libldap-2.4-2 armhf 2.4.57+dfsg-3 [210 kB] Get: 121 http://deb.debian.org/debian bullseye/main armhf libnghttp2-14 armhf 1.43.0-1 [65.6 kB] Get: 122 http://deb.debian.org/debian bullseye/main armhf libpsl5 armhf 0.21.0-1.2 [56.1 kB] Get: 123 http://deb.debian.org/debian bullseye/main armhf librtmp1 armhf 2.4+20151223.gitfa8646d.1-2+b2 [55.2 kB] Get: 124 http://deb.debian.org/debian bullseye/main armhf libssh2-1 armhf 1.9.0-2 [143 kB] Get: 125 http://deb.debian.org/debian bullseye/main armhf libcurl4 armhf 7.74.0-1.3+b1 [310 kB] Get: 126 http://deb.debian.org/debian bullseye/main armhf libjsoncpp24 armhf 1.9.4-4 [68.5 kB] Get: 127 http://deb.debian.org/debian bullseye/main armhf librhash0 armhf 1.4.1-2 [144 kB] Get: 128 http://deb.debian.org/debian bullseye/main armhf libuv1 armhf 1.40.0-2 [120 kB] Get: 129 http://deb.debian.org/debian bullseye/main armhf cmake armhf 3.18.4-2 [3534 kB] Get: 130 http://deb.debian.org/debian bullseye/main armhf cython3 armhf 0.29.21-3+b1 [1250 kB] Get: 131 http://deb.debian.org/debian bullseye/main armhf dbus-user-session armhf 1.12.20-2 [96.2 kB] Get: 132 http://deb.debian.org/debian bullseye/main armhf libdconf1 armhf 0.38.0-2 [39.4 kB] Get: 133 http://deb.debian.org/debian bullseye/main armhf dconf-service armhf 0.38.0-2 [33.6 kB] Get: 134 http://deb.debian.org/debian bullseye/main armhf dconf-gsettings-backend armhf 0.38.0-2 [27.0 kB] Get: 135 http://deb.debian.org/debian bullseye/main armhf libdebhelper-perl all 13.3.4 [189 kB] Get: 136 http://deb.debian.org/debian bullseye/main armhf libtool all 2.4.6-15 [513 kB] Get: 137 http://deb.debian.org/debian bullseye/main armhf dh-autoreconf all 20 [17.1 kB] Get: 138 http://deb.debian.org/debian bullseye/main armhf libarchive-zip-perl all 1.68-1 [104 kB] Get: 139 http://deb.debian.org/debian bullseye/main armhf libsub-override-perl all 0.09-2 [10.2 kB] Get: 140 http://deb.debian.org/debian bullseye/main armhf libfile-stripnondeterminism-perl all 1.12.0-1 [26.3 kB] Get: 141 http://deb.debian.org/debian bullseye/main armhf dh-strip-nondeterminism all 1.12.0-1 [15.4 kB] Get: 142 http://deb.debian.org/debian bullseye/main armhf libelf1 armhf 0.183-1 [161 kB] Get: 143 http://deb.debian.org/debian bullseye/main armhf dwz armhf 0.13+20210201-1 [179 kB] Get: 144 http://deb.debian.org/debian bullseye/main armhf gettext armhf 0.21-4 [1243 kB] Get: 145 http://deb.debian.org/debian bullseye/main armhf intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 146 http://deb.debian.org/debian bullseye/main armhf po-debconf all 1.0.21+nmu1 [248 kB] Get: 147 http://deb.debian.org/debian bullseye/main armhf debhelper all 13.3.4 [1049 kB] Get: 148 http://deb.debian.org/debian bullseye/main armhf python3-lib2to3 all 3.9.2-1 [77.8 kB] Get: 149 http://deb.debian.org/debian bullseye/main armhf python3-distutils all 3.9.2-1 [143 kB] Get: 150 http://deb.debian.org/debian bullseye/main armhf dh-python all 4.20201102+nmu1 [99.4 kB] Get: 151 http://deb.debian.org/debian bullseye/main armhf libedit2 armhf 3.1-20191231-2+b1 [81.1 kB] Get: 152 http://deb.debian.org/debian bullseye/main armhf libz3-4 armhf 4.8.10-1 [5959 kB] Get: 153 http://deb.debian.org/debian bullseye/main armhf libllvm11 armhf 1:11.0.1-2 [15.4 MB] Get: 154 http://deb.debian.org/debian bullseye/main armhf libclang-cpp11 armhf 1:11.0.1-2 [8197 kB] Get: 155 http://deb.debian.org/debian bullseye/main armhf libclang1-11 armhf 1:11.0.1-2 [4579 kB] Get: 156 http://deb.debian.org/debian bullseye/main armhf doxygen armhf 1.9.1-1 [3765 kB] Get: 157 http://deb.debian.org/debian bullseye/main armhf libthai-data all 0.1.28-3 [170 kB] Get: 158 http://deb.debian.org/debian bullseye/main armhf libdatrie1 armhf 0.2.13-1 [39.4 kB] Get: 159 http://deb.debian.org/debian bullseye/main armhf libthai0 armhf 0.1.28-3 [50.9 kB] Get: 160 http://deb.debian.org/debian bullseye/main armhf libsombok3 armhf 2.4.0-2+b1 [27.1 kB] Get: 161 http://deb.debian.org/debian bullseye/main armhf libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 162 http://deb.debian.org/debian bullseye/main armhf libunicode-linebreak-perl armhf 0.0.20190101-1+b2 [98.8 kB] Get: 163 http://deb.debian.org/debian bullseye/main armhf libjs-jquery all 3.5.1+dfsg+~3.5.5-7 [315 kB] Get: 164 http://deb.debian.org/debian bullseye/main armhf libfontenc1 armhf 1:1.1.4-1 [21.9 kB] Get: 165 http://deb.debian.org/debian bullseye/main armhf xfonts-encodings all 1:1.0.4-2.1 [573 kB] Get: 166 http://deb.debian.org/debian bullseye/main armhf xfonts-utils armhf 1:7.7+6 [84.5 kB] Get: 167 http://deb.debian.org/debian bullseye/main armhf lmodern all 2.004.5-6.1 [9489 kB] Get: 168 http://deb.debian.org/debian bullseye/main armhf texlive-luatex all 2020.20210202-3 [14.4 MB] Get: 169 http://deb.debian.org/debian bullseye/main armhf texlive-plain-generic all 2020.20210202-3 [27.0 MB] Get: 170 http://deb.debian.org/debian bullseye/main armhf texlive-extra-utils all 2020.20210202-3 [55.5 MB] Get: 171 http://deb.debian.org/debian bullseye/main armhf libapache-pom-java all 18-1 [4676 B] Get: 172 http://deb.debian.org/debian bullseye/main armhf libcommons-parent-java all 43-1 [10.8 kB] Get: 173 http://deb.debian.org/debian bullseye/main armhf libcommons-logging-java all 1.2-2 [62.2 kB] Get: 174 http://deb.debian.org/debian bullseye/main armhf libfontbox-java all 1:1.8.16-2 [211 kB] Get: 175 http://deb.debian.org/debian bullseye/main armhf libpdfbox-java all 1:1.8.16-2 [5205 kB] Get: 176 http://deb.debian.org/debian bullseye/main armhf preview-latex-style all 12.2-1 [201 kB] Get: 177 http://deb.debian.org/debian bullseye/main armhf texlive-pictures all 2020.20210202-3 [6743 kB] Get: 178 http://deb.debian.org/debian bullseye/main armhf texlive-latex-extra all 2020.20210202-3 [13.7 MB] Get: 179 http://deb.debian.org/debian bullseye/main armhf texlive-font-utils all 2020.20210202-3 [4672 kB] Get: 180 http://deb.debian.org/debian bullseye/main armhf libgs9-common all 9.53.3~dfsg-7 [734 kB] Get: 181 http://deb.debian.org/debian bullseye/main armhf libavahi-common-data armhf 0.8-5 [123 kB] Get: 182 http://deb.debian.org/debian bullseye/main armhf libavahi-common3 armhf 0.8-5 [55.1 kB] Get: 183 http://deb.debian.org/debian bullseye/main armhf libavahi-client3 armhf 0.8-5 [58.5 kB] Get: 184 http://deb.debian.org/debian bullseye/main armhf libcups2 armhf 2.3.3op2-3+deb11u1 [317 kB] Get: 185 http://deb.debian.org/debian bullseye/main armhf libidn11 armhf 1.33-3 [113 kB] Get: 186 http://deb.debian.org/debian bullseye/main armhf libijs-0.35 armhf 0.35-15 [14.8 kB] Get: 187 http://deb.debian.org/debian bullseye/main armhf libjbig2dec0 armhf 0.19-2 [59.0 kB] Get: 188 http://deb.debian.org/debian bullseye/main armhf liblcms2-2 armhf 2.12~rc1-2 [123 kB] Get: 189 http://deb.debian.org/debian bullseye/main armhf libopenjp2-7 armhf 2.4.0-3 [154 kB] Get: 190 http://deb.debian.org/debian bullseye/main armhf libgs9 armhf 9.53.3~dfsg-7 [1933 kB] Get: 191 http://deb.debian.org/debian bullseye/main armhf ghostscript armhf 9.53.3~dfsg-7 [97.5 kB] Get: 192 http://deb.debian.org/debian bullseye/main armhf texlive-fonts-recommended all 2020.20210202-3 [5002 kB] Get: 193 http://deb.debian.org/debian bullseye/main armhf doxygen-latex all 1.9.1-1 [298 kB] Get: 194 http://deb.debian.org/debian bullseye/main armhf fontconfig armhf 2.13.1-4.2 [415 kB] Get: 195 http://deb.debian.org/debian bullseye/main armhf fonts-lyx all 2.3.6-1 [205 kB] Get: 196 http://deb.debian.org/debian bullseye/main armhf gdal-data all 3.2.2+dfsg-2 [462 kB] Get: 197 http://deb.debian.org/debian bullseye/main armhf libproxy1v5 armhf 0.4.17-1 [54.4 kB] Get: 198 http://deb.debian.org/debian bullseye/main armhf glib-networking-common all 2.66.0-2 [68.1 kB] Get: 199 http://deb.debian.org/debian bullseye/main armhf glib-networking-services armhf 2.66.0-2 [16.9 kB] Get: 200 http://deb.debian.org/debian bullseye/main armhf gsettings-desktop-schemas all 3.38.0-2 [588 kB] Get: 201 http://deb.debian.org/debian bullseye/main armhf glib-networking armhf 2.66.0-2 [61.4 kB] Get: 202 http://deb.debian.org/debian bullseye/main armhf libcdt5 armhf 2.42.2-5 [59.7 kB] Get: 203 http://deb.debian.org/debian bullseye/main armhf libcgraph6 armhf 2.42.2-5 [78.4 kB] Get: 204 http://deb.debian.org/debian bullseye/main armhf libgd3 armhf 2.3.0-2 [119 kB] Get: 205 http://deb.debian.org/debian bullseye/main armhf libgts-0.7-5 armhf 0.7.6+darcs121130-4+b1 [138 kB] Get: 206 http://deb.debian.org/debian bullseye/main armhf libltdl7 armhf 2.4.6-15 [388 kB] Get: 207 http://deb.debian.org/debian bullseye/main armhf libfribidi0 armhf 1.0.8-2 [62.9 kB] Get: 208 http://deb.debian.org/debian bullseye/main armhf libpango-1.0-0 armhf 1.46.2-3 [173 kB] Get: 209 http://deb.debian.org/debian bullseye/main armhf libpangoft2-1.0-0 armhf 1.46.2-3 [56.1 kB] Get: 210 http://deb.debian.org/debian bullseye/main armhf libpangocairo-1.0-0 armhf 1.46.2-3 [46.8 kB] Get: 211 http://deb.debian.org/debian bullseye/main armhf libpathplan4 armhf 2.42.2-5 [61.9 kB] Get: 212 http://deb.debian.org/debian bullseye/main armhf libgvc6 armhf 2.42.2-5 [597 kB] Get: 213 http://deb.debian.org/debian bullseye/main armhf libgvpr2 armhf 2.42.2-5 [185 kB] Get: 214 http://deb.debian.org/debian bullseye/main armhf liblab-gamut1 armhf 2.42.2-5 [220 kB] Get: 215 http://deb.debian.org/debian bullseye/main armhf graphviz armhf 2.42.2-5 [521 kB] Get: 216 http://deb.debian.org/debian bullseye/main armhf hdf5-helpers armhf 1.10.6+repack-4 [40.4 kB] Get: 217 http://deb.debian.org/debian bullseye/main armhf python3-backcall all 0.2.0-1 [10.7 kB] Get: 218 http://deb.debian.org/debian bullseye/main armhf python3-decorator all 4.4.2-2 [15.8 kB] Get: 219 http://deb.debian.org/debian bullseye/main armhf python3-parso all 0.8.1-1 [65.9 kB] Get: 220 http://deb.debian.org/debian bullseye/main armhf python3-jedi all 0.18.0-1 [620 kB] Get: 221 http://deb.debian.org/debian bullseye/main armhf python3-ptyprocess all 0.7.0-1 [13.6 kB] Get: 222 http://deb.debian.org/debian bullseye/main armhf python3-pexpect all 4.8.0-2 [54.9 kB] Get: 223 http://deb.debian.org/debian bullseye/main armhf python3-pickleshare all 0.7.5-3 [7604 B] Get: 224 http://deb.debian.org/debian bullseye/main armhf python3-pkg-resources all 52.0.0-4 [190 kB] Get: 225 http://deb.debian.org/debian bullseye/main armhf python3-wcwidth all 0.1.9+dfsg1-2 [18.2 kB] Get: 226 http://deb.debian.org/debian bullseye/main armhf python3-prompt-toolkit all 3.0.14-1 [258 kB] Get: 227 http://deb.debian.org/debian bullseye/main armhf python3-pygments all 2.7.1+dfsg-2.1 [657 kB] Get: 228 http://deb.debian.org/debian bullseye/main armhf python3-ipython-genutils all 0.2.0-4 [21.4 kB] Get: 229 http://deb.debian.org/debian bullseye/main armhf python3-traitlets all 5.0.5-1 [84.4 kB] Get: 230 http://deb.debian.org/debian bullseye/main armhf python3-ipython all 7.20.0-1 [517 kB] Get: 231 http://deb.debian.org/debian bullseye/main armhf ipython3 all 7.20.0-1 [24.8 kB] Get: 232 http://deb.debian.org/debian bullseye/main armhf iso-codes all 4.6.0-1 [2824 kB] Get: 233 http://deb.debian.org/debian bullseye/main armhf libaec0 armhf 1.0.4-1 [20.4 kB] Get: 234 http://deb.debian.org/debian bullseye/main armhf libsz2 armhf 1.0.4-1 [6616 B] Get: 235 http://deb.debian.org/debian bullseye/main armhf libaec-dev armhf 1.0.4-1 [18.3 kB] Get: 236 http://deb.debian.org/debian bullseye/main armhf libaom0 armhf 1.0.0.errata1-3 [821 kB] Get: 237 http://deb.debian.org/debian bullseye/main armhf libblas3 armhf 3.9.0-3 [109 kB] Get: 238 http://deb.debian.org/debian bullseye/main armhf libgfortran5 armhf 10.2.1-6 [237 kB] Get: 239 http://deb.debian.org/debian bullseye/main armhf liblapack3 armhf 3.9.0-3 [1651 kB] Get: 240 http://deb.debian.org/debian bullseye/main armhf libarpack2 armhf 3.8.0-1 [87.9 kB] Get: 241 http://deb.debian.org/debian bullseye/main armhf libsuperlu5 armhf 5.2.2+dfsg1-2 [136 kB] Get: 242 http://deb.debian.org/debian bullseye/main armhf libarmadillo10 armhf 1:10.1.2+dfsg-6 [95.9 kB] Get: 243 http://deb.debian.org/debian bullseye/main armhf libatk1.0-data all 2.36.0-2 [149 kB] Get: 244 http://deb.debian.org/debian bullseye/main armhf libatk1.0-0 armhf 2.36.0-2 [45.2 kB] Get: 245 http://deb.debian.org/debian bullseye/main armhf libatspi2.0-0 armhf 2.38.0-4 [63.1 kB] Get: 246 http://deb.debian.org/debian bullseye/main armhf libatk-bridge2.0-0 armhf 2.38.0-1 [56.9 kB] Get: 247 http://deb.debian.org/debian bullseye/main armhf libdrm-common all 2.4.104-1 [14.9 kB] Get: 248 http://deb.debian.org/debian bullseye/main armhf libdrm2 armhf 2.4.104-1 [37.7 kB] Get: 249 http://deb.debian.org/debian bullseye/main armhf libva2 armhf 2.10.0-1 [62.6 kB] Get: 250 http://deb.debian.org/debian bullseye/main armhf libva-drm2 armhf 2.10.0-1 [18.4 kB] Get: 251 http://deb.debian.org/debian bullseye/main armhf libxfixes3 armhf 1:5.0.3-2 [20.6 kB] Get: 252 http://deb.debian.org/debian bullseye/main armhf libva-x11-2 armhf 2.10.0-1 [21.8 kB] Get: 253 http://deb.debian.org/debian bullseye/main armhf libvdpau1 armhf 1.4-3 [27.4 kB] Get: 254 http://deb.debian.org/debian bullseye/main armhf ocl-icd-libopencl1 armhf 2.2.14-2 [39.7 kB] Get: 255 http://deb.debian.org/debian bullseye/main armhf libavutil56 armhf 7:4.3.2-0+deb11u2 [300 kB] Get: 256 http://deb.debian.org/debian bullseye/main armhf libcodec2-0.9 armhf 0.9.2-4 [7867 kB] Get: 257 http://deb.debian.org/debian bullseye/main armhf libdav1d4 armhf 0.7.1-3 [228 kB] Get: 258 http://deb.debian.org/debian bullseye/main armhf libgsm1 armhf 1.0.18-2 [26.5 kB] Get: 259 http://deb.debian.org/debian bullseye/main armhf libmp3lame0 armhf 3.100-3 [350 kB] Get: 260 http://deb.debian.org/debian bullseye/main armhf libopus0 armhf 1.3.1-0.1 [166 kB] Get: 261 http://deb.debian.org/debian bullseye/main armhf libcairo-gobject2 armhf 1.16.0-5 [125 kB] Get: 262 http://deb.debian.org/debian bullseye/main armhf librsvg2-2 armhf 2.50.3+dfsg-1 [2042 kB] Get: 263 http://deb.debian.org/debian bullseye/main armhf libshine3 armhf 3.1.1-2 [22.0 kB] Get: 264 http://deb.debian.org/debian bullseye/main armhf libsnappy1v5 armhf 1.1.8-1 [16.5 kB] Get: 265 http://deb.debian.org/debian bullseye/main armhf libspeex1 armhf 1.2~rc1.2-1.1 [51.6 kB] Get: 266 http://deb.debian.org/debian bullseye/main armhf libsoxr0 armhf 0.1.3-4 [67.0 kB] Get: 267 http://deb.debian.org/debian bullseye/main armhf libswresample3 armhf 7:4.3.2-0+deb11u2 [95.5 kB] Get: 268 http://deb.debian.org/debian bullseye/main armhf libogg0 armhf 1.3.4-0.1 [24.6 kB] Get: 269 http://deb.debian.org/debian bullseye/main armhf libtheora0 armhf 1.1.1+dfsg.1-15 [147 kB] Get: 270 http://deb.debian.org/debian bullseye/main armhf libtwolame0 armhf 0.4.0-2 [47.1 kB] Get: 271 http://deb.debian.org/debian bullseye/main armhf libvorbis0a armhf 1.3.7-1 [83.0 kB] Get: 272 http://deb.debian.org/debian bullseye/main armhf libvorbisenc2 armhf 1.3.7-1 [74.4 kB] Get: 273 http://deb.debian.org/debian bullseye/main armhf libvpx6 armhf 1.9.0-1 [1038 kB] Get: 274 http://deb.debian.org/debian bullseye/main armhf libwavpack1 armhf 5.4.0-1 [75.7 kB] Get: 275 http://deb.debian.org/debian bullseye/main armhf libwebpmux3 armhf 0.6.1-2.1 [94.2 kB] Get: 276 http://deb.debian.org/debian bullseye/main armhf libx264-160 armhf 2:0.160.3011+gitcde9a93-2.1 [426 kB] Get: 277 http://deb.debian.org/debian bullseye/main armhf libx265-192 armhf 3.4-2 [583 kB] Get: 278 http://deb.debian.org/debian bullseye/main armhf libxvidcore4 armhf 2:1.3.7-1 [203 kB] Get: 279 http://deb.debian.org/debian bullseye/main armhf libzvbi-common all 0.2.35-18 [64.6 kB] Get: 280 http://deb.debian.org/debian bullseye/main armhf libzvbi0 armhf 0.2.35-18 [245 kB] Get: 281 http://deb.debian.org/debian bullseye/main armhf libavcodec58 armhf 7:4.3.2-0+deb11u2 [4496 kB] Get: 282 http://deb.debian.org/debian bullseye/main armhf libavutil-dev armhf 7:4.3.2-0+deb11u2 [431 kB] Get: 283 http://deb.debian.org/debian bullseye/main armhf libswresample-dev armhf 7:4.3.2-0+deb11u2 [104 kB] Get: 284 http://deb.debian.org/debian bullseye/main armhf libavcodec-dev armhf 7:4.3.2-0+deb11u2 [5029 kB] Get: 285 http://deb.debian.org/debian bullseye/main armhf libudfread0 armhf 1.1.1-1 [14.3 kB] Get: 286 http://deb.debian.org/debian bullseye/main armhf libbluray2 armhf 1:1.2.1-4 [124 kB] Get: 287 http://deb.debian.org/debian bullseye/main armhf libchromaprint1 armhf 1.5.0-2 [33.4 kB] Get: 288 http://deb.debian.org/debian bullseye/main armhf libgme0 armhf 0.6.3-2 [108 kB] Get: 289 http://deb.debian.org/debian bullseye/main armhf libmpg123-0 armhf 1.26.4-1 [120 kB] Get: 290 http://deb.debian.org/debian bullseye/main armhf libvorbisfile3 armhf 1.3.7-1 [25.4 kB] Get: 291 http://deb.debian.org/debian bullseye/main armhf libopenmpt0 armhf 0.4.11-1 [544 kB] Get: 292 http://deb.debian.org/debian bullseye/main armhf librabbitmq4 armhf 0.10.0-1 [36.8 kB] Get: 293 http://deb.debian.org/debian bullseye/main armhf libsrt1.4-gnutls armhf 1.4.2-1.3 [240 kB] Get: 294 http://deb.debian.org/debian bullseye/main armhf libssh-gcrypt-4 armhf 0.9.5-1 [192 kB] Get: 295 http://deb.debian.org/debian bullseye/main armhf libnorm1 armhf 1.5.9+dfsg-2 [185 kB] Get: 296 http://deb.debian.org/debian bullseye/main armhf libpgm-5.3-0 armhf 5.3.128~dfsg-2 [156 kB] Get: 297 http://deb.debian.org/debian bullseye/main armhf libsodium23 armhf 1.0.18-1 [147 kB] Get: 298 http://deb.debian.org/debian bullseye/main armhf libzmq5 armhf 4.3.4-1 [237 kB] Get: 299 http://deb.debian.org/debian bullseye/main armhf libavformat58 armhf 7:4.3.2-0+deb11u2 [974 kB] Get: 300 http://deb.debian.org/debian bullseye/main armhf libavformat-dev armhf 7:4.3.2-0+deb11u2 [1208 kB] Get: 301 http://deb.debian.org/debian bullseye/main armhf libblas-dev armhf 3.9.0-3 [118 kB] Get: 302 http://deb.debian.org/debian bullseye/main armhf libboost1.74-dev armhf 1.74.0-9 [9534 kB] Get: 303 http://deb.debian.org/debian bullseye/main armhf libboost-atomic1.74.0 armhf 1.74.0-9 [244 kB] Get: 304 http://deb.debian.org/debian bullseye/main armhf libboost-atomic1.74-dev armhf 1.74.0-9 [245 kB] Get: 305 http://deb.debian.org/debian bullseye/main armhf libboost-chrono1.74.0 armhf 1.74.0-9 [248 kB] Get: 306 http://deb.debian.org/debian bullseye/main armhf libboost-chrono1.74-dev armhf 1.74.0-9 [255 kB] Get: 307 http://deb.debian.org/debian bullseye/main armhf libboost-date-time1.74.0 armhf 1.74.0-9 [241 kB] Get: 308 http://deb.debian.org/debian bullseye/main armhf libboost-serialization1.74.0 armhf 1.74.0-9 [321 kB] Get: 309 http://deb.debian.org/debian bullseye/main armhf libboost-serialization1.74-dev armhf 1.74.0-9 [394 kB] Get: 310 http://deb.debian.org/debian bullseye/main armhf libboost-date-time1.74-dev armhf 1.74.0-9 [250 kB] Get: 311 http://deb.debian.org/debian bullseye/main armhf libboost-dev armhf 1.74.0.3 [4548 B] Get: 312 http://deb.debian.org/debian bullseye/main armhf libboost-filesystem1.74.0 armhf 1.74.0-9 [275 kB] Get: 313 http://deb.debian.org/debian bullseye/main armhf libboost-system1.74.0 armhf 1.74.0-9 [242 kB] Get: 314 http://deb.debian.org/debian bullseye/main armhf libboost-system1.74-dev armhf 1.74.0-9 [243 kB] Get: 315 http://deb.debian.org/debian bullseye/main armhf libboost-filesystem1.74-dev armhf 1.74.0-9 [289 kB] Get: 316 http://deb.debian.org/debian bullseye/main armhf libboost-filesystem-dev armhf 1.74.0.3 [4368 B] Get: 317 http://deb.debian.org/debian bullseye/main armhf libboost-python1.74.0 armhf 1.74.0-9 [301 kB] Get: 318 http://deb.debian.org/debian bullseye/main armhf libpython3.9 armhf 3.9.2-1 [1447 kB] Get: 319 http://deb.debian.org/debian bullseye/main armhf libexpat1-dev armhf 2.2.10-2 [123 kB] Get: 320 http://deb.debian.org/debian bullseye/main armhf libpython3.9-dev armhf 3.9.2-1 [3160 kB] Get: 321 http://deb.debian.org/debian bullseye/main armhf libpython3-dev armhf 3.9.2-3 [21.7 kB] Get: 322 http://deb.debian.org/debian bullseye/main armhf zlib1g-dev armhf 1:1.2.11.dfsg-2 [185 kB] Get: 323 http://deb.debian.org/debian bullseye/main armhf python3.9-dev armhf 3.9.2-1 [515 kB] Get: 324 http://deb.debian.org/debian bullseye/main armhf libjs-underscore all 1.9.1~dfsg-3 [100 kB] Get: 325 http://deb.debian.org/debian bullseye/main armhf libjs-sphinxdoc all 3.4.3-2 [127 kB] Get: 326 http://deb.debian.org/debian bullseye/main armhf python3-dev armhf 3.9.2-3 [24.8 kB] Get: 327 http://deb.debian.org/debian bullseye/main armhf libboost-python1.74-dev armhf 1.74.0-9 [330 kB] Get: 328 http://deb.debian.org/debian bullseye/main armhf libboost-python-dev armhf 1.74.0.3 [4632 B] Get: 329 http://deb.debian.org/debian bullseye/main armhf libboost-system-dev armhf 1.74.0.3 [4468 B] Get: 330 http://deb.debian.org/debian bullseye/main armhf libboost-thread1.74.0 armhf 1.74.0-9 [271 kB] Get: 331 http://deb.debian.org/debian bullseye/main armhf libboost-thread1.74-dev armhf 1.74.0-9 [286 kB] Get: 332 http://deb.debian.org/debian bullseye/main armhf libboost-thread-dev armhf 1.74.0.3 [4356 B] Get: 333 http://deb.debian.org/debian bullseye/main armhf libcap2-bin armhf 1:2.44-1 [31.7 kB] Get: 334 http://deb.debian.org/debian bullseye/main armhf libcurl3-gnutls armhf 7.74.0-1.3+b1 [306 kB] Get: 335 http://deb.debian.org/debian bullseye/main armhf libcfitsio9 armhf 3.490-3 [504 kB] Get: 336 http://deb.debian.org/debian bullseye/main armhf libcharls2 armhf 2.2.0+dfsg-2 [70.1 kB] Get: 337 http://deb.debian.org/debian bullseye/main armhf libcolord2 armhf 1.4.5-3 [126 kB] Get: 338 http://deb.debian.org/debian bullseye/main armhf libdap27 armhf 3.20.7-6 [505 kB] Get: 339 http://deb.debian.org/debian bullseye/main armhf libdapclient6v5 armhf 3.20.7-6 [200 kB] Get: 340 http://deb.debian.org/debian bullseye/main armhf libraw1394-11 armhf 2.1.2-2 [37.7 kB] Get: 341 http://deb.debian.org/debian bullseye/main armhf libusb-1.0-0 armhf 2:1.0.24-3 [54.6 kB] Get: 342 http://deb.debian.org/debian bullseye/main armhf libdc1394-25 armhf 2.2.6-3 [100 kB] Get: 343 http://deb.debian.org/debian bullseye/main armhf libraw1394-dev armhf 2.1.2-2 [50.5 kB] Get: 344 http://deb.debian.org/debian bullseye/main armhf libdc1394-dev armhf 2.2.6-3 [130 kB] Get: 345 http://deb.debian.org/debian bullseye/main armhf libde265-0 armhf 1.0.8-1 [189 kB] Get: 346 http://deb.debian.org/debian bullseye/main armhf libdeflate-dev armhf 1.7-1 [39.9 kB] Get: 347 http://deb.debian.org/debian bullseye/main armhf libdouble-conversion3 armhf 3.1.5-6.1 [39.0 kB] Get: 348 http://deb.debian.org/debian bullseye/main armhf libdrm-amdgpu1 armhf 2.4.104-1 [27.1 kB] Get: 349 http://deb.debian.org/debian bullseye/main armhf libdrm-nouveau2 armhf 2.4.104-1 [24.6 kB] Get: 350 http://deb.debian.org/debian bullseye/main armhf libdrm-radeon1 armhf 2.4.104-1 [27.6 kB] Get: 351 http://deb.debian.org/debian bullseye/main armhf libdw1 armhf 0.183-1 [216 kB] Get: 352 http://deb.debian.org/debian bullseye/main armhf libepoxy0 armhf 1.5.5-1 [170 kB] Get: 353 http://deb.debian.org/debian bullseye/main armhf libepsilon1 armhf 0.9.2+dfsg-5 [36.5 kB] Get: 354 http://deb.debian.org/debian bullseye/main armhf libexif12 armhf 0.6.22-3 [364 kB] Get: 355 http://deb.debian.org/debian bullseye/main armhf libexif-dev armhf 0.6.22-3 [91.7 kB] Get: 356 http://deb.debian.org/debian bullseye/main armhf libfreexl1 armhf 1.0.6-1 [31.4 kB] Get: 357 http://deb.debian.org/debian bullseye/main armhf libfyba0 armhf 4.1.1-7 [101 kB] Get: 358 http://deb.debian.org/debian bullseye/main armhf libgeos-3.9.0 armhf 3.9.0-1 [841 kB] Get: 359 http://deb.debian.org/debian bullseye/main armhf libgeos-c1v5 armhf 3.9.0-1 [368 kB] Get: 360 http://deb.debian.org/debian bullseye/main armhf proj-data all 7.2.1-1 [7940 kB] Get: 361 http://deb.debian.org/debian bullseye/main armhf libproj19 armhf 7.2.1-1 [970 kB] Get: 362 http://deb.debian.org/debian bullseye/main armhf libgeotiff5 armhf 1.6.0-1 [62.3 kB] Get: 363 http://deb.debian.org/debian bullseye/main armhf libgif7 armhf 5.1.9-2 [42.7 kB] Get: 364 http://deb.debian.org/debian bullseye/main armhf libhdf4-0-alt armhf 4.2.15-3 [244 kB] Get: 365 http://deb.debian.org/debian bullseye/main armhf libhdf5-103-1 armhf 1.10.6+repack-4 [1178 kB] Get: 366 http://deb.debian.org/debian bullseye/main armhf libheif1 armhf 1.11.0-1 [166 kB] Get: 367 http://deb.debian.org/debian bullseye/main armhf libminizip1 armhf 1.1-8+b1 [19.0 kB] Get: 368 http://deb.debian.org/debian bullseye/main armhf liburiparser1 armhf 0.9.4+dfsg-1 [36.7 kB] Get: 369 http://deb.debian.org/debian bullseye/main armhf libkmlbase1 armhf 1.3.0-9 [44.4 kB] Get: 370 http://deb.debian.org/debian bullseye/main armhf libkmldom1 armhf 1.3.0-9 [131 kB] Get: 371 http://deb.debian.org/debian bullseye/main armhf libkmlengine1 armhf 1.3.0-9 [67.0 kB] Get: 372 http://deb.debian.org/debian bullseye/main armhf mysql-common all 5.8+1.0.7 [7464 B] Get: 373 http://deb.debian.org/debian bullseye/main armhf mariadb-common all 1:10.5.11-1 [36.3 kB] Get: 374 http://deb.debian.org/debian bullseye/main armhf libmariadb3 armhf 1:10.5.11-1 [161 kB] Get: 375 http://deb.debian.org/debian bullseye/main armhf libhdf5-hl-100 armhf 1.10.6+repack-4 [80.5 kB] Get: 376 http://deb.debian.org/debian bullseye/main armhf libnetcdf18 armhf 1:4.7.4-1 [355 kB] Get: 377 http://deb.debian.org/debian bullseye/main armhf libodbc1 armhf 2.3.6-0.1+b1 [191 kB] Get: 378 http://deb.debian.org/debian bullseye/main armhf libogdi4.1 armhf 4.1.0+ds-5 [176 kB] Get: 379 http://deb.debian.org/debian bullseye/main armhf libnspr4 armhf 2:4.29-1 [90.7 kB] Get: 380 http://deb.debian.org/debian bullseye/main armhf libnss3 armhf 2:3.61-1 [1114 kB] Get: 381 http://deb.debian.org/debian bullseye/main armhf libpoppler102 armhf 20.09.0-3.1 [1541 kB] Get: 382 http://deb.debian.org/debian bullseye/main armhf libpq5 armhf 13.3-1 [161 kB] Get: 383 http://deb.debian.org/debian bullseye/main armhf libqhull8.0 armhf 2020.2-3 [225 kB] Get: 384 http://deb.debian.org/debian bullseye/main armhf librttopo1 armhf 1.1.0-2 [148 kB] Get: 385 http://deb.debian.org/debian bullseye/main armhf libspatialite7 armhf 5.0.1-2 [1719 kB] Get: 386 http://deb.debian.org/debian bullseye/main armhf libxerces-c3.2 armhf 3.2.3+debian-3 [731 kB] Get: 387 http://deb.debian.org/debian bullseye/main armhf odbcinst armhf 2.3.6-0.1+b1 [47.9 kB] Get: 388 http://deb.debian.org/debian bullseye/main armhf odbcinst1debian2 armhf 2.3.6-0.1+b1 [71.3 kB] Get: 389 http://deb.debian.org/debian bullseye/main armhf libgdal28 armhf 3.2.2+dfsg-2 [6239 kB] Get: 390 http://deb.debian.org/debian bullseye/main armhf libsocket++1 armhf 1.12.13-11 [68.3 kB] Get: 391 http://deb.debian.org/debian bullseye/main armhf libgdcm3.0 armhf 3.0.8-2 [1630 kB] Get: 392 http://deb.debian.org/debian bullseye/main armhf libgdcm-dev armhf 3.0.8-2 [269 kB] Get: 393 http://deb.debian.org/debian bullseye/main armhf libgflags2.2 armhf 2.2.2-2 [66.4 kB] Get: 394 http://deb.debian.org/debian bullseye/main armhf libgflags-dev armhf 2.2.2-2 [88.6 kB] Get: 395 http://deb.debian.org/debian bullseye/main armhf libglapi-mesa armhf 20.3.5-1 [80.2 kB] Get: 396 http://deb.debian.org/debian bullseye/main armhf libsensors-config all 1:3.6.0-7 [32.3 kB] Get: 397 http://deb.debian.org/debian bullseye/main armhf libsensors5 armhf 1:3.6.0-7 [49.6 kB] Get: 398 http://deb.debian.org/debian bullseye/main armhf libvulkan1 armhf 1.2.162.0-1 [84.3 kB] Get: 399 http://deb.debian.org/debian bullseye/main armhf libgl1-mesa-dri armhf 20.3.5-1 [6037 kB] Get: 400 http://deb.debian.org/debian bullseye/main armhf libglvnd0 armhf 1.3.2-1 [51.8 kB] Get: 401 http://deb.debian.org/debian bullseye/main armhf libx11-xcb1 armhf 2:1.7.2-1 [203 kB] Get: 402 http://deb.debian.org/debian bullseye/main armhf libxcb-dri2-0 armhf 1.14-3 [103 kB] Get: 403 http://deb.debian.org/debian bullseye/main armhf libxcb-dri3-0 armhf 1.14-3 [102 kB] Get: 404 http://deb.debian.org/debian bullseye/main armhf libxcb-glx0 armhf 1.14-3 [116 kB] Get: 405 http://deb.debian.org/debian bullseye/main armhf libxcb-present0 armhf 1.14-3 [101 kB] Get: 406 http://deb.debian.org/debian bullseye/main armhf libxcb-sync1 armhf 1.14-3 [104 kB] Get: 407 http://deb.debian.org/debian bullseye/main armhf libxcb-xfixes0 armhf 1.14-3 [105 kB] Get: 408 http://deb.debian.org/debian bullseye/main armhf libxdamage1 armhf 1:1.1.5-2 [15.1 kB] Get: 409 http://deb.debian.org/debian bullseye/main armhf libxshmfence1 armhf 1.3-1 [8592 B] Get: 410 http://deb.debian.org/debian bullseye/main armhf libxxf86vm1 armhf 1:1.1.4-1+b2 [20.2 kB] Get: 411 http://deb.debian.org/debian bullseye/main armhf libglx-mesa0 armhf 20.3.5-1 [167 kB] Get: 412 http://deb.debian.org/debian bullseye/main armhf libglx0 armhf 1.3.2-1 [32.8 kB] Get: 413 http://deb.debian.org/debian bullseye/main armhf libgl1 armhf 1.3.2-1 [94.3 kB] Get: 414 http://deb.debian.org/debian bullseye/main armhf libgl2ps1.4 armhf 1.4.2+dfsg1-1 [35.1 kB] Get: 415 http://deb.debian.org/debian bullseye/main armhf libglew2.1 armhf 2.1.0-4+b1 [162 kB] Get: 416 http://deb.debian.org/debian bullseye/main armhf libgoogle-glog0v5 armhf 0.4.0-4 [50.1 kB] Get: 417 http://deb.debian.org/debian bullseye/main armhf libgoogle-glog-dev armhf 0.4.0-4 [81.4 kB] Get: 418 http://deb.debian.org/debian bullseye/main armhf libgphoto2-port12 armhf 2.5.27-1 [145 kB] Get: 419 http://deb.debian.org/debian bullseye/main armhf libgphoto2-6 armhf 2.5.27-1 [695 kB] Get: 420 http://deb.debian.org/debian bullseye/main armhf pkg-config armhf 0.29.2-1 [62.4 kB] Get: 421 http://deb.debian.org/debian bullseye/main armhf libgphoto2-dev armhf 2.5.27-1 [107 kB] Get: 422 http://deb.debian.org/debian bullseye/main armhf libunwind8 armhf 1.3.2-2 [48.0 kB] Get: 423 http://deb.debian.org/debian bullseye/main armhf libgstreamer1.0-0 armhf 1.18.4-2.1 [2152 kB] Get: 424 http://deb.debian.org/debian bullseye/main armhf liborc-0.4-0 armhf 1:0.4.32-1 [157 kB] Get: 425 http://deb.debian.org/debian bullseye/main armhf libgstreamer-plugins-base1.0-0 armhf 1.18.4-2 [2076 kB] Get: 426 http://deb.debian.org/debian bullseye/main armhf libjson-glib-1.0-common all 1.6.2-1 [56.9 kB] Get: 427 http://deb.debian.org/debian bullseye/main armhf libjson-glib-1.0-0 armhf 1.6.2-1 [58.0 kB] Get: 428 http://deb.debian.org/debian bullseye/main armhf libsoup2.4-1 armhf 2.72.0-2 [246 kB] Get: 429 http://deb.debian.org/debian bullseye/main armhf libsoup-gnome2.4-1 armhf 2.72.0-2 [21.7 kB] Get: 430 http://deb.debian.org/debian bullseye/main armhf librest-0.7-0 armhf 0.8.1-1.1 [28.7 kB] Get: 431 http://deb.debian.org/debian bullseye/main armhf libwayland-client0 armhf 1.18.0-2~exp1.1 [22.1 kB] Get: 432 http://deb.debian.org/debian bullseye/main armhf libwayland-cursor0 armhf 1.18.0-2~exp1.1 [13.5 kB] Get: 433 http://deb.debian.org/debian bullseye/main armhf libwayland-egl1 armhf 1.18.0-2~exp1.1 [8192 B] Get: 434 http://deb.debian.org/debian bullseye/main armhf libxcomposite1 armhf 1:0.4.5-1 [16.1 kB] Get: 435 http://deb.debian.org/debian bullseye/main armhf libxcursor1 armhf 1:1.2.0-2 [34.2 kB] Get: 436 http://deb.debian.org/debian bullseye/main armhf libxinerama1 armhf 2:1.1.4-2 [17.3 kB] Get: 437 http://deb.debian.org/debian bullseye/main armhf xkb-data all 2.29-2 [655 kB] Get: 438 http://deb.debian.org/debian bullseye/main armhf libxkbcommon0 armhf 1.0.3-2 [89.8 kB] Get: 439 http://deb.debian.org/debian bullseye/main armhf libxrandr2 armhf 2:1.5.1-1 [34.9 kB] Get: 440 http://deb.debian.org/debian bullseye/main armhf libgtk-3-common all 3.24.24-4 [3757 kB] Get: 441 http://deb.debian.org/debian bullseye/main armhf libgtk-3-0 armhf 3.24.24-4 [2338 kB] Get: 442 http://deb.debian.org/debian bullseye/main armhf libhdf5-cpp-103-1 armhf 1.10.6+repack-4 [133 kB] Get: 443 http://deb.debian.org/debian bullseye/main armhf libhdf5-fortran-102 armhf 1.10.6+repack-4 [94.0 kB] Get: 444 http://deb.debian.org/debian bullseye/main armhf libhdf5-hl-fortran-100 armhf 1.10.6+repack-4 [51.2 kB] Get: 445 http://deb.debian.org/debian bullseye/main armhf libhdf5-hl-cpp-100 armhf 1.10.6+repack-4 [37.4 kB] Get: 446 http://deb.debian.org/debian bullseye/main armhf libjpeg62-turbo-dev armhf 1:2.0.6-4 [242 kB] Get: 447 http://deb.debian.org/debian bullseye/main armhf libjpeg-dev armhf 1:2.0.6-4 [67.8 kB] Get: 448 http://deb.debian.org/debian bullseye/main armhf libhdf5-dev armhf 1.10.6+repack-4 [2444 kB] Get: 449 http://deb.debian.org/debian bullseye/main armhf libilmbase25 armhf 2.5.4-1 [195 kB] Get: 450 http://deb.debian.org/debian bullseye/main armhf libilmbase-dev armhf 2.5.4-1 [160 kB] Get: 451 http://deb.debian.org/debian bullseye/main armhf libimagequant0 armhf 2.12.2-1.1 [27.2 kB] Get: 452 http://deb.debian.org/debian bullseye/main armhf libjbig-dev armhf 2.1-3.1+b2 [28.5 kB] Get: 453 http://deb.debian.org/debian bullseye/main armhf libjs-jquery-ui all 1.12.1+dfsg-8 [232 kB] Get: 454 http://deb.debian.org/debian bullseye/main armhf liblbfgsb0 armhf 3.0+dfsg.3-9 [24.9 kB] Get: 455 http://deb.debian.org/debian bullseye/main armhf liblept5 armhf 1.79.0-1.1 [924 kB] Get: 456 http://deb.debian.org/debian bullseye/main armhf libleveldb1d armhf 1.22-3 [126 kB] Get: 457 http://deb.debian.org/debian bullseye/main armhf libleveldb-dev armhf 1.22-3 [187 kB] Get: 458 http://deb.debian.org/debian bullseye/main armhf liblmdb0 armhf 0.9.24-1 [38.7 kB] Get: 459 http://deb.debian.org/debian bullseye/main armhf liblmdb-dev armhf 0.9.24-1 [55.7 kB] Get: 460 http://deb.debian.org/debian bullseye/main armhf liblzf1 armhf 3.6-3 [9248 B] Get: 461 http://deb.debian.org/debian bullseye/main armhf liblzma-dev armhf 5.2.5-2 [220 kB] Get: 462 http://deb.debian.org/debian bullseye/main armhf libtbb2 armhf 2020.3-1 [118 kB] Get: 463 http://deb.debian.org/debian bullseye/main armhf libopencv-core4.5 armhf 4.5.1+dfsg-5 [754 kB] Get: 464 http://deb.debian.org/debian bullseye/main armhf libopencv-flann4.5 armhf 4.5.1+dfsg-5 [109 kB] Get: 465 http://deb.debian.org/debian bullseye/main armhf libopencv-imgproc4.5 armhf 4.5.1+dfsg-5 [737 kB] Get: 466 http://deb.debian.org/debian bullseye/main armhf libopencv-features2d4.5 armhf 4.5.1+dfsg-5 [203 kB] Get: 467 http://deb.debian.org/debian bullseye/main armhf libopencv-calib3d4.5 armhf 4.5.1+dfsg-5 [549 kB] Get: 468 http://deb.debian.org/debian bullseye/main armhf libtbb-dev armhf 2020.3-1 [313 kB] Get: 469 http://deb.debian.org/debian bullseye/main armhf libopencv-core-dev armhf 4.5.1+dfsg-5 [1506 kB] Get: 470 http://deb.debian.org/debian bullseye/main armhf libopencv-flann-dev armhf 4.5.1+dfsg-5 [214 kB] Get: 471 http://deb.debian.org/debian bullseye/main armhf libopenexr25 armhf 2.5.4-2 [608 kB] Get: 472 http://deb.debian.org/debian bullseye/main armhf libopencv-imgcodecs4.5 armhf 4.5.1+dfsg-5 [114 kB] Get: 473 http://deb.debian.org/debian bullseye/main armhf libopencv-highgui4.5 armhf 4.5.1+dfsg-5 [47.0 kB] Get: 474 http://deb.debian.org/debian bullseye/main armhf libopencv-imgproc-dev armhf 4.5.1+dfsg-5 [1063 kB] Get: 475 http://deb.debian.org/debian bullseye/main armhf libopencv-imgcodecs-dev armhf 4.5.1+dfsg-5 [192 kB] Get: 476 http://deb.debian.org/debian bullseye/main armhf libswscale5 armhf 7:4.3.2-0+deb11u2 [171 kB] Get: 477 http://deb.debian.org/debian bullseye/main armhf libopencv-videoio4.5 armhf 4.5.1+dfsg-5 [166 kB] Get: 478 http://deb.debian.org/debian bullseye/main armhf libopencv-videoio-dev armhf 4.5.1+dfsg-5 [250 kB] Get: 479 http://deb.debian.org/debian bullseye/main armhf libopenexr-dev armhf 2.5.4-2 [159 kB] Get: 480 http://deb.debian.org/debian bullseye/main armhf libpng-dev armhf 1.6.37-3 [282 kB] Get: 481 http://deb.debian.org/debian bullseye/main armhf libswscale-dev armhf 7:4.3.2-0+deb11u2 [185 kB] Get: 482 http://deb.debian.org/debian bullseye/main armhf libtiffxx5 armhf 4.2.0-1 [128 kB] Get: 483 http://deb.debian.org/debian bullseye/main armhf libtiff-dev armhf 4.2.0-1 [397 kB] Get: 484 http://deb.debian.org/debian bullseye/main armhf libopencv-highgui-dev armhf 4.5.1+dfsg-5 [67.5 kB] Get: 485 http://deb.debian.org/debian bullseye/main armhf libopencv-ml4.5 armhf 4.5.1+dfsg-5 [179 kB] Get: 486 http://deb.debian.org/debian bullseye/main armhf libopencv-ml-dev armhf 4.5.1+dfsg-5 [282 kB] Get: 487 http://deb.debian.org/debian bullseye/main armhf libopencv-features2d-dev armhf 4.5.1+dfsg-5 [299 kB] Get: 488 http://deb.debian.org/debian bullseye/main armhf libopencv-calib3d-dev armhf 4.5.1+dfsg-5 [862 kB] Get: 489 http://deb.debian.org/debian bullseye/main armhf libprotobuf23 armhf 3.12.4-1 [777 kB] Get: 490 http://deb.debian.org/debian bullseye/main armhf libopencv-dnn4.5 armhf 4.5.1+dfsg-5 [767 kB] Get: 491 http://deb.debian.org/debian bullseye/main armhf libopencv-objdetect4.5 armhf 4.5.1+dfsg-5 [150 kB] Get: 492 http://deb.debian.org/debian bullseye/main armhf libopencv-video4.5 armhf 4.5.1+dfsg-5 [150 kB] Get: 493 http://deb.debian.org/debian bullseye/main armhf libtesseract4 armhf 4.1.1-2.1 [1107 kB] Get: 494 http://deb.debian.org/debian bullseye/main armhf libopencv-contrib4.5 armhf 4.5.1+dfsg-5 [2911 kB] Get: 495 http://deb.debian.org/debian bullseye/main armhf libopencv-dnn-dev armhf 4.5.1+dfsg-5 [1342 kB] Get: 496 http://deb.debian.org/debian bullseye/main armhf libopencv-objdetect-dev armhf 4.5.1+dfsg-5 [220 kB] Get: 497 http://deb.debian.org/debian bullseye/main armhf libopencv-photo4.5 armhf 4.5.1+dfsg-5 [154 kB] Get: 498 http://deb.debian.org/debian bullseye/main armhf libopencv-photo-dev armhf 4.5.1+dfsg-5 [211 kB] Get: 499 http://deb.debian.org/debian bullseye/main armhf libopencv-shape4.5 armhf 4.5.1+dfsg-5 [57.9 kB] Get: 500 http://deb.debian.org/debian bullseye/main armhf libopencv-video-dev armhf 4.5.1+dfsg-5 [219 kB] Get: 501 http://deb.debian.org/debian bullseye/main armhf libopencv-shape-dev armhf 4.5.1+dfsg-5 [81.7 kB] Get: 502 http://deb.debian.org/debian bullseye/main armhf libopencv-stitching4.5 armhf 4.5.1+dfsg-5 [170 kB] Get: 503 http://deb.debian.org/debian bullseye/main armhf libopencv-stitching-dev armhf 4.5.1+dfsg-5 [253 kB] Get: 504 http://deb.debian.org/debian bullseye/main armhf libopencv-superres4.5 armhf 4.5.1+dfsg-5 [53.7 kB] Get: 505 http://deb.debian.org/debian bullseye/main armhf libopencv-superres-dev armhf 4.5.1+dfsg-5 [73.0 kB] Get: 506 http://deb.debian.org/debian bullseye/main armhf libopencv-videostab4.5 armhf 4.5.1+dfsg-5 [79.3 kB] Get: 507 http://deb.debian.org/debian bullseye/main armhf libopencv-videostab-dev armhf 4.5.1+dfsg-5 [118 kB] Get: 508 http://deb.debian.org/debian bullseye/main armhf libopengl0 armhf 1.3.2-1 [32.7 kB] Get: 509 http://deb.debian.org/debian bullseye/main armhf libtcl8.6 armhf 8.6.11+dfsg-1 [913 kB] Get: 510 http://deb.debian.org/debian bullseye/main armhf libxft2 armhf 2.3.2-2 [50.1 kB] Get: 511 http://deb.debian.org/debian bullseye/main armhf libxss1 armhf 1:1.2.3-1 [17.2 kB] Get: 512 http://deb.debian.org/debian bullseye/main armhf libtk8.6 armhf 8.6.11-2 [693 kB] Get: 513 http://deb.debian.org/debian bullseye/main armhf libvtk9 armhf 9.0.1+dfsg1-8 [11.7 MB] Get: 514 http://deb.debian.org/debian bullseye/main armhf libopencv-viz4.5 armhf 4.5.1+dfsg-5 [119 kB] Get: 515 http://deb.debian.org/debian bullseye/main armhf libopencv-viz-dev armhf 4.5.1+dfsg-5 [190 kB] Get: 516 http://deb.debian.org/debian bullseye/main armhf libopencv-contrib-dev armhf 4.5.1+dfsg-5 [4148 kB] Get: 517 http://deb.debian.org/debian bullseye/main armhf libopencv-dev armhf 4.5.1+dfsg-5 [94.9 kB] Get: 518 http://deb.debian.org/debian bullseye/main armhf libprotobuf-lite23 armhf 3.12.4-1 [217 kB] Get: 519 http://deb.debian.org/debian bullseye/main armhf libprotobuf-dev armhf 3.12.4-1 [1192 kB] Get: 520 http://deb.debian.org/debian bullseye/main armhf libprotoc23 armhf 3.12.4-1 [704 kB] Get: 521 http://deb.debian.org/debian bullseye/main armhf libprotoc-dev armhf 3.12.4-1 [865 kB] Get: 522 http://deb.debian.org/debian bullseye/main armhf libsnappy-dev armhf 1.1.8-1 [30.4 kB] Get: 523 http://deb.debian.org/debian bullseye/main armhf libwebpdemux2 armhf 0.6.1-2.1 [86.7 kB] Get: 524 http://deb.debian.org/debian bullseye/main armhf libyaml-0-2 armhf 0.2.2-1 [42.0 kB] Get: 525 http://deb.debian.org/debian bullseye/main armhf protobuf-compiler armhf 3.12.4-1 [74.7 kB] Get: 526 http://deb.debian.org/debian bullseye/main armhf python-matplotlib-data all 3.3.4-1 [4153 kB] Get: 527 http://deb.debian.org/debian bullseye/main armhf python3-six all 1.16.0-2 [17.5 kB] Get: 528 http://deb.debian.org/debian bullseye/main armhf python3-cycler all 0.10.0-3 [8084 B] Get: 529 http://deb.debian.org/debian bullseye/main armhf python3-dateutil all 2.8.1-6 [79.2 kB] Get: 530 http://deb.debian.org/debian bullseye/main armhf python3-gflags all 1.5.1-7 [36.2 kB] Get: 531 http://deb.debian.org/debian bullseye/main armhf python3-numpy armhf 1:1.19.5-1 [2981 kB] Get: 532 http://deb.debian.org/debian bullseye/main armhf python3-h5py-serial armhf 2.10.0-9+b2 [598 kB] Get: 533 http://deb.debian.org/debian bullseye/main armhf python3-h5py all 2.10.0-9 [11.4 kB] Get: 534 http://deb.debian.org/debian bullseye/main armhf python3-pil armhf 8.1.2+dfsg-0.3 [413 kB] Get: 535 http://deb.debian.org/debian bullseye/main armhf python3-imageio all 2.4.1-3 [3137 kB] Get: 536 http://deb.debian.org/debian bullseye/main armhf python3-kiwisolver armhf 1.3.1-1+b1 [46.7 kB] Get: 537 http://deb.debian.org/debian bullseye/main armhf python3-pyparsing all 2.4.7-1 [109 kB] Get: 538 http://deb.debian.org/debian bullseye/main armhf python3-matplotlib armhf 3.3.4-1 [4111 kB] Get: 539 http://deb.debian.org/debian bullseye/main armhf python3-networkx all 2.5+ds-2 [900 kB] Get: 540 http://deb.debian.org/debian bullseye/main armhf python3-nose all 1.3.7-7 [133 kB] Get: 541 http://deb.debian.org/debian bullseye/main armhf python3-tz all 2021.1-1 [34.8 kB] Get: 542 http://deb.debian.org/debian bullseye/main armhf python3-pandas-lib armhf 1.1.5+dfsg-2 [3026 kB] Get: 543 http://deb.debian.org/debian bullseye/main armhf python3-pandas all 1.1.5+dfsg-2 [2096 kB] Get: 544 http://deb.debian.org/debian bullseye/main armhf python3-protobuf armhf 3.12.4-1 [371 kB] Get: 545 http://deb.debian.org/debian bullseye/main armhf python3-pydotplus all 2.0.2-3 [20.5 kB] Get: 546 http://deb.debian.org/debian bullseye/main armhf python3-pywt armhf 1.1.1-1+b2 [931 kB] Get: 547 http://deb.debian.org/debian bullseye/main armhf python3-scipy armhf 1.6.0-2 [11.3 MB] Get: 548 http://deb.debian.org/debian bullseye/main armhf python3-skimage-lib armhf 0.18.1-2 [1677 kB] Get: 549 http://deb.debian.org/debian bullseye/main armhf python3-tifffile all 20210201-1 [134 kB] Get: 550 http://deb.debian.org/debian bullseye/main armhf python3-skimage all 0.18.1-2 [20.6 MB] Get: 551 http://deb.debian.org/debian bullseye/main armhf python3-yaml armhf 5.3.1-5 [129 kB] Fetched 526 MB in 1min 1s (8593 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 ... 19398 files and directories currently installed.) Preparing to unpack .../00-libapparmor1_2.13.6-10_armhf.deb ... Unpacking libapparmor1:armhf (2.13.6-10) ... Selecting previously unselected package libcap2:armhf. Preparing to unpack .../01-libcap2_1%3a2.44-1_armhf.deb ... Unpacking libcap2:armhf (1:2.44-1) ... 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%3a1.02.175-2.1_armhf.deb ... Unpacking dmsetup (2:1.02.175-2.1) ... Selecting previously unselected package libdevmapper1.02.1:armhf. Preparing to unpack .../04-libdevmapper1.02.1_2%3a1.02.175-2.1_armhf.deb ... Unpacking libdevmapper1.02.1:armhf (2:1.02.175-2.1) ... Selecting previously unselected package libjson-c5:armhf. Preparing to unpack .../05-libjson-c5_0.15-2_armhf.deb ... Unpacking libjson-c5:armhf (0.15-2) ... Selecting previously unselected package libcryptsetup12:armhf. Preparing to unpack .../06-libcryptsetup12_2%3a2.3.5-1_armhf.deb ... Unpacking libcryptsetup12:armhf (2:2.3.5-1) ... Selecting previously unselected package libip4tc2:armhf. Preparing to unpack .../07-libip4tc2_1.8.7-1_armhf.deb ... Unpacking libip4tc2:armhf (1.8.7-1) ... Selecting previously unselected package libkmod2:armhf. Preparing to unpack .../08-libkmod2_28-1_armhf.deb ... Unpacking libkmod2:armhf (28-1) ... Selecting previously unselected package systemd-timesyncd. Preparing to unpack .../09-systemd-timesyncd_247.3-6_armhf.deb ... Unpacking systemd-timesyncd (247.3-6) ... Selecting previously unselected package systemd. Preparing to unpack .../10-systemd_247.3-6_armhf.deb ... Unpacking systemd (247.3-6) ... Setting up libapparmor1:armhf (2.13.6-10) ... Setting up libcap2:armhf (1:2.44-1) ... Setting up libargon2-1:armhf (0~20171227-0.2) ... Setting up libjson-c5:armhf (0.15-2) ... Setting up libip4tc2:armhf (1.8.7-1) ... Setting up libkmod2:armhf (28-1) ... Setting up libdevmapper1.02.1:armhf (2:1.02.175-2.1) ... Setting up libcryptsetup12:armhf (2:2.3.5-1) ... Setting up systemd-timesyncd (247.3-6) ... Created symlink /etc/systemd/system/dbus-org.freedesktop.timesync1.service -> /lib/systemd/system/systemd-timesyncd.service. Created symlink /etc/systemd/system/sysinit.target.wants/systemd-timesyncd.service -> /lib/systemd/system/systemd-timesyncd.service. Setting up systemd (247.3-6) ... Created symlink /etc/systemd/system/getty.target.wants/getty@tty1.service -> /lib/systemd/system/getty@.service. Created symlink /etc/systemd/system/multi-user.target.wants/remote-fs.target -> /lib/systemd/system/remote-fs.target. Created symlink /etc/systemd/system/sysinit.target.wants/systemd-pstore.service -> /lib/systemd/system/systemd-pstore.service. Initializing machine ID from random generator. Setting up dmsetup (2:1.02.175-2.1) ... Selecting previously unselected package systemd-sysv. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20268 files and directories currently installed.) Preparing to unpack .../00-systemd-sysv_247.3-6_armhf.deb ... Unpacking systemd-sysv (247.3-6) ... Selecting previously unselected package libdbus-1-3:armhf. Preparing to unpack .../01-libdbus-1-3_1.12.20-2_armhf.deb ... Unpacking libdbus-1-3:armhf (1.12.20-2) ... Selecting previously unselected package libexpat1:armhf. Preparing to unpack .../02-libexpat1_2.2.10-2_armhf.deb ... Unpacking libexpat1:armhf (2.2.10-2) ... Selecting previously unselected package dbus. Preparing to unpack .../03-dbus_1.12.20-2_armhf.deb ... Unpacking dbus (1.12.20-2) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../04-bsdextrautils_2.36.1-8_armhf.deb ... Unpacking bsdextrautils (2.36.1-8) ... Selecting previously unselected package libuchardet0:armhf. Preparing to unpack .../05-libuchardet0_0.0.7-1_armhf.deb ... Unpacking libuchardet0:armhf (0.0.7-1) ... Selecting previously unselected package groff-base. Preparing to unpack .../06-groff-base_1.22.4-6_armhf.deb ... Unpacking groff-base (1.22.4-6) ... Selecting previously unselected package libpipeline1:armhf. Preparing to unpack .../07-libpipeline1_1.5.3-1_armhf.deb ... Unpacking libpipeline1:armhf (1.5.3-1) ... Selecting previously unselected package man-db. Preparing to unpack .../08-man-db_2.9.4-2_armhf.deb ... Unpacking man-db (2.9.4-2) ... Selecting previously unselected package poppler-data. Preparing to unpack .../09-poppler-data_0.4.10-1_all.deb ... Unpacking poppler-data (0.4.10-1) ... Selecting previously unselected package libpython3.9-minimal:armhf. Preparing to unpack .../10-libpython3.9-minimal_3.9.2-1_armhf.deb ... Unpacking libpython3.9-minimal:armhf (3.9.2-1) ... Selecting previously unselected package python3.9-minimal. Preparing to unpack .../11-python3.9-minimal_3.9.2-1_armhf.deb ... Unpacking python3.9-minimal (3.9.2-1) ... Setting up libpython3.9-minimal:armhf (3.9.2-1) ... Setting up libexpat1:armhf (2.2.10-2) ... Setting up python3.9-minimal (3.9.2-1) ... Selecting previously unselected package python3-minimal. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 21736 files and directories currently installed.) Preparing to unpack .../0-python3-minimal_3.9.2-3_armhf.deb ... Unpacking python3-minimal (3.9.2-3) ... Selecting previously unselected package media-types. Preparing to unpack .../1-media-types_4.0.0_all.deb ... Unpacking media-types (4.0.0) ... Selecting previously unselected package mailcap. Preparing to unpack .../2-mailcap_3.69_all.deb ... Unpacking mailcap (3.69) ... 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Selecting previously unselected package libpython3-stdlib:armhf. Preparing to unpack .../9-libpython3-stdlib_3.9.2-3_armhf.deb ... Unpacking libpython3-stdlib:armhf (3.9.2-3) ... Setting up python3-minimal (3.9.2-3) ... Selecting previously unselected package python3. (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 ... 22181 files and directories currently installed.) Preparing to unpack .../000-python3_3.9.2-3_armhf.deb ... Unpacking python3 (3.9.2-3) ... 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Setting up libboost-chrono1.74-dev:armhf (1.74.0-9) ... Setting up liblab-gamut1:armhf (2.42.2-5) ... Setting up libgdk-pixbuf2.0-common (2.42.2+dfsg-1) ... Setting up libnorm1:armhf (1.5.9+dfsg-2) ... Setting up libtbb2:armhf (2020.3-1) ... Setting up x11-common (1:7.7+22) ... Running in chroot, ignoring request. Setting up X socket directories... /tmp/.X11-unix /tmp/.ICE-unix. Setting up libsensors-config (1:3.6.0-7) ... Setting up libnghttp2-14:armhf (1.43.0-1) ... Setting up libmagic1:armhf (1:5.39-3) ... Setting up libx265-192:armhf (3.4-2) ... Setting up libdeflate0:armhf (1.7-1) ... Setting up gettext-base (0.21-4) ... Setting up xkb-data (2.29-2) ... Setting up libboost-filesystem1.74.0:armhf (1.74.0-9) ... Setting up libilmbase25:armhf (2.5.4-1) ... Setting up libprotobuf23:armhf (3.12.4-1) ... Setting up libzzip-0-13:armhf (0.13.62-3.3) ... Setting up file (1:5.39-3) ... Setting up fonts-urw-base35 (20200910-1) ... Setting up libxvidcore4:armhf (2:1.3.7-1) ... Setting up libepsilon1:armhf (0.9.2+dfsg-5) ... Setting up libunwind8:armhf (1.3.2-2) ... Setting up libx264-160:armhf (2:0.160.3011+gitcde9a93-2.1) ... Setting up libjbig0:armhf (2.1-3.1+b2) ... Setting up libaec0:armhf (1.0.4-1) ... Setting up libcolord2:armhf (1.4.5-3) ... Setting up gdal-data (3.2.2+dfsg-2) ... Setting up libopengl0:armhf (1.3.2-1) ... Setting up libsnappy1v5:armhf (1.1.8-1) ... Setting up poppler-data (0.4.10-1) ... Setting up libsasl2-modules-db:armhf (2.1.27+dfsg-2.1) ... Setting up libcap2-bin (1:2.44-1) ... Setting up libopenexr25:armhf (2.5.4-2) ... Setting up libdconf1:armhf (0.38.0-2) ... Setting up libgts-0.7-5:armhf (0.7.6+darcs121130-4+b1) ... Setting up mariadb-common (1:10.5.11-1) ... update-alternatives: using /etc/mysql/mariadb.cnf to provide /etc/mysql/my.cnf (my.cnf) in auto mode Setting up libfontenc1:armhf (1:1.1.4-1) ... Setting up libprotobuf-lite23:armhf (3.12.4-1) ... Setting up autotools-dev (20180224.1+nmu1) ... Setting up libz3-4:armhf (4.8.10-1) ... Setting up libblas3:armhf (3.9.0-3) ... 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 libuv1:armhf (1.40.0-2) ... Setting up libexpat1-dev:armhf (2.2.10-2) ... Setting up libjpeg62-turbo:armhf (1:2.0.6-4) ... Setting up libva2:armhf (2.10.0-1) ... Setting up libx11-data (2:1.7.2-1) ... Setting up libjpeg62-turbo-dev:armhf (1:2.0.6-4) ... Setting up libepoxy0:armhf (1.5.5-1) ... Setting up libnspr4:armhf (2:4.29-1) ... Setting up libjbig2dec0:armhf (0.19-2) ... Setting up librtmp1:armhf (2.4+20151223.gitfa8646d.1-2+b2) ... Setting up libidn11:armhf (1.33-3) ... Setting up libteckit0:armhf (2.5.10+ds1-3) ... Setting up bash-completion (1:2.11-2) ... Setting up libpathplan4:armhf (2.42.2-5) ... Setting up libcodec2-0.9:armhf (0.9.2-4) ... Setting up libapache-pom-java (18-1) ... Setting up libprotoc23:armhf (3.12.4-1) ... Setting up libavahi-common-data:armhf (0.8-5) ... Setting up libboost-system1.74-dev:armhf (1.74.0-9) ... Setting up libncurses6:armhf (6.2+20201114-2) ... Setting up libdbus-1-3:armhf (1.12.20-2) ... Setting up dbus (1.12.20-2) ... Running in chroot, ignoring request. invoke-rc.d: policy-rc.d denied execution of start. Setting up liblzf1:armhf (3.6-3) ... Setting up libsigsegv2:armhf (2.13-1) ... Setting up xfonts-encodings (1:1.0.4-2.1) ... Setting up libfribidi0:armhf (1.0.8-2) ... Setting up libopus0:armhf (1.3.1-0.1) ... Setting up t1utils (1.41-4) ... Setting up libexif12:armhf (0.6.22-3) ... Setting up libimagequant0:armhf (2.12.2-1.1) ... Setting up libpng16-16:armhf (1.6.37-3) ... Setting up libvorbis0a:armhf (1.3.7-1) ... Setting up liborc-0.4-0:armhf (1:0.4.32-1) ... Setting up libtcl8.6:armhf (8.6.11+dfsg-1) ... Setting up autopoint (0.21-4) ... Setting up libwebp6:armhf (0.6.1-2.1) ... Setting up pkg-config (0.29.2-1) ... Setting up libmariadb3:armhf (1:10.5.11-1) ... Setting up fonts-dejavu-core (2.37-2) ... Setting up libsocket++1:armhf (1.12.13-11) ... Setting up libsensors5:armhf (1:3.6.0-7) ... Setting up libltdl7:armhf (2.4.6-15) ... Setting up liblmdb-dev:armhf (0.9.24-1) ... Setting up libglapi-mesa:armhf (20.3.5-1) ... Setting up libkpathsea6:armhf (2020.20200327.54578-7) ... Setting up libsasl2-2:armhf (2.1.27+dfsg-2.1) ... Setting up libgfortran5:armhf (10.2.1-6) ... Setting up libvulkan1:armhf (1.2.162.0-1) ... Setting up libhdf4-0-alt (4.2.15-3) ... Setting up libjsoncpp24:armhf (1.9.4-4) ... Setting up libboost-atomic1.74-dev:armhf (1.74.0-9) ... Setting up liblzma-dev:armhf (5.2.5-2) ... Setting up libboost-serialization1.74.0:armhf (1.74.0-9) ... Setting up libgif7:armhf (5.1.9-2) ... Setting up zlib1g-dev:armhf (1:1.2.11.dfsg-2) ... Setting up libatk1.0-data (2.36.0-2) ... Setting up liburiparser1:armhf (0.9.4+dfsg-1) ... Setting up libmd0:armhf (1.0.3-3) ... Setting up libfreexl1:armhf (1.0.6-1) ... Setting up sensible-utils (0.0.14) ... Setting up ocl-icd-libopencl1:armhf (2.2.14-2) ... Setting up libxshmfence1:armhf (1.3-1) ... Setting up libvpx6:armhf (1.9.0-1) ... Setting up libmime-charset-perl (1.012.2-1) ... Setting up librhash0:armhf (1.4.1-2) ... Setting up libwavpack1:armhf (5.4.0-1) ... Setting up libgeos-3.9.0:armhf (3.9.0-1) ... Setting up libfyba0:armhf (4.1.1-7) ... Setting up libuchardet0:armhf (0.0.7-1) ... Setting up libkmlbase1:armhf (1.3.0-9) ... Setting up libmpdec3:armhf (2.5.1-1) ... Setting up libpam-systemd:armhf (247.3-6) ... Setting up fonts-lmodern (2.004.5-6.1) ... Setting up libdav1d4:armhf (0.7.1-3) ... Setting up libopenjp2-7:armhf (2.4.0-3) ... Setting up libsub-override-perl (0.09-2) ... Setting up libthai-data (0.1.28-3) ... Setting up libssh2-1:armhf (1.9.0-2) ... Setting up libjson-glib-1.0-common (1.6.2-1) ... Setting up cmake-data (3.18.4-2) ... Setting up libcdt5:armhf (2.42.2-5) ... Setting up libatk1.0-0:armhf (2.36.0-2) ... Setting up libcgraph6:armhf (2.42.2-5) ... Setting up libboost-dev:armhf (1.74.0.3) ... Setting up libtiff5:armhf (4.2.0-1) ... Setting up libwayland-egl1:armhf (1.18.0-2~exp1.1) ... Setting up libusb-1.0-0:armhf (2:1.0.24-3) ... Setting up libtbb-dev:armhf (2020.3-1) ... Setting up libgphoto2-port12:armhf (2.5.27-1) ... Setting up libboost-filesystem1.74-dev:armhf (1.74.0-9) ... Setting up libjs-jquery (3.5.1+dfsg+~3.5.5-7) ... Setting up libboost-date-time1.74.0:armhf (1.74.0-9) ... Setting up glib-networking-common (2.66.0-2) ... Setting up libboost-python1.74.0 (1.74.0-9) ... Setting up libde265-0:armhf (1.0.8-1) ... Setting up python-matplotlib-data (3.3.4-1) ... Setting up libwebpmux3:armhf (0.6.1-2.1) ... Setting up libbsd0:armhf (0.11.3-1) ... Setting up libdeflate-dev:armhf (1.7-1) ... Setting up libdrm-common (2.4.104-1) ... Setting up mailcap (3.69) ... Setting up libelf1:armhf (0.183-1) ... Setting up readline-common (8.1-1) ... Setting up libxml2:armhf (2.9.10+dfsg-6.7) ... Setting up xdg-utils (1.1.3-4.1) ... update-alternatives: using /usr/bin/xdg-open to provide /usr/bin/open (open) in auto mode Setting up iso-codes (4.6.0-1) ... Setting up libboost-filesystem-dev:armhf (1.74.0.3) ... Setting up libzvbi-common (0.2.35-18) ... Setting up libprocps8:armhf (2:3.3.17-5) ... Setting up libmp3lame0:armhf (3.100-3) ... Setting up libilmbase-dev:armhf (2.5.4-1) ... Setting up libblas-dev:armhf (3.9.0-3) ... 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 libsz2:armhf (1.0.4-1) ... Setting up libvorbisenc2:armhf (1.3.7-1) ... Setting up libsynctex2:armhf (2020.20200327.54578-7) ... Setting up libtiffxx5:armhf (4.2.0-1) ... Setting up libjs-underscore (1.9.1~dfsg-3) ... Setting up libboost-thread1.74.0:armhf (1.74.0-9) ... Setting up libgflags2.2 (2.2.2-2) ... Setting up libxkbcommon0:armhf (1.0.3-2) ... Setting up libkmldom1:armhf (1.3.0-9) ... Setting up libwayland-client0:armhf (1.18.0-2~exp1.1) ... Setting up libgs9-common (9.53.3~dfsg-7) ... Setting up libfile-stripnondeterminism-perl (1.12.0-1) ... Setting up glib-networking-services (2.66.0-2) ... Setting up libzvbi0:armhf (0.2.35-18) ... Setting up libleveldb1d:armhf (1.22-3) ... Setting up libice6:armhf (2:1.0.10-1) ... Setting up libdw1:armhf (0.183-1) ... Setting up libxdmcp6:armhf (1:1.1.2-3) ... Setting up libexif-dev:armhf (0.6.22-3) ... Setting up liblapack3:armhf (3.9.0-3) ... 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 libxcb1:armhf (1.14-3) ... Setting up gettext (0.21-4) ... Setting up libxcb-xfixes0:armhf (1.14-3) ... Setting up libzmq5:armhf (4.3.4-1) ... Setting up libpdfbox-java (1:1.8.16-2) ... Setting up libkmlengine1:armhf (1.3.0-9) ... Setting up mime-support (3.66) ... Setting up protobuf-compiler (3.12.4-1) ... Setting up libleveldb-dev:armhf (1.22-3) ... Setting up libopencv-core4.5:armhf (4.5.1+dfsg-5) ... Setting up libtool (2.4.6-15) ... Setting up libarchive13:armhf (3.4.3-2+b1) ... Setting up libxcb-render0:armhf (1.14-3) ... Setting up libxcb-glx0:armhf (1.14-3) ... Setting up libwebpdemux2:armhf (0.6.1-2.1) ... Setting up libedit2:armhf (3.1-20191231-2+b1) ... Setting up libreadline8:armhf (8.1-1) ... Setting up libboost-system-dev:armhf (1.74.0.3) ... Setting up libsnappy-dev:armhf (1.1.8-1) ... Setting up libheif1:armhf (1.11.0-1) ... Setting up libpng-dev:armhf (1.6.37-3) ... Setting up libcommons-parent-java (43-1) ... Setting up libaec-dev:armhf (1.0.4-1) ... Setting up libarpack2:armhf (3.8.0-1) ... Setting up libavahi-common3:armhf (0.8-5) ... Setting up libopencv-imgproc4.5:armhf (4.5.1+dfsg-5) ... Setting up libjpeg-dev:armhf (1:2.0.6-4) ... Setting up libjbig-dev:armhf (2.1-3.1+b2) ... Setting up libsuperlu5:armhf (5.2.2+dfsg1-2) ... Setting up libcommons-logging-java (1.2-2) ... Setting up bc (1.07.1-2+b2) ... Setting up libldap-2.4-2:armhf (2.4.57+dfsg-3) ... Setting up m4 (1.4.18-5) ... Setting up libcurl3-gnutls:armhf (7.74.0-1.3+b1) ... Setting up libnss3:armhf (2:3.61-1) ... Setting up libxcb-shm0:armhf (1.14-3) ... Setting up liblept5:armhf (1.79.0-1.1) ... Setting up libjson-glib-1.0-0:armhf (1.6.2-1) ... Setting up libdap27:armhf (3.20.7-6) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up libcfitsio9:armhf (3.490-3) ... Setting up libprotobuf-dev:armhf (3.12.4-1) ... Setting up libxcb-present0:armhf (1.14-3) ... Setting up libthai0:armhf (0.1.28-3) ... Setting up libvorbisfile3:armhf (1.3.7-1) ... Setting up dbus-user-session (1.12.20-2) ... Setting up libopenexr-dev (2.5.4-2) ... Setting up libllvm11:armhf (1:11.0.1-2) ... Setting up libjs-jquery-ui (1.12.1+dfsg-8) ... Setting up libptexenc1:armhf (2020.20200327.54578-7) ... Setting up libfreetype6:armhf (2.10.4+dfsg-1) ... Setting up libtiff-dev:armhf (4.2.0-1) ... Setting up libxcb-sync1:armhf (1.14-3) ... Setting up libopencv-flann4.5:armhf (4.5.1+dfsg-5) ... Setting up libgdcm3.0:armhf (3.0.8-2) ... Setting up shared-mime-info (2.0-1) ... Setting up libdc1394-25:armhf (2.2.6-3) ... Setting up libgflags-dev (2.2.2-2) ... Setting up libclang1-11 (1:11.0.1-2) ... Setting up libgeos-c1v5:armhf (3.9.0-1) ... Setting up libopencv-dnn4.5:armhf (4.5.1+dfsg-5) ... Setting up libodbc1:armhf (2.3.6-0.1+b1) ... Setting up ucf (3.0043) ... Setting up libjs-sphinxdoc (3.4.3-2) ... Setting up libtesseract4:armhf (4.1.1-2.1) ... Setting up autoconf (2.69-14) ... Setting up libboost-serialization1.74-dev:armhf (1.74.0-9) ... Setting up libxcb-dri2-0:armhf (1.14-3) ... Setting up dh-strip-nondeterminism (1.12.0-1) ... Setting up libgvpr2:armhf (2.42.2-5) ... Setting up libdrm2:armhf (2.4.104-1) ... Setting up libhdf5-103-1:armhf (1.10.6+repack-4) ... Setting up dwz (0.13+20210201-1) ... Setting up librttopo1:armhf (1.1.0-2) ... Setting up libopencv-core-dev:armhf (4.5.1+dfsg-5) ... Setting up libva-drm2:armhf (2.10.0-1) ... Setting up libprotoc-dev:armhf (3.12.4-1) ... Setting up groff-base (1.22.4-6) ... Setting up libopencv-ml4.5:armhf (4.5.1+dfsg-5) ... Setting up libwayland-cursor0:armhf (1.18.0-2~exp1.1) ... Setting up procps (2:3.3.17-5) ... Setting up libopencv-photo4.5:armhf (4.5.1+dfsg-5) ... Setting up libdapclient6v5:armhf (3.20.7-6) ... Setting up libhdf5-cpp-103-1:armhf (1.10.6+repack-4) ... Setting up libcurl4:armhf (7.74.0-1.3+b1) ... Setting up libx11-6:armhf (2:1.7.2-1) ... Setting up libharfbuzz0b:armhf (2.7.4-1) ... Setting up libgdk-pixbuf-2.0-0:armhf (2.42.2+dfsg-1) ... Setting up libproj19:armhf (7.2.1-1) ... Setting up libxcomposite1:armhf (1:0.4.5-1) ... Setting up libsm6:armhf (2:1.2.3-1) ... Setting up libgoogle-glog0v5 (0.4.0-4) ... Setting up libopenmpt0:armhf (0.4.11-1) ... Setting up libavahi-client3:armhf (0.8-5) ... Setting up libgstreamer1.0-0:armhf (1.18.4-2.1) ... Setcap worked! gst-ptp-helper is not suid! Setting up libpython3.9-stdlib:armhf (3.9.2-1) ... Setting up libpython3-stdlib:armhf (3.9.2-3) ... Setting up liblbfgsb0:armhf (3.0+dfsg.3-9) ... Setting up libdrm-amdgpu1:armhf (2.4.104-1) ... Setting up libhdf5-hl-100:armhf (1.10.6+repack-4) ... Setting up automake (1:1.16.3-2) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libspatialite7:armhf (5.0.1-2) ... Setting up libxcb-dri3-0:armhf (1.14-3) ... Setting up libpaper1:armhf (1.1.28+b1) ... Creating config file /etc/papersize with new version Setting up gtk-update-icon-cache (3.24.24-4) ... Setting up libx11-xcb1:armhf (2:1.7.2-1) ... Setting up libopencv-flann-dev:armhf (4.5.1+dfsg-5) ... Setting up libgdcm-dev (3.0.8-2) ... Setting up libarmadillo10 (1:10.1.2+dfsg-6) ... Setting up libdrm-nouveau2:armhf (2.4.104-1) ... Setting up libopencv-ml-dev:armhf (4.5.1+dfsg-5) ... Setting up libxdamage1:armhf (1:1.1.5-2) ... Setting up libxerces-c3.2:armhf (3.2.3+debian-3) ... Setting up libxpm4:armhf (1:3.5.12-1) ... Setting up libxrender1:armhf (1:0.9.10-1) ... Setting up libdc1394-dev:armhf (2.2.6-3) ... Setting up libsombok3:armhf (2.4.0-2+b1) ... Setting up libdrm-radeon1:armhf (2.4.104-1) ... Setting up fontconfig-config (2.13.1-4.2) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libgl1-mesa-dri:armhf (20.3.5-1) ... Setting up libpq5:armhf (13.3-1) ... Setting up libxext6:armhf (2:1.3.3-1.1) ... Setting up libopencv-features2d4.5:armhf (4.5.1+dfsg-5) ... Setting up libgstreamer-plugins-base1.0-0:armhf (1.18.4-2) ... Setting up dconf-service (0.38.0-2) ... Setting up libpaper-utils (1.1.28+b1) ... Setting up libatspi2.0-0:armhf (2.38.0-4) ... Setting up xfonts-utils (1:7.7+6) ... Setting up man-db (2.9.4-2) ... Not building database; man-db/auto-update is not 'true'. Created symlink /etc/systemd/system/timers.target.wants/man-db.timer -> /lib/systemd/system/man-db.timer. Setting up libgeotiff5:armhf (1.6.0-1) ... Setting up libxxf86vm1:armhf (1:1.1.4-1+b2) ... Setting up libclang-cpp11 (1:11.0.1-2) ... Setting up dh-autoreconf (20) ... Setting up tex-common (6.16) ... update-language: texlive-base not installed and configured, doing nothing! Setting up libatk-bridge2.0-0:armhf (2.38.0-1) ... Setting up libboost-date-time1.74-dev:armhf (1.74.0-9) ... Setting up libhdf5-hl-cpp-100:armhf (1.10.6+repack-4) ... Setting up doxygen (1.9.1-1) ... Setting up libpython3.9:armhf (3.9.2-1) ... Setting up adwaita-icon-theme (3.38.0-1) ... update-alternatives: using /usr/share/icons/Adwaita/cursor.theme to provide /usr/share/icons/default/index.theme (x-cursor-theme) in auto mode Setting up libxfixes3:armhf (1:5.0.3-2) ... Setting up libopencv-imgproc-dev:armhf (4.5.1+dfsg-5) ... Setting up libunicode-linebreak-perl (0.0.20190101-1+b2) ... Setting up libopencv-dnn-dev:armhf (4.5.1+dfsg-5) ... Setting up libxinerama1:armhf (2:1.1.4-2) ... Setting up libxrandr2:armhf (2:1.5.1-1) ... Setting up libhdf5-fortran-102:armhf (1.10.6+repack-4) ... Setting up libxt6:armhf (1:1.2.0-1) ... Setting up libcups2:armhf (2.3.3op2-3+deb11u1) ... Setting up libvdpau1:armhf (1.4-3) ... Setting up lmodern (2.004.5-6.1) ... Setting up libnetcdf18:armhf (1:4.7.4-1) ... Setting up cmake (3.18.4-2) ... Setting up libhdf5-hl-fortran-100:armhf (1.10.6+repack-4) ... Setting up libboost-thread1.74-dev:armhf (1.74.0-9) ... Setting up libgoogle-glog-dev (0.4.0-4) ... Setting up libxss1:armhf (1:1.2.3-1) ... Setting up libfontconfig1:armhf (2.13.1-4.2) ... Setting up libbluray2:armhf (1:1.2.1-4) ... Setting up libva-x11-2:armhf (2.10.0-1) ... Setting up python3.9 (3.9.2-1) ... Setting up libboost-thread-dev:armhf (1.74.0.3) ... Setting up fontconfig (2.13.1-4.2) ... Regenerating fonts cache... done. Setting up libopencv-calib3d4.5:armhf (4.5.1+dfsg-5) ... Setting up libxft2:armhf (2.3.2-2) ... Setting up libxmu6:armhf (2:1.1.2-2+b3) ... Setting up libglx-mesa0:armhf (20.3.5-1) ... Setting up libgs9:armhf (9.53.3~dfsg-7) ... Setting up libxi6:armhf (2:1.7.10-1) ... Setting up libglx0:armhf (1.3.2-1) ... Setting up dconf-gsettings-backend:armhf (0.38.0-2) ... Setting up libopencv-shape4.5:armhf (4.5.1+dfsg-5) ... Setting up preview-latex-style (12.2-1) ... Setting up libtk8.6:armhf (8.6.11-2) ... Setting up libxcursor1:armhf (1:1.2.0-2) ... Setting up libopencv-photo-dev:armhf (4.5.1+dfsg-5) ... Setting up libpango-1.0-0:armhf (1.46.2-3) ... Setting up libpython3.9-dev:armhf (3.9.2-1) ... Setting up debhelper (13.3.4) ... Setting up python3 (3.9.2-3) ... Setting up libxaw7:armhf (2:1.0.13-1.1) ... Setting up ghostscript (9.53.3~dfsg-7) ... Setting up libcairo2:armhf (1.16.0-5) ... Setting up python3-tz (2021.1-1) ... Setting up libavutil56:armhf (7:4.3.2-0+deb11u2) ... Setting up python3-six (1.16.0-2) ... Setting up python3-pil:armhf (8.1.2+dfsg-0.3) ... Setting up libopencv-video4.5:armhf (4.5.1+dfsg-5) ... Setting up python3-decorator (4.4.2-2) ... Setting up libgl1:armhf (1.3.2-1) ... Setting up python3-wcwidth (0.1.9+dfsg1-2) ... Setting up python3-pyparsing (2.4.7-1) ... Setting up python3-cycler (0.10.0-3) ... Setting up libhdf5-dev (1.10.6+repack-4) ... update-alternatives: using /usr/lib/arm-linux-gnueabihf/pkgconfig/hdf5-serial.pc to provide /usr/lib/arm-linux-gnueabihf/pkgconfig/hdf5.pc (hdf5.pc) in auto mode Setting up libgd3:armhf (2.3.0-2) ... Setting up python3-kiwisolver (1.3.1-1+b1) ... Setting up cython3 (0.29.21-3+b1) ... Setting up libopencv-stitching4.5:armhf (4.5.1+dfsg-5) ... Setting up python3-pickleshare (0.7.5-3) ... Setting up libopencv-video-dev:armhf (4.5.1+dfsg-5) ... Setting up python3.9-dev (3.9.2-1) ... Setting up libglew2.1:armhf (2.1.0-4+b1) ... Setting up libpoppler102:armhf (20.09.0-3.1) ... Setting up texlive-binaries (2020.20200327.54578-7) ... update-alternatives: using /usr/bin/xdvi-xaw to provide /usr/bin/xdvi.bin (xdvi.bin) in auto mode update-alternatives: using /usr/bin/bibtex.original to provide /usr/bin/bibtex (bibtex) in auto mode Setting up libopencv-objdetect4.5:armhf (4.5.1+dfsg-5) ... Setting up libtheora0:armhf (1.1.1+dfsg.1-15) ... Setting up python3-dateutil (2.8.1-6) ... Setting up libswscale5:armhf (7:4.3.2-0+deb11u2) ... Setting up libcairo-gobject2:armhf (1.16.0-5) ... Setting up libpangoft2-1.0-0:armhf (1.46.2-3) ... Setting up python3-lib2to3 (3.9.2-1) ... Setting up texlive-base (2020.20210202-3) ... tl-paper: setting paper size for dvips to a4: /var/lib/texmf/dvips/config/config-paper.ps tl-paper: setting paper size for dvipdfmx to a4: /var/lib/texmf/dvipdfmx/dvipdfmx-paper.cfg tl-paper: setting paper size for xdvi to a4: /var/lib/texmf/xdvi/XDvi-paper tl-paper: setting paper size for pdftex to a4: /var/lib/texmf/tex/generic/tex-ini-files/pdftexconfig.tex Setting up python3-gflags (1.5.1-7) ... Setting up libgtk-3-common (3.24.24-4) ... Setting up libpangocairo-1.0-0:armhf (1.46.2-3) ... Setting up python3-ptyprocess (0.7.0-1) ... Setting up python3-pkg-resources (52.0.0-4) ... Setting up python3-prompt-toolkit (3.0.14-1) ... Setting up python3-distutils (3.9.2-1) ... Setting up dh-python (4.20201102+nmu1) ... Setting up libavutil-dev:armhf (7:4.3.2-0+deb11u2) ... Setting up gsettings-desktop-schemas (3.38.0-2) ... Setting up libopencv-shape-dev:armhf (4.5.1+dfsg-5) ... Setting up libpython3-dev:armhf (3.9.2-3) ... 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I: Building the package hostname: Name or service not known I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../caffe_1.0.0+git20180821.99bd997-8_source.changes dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Mo Zhou dpkg-source --before-build . dpkg-buildpackage: info: host architecture armhf fakeroot debian/rules clean dh clean -Scmake --with python3,bash-completion debian/rules override_dh_auto_clean make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_clean --builddirectory="caffe_cpu_build" rm -f -rf python/caffe/proto/ doxygen rm -f python/caffe/_caffe.so find . -type d -name '__pycache__' -exec rm -rf '{}' + make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_clean -O-Scmake debian/rules build dh build -Scmake --with python3,bash-completion dh_update_autotools_config -O-Scmake dh_autoreconf -O-Scmake debian/rules override_dh_auto_configure make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{arm-linux-gnueabihf}g;' \ < debian/libcaffe-dev.install.in > debian/libcaffe-dev.install perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{arm-linux-gnueabihf}g;' \ < debian/libcaffe1.install.in > debian/libcaffe1.install dh_auto_configure --builddirectory="caffe_cpu_build" \ -- -DALLOW_LMDB_NOLOCK=OFF -DBLAS="Generic" -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version="3" -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_CXX_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX="/usr" -DCPU_ONLY=ON cd caffe_cpu_build && cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=None -DCMAKE_INSTALL_SYSCONFDIR=/etc -DCMAKE_INSTALL_LOCALSTATEDIR=/var -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_RUNSTATEDIR=/run -DCMAKE_SKIP_INSTALL_ALL_DEPENDENCY=ON "-GUnix Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON -DCMAKE_INSTALL_LIBDIR=lib/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 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" "-DCMAKE_CXX_FLAGS=-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX=/usr -DCPU_ONLY=ON .. -- The C compiler identification is GNU 10.2.1 -- The CXX compiler identification is GNU 10.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done CMake Warning (dev) at cmake/Misc.cmake:32 (set): implicitly converting 'BOOLEAN' to 'STRING' type. Call Stack (most recent call first): CMakeLists.txt:25 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found Boost: /usr/lib/arm-linux-gnueabihf/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.54") found components: system thread filesystem -- Found Threads: TRUE -- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/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 "3.12.4") -- Found PROTOBUF Compiler: /usr/bin/protoc -- 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 "1.10.6") 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/lib/arm-linux-gnueabihf/cmake/opencv4) -- Looking for sgemm_ -- Looking for sgemm_ - found -- Found BLAS: /usr/lib/arm-linux-gnueabihf/libblas.so -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.9.2", minimum required is "3.0") -- Found PythonLibs: /usr/lib/arm-linux-gnueabihf/libpython3.9.so (found suitable version "3.9.2", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.19.5", minimum required is "1.7.1") -- NumPy ver. 1.19.5 found (include: /usr/lib/python3/dist-packages/numpy/core/include) -- Found Boost: /usr/lib/arm-linux-gnueabihf/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.46") found components: python3 -- Could NOT find Git (missing: GIT_EXECUTABLE) -- -- ******************* Caffe Configuration Summary ******************* -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : OFF -- CPU_ONLY : ON -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Generic) -- Boost : Yes (ver. 1.74) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. ..) -- lmdb : Yes (ver. 0.9.24) -- LevelDB : Yes (ver. 1.22) -- Snappy : Yes (ver. 1.1.8) -- OpenCV : Yes (ver. 4.5.1) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.9.2) -- Libraries : /usr/lib/arm-linux-gnueabihf/libpython3.9.so (ver 3.9.2) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.19.5) -- -- Install: -- Install path : /usr -- -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: USE_CUDNN -- Build files have been written to: /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all cd caffe_cpu_build && make -j4 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 caffe make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 52 make -f CMakeFiles/Makefile2 src/caffe/CMakeFiles/caffe.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 0%] Running C++/Python protocol buffer compiler on /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/caffe-1.0.0+git20180821.99bd997/src -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 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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 [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp [ 3%] 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/common.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/internal_thread.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/internal_thread.cpp [ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp In file included from /usr/include/c++/10/vector:72, from /usr/include/opencv4/opencv2/core/types.hpp:53, from /usr/include/opencv4/opencv2/core.hpp:58, from /usr/include/opencv4/opencv2/core/core.hpp:48, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:426:7: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 426 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /usr/include/opencv4/opencv2/core/types.hpp:53, from /usr/include/opencv4/opencv2/core.hpp:58, from /usr/include/opencv4/opencv2/core/core.hpp:48, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DataTransformer::Transform(const cv::Mat&, caffe::Blob*) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DataTransformer::Transform(const caffe::Datum&, Dtype*) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /usr/include/opencv4/opencv2/core/types.hpp:53, from /usr/include/opencv4/opencv2/core.hpp:58, from /usr/include/opencv4/opencv2/core/core.hpp:48, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/data_transformer.cpp:2: /usr/include/c++/10/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(std::vector<_Tp, _Alloc>::iterator, _Args&& ...) [with _Args = {double}; _Tp = double; _Alloc = std::allocator]': /usr/include/c++/10/bits/vector.tcc:426:7: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 426 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp /usr/include/c++/10/bits/vector.tcc: In constructor 'caffe::DataTransformer::DataTransformer(const caffe::TransformationParameter&, caffe::Phase) [with Dtype = double]': /usr/include/c++/10/bits/vector.tcc:121:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 121 | _M_realloc_insert(end(), std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/absval_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/accuracy_layer.cpp In file included from /usr/include/c++/10/vector:72, 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++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, 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++/10/bits/stl_vector.h: In member function 'void caffe::Layer::set_loss(int, Dtype) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -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 In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/shared_ptr.hpp:17, from /usr/include/boost/python/converter/shared_ptr_to_python.hpp:12, from /usr/include/boost/python/converter/arg_to_python.hpp:15, from /usr/include/boost/python/call.hpp:15, from /usr/include/boost/python/object_core.hpp:14, from /usr/include/boost/python/args.hpp:22, from /usr/include/boost/python.hpp:11, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:4: /usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/base_conv_layer.cpp /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] 298 | } catch (bp::error_already_set) { | ^~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] In file included from /usr/include/c++/10/bits/stl_algo.h:61, from /usr/include/c++/10/algorithm:62, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/argmax_layer.cpp:1: /usr/include/c++/10/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++/10/bits/stl_heap.h:223:5: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >' changed in GCC 7.1 223 | __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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall 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-fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV 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_Alloc>::size_type, const value_type&) [with _Tp = double; _Alloc = std::allocator]': /usr/include/c++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/swish_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SwishLayer::LayerSetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/spp_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/spp_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/tile_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/tile_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/tile_layer.cpp [ 76%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/window_data_layer.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SPPLayer::LayerSetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: 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-DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solvers/adadelta_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solvers/adadelta_solver.cpp In file included from /usr/include/c++/10/vector:72, from /usr/include/opencv4/opencv2/core/types.hpp:53, from /usr/include/opencv4/opencv2/core.hpp:58, from /usr/include/opencv4/opencv2/core/types_c.h:126, from /usr/include/opencv4/opencv2/core/core_c.h:48, from /usr/include/opencv4/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++/10/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++/10/bits/vector.tcc:426:7: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 426 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/vector.tcc: In member function 'void std::vector<_Tp, _Alloc>::_M_realloc_insert(std::vector<_Tp, _Alloc>::iterator, _Args&& ...) [with _Args = {double}; _Tp = double; _Alloc = std::allocator]': /usr/include/c++/10/bits/vector.tcc:426:7: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp:4: /usr/include/c++/10/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++/10/bits/vector.tcc:426:7: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 426 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp:4: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Solver::UpdateSmoothedLoss(Dtype, int, int) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp:6: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/vector.tcc: In member function 'void caffe::WindowDataLayer::DataLayerSetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/vector.tcc:121:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 121 | _M_realloc_insert(end(), std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /usr/include/opencv4/opencv2/core/types.hpp:53, from /usr/include/opencv4/opencv2/core.hpp:58, from /usr/include/opencv4/opencv2/core/types_c.h:126, from /usr/include/opencv4/opencv2/core/core_c.h:48, from /usr/include/opencv4/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++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Solver::Test(int) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK 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/build/caffe-1.0.0+git20180821.99bd997/src/caffe/solvers/nesterov_solver.cpp In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp:6: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Net::Init(const caffe::NetParameter&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solvers/rmsprop_solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ 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Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function 'bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:60:66: warning: 'void google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int, int)' is deprecated: Please use the single parameter version of SetTotalBytesLimit(). The second parameter is ignored. 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/usr/lib/arm-linux-gnueabihf/libboost_thread.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_filesystem.so.1.74.0 -lpthread -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 -lsnappy /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.4.5.1 -lblas -lpython3.9 /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_atomic.so.1.74.0 -lpthread /usr/lib/arm-linux-gnueabihf/libopencv_videoio.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_symlink_library ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pycaffe make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 python/CMakeFiles/pycaffe.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make 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Scanning dependencies of target pycaffe make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Building CXX object python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -Dpycaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/smart_ptr/make_shared_object.hpp:17, from /usr/include/boost/smart_ptr/make_shared.hpp:14, from /usr/include/boost/make_shared.hpp:14, from /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp:6: /usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../lib/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/pycaffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,_caffe.so -o ../lib/_caffe.so CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o ../lib/libcaffe.so.1.0.0 -lpython3.9 ../lib/libcaffeproto.a /usr/lib/arm-linux-gnueabihf/libboost_system.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_thread.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_atomic.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_filesystem.so.1.74.0 -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.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_videoio.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 -lblas /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 Creating symlink /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && touch /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/__init__.py cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && cp /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/*.py /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake 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'/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' Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". 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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 [ 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' [ 2%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe In file included from /usr/include/string.h:495, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39: In function 'char* strncpy(char*, const char*, size_t)', inlined from 'const char* testing::internal::posix::StrNCpy(char*, const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:2672:17, inlined from 'char* testing::internal::CloneString(const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2143:19, inlined from 'static const char* testing::internal::String::CloneCString(const char*)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: /usr/include/arm-linux-gnueabihf/bits/string_fortified.h:106:34: warning: 'char* __builtin_strncpy(char*, const char*, unsigned int)' output truncated before terminating nul copying as many bytes from a string as its length [-Wstringop-truncation] 106 | return __builtin___strncpy_chk (__dest, __src, __len, __bos (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp: In static member function 'static const char* testing::internal::String::CloneCString(const char*)': /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: note: length computed here 2154 | NULL : CloneString(c_str, strlen(c_str)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 60%] Linking CXX static library ../../lib/libgtest.a cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -E cmake_link_script CMakeFiles/gtest.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libgtest.a CMakeFiles/gtest.dir/gtest-all.cpp.o /usr/bin/ranlib ../../lib/libgtest.a make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target gtest make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Scanning dependencies of target test.testbin make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY 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-DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp:3: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp:3: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::BatchNormLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::BatchReindexLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::BatchNormLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::BatchReindexLayerTest::TestForward() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::BatchNormLayerTest_TestForwardInplace_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_blob.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_caffe_main.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_common.cpp.o cd 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/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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare 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-fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_crop_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_crop_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_concat_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_concat_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_contrastive_loss_layer.cpp:3: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_contrastive_loss_layer.cpp:3: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::GradientChecker::CheckGradientExhaustive(caffe::Layer*, const std::vector*>&, const std::vector*>&, int) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ContrastiveLossLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ContrastiveLossLayerTest_TestGradientLegacy_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ContrastiveLossLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_crop_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_crop_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ContrastiveLossLayerTest_TestForwardLegacy_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_convolution_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_convolution_layer.cpp:1: /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_db.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_db.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.cpp:3: /usr/include/c++/10/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++/10/bits/vector.tcc:426:7: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 426 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.cpp:3: /usr/include/c++/10/bits/stl_vector.h: In member function 'int caffe::DataTransformTest::NumSequenceMatches(caffe::TransformationParameter, const caffe::Datum&, caffe::Phase) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_layer.cpp:3: /usr/include/c++/10/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++/10/bits/vector.tcc:426:7: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 426 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_layer.cpp:3: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_deconvolution_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_dummy_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_dummy_data_layer.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DataLayerTest::TestSkip() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_eltwise_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_eltwise_layer.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DataLayerTest::TestReadCropTrainSequenceSeeded() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DataLayerTest::TestReadCropTrainSequenceUnseeded() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:1198:21: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 1198 | _M_realloc_insert(end(), __x); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_deconvolution_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_deconvolution_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_eltwise_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_eltwise_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::GradientChecker::CheckGradientEltwise(caffe::Layer*, const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_dummy_data_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_dummy_data_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DummyDataLayerTest_TestTwoTopConstant_Test::TestBody() [with gtest_TypeParam_ = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DummyDataLayerTest_TestThreeTopConstantGaussianConstant_Test::TestBody() [with gtest_TypeParam_ = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::DummyDataLayerTest_TestOneTopConstant_Test::TestBody() [with gtest_TypeParam_ = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_euclidean_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_euclidean_loss_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_embed_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_embed_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_filler.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filler.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_filter_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filter_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_euclidean_loss_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_euclidean_loss_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::EuclideanLossLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::EuclideanLossLayerTest::TestForward() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filter_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_filter_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FilterLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FilterLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FilterLayerTest_TestReshape_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_flatten_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hdf5_output_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5_output_layer.cpp In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_flatten_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FlattenLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FlattenLayerTest_TestSetupWithAxis_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FlattenLayerTest_TestSetupWithEndAxis_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FlattenLayerTest_TestSetupWithStartAndEndAxis_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FlattenLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::FlattenLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hdf5data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5data_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hinge_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hinge_loss_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5_output_layer.cpp:3: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5_output_layer.cpp:3: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::HDF5OutputLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5data_layer.cpp:3: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5data_layer.cpp:3: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::HDF5DataLayerTest_TestRead_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hinge_loss_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hinge_loss_layer.cpp:2: /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::HDF5DataLayerTest_TestSkip_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_image_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_image_data_layer.cpp [ 78%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_infogain_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_infogain_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_infogain_loss_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_im2col_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_im2col_layer.cpp:1: /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Im2colLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Im2colLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Im2colLayerTest_TestRect_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_infogain_loss_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_internal_thread.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_internal_thread.cpp In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_infogain_loss_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::InfogainLossLayerTest_TestInfogainLoss_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_image_data_layer.cpp:4: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_image_data_layer.cpp:4: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ImageDataLayerTest_TestRead_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ImageDataLayerTest_TestResize_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::InfogainLossLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ImageDataLayerTest_TestReshape_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_io.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_io.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ImageDataLayerTest_TestShuffle_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_layer_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_layer_factory.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ImageDataLayerTest_TestSpace_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_lrn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lrn_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_inner_product_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_inner_product_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_lstm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lstm_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_math_functions.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_math_functions.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lrn_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lrn_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_maxpool_dropout_layers.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_maxpool_dropout_layers.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lstm_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lstm_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::GradientChecker::CheckGradientExhaustive(caffe::Layer*, const std::vector*>&, const std::vector*>&, int) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::GradientChecker::CheckGradientExhaustive(caffe::Layer*, const std::vector*>&, const std::vector*>&, int) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_maxpool_dropout_layers.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_maxpool_dropout_layers.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::MaxPoolingDropoutTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_multinomial_logistic_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_multinomial_logistic_loss_layer.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::MaxPoolingDropoutTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::MaxPoolingDropoutTest_TestBackward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::LSTMLayerTest_TestSetUp_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::LSTMLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /usr/include/opencv4/opencv2/core/types.hpp:53, from /usr/include/opencv4/opencv2/core.hpp:58, from /usr/include/opencv4/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++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /usr/include/opencv4/opencv2/core/types.hpp:53, from /usr/include/opencv4/opencv2/core.hpp:58, from /usr/include/opencv4/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++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_net.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_net.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_multinomial_logistic_loss_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_neuron_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_neuron_layer.cpp In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_multinomial_logistic_loss_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::MultinomialLogisticLossLayerTest_TestGradientCPU_Test::TestBody() [with gtest_TypeParam_ = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_mvn_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_mvn_layer.cpp:1: /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_pooling_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::MVNLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::MVNLayerTest_TestForwardMeanOnly_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::MVNLayerTest_TestForwardAcrossChannels_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_power_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_power_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_pooling_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_power_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::PoolingLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_power_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::PowerLayerTest::TestForward(caffe::PowerLayerTest::Dtype, caffe::PowerLayerTest::Dtype, caffe::PowerLayerTest::Dtype) [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::PoolingLayerTest_TestSetupPadded_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::PoolingLayerTest_TestSetupGlobalPooling_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_neuron_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_neuron_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | 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-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 [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_rnn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_rnn_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_scale_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reshape_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reshape_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reduction_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reduction_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ReductionLayerTest_TestSetUp_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ReductionLayerTest_TestSetUpWithAxis1_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ReductionLayerTest_TestSetUpWithAxis2_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_rnn_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_rnn_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ReductionLayerTest::TestGradient(caffe::ReductionParameter_ReductionOp, float, int) [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::GradientChecker::CheckGradientExhaustive(caffe::Layer*, const std::vector*>&, const std::vector*>&, int) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::RNNLayerTest_TestSetUp_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ReshapeLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_slice_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_softmax_with_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_sigmoid_cross_entropy_loss_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_sigmoid_cross_entropy_loss_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SigmoidCrossEntropyLossLayerTest::TestForward() [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SoftmaxLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SoftmaxLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetLossWeights(const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/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++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_solver_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver_factory.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_split_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SoftmaxWithLossLayerTest_TestForwardIgnoreLabel_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_spp_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_spp_layer.cpp [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SplitLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SplitLayerTest_Test_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_syncedmem.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_spp_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_spp_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SplitLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SPPLayerTest_TestGradient_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::SPPLayerTest_TestForwardBackward_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_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++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::CPUStochasticPoolingLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _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++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_upgrade_proto.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_upgrade_proto.cpp In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp:2: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_threshold_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_threshold_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ThresholdLayerTest_TestSetup_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp:2: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::TanHLayerTest::TestBackward(caffe::TanHLayerTest::Dtype) [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ThresholdLayerTest_Test_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::ThresholdLayerTest_Test2_Test::TestBody() [with gtest_TypeParam_ = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::TanHLayerTest::TestForward(caffe::TanHLayerTest::Dtype) [with TypeParam = caffe::CPUDevice]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:72, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tile_layer.cpp:1: /usr/include/c++/10/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++/10/bits/vector.tcc:509:5: note: parameter passing for argument of type 'std::vector >::iterator' changed in GCC 7.1 509 | vector<_Tp, _Alloc>:: | ^~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/10/vector:67, from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tile_layer.cpp:1: /usr/include/c++/10/bits/stl_vector.h: In member function 'void caffe::Layer::SetUp(const std::vector*>&, const std::vector*>&) [with Dtype = double]': /usr/include/c++/10/bits/stl_vector.h:960:18: note: parameter passing for argument of type '__gnu_cxx::__normal_iterator > >' changed in GCC 7.1 960 | _M_fill_insert(end(), __new_size - size(), __x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 98%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_util_blas.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB 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../../../lib/libcaffeproto.a /usr/lib/arm-linux-gnueabihf/libboost_system.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_thread.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_atomic.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_filesystem.so.1.74.0 -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.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_videoio.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 -lblas /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build//CMakeFiles/progress.marks make -f CMakeFiles/Makefile2 all make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[4]: Entering directory 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Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/depend.internal". Scanning dependencies of target upgrade_solver_proto_text 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]: 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]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' 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 Scanning dependencies of target extract_features make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 81%] Building CXX object tools/CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare 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/usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/upgrade_solver_proto_text.cpp [ 82%] Building CXX object tools/CMakeFiles/extract_features.dir/extract_features.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/extract_features.dir/extract_features.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/extract_features.cpp [ 84%] 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 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o -o 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/usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 -lblas /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 [ 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 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -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 /usr/lib/arm-linux-gnueabihf/libboost_system.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_thread.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_atomic.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_filesystem.so.1.74.0 -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.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_videoio.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 -lblas /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 85%] Built target upgrade_net_proto_binary 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= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake" is newer than depender 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Scanning dependencies of target convert_imageset make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/build make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 87%] Building CXX object tools/CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/convert_imageset.cpp [ 89%] 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 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -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 /usr/lib/arm-linux-gnueabihf/libboost_system.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_thread.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_atomic.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_filesystem.so.1.74.0 -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.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_videoio.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 -lblas /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 89%] Built target upgrade_solver_proto_text make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". 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/usr/lib/arm-linux-gnueabihf/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/arm-linux-gnueabihf/libopencv_highgui.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_videoio.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 -lblas /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 [100%] Linking CXX executable caffe cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.bin.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/caffe.bin.dir/caffe.cpp.o -o caffe ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/arm-linux-gnueabihf/libboost_system.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_thread.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_atomic.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_filesystem.so.1.74.0 -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.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_videoio.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgcodecs.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_imgproc.so.4.5.1 /usr/lib/arm-linux-gnueabihf/libopencv_core.so.4.5.1 -lblas /usr/lib/arm-linux-gnueabihf/libboost_python39.so.1.74.0 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' [100%] Built target convert_cifar_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe.bin [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 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/classification.dir/cpp_classification/classification.cpp.o -o cpp_classification/classification ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/arm-linux-gnueabihf/libboost_system.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_thread.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_atomic.so.1.74.0 /usr/lib/arm-linux-gnueabihf/libboost_filesystem.so.1.74.0 -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 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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. <./classcaffe_1_1WindowDataLayer.pdf> [262] [263]) (./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. <./classcaffe_1_1XavierFiller.pdf> [264]) [265] [266] (./refman.ind Underfull \hbox (badness 10000) in paragraph at lines 38--40 []| \T1/phv/m/n/10 caffe::MultinomialLogisticLossLayer$\OML/cmm/m/it/10 <$ \T1/ phv/m/n/10 Dtype $\OML/cmm/m/it/10 >$\T1/phv/m/n/10 , [267] [268] [269] [270] [271] Underfull \hbox (badness 10000) in paragraph at lines 593--595 []| \T1/phv/m/n/10 caffe::MultinomialLogisticLossLayer$\OML/cmm/m/it/10 <$ \T1/ phv/m/n/10 Dtype $\OML/cmm/m/it/10 >$\T1/phv/m/n/10 , [272] Underfull \hbox (badness 10000) in paragraph at lines 774--776 []| \T1/phv/m/n/10 caffe::MultinomialLogisticLossLayer$\OML/cmm/m/it/10 <$ \T1/ phv/m/n/10 Dtype $\OML/cmm/m/it/10 >$\T1/phv/m/n/10 , [273]) (./refman.aux) ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on refman.pdf (291 pages, 1505460 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 -j4 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j4 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[5]: Entering 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]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend [ 2%] Built target gtest make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997 && /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* Note: Randomizing tests' orders with a seed of 26233 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (3 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (2 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (11 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (3 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (166 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (171 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (3 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (5 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (41 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (2 ms) [----------] 12 tests from ArgMaxLayerTest/1 (416 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (129 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (1 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (88 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (26 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (1 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [----------] 8 tests from SliceLayerTest/1 (249 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [----------] 4 tests from BlobSimpleTest/0 (0 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (9 ms) [----------] 3 tests from TanHLayerTest/1 (9 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (117 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (14 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (275 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (314 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (38 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (278 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (68 ms) [----------] 8 tests from RMSPropSolverTest/0 (1111 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (99 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (88 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (69 ms) [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (48 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (76 ms) [----------] 5 tests from DBTest/1 (381 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (628 ms) [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [----------] 3 tests from BatchNormLayerTest/0 (628 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (27 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (31 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (62 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (50 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (25 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (30 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (11 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (81 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (10 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (31 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (109 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (70 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (16 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (79 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (27 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (68 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (66 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (31 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (31 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (19 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (7 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (65 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (35 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (12 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (24 ms) [----------] 26 tests from IOTest (1049 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (13 ms) [----------] 1 test from HDF5OutputLayerTest/0 (13 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (7 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (5018 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (1154 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (3074 ms) [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (810 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (2531 ms) [----------] 8 tests from Im2colLayerTest/0 (12611 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (7 ms) [----------] 1 test from HDF5OutputLayerTest/1 (7 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (88 ms) [----------] 1 test from LayerFactoryTest/1 (88 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (23 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (10 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (12 ms) [----------] 10 tests from EltwiseLayerTest/1 (65 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (624 ms) [----------] 3 tests from BatchNormLayerTest/1 (624 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (7 ms) [----------] 1 test from SolverTest/1 (7 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (33 ms) [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (12 ms) [----------] 2 tests from InternalThreadTest (45 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (8 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (12628 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (28 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (187 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (200 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (930 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (916 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (1728 ms) [----------] 9 tests from LSTMLayerTest/1 (16626 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (1 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (7 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (8 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (2 ms) [ RUN ] GaussianFillerTest/1.TestFill2D [ OK ] GaussianFillerTest/1.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/1.TestFill5D [ OK ] GaussianFillerTest/1.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/1.TestFill1D [ OK ] GaussianFillerTest/1.TestFill1D (1 ms) [----------] 4 tests from GaussianFillerTest/1 (4 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 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 (0 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (1 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (359 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (1 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (368 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (729 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (870 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (1114 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (493 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [----------] 6 tests from MVNLayerTest/0 (2478 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (95 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (85 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (531 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (32 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (89 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (80 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (144 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (32 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (84 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (43 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (28 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (37 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (34 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (105 ms) [----------] 14 tests from DataLayerTest/1 (1420 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double [ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (0 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/1 (0 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (75 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (74 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (95 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (234 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (202 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (288 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (16 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (118 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (43 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (130 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (199 ms) [----------] 12 tests from NesterovSolverTest/1 (1497 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) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (0 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1918 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (1 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (2739 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (1982 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (1 ms) [----------] 8 tests from LRNLayerTest/0 (6645 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (4 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (570 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (195 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (480 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (1 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (336 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (350 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (22 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (4 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (288 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (270 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms) [----------] 20 tests from BiasLayerTest/0 (2522 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (4813 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (790 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (1 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (1314 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [----------] 11 tests from CropLayerTest/1 (6918 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (6 ms) [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (1 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (7 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) [----------] 2 tests from CommonTest [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (0 ms) [----------] 2 tests from CommonTest (0 ms total) [----------] 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 (0 ms) [----------] 2 tests from HingeLossLayerTest/1 (1 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (7 ms) [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (1 ms) [----------] 6 tests from FlattenLayerTest/0 (8 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (104 ms) [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (31 ms) [----------] 2 tests from HDF5DataLayerTest/0 (135 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (143 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (107 ms) [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (110 ms) [----------] 6 tests from XavierFillerTest/0 (360 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (55 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (35 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (27 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (118 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.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (1 ms) [----------] 4 tests from GaussianFillerTest/0 (3 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (4 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (77 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) [----------] 5 tests from MemoryDataLayerTest/0 (83 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (2 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (105 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (2 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (11 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (2 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (3 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (164 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (2 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (19 ms) [----------] 12 tests from ArgMaxLayerTest/0 (322 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (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.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (1 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (1 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (0 ms) [----------] 12 tests from DataTransformTest/0 (2 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill5D [ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (1 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (802 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (479 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (247 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (159 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (198 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (225 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (203 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (151 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (11 ms) [----------] 22 tests from ScaleLayerTest/0 (2479 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (277 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (89 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (89 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (292 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (327 ms) [----------] 5 tests from ImageDataLayerTest/0 (1074 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (1 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (7023 ms) [----------] 5 tests from SPPLayerTest/1 (7024 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (49 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (222 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (43 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (43 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (218 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (39 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [----------] 8 tests from AdamSolverTest/0 (628 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (11 ms) [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (10 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (10 ms) [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (11 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (13 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [----------] 10 tests from EltwiseLayerTest/0 (55 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (1 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (26 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (72 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (84 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [----------] 8 tests from SliceLayerTest/0 (184 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (12 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (59 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (25 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (9 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (16 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (58 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (52 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (10 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (201 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (63 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (17 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (43 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (59 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (9 ms) [----------] 14 tests from DataLayerTest/0 (633 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 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.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (7 ms total) [----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/1.TestInfogainLoss [ OK ] InfogainLossLayerTest/1.TestInfogainLoss (1 ms) [ RUN ] InfogainLossLayerTest/1.TestGradient [ OK ] InfogainLossLayerTest/1.TestGradient (4 ms) [----------] 2 tests from InfogainLossLayerTest/1 (5 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (10 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (244 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (243 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (2151 ms) [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (3 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (471 ms) [----------] 6 tests from RNNLayerTest/1 (3123 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/1, where TypeParam = double [ RUN ] CPUStochasticPoolingLayerTest/1.TestSetup [ OK ] CPUStochasticPoolingLayerTest/1.TestSetup (1 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/1 (1 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (24 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (23 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (24 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (72 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) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (1 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (6 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (1 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (7 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (4 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (9 ms) [----------] 10 tests from ConcatLayerTest/1 (29 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) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (474 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (485 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (1 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (141 ms) [----------] 7 tests from TileLayerTest/0 (1101 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (611 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (574 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (1187 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (4 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (2 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (6 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (284 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (1 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (174 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (186 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (202 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (207 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (9 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (485 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (1 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (213 ms) [----------] 20 tests from BiasLayerTest/1 (1764 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (2556 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (3358 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (540 ms) [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (6455 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (4 ms) [----------] 1 test from SolverTypeUpgradeTest (4 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.Test [ OK ] SplitLayerTest/1.Test (0 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (15 ms) [----------] 3 tests from SplitLayerTest/1 (15 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (48 ms) [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (50 ms) [----------] 2 tests from BilinearFillerTest/1 (98 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (16 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (73 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (382 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (401 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (79 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (109 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (18 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (132 ms) [----------] 8 tests from AdamSolverTest/1 (1212 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (352 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (348 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (347 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [----------] 6 tests from MSRAFillerTest/1 (1051 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (301 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (304 ms) [----------] 5 tests from BenchmarkTest/1 (605 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (183 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (591 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (622 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (624 ms) [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (183 ms) [----------] 5 tests from ImageDataLayerTest/1 (2203 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (12283 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (1 ms) [----------] 5 tests from SPPLayerTest/0 (12285 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (4 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (197 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (11964 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (17 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (181 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (1030 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (2234 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (1143 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (2 ms) [----------] 9 tests from LSTMLayerTest/0 (16779 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (1 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [----------] 4 tests from UniformFillerTest/0 (1 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (139 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (193 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (121 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [----------] 6 tests from XavierFillerTest/1 (453 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (924 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (6730 ms) [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (1971 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (1 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [----------] 11 tests from CropLayerTest/0 (9626 ms total) [----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/0.TestCreateSolver [ OK ] SolverFactoryTest/0.TestCreateSolver (6 ms) [----------] 1 test from SolverFactoryTest/0 (6 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (8 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (10 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (18 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (14 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (12 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (16 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (9 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (96 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (7 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (7 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (82 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (378 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (42 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (10 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (47 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (111 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (402 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (71 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [----------] 9 tests from AdaGradSolverTest/1 (1150 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (41 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (70 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (409 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (382 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (78 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (11 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (13 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (96 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (74 ms) [----------] 9 tests from AdaGradSolverTest/0 (1185 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (22 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (8 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (2 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (6 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (4 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (9 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (5 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (3 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (2 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (2 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (9 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (3 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (2 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (1 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (2 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (10 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (2 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (2 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (7 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (1 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (1 ms) [----------] 26 tests from NetTest/0 (118 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill1D [ OK ] ConstantFillerTest/0.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill2D [ OK ] ConstantFillerTest/0.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill5D [ OK ] ConstantFillerTest/0.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [----------] 4 tests from ConstantFillerTest/0 (0 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (2 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (3 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (2 ms) [----------] 27 tests from ReductionLayerTest/1 (22 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (260 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (1 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (452 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [----------] 9 tests from InnerProductLayerTest/0 (714 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (22 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (28 ms) [----------] 5 tests from EmbedLayerTest/1 (50 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (46 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (122 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (452 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (118 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (390 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (143 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (13 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (77 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (393 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (72 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (1835 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (1 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (2442 ms) [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (3924 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (1042 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (3627 ms) [----------] 11 tests from PoolingLayerTest/1 (11036 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (1 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (1279 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (1256 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (2536 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (4118 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (2820 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (2803 ms) [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [----------] 8 tests from LRNLayerTest/1 (9744 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (30 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (37 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [----------] 5 tests from EmbedLayerTest/0 (75 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (5 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (6 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (5 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [----------] 27 tests from ReductionLayerTest/0 (33 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (10 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (12 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (10 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (9 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (7 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (10 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (18 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (15 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (15 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (13 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (1 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (15 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (13 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (14 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (9 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (460 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (15 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (8 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (7 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (9 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (4 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (303 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (1 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (7 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (9 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [----------] 58 tests from NeuronLayerTest/1 (1034 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (0 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (93 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (127 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (139 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (107 ms) [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (146 ms) [----------] 5 tests from DBTest/0 (612 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (458 ms) [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/1 (458 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (48 ms) [----------] 1 test from LayerFactoryTest/0 (48 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (5 ms) [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (2 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (3 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (93 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (5 ms) [----------] 5 tests from MemoryDataLayerTest/1 (108 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (5 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (7 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (8 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (13 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (1 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (3 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (8 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (2 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (2 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (2 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (3 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (3 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (2 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (2 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (2 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (10 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (2 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (9 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (4 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (3 ms) [----------] 26 tests from NetTest/1 (92 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (41 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (81 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (204 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (210 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (215 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (81 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (41 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (370 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (9 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (104 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (72 ms) [----------] 12 tests from NesterovSolverTest/0 (1436 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (12 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (18 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (16 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (17 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (11 ms) [----------] 10 tests from PowerLayerTest/1 (83 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (1 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (2 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (8 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [----------] 9 tests from AccuracyLayerTest/0 (14 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (2926 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (1688 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (819 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (5433 ms total) [----------] 1 test from ProtoTest [ RUN ] ProtoTest.TestSerialization Printing in binary format. testTest Printing in text format. name: "test" type: "Test" [ OK ] ProtoTest.TestSerialization (1 ms) [----------] 1 test from ProtoTest (1 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (5 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) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (1 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (1 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [----------] 12 tests from DataTransformTest/1 (3 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (2 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (244 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (19 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (502 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (404 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (2742 ms) [----------] 6 tests from RNNLayerTest/0 (3913 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (333 ms) [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/1 (333 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (15 ms) [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/0 (15 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 (884 ms) [----------] 3 tests from FilterLayerTest/0 (885 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (1 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (15 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (7 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (8 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (16 ms) [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (15 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (16 ms) [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [----------] 10 tests from PowerLayerTest/0 (78 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (4 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (2093 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (1258 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (3511 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (6322 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (965 ms) [----------] 8 tests from Im2colLayerTest/1 (14154 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (949 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 (950 ms total) [----------] 3 tests from SyncedMemoryTest [ RUN ] SyncedMemoryTest.TestInitialization [ OK ] SyncedMemoryTest.TestInitialization (0 ms) [ RUN ] SyncedMemoryTest.TestAllocationCPU [ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) [ RUN ] SyncedMemoryTest.TestCPUWrite [ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) [----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (0 ms) [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (468 ms) [----------] 2 tests from SoftmaxLayerTest/0 (468 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 (5 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (5 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (1 ms) [----------] 8 tests from SplitLayerInsertionTest (10 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (7 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (1 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (9 ms) [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (5 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (6 ms) [----------] 10 tests from ConcatLayerTest/0 (28 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (206 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (602 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (613 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (1 ms) [----------] 7 tests from TileLayerTest/1 (1422 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (1132 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (4 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (42 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (1 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (47 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (5 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (1617 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (26 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (1362 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (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.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (178 ms) [----------] 15 tests from ConvolutionLayerTest/0 (4416 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (11 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (10 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (8 ms) [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (8 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (12 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (11 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (10 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (71 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (37 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (37 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (77 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (193 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (191 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (9 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (76 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (197 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (56 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (45 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (195 ms) [----------] 12 tests from SGDSolverTest/1 (1123 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (196 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (43 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (36 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (53 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (356 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (22 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (16 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (401 ms) [----------] 8 tests from RMSPropSolverTest/1 (1127 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (6 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (1 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (1 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (1 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (4 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (1 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (6 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [----------] 20 tests from FilterNetTest (24 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (98 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (1706 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (1 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (5 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (1 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (9 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (48 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (1986 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (4 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (2101 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (28 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (188 ms) [----------] 15 tests from ConvolutionLayerTest/1 (6176 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (21 ms) [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (61 ms) [----------] 2 tests from HDF5DataLayerTest/1 (82 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) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (22 ms) [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (30 ms) [----------] 2 tests from BilinearFillerTest/0 (52 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 (301 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [----------] 5 tests from BenchmarkTest/0 (605 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (169 ms) [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (122 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (123 ms) [----------] 6 tests from MSRAFillerTest/0 (414 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (1 ms) [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (7 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (8 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (2 ms) [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (2 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (2 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (10 ms) [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [----------] 9 tests from AccuracyLayerTest/1 (19 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) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (82 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (41 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (236 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (229 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (243 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (44 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (42 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (232 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (90 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (53 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) [----------] 12 tests from SGDSolverTest/0 (1308 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (502 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (1 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (2020 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (1797 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (2146 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [----------] 11 tests from PoolingLayerTest/0 (6466 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (6 ms) [----------] 3 tests from PaddingLayerUpgradeTest (8 ms total) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (0 ms) [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (300 ms) [----------] 2 tests from BatchReindexLayerTest/0 (300 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (11 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (4 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (1 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (382 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (11 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (7 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (5 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (11 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (5 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (6 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (5 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (1 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (7 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (6 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (7 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (8 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (7 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (1 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (6 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (9 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (6 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (421 ms) [----------] 58 tests from NeuronLayerTest/0 (973 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (54 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (98 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (63 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (302 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (98 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (98 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (11 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (205 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (41 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (9 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (196 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (1176 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (9 ms) [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [----------] 3 tests from TanHLayerTest/0 (9 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (1544 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (539 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (1591 ms) [----------] 6 tests from MVNLayerTest/1 (3684 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (4 ms) [----------] 1 test from SolverTest/0 (9 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (452 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (888 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (660 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (318 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (421 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (263 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (13 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (184 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (221 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (1 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [----------] 22 tests from ScaleLayerTest/1 (3425 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (1 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (3 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (52 ms) [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (2 ms) [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (18 ms) [----------] 4 tests from NetUpgradeTest (75 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (219123 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pytest make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 CMakeFiles/pytest.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/pytest.dir/DependInfo.cmake --color= Scanning dependencies of target pytest make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test Matplotlib is building the font cache; this may take a moment. .../build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead. self.assertEquals(ax, 1) ................WARNING: Logging before InitGoogleLogging() is written to STDERR I0912 11:16:11.337898 11886 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0912 11:16:11.337970 11886 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I0912 11:16:11.337996 11886 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0912 11:16:11.338006 11886 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I0912 11:16:11.338021 11886 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" } } I0912 11:16:11.338196 11886 layer_factory.hpp:77] Creating layer deploy_data I0912 11:16:11.338238 11886 net.cpp:86] Creating Layer deploy_data I0912 11:16:11.338258 11886 net.cpp:382] deploy_data -> data I0912 11:16:11.338312 11886 net.cpp:124] Setting up deploy_data I0912 11:16:11.338328 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.338347 11886 net.cpp:139] Memory required for data: 400 I0912 11:16:11.338359 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.338382 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.338395 11886 net.cpp:408] ip <- data I0912 11:16:11.338413 11886 net.cpp:382] ip -> ip I0912 11:16:11.338471 11886 net.cpp:124] Setting up ip I0912 11:16:11.338486 11886 net.cpp:131] Top shape: 1 2 (2) I0912 11:16:11.338500 11886 net.cpp:139] Memory required for data: 408 I0912 11:16:11.338526 11886 layer_factory.hpp:77] Creating layer pred I0912 11:16:11.338549 11886 net.cpp:86] Creating Layer pred I0912 11:16:11.338562 11886 net.cpp:408] pred <- ip I0912 11:16:11.338582 11886 net.cpp:382] pred -> pred I0912 11:16:11.338626 11886 net.cpp:124] Setting up pred I0912 11:16:11.338642 11886 net.cpp:131] Top shape: 1 2 (2) I0912 11:16:11.338657 11886 net.cpp:139] Memory required for data: 416 I0912 11:16:11.338668 11886 net.cpp:202] pred does not need backward computation. I0912 11:16:11.338680 11886 net.cpp:202] ip does not need backward computation. I0912 11:16:11.338690 11886 net.cpp:202] deploy_data does not need backward computation. I0912 11:16:11.338698 11886 net.cpp:244] This network produces output pred I0912 11:16:11.338714 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.341827 11886 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I0912 11:16:11.341879 11886 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I0912 11:16:11.341904 11886 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I0912 11:16:11.341919 11886 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" } } I0912 11:16:11.342103 11886 layer_factory.hpp:77] Creating layer train_data I0912 11:16:11.342139 11886 net.cpp:86] Creating Layer train_data I0912 11:16:11.342159 11886 net.cpp:382] train_data -> data I0912 11:16:11.342183 11886 net.cpp:382] train_data -> label I0912 11:16:11.342219 11886 net.cpp:124] Setting up train_data I0912 11:16:11.342231 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.342245 11886 net.cpp:131] Top shape: 1 1 1 1 (1) I0912 11:16:11.342257 11886 net.cpp:139] Memory required for data: 404 I0912 11:16:11.342267 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.342283 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.342294 11886 net.cpp:408] ip <- data I0912 11:16:11.342314 11886 net.cpp:382] ip -> ip I0912 11:16:11.342353 11886 net.cpp:124] Setting up ip I0912 11:16:11.342367 11886 net.cpp:131] Top shape: 1 2 (2) I0912 11:16:11.342381 11886 net.cpp:139] Memory required for data: 412 I0912 11:16:11.342403 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.342423 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.342434 11886 net.cpp:408] loss <- ip I0912 11:16:11.342447 11886 net.cpp:408] loss <- label I0912 11:16:11.342466 11886 net.cpp:382] loss -> loss I0912 11:16:11.342507 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.342548 11886 net.cpp:124] Setting up loss I0912 11:16:11.342559 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.342569 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.342595 11886 net.cpp:139] Memory required for data: 416 I0912 11:16:11.342607 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.342619 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.342631 11886 net.cpp:202] train_data does not need backward computation. I0912 11:16:11.342643 11886 net.cpp:244] This network produces output loss I0912 11:16:11.342656 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.344383 11886 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0912 11:16:11.344409 11886 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I0912 11:16:11.344422 11886 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0912 11:16:11.344436 11886 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I0912 11:16:11.344446 11886 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" } } I0912 11:16:11.344650 11886 layer_factory.hpp:77] Creating layer val_data I0912 11:16:11.344683 11886 net.cpp:86] Creating Layer val_data I0912 11:16:11.344702 11886 net.cpp:382] val_data -> data I0912 11:16:11.344729 11886 net.cpp:382] val_data -> label I0912 11:16:11.344767 11886 net.cpp:124] Setting up val_data I0912 11:16:11.344782 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.344799 11886 net.cpp:131] Top shape: 1 1 1 1 (1) I0912 11:16:11.344811 11886 net.cpp:139] Memory required for data: 404 I0912 11:16:11.344822 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.344842 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.344856 11886 net.cpp:408] ip <- data I0912 11:16:11.344874 11886 net.cpp:382] ip -> ip I0912 11:16:11.344915 11886 net.cpp:124] Setting up ip I0912 11:16:11.344929 11886 net.cpp:131] Top shape: 1 2 (2) I0912 11:16:11.344944 11886 net.cpp:139] Memory required for data: 412 I0912 11:16:11.344967 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.344990 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.345001 11886 net.cpp:408] loss <- ip I0912 11:16:11.345013 11886 net.cpp:408] loss <- label I0912 11:16:11.345031 11886 net.cpp:382] loss -> loss I0912 11:16:11.345052 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.345091 11886 net.cpp:124] Setting up loss I0912 11:16:11.345103 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.345117 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.345139 11886 net.cpp:139] Memory required for data: 416 I0912 11:16:11.345151 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.345165 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.345176 11886 net.cpp:202] val_data does not need backward computation. I0912 11:16:11.345185 11886 net.cpp:244] This network produces output loss I0912 11:16:11.345201 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.347716 11886 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I0912 11:16:11.347743 11886 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I0912 11:16:11.347755 11886 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 } } I0912 11:16:11.347934 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.347954 11886 net.cpp:86] Creating Layer data I0912 11:16:11.347967 11886 net.cpp:382] data -> data I0912 11:16:11.347998 11886 net.cpp:124] Setting up data I0912 11:16:11.348009 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.348021 11886 net.cpp:139] Memory required for data: 400 I0912 11:16:11.348031 11886 layer_factory.hpp:77] Creating layer data_data_0_split I0912 11:16:11.348047 11886 net.cpp:86] Creating Layer data_data_0_split I0912 11:16:11.348057 11886 net.cpp:408] data_data_0_split <- data I0912 11:16:11.348073 11886 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0912 11:16:11.348093 11886 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0912 11:16:11.348114 11886 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0912 11:16:11.348138 11886 net.cpp:124] Setting up data_data_0_split I0912 11:16:11.348151 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.348165 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.348176 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.348186 11886 net.cpp:139] Memory required for data: 1600 I0912 11:16:11.348194 11886 layer_factory.hpp:77] Creating layer NoLevel I0912 11:16:11.348210 11886 net.cpp:86] Creating Layer NoLevel I0912 11:16:11.348223 11886 net.cpp:408] NoLevel <- data_data_0_split_0 I0912 11:16:11.348242 11886 net.cpp:382] NoLevel -> NoLevel I0912 11:16:11.348281 11886 net.cpp:124] Setting up NoLevel I0912 11:16:11.348296 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.348311 11886 net.cpp:139] Memory required for data: 1604 I0912 11:16:11.348335 11886 layer_factory.hpp:77] Creating layer Level0Only I0912 11:16:11.348357 11886 net.cpp:86] Creating Layer Level0Only I0912 11:16:11.348368 11886 net.cpp:408] Level0Only <- data_data_0_split_1 I0912 11:16:11.348384 11886 net.cpp:382] Level0Only -> Level0Only I0912 11:16:11.348417 11886 net.cpp:124] Setting up Level0Only I0912 11:16:11.348426 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.348438 11886 net.cpp:139] Memory required for data: 1608 I0912 11:16:11.348453 11886 layer_factory.hpp:77] Creating layer Level>=0 I0912 11:16:11.348479 11886 net.cpp:86] Creating Layer Level>=0 I0912 11:16:11.348489 11886 net.cpp:408] Level>=0 <- data_data_0_split_2 I0912 11:16:11.348503 11886 net.cpp:382] Level>=0 -> Level>=0 I0912 11:16:11.348531 11886 net.cpp:124] Setting up Level>=0 I0912 11:16:11.348542 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.348556 11886 net.cpp:139] Memory required for data: 1612 I0912 11:16:11.348580 11886 net.cpp:202] Level>=0 does not need backward computation. I0912 11:16:11.348595 11886 net.cpp:202] Level0Only does not need backward computation. I0912 11:16:11.348628 11886 net.cpp:202] NoLevel does not need backward computation. I0912 11:16:11.348644 11886 net.cpp:202] data_data_0_split does not need backward computation. I0912 11:16:11.348654 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.348662 11886 net.cpp:244] This network produces output Level0Only I0912 11:16:11.348676 11886 net.cpp:244] This network produces output Level>=0 I0912 11:16:11.348688 11886 net.cpp:244] This network produces output NoLevel I0912 11:16:11.348708 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.350549 11886 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I0912 11:16:11.350592 11886 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 } } I0912 11:16:11.350788 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.350813 11886 net.cpp:86] Creating Layer data I0912 11:16:11.350831 11886 net.cpp:382] data -> data I0912 11:16:11.350862 11886 net.cpp:124] Setting up data I0912 11:16:11.350874 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.350886 11886 net.cpp:139] Memory required for data: 400 I0912 11:16:11.350898 11886 layer_factory.hpp:77] Creating layer data_data_0_split I0912 11:16:11.350919 11886 net.cpp:86] Creating Layer data_data_0_split I0912 11:16:11.350932 11886 net.cpp:408] data_data_0_split <- data I0912 11:16:11.350950 11886 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0912 11:16:11.350970 11886 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0912 11:16:11.350991 11886 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0912 11:16:11.351011 11886 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0912 11:16:11.351037 11886 net.cpp:124] Setting up data_data_0_split I0912 11:16:11.351048 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.351064 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.351078 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.351089 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.351100 11886 net.cpp:139] Memory required for data: 2000 I0912 11:16:11.351109 11886 layer_factory.hpp:77] Creating layer NoLevel I0912 11:16:11.351127 11886 net.cpp:86] Creating Layer NoLevel I0912 11:16:11.351137 11886 net.cpp:408] NoLevel <- data_data_0_split_0 I0912 11:16:11.351155 11886 net.cpp:382] NoLevel -> NoLevel I0912 11:16:11.351191 11886 net.cpp:124] Setting up NoLevel I0912 11:16:11.351203 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.351217 11886 net.cpp:139] Memory required for data: 2004 I0912 11:16:11.351239 11886 layer_factory.hpp:77] Creating layer Level1Only I0912 11:16:11.351259 11886 net.cpp:86] Creating Layer Level1Only I0912 11:16:11.351271 11886 net.cpp:408] Level1Only <- data_data_0_split_1 I0912 11:16:11.351289 11886 net.cpp:382] Level1Only -> Level1Only I0912 11:16:11.351323 11886 net.cpp:124] Setting up Level1Only I0912 11:16:11.351336 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.351349 11886 net.cpp:139] Memory required for data: 2008 I0912 11:16:11.351370 11886 layer_factory.hpp:77] Creating layer Level>=0 I0912 11:16:11.351390 11886 net.cpp:86] Creating Layer Level>=0 I0912 11:16:11.351402 11886 net.cpp:408] Level>=0 <- data_data_0_split_2 I0912 11:16:11.351419 11886 net.cpp:382] Level>=0 -> Level>=0 I0912 11:16:11.351454 11886 net.cpp:124] Setting up Level>=0 I0912 11:16:11.351467 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.351481 11886 net.cpp:139] Memory required for data: 2012 I0912 11:16:11.351503 11886 layer_factory.hpp:77] Creating layer Level>=1 I0912 11:16:11.351528 11886 net.cpp:86] Creating Layer Level>=1 I0912 11:16:11.351542 11886 net.cpp:408] Level>=1 <- data_data_0_split_3 I0912 11:16:11.351562 11886 net.cpp:382] Level>=1 -> Level>=1 I0912 11:16:11.351603 11886 net.cpp:124] Setting up Level>=1 I0912 11:16:11.351624 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.351640 11886 net.cpp:139] Memory required for data: 2016 I0912 11:16:11.351658 11886 net.cpp:202] Level>=1 does not need backward computation. I0912 11:16:11.351670 11886 net.cpp:202] Level>=0 does not need backward computation. I0912 11:16:11.351686 11886 net.cpp:202] Level1Only does not need backward computation. I0912 11:16:11.351698 11886 net.cpp:202] NoLevel does not need backward computation. I0912 11:16:11.351713 11886 net.cpp:202] data_data_0_split does not need backward computation. I0912 11:16:11.351727 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.351737 11886 net.cpp:244] This network produces output Level1Only I0912 11:16:11.351750 11886 net.cpp:244] This network produces output Level>=0 I0912 11:16:11.351765 11886 net.cpp:244] This network produces output Level>=1 I0912 11:16:11.351779 11886 net.cpp:244] This network produces output NoLevel I0912 11:16:11.351805 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.354094 11886 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" } I0912 11:16:11.354382 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.354411 11886 net.cpp:86] Creating Layer data I0912 11:16:11.354432 11886 net.cpp:382] data -> data I0912 11:16:11.354458 11886 net.cpp:382] data -> label I0912 11:16:11.354492 11886 net.cpp:124] Setting up data I0912 11:16:11.354506 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.354521 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.354534 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.354545 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.354573 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.354585 11886 net.cpp:408] conv <- data I0912 11:16:11.354606 11886 net.cpp:382] conv -> conv I0912 11:16:11.354789 11886 net.cpp:124] Setting up conv I0912 11:16:11.354808 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.354822 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.354846 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.354863 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.354874 11886 net.cpp:408] ip <- conv I0912 11:16:11.354892 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.355227 11886 net.cpp:124] Setting up ip I0912 11:16:11.355250 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.355268 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.355293 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.355310 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.355320 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.355334 11886 net.cpp:408] loss <- label I0912 11:16:11.355350 11886 net.cpp:382] loss -> loss I0912 11:16:11.355373 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.355415 11886 net.cpp:124] Setting up loss I0912 11:16:11.355430 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.355444 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.355468 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.355481 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.355495 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.355506 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.355517 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.355527 11886 net.cpp:244] This network produces output loss I0912 11:16:11.355546 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.361852 11886 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" } I0912 11:16:11.362185 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.362218 11886 net.cpp:86] Creating Layer data I0912 11:16:11.362238 11886 net.cpp:382] data -> data I0912 11:16:11.362264 11886 net.cpp:382] data -> label I0912 11:16:11.362298 11886 net.cpp:124] Setting up data I0912 11:16:11.362309 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.362324 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.362336 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.362346 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.362371 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.362385 11886 net.cpp:408] conv <- data I0912 11:16:11.362403 11886 net.cpp:382] conv -> conv I0912 11:16:11.362471 11886 net.cpp:124] Setting up conv I0912 11:16:11.362485 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.362500 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.362529 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.362555 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.362565 11886 net.cpp:408] ip <- conv I0912 11:16:11.362586 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.362903 11886 net.cpp:124] Setting up ip I0912 11:16:11.362919 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.362933 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.362953 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.362972 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.362982 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.362995 11886 net.cpp:408] loss <- label I0912 11:16:11.363009 11886 net.cpp:382] loss -> loss I0912 11:16:11.363027 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.363065 11886 net.cpp:124] Setting up loss I0912 11:16:11.363076 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.363087 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.363104 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.363113 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.363123 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.363133 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.363143 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.363152 11886 net.cpp:244] This network produces output loss I0912 11:16:11.363168 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.367123 11886 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" } I0912 11:16:11.367367 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.367393 11886 net.cpp:86] Creating Layer data I0912 11:16:11.367410 11886 net.cpp:382] data -> data I0912 11:16:11.367434 11886 net.cpp:382] data -> label I0912 11:16:11.367465 11886 net.cpp:124] Setting up data I0912 11:16:11.367476 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.367491 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.367503 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.367516 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.367540 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.367552 11886 net.cpp:408] conv <- data I0912 11:16:11.367569 11886 net.cpp:382] conv -> conv I0912 11:16:11.367635 11886 net.cpp:124] Setting up conv I0912 11:16:11.367647 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.367659 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.367679 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.367695 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.367705 11886 net.cpp:408] ip <- conv I0912 11:16:11.367720 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.368031 11886 net.cpp:124] Setting up ip I0912 11:16:11.368043 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.368055 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.368072 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.368088 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.368098 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.368108 11886 net.cpp:408] loss <- label I0912 11:16:11.368122 11886 net.cpp:382] loss -> loss I0912 11:16:11.368141 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.368172 11886 net.cpp:124] Setting up loss I0912 11:16:11.368183 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.368194 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.368211 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.368221 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.368230 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.368242 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.368250 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.368261 11886 net.cpp:244] This network produces output loss I0912 11:16:11.368276 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.371583 11886 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" } I0912 11:16:11.371837 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.371867 11886 net.cpp:86] Creating Layer data I0912 11:16:11.371889 11886 net.cpp:382] data -> data I0912 11:16:11.371914 11886 net.cpp:382] data -> label I0912 11:16:11.371946 11886 net.cpp:124] Setting up data I0912 11:16:11.371959 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.371974 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.371986 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.371996 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.372020 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.372031 11886 net.cpp:408] conv <- data I0912 11:16:11.372049 11886 net.cpp:382] conv -> conv I0912 11:16:11.372112 11886 net.cpp:124] Setting up conv I0912 11:16:11.372125 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.372138 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.372159 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.372176 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.372186 11886 net.cpp:408] ip <- conv I0912 11:16:11.372202 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.372514 11886 net.cpp:124] Setting up ip I0912 11:16:11.372530 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.372543 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.372563 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.372581 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.372591 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.372602 11886 net.cpp:408] loss <- label I0912 11:16:11.372644 11886 net.cpp:382] loss -> loss I0912 11:16:11.372668 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.372706 11886 net.cpp:124] Setting up loss I0912 11:16:11.372718 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.372730 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.372748 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.372759 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.372771 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.372782 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.372793 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.372803 11886 net.cpp:244] This network produces output loss I0912 11:16:11.372818 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.377535 11886 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" } I0912 11:16:11.377813 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.377846 11886 net.cpp:86] Creating Layer data I0912 11:16:11.377864 11886 net.cpp:382] data -> data I0912 11:16:11.377892 11886 net.cpp:382] data -> label I0912 11:16:11.377928 11886 net.cpp:124] Setting up data I0912 11:16:11.377943 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.377960 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.377972 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.377983 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.378013 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.378026 11886 net.cpp:408] conv <- data I0912 11:16:11.378046 11886 net.cpp:382] conv -> conv I0912 11:16:11.378113 11886 net.cpp:124] Setting up conv I0912 11:16:11.378126 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.378139 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.378161 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.378180 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.378191 11886 net.cpp:408] ip <- conv I0912 11:16:11.378208 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.378525 11886 net.cpp:124] Setting up ip I0912 11:16:11.378542 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.378557 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.378580 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.378600 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.378613 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.378626 11886 net.cpp:408] loss <- label I0912 11:16:11.378641 11886 net.cpp:382] loss -> loss I0912 11:16:11.378664 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.378700 11886 net.cpp:124] Setting up loss I0912 11:16:11.378713 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.378726 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.378744 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.378755 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.378767 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.378777 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.378788 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.378798 11886 net.cpp:244] This network produces output loss I0912 11:16:11.378815 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.380909 11886 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" } I0912 11:16:11.381158 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.381187 11886 net.cpp:86] Creating Layer data I0912 11:16:11.381204 11886 net.cpp:382] data -> data I0912 11:16:11.381228 11886 net.cpp:382] data -> label I0912 11:16:11.381650 11886 net.cpp:124] Setting up data I0912 11:16:11.381683 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.381700 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.381712 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.381723 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.381752 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.381764 11886 net.cpp:408] conv <- data I0912 11:16:11.381784 11886 net.cpp:382] conv -> conv I0912 11:16:11.381855 11886 net.cpp:124] Setting up conv I0912 11:16:11.381870 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.381883 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.381907 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.381928 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.381940 11886 net.cpp:408] ip <- conv I0912 11:16:11.381958 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.382272 11886 net.cpp:124] Setting up ip I0912 11:16:11.382287 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.382300 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.382320 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.382337 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.382346 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.382357 11886 net.cpp:408] loss <- label I0912 11:16:11.382372 11886 net.cpp:382] loss -> loss I0912 11:16:11.382391 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.382426 11886 net.cpp:124] Setting up loss I0912 11:16:11.382436 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.382447 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.382467 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.382477 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.382488 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.382498 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.382508 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.382516 11886 net.cpp:244] This network produces output loss I0912 11:16:11.382530 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.384820 11886 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" } I0912 11:16:11.385080 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.385111 11886 net.cpp:86] Creating Layer data I0912 11:16:11.385133 11886 net.cpp:382] data -> data I0912 11:16:11.385157 11886 net.cpp:382] data -> label I0912 11:16:11.385190 11886 net.cpp:124] Setting up data I0912 11:16:11.385203 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.385218 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.385231 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.385241 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.385620 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.385637 11886 net.cpp:408] conv <- data I0912 11:16:11.385658 11886 net.cpp:382] conv -> conv I0912 11:16:11.385730 11886 net.cpp:124] Setting up conv I0912 11:16:11.385747 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.385761 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.385784 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.385804 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.385816 11886 net.cpp:408] ip <- conv I0912 11:16:11.385834 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.386157 11886 net.cpp:124] Setting up ip I0912 11:16:11.386178 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.386190 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.386211 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.386229 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.386240 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.386250 11886 net.cpp:408] loss <- label I0912 11:16:11.386263 11886 net.cpp:382] loss -> loss I0912 11:16:11.386283 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.386320 11886 net.cpp:124] Setting up loss I0912 11:16:11.386333 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.386344 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.386364 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.386374 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.386385 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.386396 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.386407 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.386417 11886 net.cpp:244] This network produces output loss I0912 11:16:11.386431 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.389720 11886 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" } I0912 11:16:11.390010 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.390044 11886 net.cpp:86] Creating Layer data I0912 11:16:11.390064 11886 net.cpp:382] data -> data I0912 11:16:11.390089 11886 net.cpp:382] data -> label I0912 11:16:11.390123 11886 net.cpp:124] Setting up data I0912 11:16:11.390138 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.390154 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.390166 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.390178 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.390205 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.390218 11886 net.cpp:408] conv <- data I0912 11:16:11.390239 11886 net.cpp:382] conv -> conv I0912 11:16:11.390309 11886 net.cpp:124] Setting up conv I0912 11:16:11.390326 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.390341 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.390364 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.390384 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.390395 11886 net.cpp:408] ip <- conv I0912 11:16:11.390414 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.390733 11886 net.cpp:124] Setting up ip I0912 11:16:11.390751 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.390767 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.390790 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.390812 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.390823 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.390838 11886 net.cpp:408] loss <- label I0912 11:16:11.390856 11886 net.cpp:382] loss -> loss I0912 11:16:11.390877 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.390916 11886 net.cpp:124] Setting up loss I0912 11:16:11.390928 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.390939 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.390957 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.390970 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.390985 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.390995 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.391008 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.391019 11886 net.cpp:244] This network produces output loss I0912 11:16:11.391034 11886 net.cpp:257] Network initialization done. W0912 11:16:11.393846 11886 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W0912 11:16:11.393887 11886 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W0912 11:16:11.393898 11886 _caffe.cpp:142] Net('/tmp/tmp6a4zlwxl', 0, weights='/tmp/tmp773wzdvm') I0912 11:16:11.394279 11886 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" } I0912 11:16:11.394523 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.394563 11886 net.cpp:86] Creating Layer data I0912 11:16:11.394585 11886 net.cpp:382] data -> data I0912 11:16:11.394613 11886 net.cpp:382] data -> label I0912 11:16:11.394647 11886 net.cpp:124] Setting up data I0912 11:16:11.394663 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.394680 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.394691 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.394701 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.394724 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.394737 11886 net.cpp:408] conv <- data I0912 11:16:11.394757 11886 net.cpp:382] conv -> conv I0912 11:16:11.394837 11886 net.cpp:124] Setting up conv I0912 11:16:11.394853 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.394870 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.394894 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.394917 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.394928 11886 net.cpp:408] ip <- conv I0912 11:16:11.394948 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.395267 11886 net.cpp:124] Setting up ip I0912 11:16:11.395283 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.395296 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.395316 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.395341 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.395352 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.395363 11886 net.cpp:408] loss <- label I0912 11:16:11.395378 11886 net.cpp:382] loss -> loss I0912 11:16:11.395397 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.395437 11886 net.cpp:124] Setting up loss I0912 11:16:11.395448 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.395459 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.395476 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.395486 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.395498 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.395509 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.395517 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.395527 11886 net.cpp:244] This network produces output loss I0912 11:16:11.395540 11886 net.cpp:257] Network initialization done. I0912 11:16:11.398661 11886 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" } I0912 11:16:11.398917 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.398945 11886 net.cpp:86] Creating Layer data I0912 11:16:11.398962 11886 net.cpp:382] data -> data I0912 11:16:11.398984 11886 net.cpp:382] data -> label I0912 11:16:11.399013 11886 net.cpp:124] Setting up data I0912 11:16:11.399024 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.399036 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.399047 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.399056 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.399078 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.399091 11886 net.cpp:408] conv <- data I0912 11:16:11.399107 11886 net.cpp:382] conv -> conv I0912 11:16:11.399164 11886 net.cpp:124] Setting up conv I0912 11:16:11.399175 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.399188 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.399207 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.399222 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.399232 11886 net.cpp:408] ip <- conv I0912 11:16:11.399246 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.399555 11886 net.cpp:124] Setting up ip I0912 11:16:11.399570 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.399582 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.399600 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.399618 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.399629 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.399641 11886 net.cpp:408] loss <- label I0912 11:16:11.399654 11886 net.cpp:382] loss -> loss I0912 11:16:11.399673 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.399706 11886 net.cpp:124] Setting up loss I0912 11:16:11.399717 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.399730 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.399749 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.399760 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.399770 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.399781 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.399791 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.399801 11886 net.cpp:244] This network produces output loss I0912 11:16:11.399816 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.403290 11886 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" } I0912 11:16:11.403527 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.403555 11886 net.cpp:86] Creating Layer data I0912 11:16:11.403573 11886 net.cpp:382] data -> data I0912 11:16:11.403599 11886 net.cpp:382] data -> label I0912 11:16:11.403633 11886 net.cpp:124] Setting up data I0912 11:16:11.403647 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.403662 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.403674 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.403684 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.403708 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.403719 11886 net.cpp:408] conv <- data I0912 11:16:11.403738 11886 net.cpp:382] conv -> conv I0912 11:16:11.403802 11886 net.cpp:124] Setting up conv I0912 11:16:11.403815 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.403828 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.403851 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.403868 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.403879 11886 net.cpp:408] ip <- conv I0912 11:16:11.403895 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.404213 11886 net.cpp:124] Setting up ip I0912 11:16:11.404232 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.404245 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.404264 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.404284 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.404294 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.404304 11886 net.cpp:408] loss <- label I0912 11:16:11.404317 11886 net.cpp:382] loss -> loss I0912 11:16:11.404337 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.404372 11886 net.cpp:124] Setting up loss I0912 11:16:11.404383 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.404394 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.404414 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.404425 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.404436 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.404446 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.404457 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.404469 11886 net.cpp:244] This network produces output loss I0912 11:16:11.404484 11886 net.cpp:257] Network initialization done. I0912 11:16:11.410466 11886 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" } I0912 11:16:11.410778 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.410815 11886 net.cpp:86] Creating Layer data I0912 11:16:11.410835 11886 net.cpp:382] data -> data I0912 11:16:11.410866 11886 net.cpp:382] data -> label I0912 11:16:11.410905 11886 net.cpp:124] Setting up data I0912 11:16:11.410919 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.410935 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.410946 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.410957 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.410984 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.410997 11886 net.cpp:408] conv <- data I0912 11:16:11.411016 11886 net.cpp:382] conv -> conv I0912 11:16:11.411082 11886 net.cpp:124] Setting up conv I0912 11:16:11.411095 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.411108 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.411130 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.411149 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.411159 11886 net.cpp:408] ip <- conv I0912 11:16:11.411173 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.411499 11886 net.cpp:124] Setting up ip I0912 11:16:11.411520 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.411535 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.411554 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.411571 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.411582 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.411593 11886 net.cpp:408] loss <- label I0912 11:16:11.411610 11886 net.cpp:382] loss -> loss I0912 11:16:11.411633 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.411672 11886 net.cpp:124] Setting up loss I0912 11:16:11.411685 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.411696 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.411717 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.411729 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.411744 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.411756 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.411768 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.411779 11886 net.cpp:244] This network produces output loss I0912 11:16:11.411795 11886 net.cpp:257] Network initialization done. I0912 11:16:11.413022 11886 hdf5.cpp:33] Datatype class: H5T_FLOAT .I0912 11:16:11.418478 11886 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" } I0912 11:16:11.418999 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.419032 11886 net.cpp:86] Creating Layer data I0912 11:16:11.419054 11886 net.cpp:382] data -> data I0912 11:16:11.419085 11886 net.cpp:382] data -> label I0912 11:16:11.419129 11886 net.cpp:124] Setting up data I0912 11:16:11.419145 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.419164 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.419178 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.419190 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.419219 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.419231 11886 net.cpp:408] conv <- data I0912 11:16:11.419252 11886 net.cpp:382] conv -> conv I0912 11:16:11.419324 11886 net.cpp:124] Setting up conv I0912 11:16:11.419339 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.419353 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.419378 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.419399 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.419410 11886 net.cpp:408] ip <- conv I0912 11:16:11.419428 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.419764 11886 net.cpp:124] Setting up ip I0912 11:16:11.419783 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.419796 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.419818 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.419836 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.419845 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.419857 11886 net.cpp:408] loss <- label I0912 11:16:11.419872 11886 net.cpp:382] loss -> loss I0912 11:16:11.419893 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.419932 11886 net.cpp:124] Setting up loss I0912 11:16:11.419945 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.419957 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.419978 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.419988 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.419999 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.420011 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.420022 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.420032 11886 net.cpp:244] This network produces output loss I0912 11:16:11.420048 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.423420 11886 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I0912 11:16:11.423456 11886 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I0912 11:16:11.423468 11886 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 } } I0912 11:16:11.423661 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.423688 11886 net.cpp:86] Creating Layer data I0912 11:16:11.423707 11886 net.cpp:382] data -> data I0912 11:16:11.423744 11886 net.cpp:124] Setting up data I0912 11:16:11.423758 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.423774 11886 net.cpp:139] Memory required for data: 400 I0912 11:16:11.423785 11886 layer_factory.hpp:77] Creating layer data_data_0_split I0912 11:16:11.423806 11886 net.cpp:86] Creating Layer data_data_0_split I0912 11:16:11.423820 11886 net.cpp:408] data_data_0_split <- data I0912 11:16:11.423837 11886 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0912 11:16:11.423861 11886 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0912 11:16:11.423888 11886 net.cpp:124] Setting up data_data_0_split I0912 11:16:11.423902 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.423916 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.423928 11886 net.cpp:139] Memory required for data: 1200 I0912 11:16:11.423938 11886 layer_factory.hpp:77] Creating layer A I0912 11:16:11.423959 11886 net.cpp:86] Creating Layer A I0912 11:16:11.423969 11886 net.cpp:408] A <- data_data_0_split_0 I0912 11:16:11.423987 11886 net.cpp:382] A -> A I0912 11:16:11.424024 11886 net.cpp:124] Setting up A I0912 11:16:11.424036 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.424048 11886 net.cpp:139] Memory required for data: 1204 I0912 11:16:11.424072 11886 layer_factory.hpp:77] Creating layer AorB I0912 11:16:11.424093 11886 net.cpp:86] Creating Layer AorB I0912 11:16:11.424104 11886 net.cpp:408] AorB <- data_data_0_split_1 I0912 11:16:11.424122 11886 net.cpp:382] AorB -> AorB I0912 11:16:11.424154 11886 net.cpp:124] Setting up AorB I0912 11:16:11.424167 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.424180 11886 net.cpp:139] Memory required for data: 1208 I0912 11:16:11.424198 11886 net.cpp:202] AorB does not need backward computation. I0912 11:16:11.424209 11886 net.cpp:202] A does not need backward computation. I0912 11:16:11.424221 11886 net.cpp:202] data_data_0_split does not need backward computation. I0912 11:16:11.424230 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.424239 11886 net.cpp:244] This network produces output A I0912 11:16:11.424248 11886 net.cpp:244] This network produces output AorB I0912 11:16:11.424265 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.426332 11886 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 } } I0912 11:16:11.426602 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.426631 11886 net.cpp:86] Creating Layer data I0912 11:16:11.426648 11886 net.cpp:382] data -> data I0912 11:16:11.426683 11886 net.cpp:124] Setting up data I0912 11:16:11.426697 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.426712 11886 net.cpp:139] Memory required for data: 400 I0912 11:16:11.426723 11886 layer_factory.hpp:77] Creating layer data_data_0_split I0912 11:16:11.426743 11886 net.cpp:86] Creating Layer data_data_0_split I0912 11:16:11.426755 11886 net.cpp:408] data_data_0_split <- data I0912 11:16:11.426774 11886 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0912 11:16:11.426798 11886 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0912 11:16:11.426822 11886 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0912 11:16:11.426843 11886 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0912 11:16:11.426873 11886 net.cpp:124] Setting up data_data_0_split I0912 11:16:11.426887 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.426901 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.426913 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.426925 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.426936 11886 net.cpp:139] Memory required for data: 2000 I0912 11:16:11.426946 11886 layer_factory.hpp:77] Creating layer A I0912 11:16:11.426966 11886 net.cpp:86] Creating Layer A I0912 11:16:11.426978 11886 net.cpp:408] A <- data_data_0_split_0 I0912 11:16:11.426996 11886 net.cpp:382] A -> A I0912 11:16:11.427032 11886 net.cpp:124] Setting up A I0912 11:16:11.427044 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.427057 11886 net.cpp:139] Memory required for data: 2004 I0912 11:16:11.427079 11886 layer_factory.hpp:77] Creating layer B I0912 11:16:11.427095 11886 net.cpp:86] Creating Layer B I0912 11:16:11.427107 11886 net.cpp:408] B <- data_data_0_split_1 I0912 11:16:11.427124 11886 net.cpp:382] B -> B I0912 11:16:11.427155 11886 net.cpp:124] Setting up B I0912 11:16:11.427165 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.427178 11886 net.cpp:139] Memory required for data: 2008 I0912 11:16:11.427196 11886 layer_factory.hpp:77] Creating layer AorB I0912 11:16:11.427215 11886 net.cpp:86] Creating Layer AorB I0912 11:16:11.427227 11886 net.cpp:408] AorB <- data_data_0_split_2 I0912 11:16:11.427245 11886 net.cpp:382] AorB -> AorB I0912 11:16:11.427275 11886 net.cpp:124] Setting up AorB I0912 11:16:11.427289 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.427302 11886 net.cpp:139] Memory required for data: 2012 I0912 11:16:11.427323 11886 layer_factory.hpp:77] Creating layer AandB I0912 11:16:11.427343 11886 net.cpp:86] Creating Layer AandB I0912 11:16:11.427356 11886 net.cpp:408] AandB <- data_data_0_split_3 I0912 11:16:11.427374 11886 net.cpp:382] AandB -> AandB I0912 11:16:11.427412 11886 net.cpp:124] Setting up AandB I0912 11:16:11.427426 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.427439 11886 net.cpp:139] Memory required for data: 2016 I0912 11:16:11.427455 11886 net.cpp:202] AandB does not need backward computation. I0912 11:16:11.427472 11886 net.cpp:202] AorB does not need backward computation. I0912 11:16:11.427484 11886 net.cpp:202] B does not need backward computation. I0912 11:16:11.427495 11886 net.cpp:202] A does not need backward computation. I0912 11:16:11.427506 11886 net.cpp:202] data_data_0_split does not need backward computation. I0912 11:16:11.427516 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.427525 11886 net.cpp:244] This network produces output A I0912 11:16:11.427536 11886 net.cpp:244] This network produces output AandB I0912 11:16:11.427546 11886 net.cpp:244] This network produces output AorB I0912 11:16:11.427557 11886 net.cpp:244] This network produces output B I0912 11:16:11.427578 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.429838 11886 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I0912 11:16:11.429886 11886 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I0912 11:16:11.429906 11886 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I0912 11:16:11.429919 11886 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 } } I0912 11:16:11.430119 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.430145 11886 net.cpp:86] Creating Layer data I0912 11:16:11.430161 11886 net.cpp:382] data -> data I0912 11:16:11.430199 11886 net.cpp:124] Setting up data I0912 11:16:11.430213 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.430227 11886 net.cpp:139] Memory required for data: 400 I0912 11:16:11.430238 11886 layer_factory.hpp:77] Creating layer data_data_0_split I0912 11:16:11.430255 11886 net.cpp:86] Creating Layer data_data_0_split I0912 11:16:11.430266 11886 net.cpp:408] data_data_0_split <- data I0912 11:16:11.430282 11886 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0912 11:16:11.430301 11886 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0912 11:16:11.430325 11886 net.cpp:124] Setting up data_data_0_split I0912 11:16:11.430336 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.430351 11886 net.cpp:131] Top shape: 1 1 10 10 (100) I0912 11:16:11.430362 11886 net.cpp:139] Memory required for data: 1200 I0912 11:16:11.430371 11886 layer_factory.hpp:77] Creating layer B I0912 11:16:11.430392 11886 net.cpp:86] Creating Layer B I0912 11:16:11.430402 11886 net.cpp:408] B <- data_data_0_split_0 I0912 11:16:11.430419 11886 net.cpp:382] B -> B I0912 11:16:11.430457 11886 net.cpp:124] Setting up B I0912 11:16:11.430471 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.430485 11886 net.cpp:139] Memory required for data: 1204 I0912 11:16:11.430508 11886 layer_factory.hpp:77] Creating layer AorB I0912 11:16:11.430528 11886 net.cpp:86] Creating Layer AorB I0912 11:16:11.430541 11886 net.cpp:408] AorB <- data_data_0_split_1 I0912 11:16:11.430558 11886 net.cpp:382] AorB -> AorB I0912 11:16:11.430593 11886 net.cpp:124] Setting up AorB I0912 11:16:11.430604 11886 net.cpp:131] Top shape: 1 1 (1) I0912 11:16:11.430616 11886 net.cpp:139] Memory required for data: 1208 I0912 11:16:11.430635 11886 net.cpp:202] AorB does not need backward computation. I0912 11:16:11.430646 11886 net.cpp:202] B does not need backward computation. I0912 11:16:11.430657 11886 net.cpp:202] data_data_0_split does not need backward computation. I0912 11:16:11.430670 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.430680 11886 net.cpp:244] This network produces output AorB I0912 11:16:11.430688 11886 net.cpp:244] This network produces output B I0912 11:16:11.430706 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.435122 11886 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" } I0912 11:16:11.435473 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.435505 11886 net.cpp:86] Creating Layer data I0912 11:16:11.435524 11886 net.cpp:382] data -> data I0912 11:16:11.435556 11886 net.cpp:382] data -> label I0912 11:16:11.435663 11886 net.cpp:124] Setting up data I0912 11:16:11.435678 11886 net.cpp:131] Top shape: 50 1 28 28 (39200) I0912 11:16:11.435699 11886 net.cpp:131] Top shape: 50 1 1 1 (50) I0912 11:16:11.435715 11886 net.cpp:139] Memory required for data: 157000 I0912 11:16:11.435729 11886 layer_factory.hpp:77] Creating layer conv1 I0912 11:16:11.435753 11886 net.cpp:86] Creating Layer conv1 I0912 11:16:11.435766 11886 net.cpp:408] conv1 <- data I0912 11:16:11.435786 11886 net.cpp:382] conv1 -> conv1 I0912 11:16:11.435869 11886 net.cpp:124] Setting up conv1 I0912 11:16:11.435889 11886 net.cpp:131] Top shape: 50 20 24 24 (576000) I0912 11:16:11.435905 11886 net.cpp:139] Memory required for data: 2461000 I0912 11:16:11.435928 11886 layer_factory.hpp:77] Creating layer pool1 I0912 11:16:11.435947 11886 net.cpp:86] Creating Layer pool1 I0912 11:16:11.435957 11886 net.cpp:408] pool1 <- conv1 I0912 11:16:11.435973 11886 net.cpp:382] pool1 -> pool1 I0912 11:16:11.436029 11886 net.cpp:124] Setting up pool1 I0912 11:16:11.436043 11886 net.cpp:131] Top shape: 50 20 12 12 (144000) I0912 11:16:11.436058 11886 net.cpp:139] Memory required for data: 3037000 I0912 11:16:11.436069 11886 layer_factory.hpp:77] Creating layer conv2 I0912 11:16:11.436089 11886 net.cpp:86] Creating Layer conv2 I0912 11:16:11.436101 11886 net.cpp:408] conv2 <- pool1 I0912 11:16:11.436120 11886 net.cpp:382] conv2 -> conv2 I0912 11:16:11.436698 11886 net.cpp:124] Setting up conv2 I0912 11:16:11.436722 11886 net.cpp:131] Top shape: 50 50 8 8 (160000) I0912 11:16:11.436739 11886 net.cpp:139] Memory required for data: 3677000 I0912 11:16:11.436758 11886 layer_factory.hpp:77] Creating layer pool2 I0912 11:16:11.436779 11886 net.cpp:86] Creating Layer pool2 I0912 11:16:11.436787 11886 net.cpp:408] pool2 <- conv2 I0912 11:16:11.436802 11886 net.cpp:382] pool2 -> pool2 I0912 11:16:11.436823 11886 net.cpp:124] Setting up pool2 I0912 11:16:11.436833 11886 net.cpp:131] Top shape: 50 50 4 4 (40000) I0912 11:16:11.436846 11886 net.cpp:139] Memory required for data: 3837000 I0912 11:16:11.436854 11886 layer_factory.hpp:77] Creating layer ip1 I0912 11:16:11.436868 11886 net.cpp:86] Creating Layer ip1 I0912 11:16:11.436877 11886 net.cpp:408] ip1 <- pool2 I0912 11:16:11.436892 11886 net.cpp:382] ip1 -> ip1 I0912 11:16:11.457849 11886 net.cpp:124] Setting up ip1 I0912 11:16:11.457927 11886 net.cpp:131] Top shape: 50 500 (25000) I0912 11:16:11.457952 11886 net.cpp:139] Memory required for data: 3937000 I0912 11:16:11.457990 11886 layer_factory.hpp:77] Creating layer relu1 I0912 11:16:11.458019 11886 net.cpp:86] Creating Layer relu1 I0912 11:16:11.458034 11886 net.cpp:408] relu1 <- ip1 I0912 11:16:11.458053 11886 net.cpp:369] relu1 -> ip1 (in-place) I0912 11:16:11.458079 11886 net.cpp:124] Setting up relu1 I0912 11:16:11.458091 11886 net.cpp:131] Top shape: 50 500 (25000) I0912 11:16:11.458104 11886 net.cpp:139] Memory required for data: 4037000 I0912 11:16:11.458115 11886 layer_factory.hpp:77] Creating layer ip2 I0912 11:16:11.458133 11886 net.cpp:86] Creating Layer ip2 I0912 11:16:11.458144 11886 net.cpp:408] ip2 <- ip1 I0912 11:16:11.458163 11886 net.cpp:382] ip2 -> ip2 I0912 11:16:11.458312 11886 net.cpp:124] Setting up ip2 I0912 11:16:11.458331 11886 net.cpp:131] Top shape: 50 10 (500) I0912 11:16:11.458345 11886 net.cpp:139] Memory required for data: 4039000 I0912 11:16:11.458361 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.458382 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.458393 11886 net.cpp:408] loss <- ip2 I0912 11:16:11.458405 11886 net.cpp:408] loss <- label I0912 11:16:11.458420 11886 net.cpp:382] loss -> loss I0912 11:16:11.458457 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.458498 11886 net.cpp:124] Setting up loss I0912 11:16:11.458509 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.458523 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.458549 11886 net.cpp:139] Memory required for data: 4039004 I0912 11:16:11.458559 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.458571 11886 net.cpp:200] ip2 needs backward computation. I0912 11:16:11.458583 11886 net.cpp:200] relu1 needs backward computation. I0912 11:16:11.458595 11886 net.cpp:200] ip1 needs backward computation. I0912 11:16:11.458606 11886 net.cpp:200] pool2 needs backward computation. I0912 11:16:11.458617 11886 net.cpp:200] conv2 needs backward computation. I0912 11:16:11.458629 11886 net.cpp:200] pool1 needs backward computation. I0912 11:16:11.458640 11886 net.cpp:200] conv1 needs backward computation. I0912 11:16:11.458652 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.458662 11886 net.cpp:244] This network produces output loss I0912 11:16:11.458684 11886 net.cpp:257] Network initialization done. I0912 11:16:11.466331 11886 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" } I0912 11:16:11.466684 11886 layer_factory.hpp:77] Creating layer DummyData1 I0912 11:16:11.466715 11886 net.cpp:86] Creating Layer DummyData1 I0912 11:16:11.466734 11886 net.cpp:382] DummyData1 -> DummyData1 I0912 11:16:11.466763 11886 net.cpp:382] DummyData1 -> DummyData2 I0912 11:16:11.466869 11886 net.cpp:124] Setting up DummyData1 I0912 11:16:11.466888 11886 net.cpp:131] Top shape: 50 1 28 28 (39200) I0912 11:16:11.466912 11886 net.cpp:131] Top shape: 50 1 1 1 (50) I0912 11:16:11.466926 11886 net.cpp:139] Memory required for data: 157000 I0912 11:16:11.466938 11886 layer_factory.hpp:77] Creating layer Convolution1 I0912 11:16:11.466964 11886 net.cpp:86] Creating Layer Convolution1 I0912 11:16:11.466979 11886 net.cpp:408] Convolution1 <- DummyData1 I0912 11:16:11.466997 11886 net.cpp:382] Convolution1 -> Convolution1 I0912 11:16:11.467083 11886 net.cpp:124] Setting up Convolution1 I0912 11:16:11.467100 11886 net.cpp:131] Top shape: 50 20 24 24 (576000) I0912 11:16:11.467115 11886 net.cpp:139] Memory required for data: 2461000 I0912 11:16:11.467139 11886 layer_factory.hpp:77] Creating layer Pooling1 I0912 11:16:11.467159 11886 net.cpp:86] Creating Layer Pooling1 I0912 11:16:11.467170 11886 net.cpp:408] Pooling1 <- Convolution1 I0912 11:16:11.467185 11886 net.cpp:382] Pooling1 -> Pooling1 I0912 11:16:11.467211 11886 net.cpp:124] Setting up Pooling1 I0912 11:16:11.467221 11886 net.cpp:131] Top shape: 50 20 12 12 (144000) I0912 11:16:11.467236 11886 net.cpp:139] Memory required for data: 3037000 I0912 11:16:11.467244 11886 layer_factory.hpp:77] Creating layer Convolution2 I0912 11:16:11.467262 11886 net.cpp:86] Creating Layer Convolution2 I0912 11:16:11.467272 11886 net.cpp:408] Convolution2 <- Pooling1 I0912 11:16:11.467288 11886 net.cpp:382] Convolution2 -> Convolution2 I0912 11:16:11.467896 11886 net.cpp:124] Setting up Convolution2 I0912 11:16:11.467919 11886 net.cpp:131] Top shape: 50 50 8 8 (160000) I0912 11:16:11.467934 11886 net.cpp:139] Memory required for data: 3677000 I0912 11:16:11.467953 11886 layer_factory.hpp:77] Creating layer Pooling2 I0912 11:16:11.467972 11886 net.cpp:86] Creating Layer Pooling2 I0912 11:16:11.467983 11886 net.cpp:408] Pooling2 <- Convolution2 I0912 11:16:11.467998 11886 net.cpp:382] Pooling2 -> Pooling2 I0912 11:16:11.468022 11886 net.cpp:124] Setting up Pooling2 I0912 11:16:11.468039 11886 net.cpp:131] Top shape: 50 50 4 4 (40000) I0912 11:16:11.468052 11886 net.cpp:139] Memory required for data: 3837000 I0912 11:16:11.468062 11886 layer_factory.hpp:77] Creating layer InnerProduct1 I0912 11:16:11.468080 11886 net.cpp:86] Creating Layer InnerProduct1 I0912 11:16:11.468091 11886 net.cpp:408] InnerProduct1 <- Pooling2 I0912 11:16:11.468106 11886 net.cpp:382] InnerProduct1 -> InnerProduct1 I0912 11:16:11.489464 11886 net.cpp:124] Setting up InnerProduct1 I0912 11:16:11.489535 11886 net.cpp:131] Top shape: 50 500 (25000) I0912 11:16:11.489558 11886 net.cpp:139] Memory required for data: 3937000 I0912 11:16:11.489595 11886 layer_factory.hpp:77] Creating layer ReLU1 I0912 11:16:11.489625 11886 net.cpp:86] Creating Layer ReLU1 I0912 11:16:11.489643 11886 net.cpp:408] ReLU1 <- InnerProduct1 I0912 11:16:11.489665 11886 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I0912 11:16:11.489692 11886 net.cpp:124] Setting up ReLU1 I0912 11:16:11.489704 11886 net.cpp:131] Top shape: 50 500 (25000) I0912 11:16:11.489718 11886 net.cpp:139] Memory required for data: 4037000 I0912 11:16:11.489729 11886 layer_factory.hpp:77] Creating layer InnerProduct2 I0912 11:16:11.489748 11886 net.cpp:86] Creating Layer InnerProduct2 I0912 11:16:11.489760 11886 net.cpp:408] InnerProduct2 <- InnerProduct1 I0912 11:16:11.489779 11886 net.cpp:382] InnerProduct2 -> InnerProduct2 I0912 11:16:11.489931 11886 net.cpp:124] Setting up InnerProduct2 I0912 11:16:11.489951 11886 net.cpp:131] Top shape: 50 10 (500) I0912 11:16:11.489965 11886 net.cpp:139] Memory required for data: 4039000 I0912 11:16:11.489984 11886 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0912 11:16:11.490016 11886 net.cpp:86] Creating Layer SoftmaxWithLoss1 I0912 11:16:11.490031 11886 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I0912 11:16:11.490046 11886 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I0912 11:16:11.490062 11886 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I0912 11:16:11.490095 11886 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0912 11:16:11.490134 11886 net.cpp:124] Setting up SoftmaxWithLoss1 I0912 11:16:11.490149 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.490160 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.490190 11886 net.cpp:139] Memory required for data: 4039004 I0912 11:16:11.490202 11886 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I0912 11:16:11.490216 11886 net.cpp:200] InnerProduct2 needs backward computation. I0912 11:16:11.490227 11886 net.cpp:200] ReLU1 needs backward computation. I0912 11:16:11.490238 11886 net.cpp:200] InnerProduct1 needs backward computation. I0912 11:16:11.490252 11886 net.cpp:200] Pooling2 needs backward computation. I0912 11:16:11.490262 11886 net.cpp:200] Convolution2 needs backward computation. I0912 11:16:11.490274 11886 net.cpp:200] Pooling1 needs backward computation. I0912 11:16:11.490288 11886 net.cpp:200] Convolution1 needs backward computation. I0912 11:16:11.490303 11886 net.cpp:202] DummyData1 does not need backward computation. I0912 11:16:11.490312 11886 net.cpp:244] This network produces output SoftmaxWithLoss1 I0912 11:16:11.490337 11886 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): .I0912 11:16:11.499892 11886 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" } I0912 11:16:11.500030 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.500058 11886 net.cpp:86] Creating Layer data I0912 11:16:11.500077 11886 net.cpp:382] data -> data I0912 11:16:11.500105 11886 net.cpp:382] data -> data2 I0912 11:16:11.500146 11886 net.cpp:124] Setting up data I0912 11:16:11.500159 11886 net.cpp:131] Top shape: 3 (3) I0912 11:16:11.500175 11886 net.cpp:131] Top shape: 3 (3) I0912 11:16:11.500188 11886 net.cpp:139] Memory required for data: 24 I0912 11:16:11.500200 11886 layer_factory.hpp:77] Creating layer silence_data I0912 11:16:11.500217 11886 net.cpp:86] Creating Layer silence_data I0912 11:16:11.500229 11886 net.cpp:408] silence_data <- data I0912 11:16:11.500242 11886 net.cpp:124] Setting up silence_data I0912 11:16:11.500252 11886 net.cpp:139] Memory required for data: 24 I0912 11:16:11.500262 11886 layer_factory.hpp:77] Creating layer silence_data2 I0912 11:16:11.500275 11886 net.cpp:86] Creating Layer silence_data2 I0912 11:16:11.500285 11886 net.cpp:408] silence_data2 <- data2 I0912 11:16:11.500295 11886 net.cpp:124] Setting up silence_data2 I0912 11:16:11.500304 11886 net.cpp:139] Memory required for data: 24 I0912 11:16:11.500313 11886 net.cpp:202] silence_data2 does not need backward computation. I0912 11:16:11.500324 11886 net.cpp:202] silence_data does not need backward computation. I0912 11:16:11.500335 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.500349 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.506146 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpj_pw3jwx I0912 11:16:11.506215 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.506230 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.506280 11886 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" } } I0912 11:16:11.506458 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.506485 11886 net.cpp:86] Creating Layer input I0912 11:16:11.506502 11886 net.cpp:382] input -> data I0912 11:16:11.506539 11886 net.cpp:124] Setting up input I0912 11:16:11.506551 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.506568 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.506579 11886 layer_factory.hpp:77] Creating layer one I0912 11:16:11.506666 11886 net.cpp:86] Creating Layer one I0912 11:16:11.506685 11886 net.cpp:408] one <- data I0912 11:16:11.506702 11886 net.cpp:382] one -> one I0912 11:16:11.506834 11886 net.cpp:124] Setting up one I0912 11:16:11.506853 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.506867 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.506876 11886 layer_factory.hpp:77] Creating layer two I0912 11:16:11.506942 11886 net.cpp:86] Creating Layer two I0912 11:16:11.506958 11886 net.cpp:408] two <- one I0912 11:16:11.506974 11886 net.cpp:382] two -> two I0912 11:16:11.507048 11886 net.cpp:124] Setting up two I0912 11:16:11.507066 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.507082 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.507092 11886 layer_factory.hpp:77] Creating layer three I0912 11:16:11.507151 11886 net.cpp:86] Creating Layer three I0912 11:16:11.507169 11886 net.cpp:408] three <- two I0912 11:16:11.507185 11886 net.cpp:382] three -> three I0912 11:16:11.507256 11886 net.cpp:124] Setting up three I0912 11:16:11.507273 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.507287 11886 net.cpp:139] Memory required for data: 11520 I0912 11:16:11.507297 11886 net.cpp:202] three does not need backward computation. I0912 11:16:11.507308 11886 net.cpp:202] two does not need backward computation. I0912 11:16:11.507318 11886 net.cpp:202] one does not need backward computation. I0912 11:16:11.507328 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.507339 11886 net.cpp:244] This network produces output three I0912 11:16:11.507354 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.531313 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpp3y5rph6 I0912 11:16:11.531366 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.531378 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.531435 11886 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" } } I0912 11:16:11.531617 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.531646 11886 net.cpp:86] Creating Layer input I0912 11:16:11.531664 11886 net.cpp:382] input -> data I0912 11:16:11.531700 11886 net.cpp:124] Setting up input I0912 11:16:11.531713 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.531729 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.531742 11886 layer_factory.hpp:77] Creating layer one I0912 11:16:11.531845 11886 net.cpp:86] Creating Layer one I0912 11:16:11.531864 11886 net.cpp:408] one <- data I0912 11:16:11.531883 11886 net.cpp:382] one -> one I0912 11:16:11.531988 11886 net.cpp:124] Setting up one I0912 11:16:11.532006 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.532020 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.532030 11886 layer_factory.hpp:77] Creating layer two I0912 11:16:11.532092 11886 net.cpp:86] Creating Layer two I0912 11:16:11.532109 11886 net.cpp:408] two <- one I0912 11:16:11.532125 11886 net.cpp:382] two -> two I0912 11:16:11.532196 11886 net.cpp:124] Setting up two I0912 11:16:11.532217 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.532230 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.532239 11886 layer_factory.hpp:77] Creating layer three I0912 11:16:11.532295 11886 net.cpp:86] Creating Layer three I0912 11:16:11.532310 11886 net.cpp:408] three <- two I0912 11:16:11.532325 11886 net.cpp:382] three -> three I0912 11:16:11.532392 11886 net.cpp:124] Setting up three I0912 11:16:11.532410 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.532426 11886 net.cpp:139] Memory required for data: 11520 I0912 11:16:11.532438 11886 net.cpp:202] three does not need backward computation. I0912 11:16:11.532449 11886 net.cpp:202] two does not need backward computation. I0912 11:16:11.532459 11886 net.cpp:202] one does not need backward computation. I0912 11:16:11.532469 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.532477 11886 net.cpp:244] This network produces output three I0912 11:16:11.532496 11886 net.cpp:257] Network initialization done. I0912 11:16:11.537863 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpjmrxh9d1 I0912 11:16:11.537927 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.537941 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.537982 11886 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" } } I0912 11:16:11.538120 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.538151 11886 net.cpp:86] Creating Layer input I0912 11:16:11.538168 11886 net.cpp:382] input -> data I0912 11:16:11.538203 11886 net.cpp:124] Setting up input I0912 11:16:11.538216 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.538233 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.538244 11886 layer_factory.hpp:77] Creating layer layer I0912 11:16:11.538332 11886 net.cpp:86] Creating Layer layer I0912 11:16:11.538352 11886 net.cpp:408] layer <- data I0912 11:16:11.538369 11886 net.cpp:382] layer -> top .I0912 11:16:11.539985 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmphh8xrae6 I0912 11:16:11.540022 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.540033 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.540073 11886 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" } } I0912 11:16:11.540225 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.540251 11886 net.cpp:86] Creating Layer input I0912 11:16:11.540268 11886 net.cpp:382] input -> data I0912 11:16:11.540297 11886 net.cpp:124] Setting up input I0912 11:16:11.540308 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.540323 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.540333 11886 layer_factory.hpp:77] Creating layer one I0912 11:16:11.540405 11886 net.cpp:86] Creating Layer one I0912 11:16:11.540422 11886 net.cpp:408] one <- data I0912 11:16:11.540439 11886 net.cpp:382] one -> one I0912 11:16:11.540539 11886 net.cpp:124] Setting up one I0912 11:16:11.540557 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.540571 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.540581 11886 layer_factory.hpp:77] Creating layer two I0912 11:16:11.540666 11886 net.cpp:86] Creating Layer two I0912 11:16:11.540684 11886 net.cpp:408] two <- one I0912 11:16:11.540701 11886 net.cpp:382] two -> two I0912 11:16:11.540776 11886 net.cpp:124] Setting up two I0912 11:16:11.540793 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.540807 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.540817 11886 layer_factory.hpp:77] Creating layer three I0912 11:16:11.540869 11886 net.cpp:86] Creating Layer three I0912 11:16:11.540884 11886 net.cpp:408] three <- two I0912 11:16:11.540900 11886 net.cpp:382] three -> three I0912 11:16:11.540968 11886 net.cpp:124] Setting up three I0912 11:16:11.540990 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.541005 11886 net.cpp:139] Memory required for data: 11520 I0912 11:16:11.541015 11886 net.cpp:202] three does not need backward computation. I0912 11:16:11.541026 11886 net.cpp:202] two does not need backward computation. I0912 11:16:11.541038 11886 net.cpp:202] one does not need backward computation. I0912 11:16:11.541047 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.541057 11886 net.cpp:244] This network produces output three I0912 11:16:11.541074 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.557535 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpul21bwi8 I0912 11:16:11.557602 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.557616 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.557674 11886 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" } } I0912 11:16:11.557870 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.557902 11886 net.cpp:86] Creating Layer input I0912 11:16:11.557922 11886 net.cpp:382] input -> data I0912 11:16:11.557963 11886 net.cpp:124] Setting up input I0912 11:16:11.557978 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.557996 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.558008 11886 layer_factory.hpp:77] Creating layer one I0912 11:16:11.558105 11886 net.cpp:86] Creating Layer one I0912 11:16:11.558125 11886 net.cpp:408] one <- data I0912 11:16:11.558143 11886 net.cpp:382] one -> one I0912 11:16:11.558255 11886 net.cpp:124] Setting up one I0912 11:16:11.558275 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.558290 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.558300 11886 layer_factory.hpp:77] Creating layer two I0912 11:16:11.558357 11886 net.cpp:86] Creating Layer two I0912 11:16:11.558374 11886 net.cpp:408] two <- one I0912 11:16:11.558390 11886 net.cpp:382] two -> two I0912 11:16:11.558462 11886 net.cpp:124] Setting up two I0912 11:16:11.558481 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.558495 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.558506 11886 layer_factory.hpp:77] Creating layer three I0912 11:16:11.558559 11886 net.cpp:86] Creating Layer three I0912 11:16:11.558576 11886 net.cpp:408] three <- two I0912 11:16:11.558591 11886 net.cpp:382] three -> three I0912 11:16:11.558660 11886 net.cpp:124] Setting up three I0912 11:16:11.558676 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.558692 11886 net.cpp:139] Memory required for data: 11520 I0912 11:16:11.558706 11886 net.cpp:202] three does not need backward computation. I0912 11:16:11.558718 11886 net.cpp:202] two does not need backward computation. I0912 11:16:11.558730 11886 net.cpp:202] one does not need backward computation. I0912 11:16:11.558743 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.558753 11886 net.cpp:244] This network produces output three I0912 11:16:11.558769 11886 net.cpp:257] Network initialization done. I0912 11:16:11.559880 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpwoyir7w4 I0912 11:16:11.559918 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.559929 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.559962 11886 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" } } I0912 11:16:11.560081 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.560109 11886 net.cpp:86] Creating Layer input I0912 11:16:11.560124 11886 net.cpp:382] input -> data I0912 11:16:11.560151 11886 net.cpp:124] Setting up input I0912 11:16:11.560163 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.560178 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.560189 11886 layer_factory.hpp:77] Creating layer layer I0912 11:16:11.560262 11886 net.cpp:86] Creating Layer layer I0912 11:16:11.560277 11886 net.cpp:408] layer <- data I0912 11:16:11.560292 11886 net.cpp:382] layer -> top I0912 11:16:11.560425 11886 net.cpp:124] Setting up layer I0912 11:16:11.560444 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.560458 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.560480 11886 net.cpp:202] layer does not need backward computation. I0912 11:16:11.560492 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.560500 11886 net.cpp:244] This network produces output top I0912 11:16:11.560513 11886 net.cpp:257] Network initialization done. I0912 11:16:11.563261 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpwoyir7w4 I0912 11:16:11.563316 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.563329 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.563364 11886 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" } } I0912 11:16:11.563490 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.563519 11886 net.cpp:86] Creating Layer input I0912 11:16:11.563534 11886 net.cpp:382] input -> data I0912 11:16:11.563563 11886 net.cpp:124] Setting up input I0912 11:16:11.563575 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.563589 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.563601 11886 layer_factory.hpp:77] Creating layer layer I0912 11:16:11.563676 11886 net.cpp:86] Creating Layer layer I0912 11:16:11.563695 11886 net.cpp:408] layer <- data I0912 11:16:11.563712 11886 net.cpp:382] layer -> top I0912 11:16:11.563840 11886 net.cpp:124] Setting up layer I0912 11:16:11.563863 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.563877 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.563899 11886 net.cpp:202] layer does not need backward computation. I0912 11:16:11.563910 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.563920 11886 net.cpp:244] This network produces output top I0912 11:16:11.563933 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.565671 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmprplf97ll I0912 11:16:11.565717 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.565729 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.565768 11886 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" } } I0912 11:16:11.565927 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.565954 11886 net.cpp:86] Creating Layer input I0912 11:16:11.565970 11886 net.cpp:382] input -> data I0912 11:16:11.565999 11886 net.cpp:124] Setting up input I0912 11:16:11.566011 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.566026 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.566037 11886 layer_factory.hpp:77] Creating layer one I0912 11:16:11.566110 11886 net.cpp:86] Creating Layer one I0912 11:16:11.566128 11886 net.cpp:408] one <- data I0912 11:16:11.566145 11886 net.cpp:382] one -> one I0912 11:16:11.566238 11886 net.cpp:124] Setting up one I0912 11:16:11.566256 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.566272 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.566282 11886 layer_factory.hpp:77] Creating layer two I0912 11:16:11.566335 11886 net.cpp:86] Creating Layer two I0912 11:16:11.566350 11886 net.cpp:408] two <- one I0912 11:16:11.566367 11886 net.cpp:382] two -> two I0912 11:16:11.566437 11886 net.cpp:124] Setting up two I0912 11:16:11.566454 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.566469 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.566478 11886 layer_factory.hpp:77] Creating layer three I0912 11:16:11.566529 11886 net.cpp:86] Creating Layer three I0912 11:16:11.566545 11886 net.cpp:408] three <- two I0912 11:16:11.566560 11886 net.cpp:382] three -> three I0912 11:16:11.566624 11886 net.cpp:124] Setting up three I0912 11:16:11.566641 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.566655 11886 net.cpp:139] Memory required for data: 11520 I0912 11:16:11.566665 11886 net.cpp:202] three does not need backward computation. I0912 11:16:11.566677 11886 net.cpp:202] two does not need backward computation. I0912 11:16:11.566687 11886 net.cpp:202] one does not need backward computation. I0912 11:16:11.566697 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.566707 11886 net.cpp:244] This network produces output three I0912 11:16:11.566725 11886 net.cpp:257] Network initialization done. I0912 11:16:11.567682 11886 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" } } I0912 11:16:11.567787 11886 layer_factory.hpp:77] Creating layer layer I0912 11:16:11.567876 11886 net.cpp:86] Creating Layer layer I0912 11:16:11.567898 11886 net.cpp:382] layer -> phase I0912 11:16:11.567975 11886 net.cpp:124] Setting up layer I0912 11:16:11.567992 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.568008 11886 net.cpp:139] Memory required for data: 4 I0912 11:16:11.568022 11886 net.cpp:202] layer does not need backward computation. I0912 11:16:11.568032 11886 net.cpp:244] This network produces output phase I0912 11:16:11.568044 11886 net.cpp:257] Network initialization done. I0912 11:16:11.568778 11886 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" } } I0912 11:16:11.568884 11886 layer_factory.hpp:77] Creating layer layer I0912 11:16:11.568960 11886 net.cpp:86] Creating Layer layer I0912 11:16:11.568984 11886 net.cpp:382] layer -> phase I0912 11:16:11.569046 11886 net.cpp:124] Setting up layer I0912 11:16:11.569064 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.569079 11886 net.cpp:139] Memory required for data: 4 I0912 11:16:11.569092 11886 net.cpp:202] layer does not need backward computation. I0912 11:16:11.569101 11886 net.cpp:244] This network produces output phase I0912 11:16:11.569115 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.570906 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp4ldxdrka I0912 11:16:11.570948 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.570960 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.571004 11886 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" } } I0912 11:16:11.571177 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.571206 11886 net.cpp:86] Creating Layer input I0912 11:16:11.571223 11886 net.cpp:382] input -> data I0912 11:16:11.571254 11886 net.cpp:124] Setting up input I0912 11:16:11.571265 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.571280 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.571291 11886 layer_factory.hpp:77] Creating layer one I0912 11:16:11.571367 11886 net.cpp:86] Creating Layer one I0912 11:16:11.571384 11886 net.cpp:408] one <- data I0912 11:16:11.571401 11886 net.cpp:382] one -> one I0912 11:16:11.571491 11886 net.cpp:124] Setting up one I0912 11:16:11.571511 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.571527 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.571537 11886 layer_factory.hpp:77] Creating layer two I0912 11:16:11.571589 11886 net.cpp:86] Creating Layer two I0912 11:16:11.571605 11886 net.cpp:408] two <- one I0912 11:16:11.571621 11886 net.cpp:382] two -> two I0912 11:16:11.571692 11886 net.cpp:124] Setting up two I0912 11:16:11.571712 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.571727 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.571740 11886 layer_factory.hpp:77] Creating layer three I0912 11:16:11.571794 11886 net.cpp:86] Creating Layer three I0912 11:16:11.571812 11886 net.cpp:408] three <- two I0912 11:16:11.571828 11886 net.cpp:382] three -> three I0912 11:16:11.571894 11886 net.cpp:124] Setting up three I0912 11:16:11.571911 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.571928 11886 net.cpp:139] Memory required for data: 11520 I0912 11:16:11.571939 11886 net.cpp:202] three does not need backward computation. I0912 11:16:11.571950 11886 net.cpp:202] two does not need backward computation. I0912 11:16:11.571961 11886 net.cpp:202] one does not need backward computation. I0912 11:16:11.571971 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.571981 11886 net.cpp:244] This network produces output three I0912 11:16:11.571997 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.574513 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp6jddt6iq I0912 11:16:11.574563 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.574574 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.574616 11886 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" } } I0912 11:16:11.574759 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.574787 11886 net.cpp:86] Creating Layer input I0912 11:16:11.574803 11886 net.cpp:382] input -> data I0912 11:16:11.574834 11886 net.cpp:124] Setting up input I0912 11:16:11.574846 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.574860 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.574872 11886 layer_factory.hpp:77] Creating layer mul10 I0912 11:16:11.574950 11886 net.cpp:86] Creating Layer mul10 I0912 11:16:11.574967 11886 net.cpp:408] mul10 <- data I0912 11:16:11.574985 11886 net.cpp:382] mul10 -> mul10 I0912 11:16:11.575086 11886 net.cpp:124] Setting up mul10 I0912 11:16:11.575104 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.575119 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.575129 11886 layer_factory.hpp:77] Creating layer mul2 I0912 11:16:11.575186 11886 net.cpp:86] Creating Layer mul2 I0912 11:16:11.575201 11886 net.cpp:408] mul2 <- mul10 I0912 11:16:11.575218 11886 net.cpp:382] mul2 -> mul2 I0912 11:16:11.575290 11886 net.cpp:124] Setting up mul2 I0912 11:16:11.575309 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.575321 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.575331 11886 net.cpp:202] mul2 does not need backward computation. I0912 11:16:11.575342 11886 net.cpp:202] mul10 does not need backward computation. I0912 11:16:11.575352 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.575362 11886 net.cpp:244] This network produces output mul2 I0912 11:16:11.575376 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.586745 11886 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp4n6z7_t7 I0912 11:16:11.586791 11886 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0912 11:16:11.586803 11886 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0912 11:16:11.586849 11886 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" } } I0912 11:16:11.587019 11886 layer_factory.hpp:77] Creating layer input I0912 11:16:11.587049 11886 net.cpp:86] Creating Layer input I0912 11:16:11.587067 11886 net.cpp:382] input -> data I0912 11:16:11.587105 11886 net.cpp:124] Setting up input I0912 11:16:11.587121 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.587136 11886 net.cpp:139] Memory required for data: 2880 I0912 11:16:11.587149 11886 layer_factory.hpp:77] Creating layer mul10 I0912 11:16:11.587239 11886 net.cpp:86] Creating Layer mul10 I0912 11:16:11.587260 11886 net.cpp:408] mul10 <- data I0912 11:16:11.587276 11886 net.cpp:382] mul10 -> mul10 I0912 11:16:11.587385 11886 net.cpp:124] Setting up mul10 I0912 11:16:11.587405 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.587420 11886 net.cpp:139] Memory required for data: 5760 I0912 11:16:11.587430 11886 layer_factory.hpp:77] Creating layer mul2 I0912 11:16:11.587486 11886 net.cpp:86] Creating Layer mul2 I0912 11:16:11.587503 11886 net.cpp:408] mul2 <- mul10 I0912 11:16:11.587522 11886 net.cpp:382] mul2 -> mul2 I0912 11:16:11.587605 11886 net.cpp:124] Setting up mul2 I0912 11:16:11.587625 11886 net.cpp:131] Top shape: 10 9 8 (720) I0912 11:16:11.587642 11886 net.cpp:139] Memory required for data: 8640 I0912 11:16:11.587654 11886 net.cpp:202] mul2 does not need backward computation. I0912 11:16:11.587666 11886 net.cpp:202] mul10 does not need backward computation. I0912 11:16:11.587678 11886 net.cpp:202] input does not need backward computation. I0912 11:16:11.587688 11886 net.cpp:244] This network produces output mul2 I0912 11:16:11.587704 11886 net.cpp:257] Network initialization done. .I0912 11:16:11.599309 11886 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/tmpbozpl29b" snapshot_after_train: false I0912 11:16:11.599447 11886 solver.cpp:102] Creating training net from net file: /tmp/tmpbozpl29b I0912 11:16:11.599812 11886 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" } I0912 11:16:11.600064 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.600095 11886 net.cpp:86] Creating Layer data I0912 11:16:11.600113 11886 net.cpp:382] data -> data I0912 11:16:11.600138 11886 net.cpp:382] data -> label I0912 11:16:11.600172 11886 net.cpp:124] Setting up data I0912 11:16:11.600183 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.600198 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.600209 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.600219 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.600240 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.600250 11886 net.cpp:408] conv <- data I0912 11:16:11.600270 11886 net.cpp:382] conv -> conv I0912 11:16:11.600334 11886 net.cpp:124] Setting up conv I0912 11:16:11.600345 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.600358 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.600383 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.600399 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.600409 11886 net.cpp:408] ip <- conv I0912 11:16:11.600425 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.600772 11886 net.cpp:124] Setting up ip I0912 11:16:11.600791 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.600805 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.600826 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.600842 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.600853 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.600864 11886 net.cpp:408] loss <- label I0912 11:16:11.600878 11886 net.cpp:382] loss -> loss I0912 11:16:11.600900 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.600939 11886 net.cpp:124] Setting up loss I0912 11:16:11.600950 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.600962 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.600982 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.600993 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.601004 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.601014 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.601025 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.601035 11886 net.cpp:244] This network produces output loss I0912 11:16:11.601052 11886 net.cpp:257] Network initialization done. I0912 11:16:11.601635 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpbozpl29b I0912 11:16:11.601706 11886 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" } I0912 11:16:11.601924 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.601951 11886 net.cpp:86] Creating Layer data I0912 11:16:11.601969 11886 net.cpp:382] data -> data I0912 11:16:11.601994 11886 net.cpp:382] data -> label I0912 11:16:11.602026 11886 net.cpp:124] Setting up data I0912 11:16:11.602041 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.602061 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.602075 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.602088 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.602120 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.602135 11886 net.cpp:408] conv <- data I0912 11:16:11.602156 11886 net.cpp:382] conv -> conv I0912 11:16:11.602226 11886 net.cpp:124] Setting up conv I0912 11:16:11.602243 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.602259 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.602288 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.602309 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.602320 11886 net.cpp:408] ip <- conv I0912 11:16:11.602336 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.602667 11886 net.cpp:124] Setting up ip I0912 11:16:11.602689 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.602701 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.602721 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.602737 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.602751 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.602762 11886 net.cpp:408] loss <- label I0912 11:16:11.602777 11886 net.cpp:382] loss -> loss I0912 11:16:11.602797 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.602828 11886 net.cpp:124] Setting up loss I0912 11:16:11.602840 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.602851 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.602869 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.602880 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.602891 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.602902 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.602912 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.602923 11886 net.cpp:244] This network produces output loss I0912 11:16:11.602938 11886 net.cpp:257] Network initialization done. I0912 11:16:11.602984 11886 solver.cpp:57] Solver scaffolding done. I0912 11:16:11.603219 11886 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/tmpbozpl29b" snapshot_after_train: false I0912 11:16:11.603310 11886 solver.cpp:102] Creating training net from net file: /tmp/tmpbozpl29b I0912 11:16:11.603614 11886 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" } I0912 11:16:11.603842 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.603885 11886 net.cpp:86] Creating Layer data I0912 11:16:11.603905 11886 net.cpp:382] data -> data I0912 11:16:11.603931 11886 net.cpp:382] data -> label I0912 11:16:11.603961 11886 net.cpp:124] Setting up data I0912 11:16:11.603974 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.603991 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.604003 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.604014 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.604039 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.604053 11886 net.cpp:408] conv <- data I0912 11:16:11.604071 11886 net.cpp:382] conv -> conv I0912 11:16:11.604135 11886 net.cpp:124] Setting up conv I0912 11:16:11.604151 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.604166 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.604187 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.604207 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.604218 11886 net.cpp:408] ip <- conv I0912 11:16:11.604233 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.604576 11886 net.cpp:124] Setting up ip I0912 11:16:11.604598 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.604640 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.604665 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.604692 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.604705 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.604719 11886 net.cpp:408] loss <- label I0912 11:16:11.604737 11886 net.cpp:382] loss -> loss I0912 11:16:11.604764 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.604810 11886 net.cpp:124] Setting up loss I0912 11:16:11.604827 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.604844 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.604869 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.604884 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.604902 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.604916 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.604931 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.604945 11886 net.cpp:244] This network produces output loss I0912 11:16:11.604966 11886 net.cpp:257] Network initialization done. I0912 11:16:11.605607 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpbozpl29b I0912 11:16:11.605681 11886 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" } I0912 11:16:11.605926 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.605962 11886 net.cpp:86] Creating Layer data I0912 11:16:11.605983 11886 net.cpp:382] data -> data I0912 11:16:11.606009 11886 net.cpp:382] data -> label I0912 11:16:11.606043 11886 net.cpp:124] Setting up data I0912 11:16:11.606057 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.606074 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.606091 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.606102 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.606132 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.606145 11886 net.cpp:408] conv <- data I0912 11:16:11.606168 11886 net.cpp:382] conv -> conv I0912 11:16:11.606233 11886 net.cpp:124] Setting up conv I0912 11:16:11.606247 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.606261 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.606285 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.606305 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.606317 11886 net.cpp:408] ip <- conv I0912 11:16:11.606333 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.606670 11886 net.cpp:124] Setting up ip I0912 11:16:11.606691 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.606705 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.606725 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.606746 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.606758 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.606770 11886 net.cpp:408] loss <- label I0912 11:16:11.606784 11886 net.cpp:382] loss -> loss I0912 11:16:11.606806 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.606839 11886 net.cpp:124] Setting up loss I0912 11:16:11.606851 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.606866 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.606889 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.606901 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.606915 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.606928 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.606942 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.606957 11886 net.cpp:244] This network produces output loss I0912 11:16:11.606976 11886 net.cpp:257] Network initialization done. I0912 11:16:11.607025 11886 solver.cpp:57] Solver scaffolding done. I0912 11:16:11.608922 11886 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I0912 11:16:11.611358 11886 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/tmpyygheeom" snapshot_after_train: false I0912 11:16:11.611483 11886 solver.cpp:102] Creating training net from net file: /tmp/tmpyygheeom I0912 11:16:11.611814 11886 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" } I0912 11:16:11.612068 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.612102 11886 net.cpp:86] Creating Layer data I0912 11:16:11.612124 11886 net.cpp:382] data -> data I0912 11:16:11.612154 11886 net.cpp:382] data -> label I0912 11:16:11.612191 11886 net.cpp:124] Setting up data I0912 11:16:11.612208 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.612226 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.612241 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.612253 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.612283 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.612300 11886 net.cpp:408] conv <- data I0912 11:16:11.612324 11886 net.cpp:382] conv -> conv I0912 11:16:11.612402 11886 net.cpp:124] Setting up conv I0912 11:16:11.612426 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.612444 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.612471 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.612496 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.612512 11886 net.cpp:408] ip <- conv I0912 11:16:11.612532 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.612900 11886 net.cpp:124] Setting up ip I0912 11:16:11.612921 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.612936 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.612955 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.612973 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.612983 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.612994 11886 net.cpp:408] loss <- label I0912 11:16:11.613008 11886 net.cpp:382] loss -> loss I0912 11:16:11.613030 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.613065 11886 net.cpp:124] Setting up loss I0912 11:16:11.613077 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.613090 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.613109 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.613121 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.613132 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.613143 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.613154 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.613164 11886 net.cpp:244] This network produces output loss I0912 11:16:11.613179 11886 net.cpp:257] Network initialization done. I0912 11:16:11.613765 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpyygheeom I0912 11:16:11.613834 11886 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" } I0912 11:16:11.614058 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.614084 11886 net.cpp:86] Creating Layer data I0912 11:16:11.614101 11886 net.cpp:382] data -> data I0912 11:16:11.614122 11886 net.cpp:382] data -> label I0912 11:16:11.614149 11886 net.cpp:124] Setting up data I0912 11:16:11.614161 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.614176 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.614187 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.614195 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.614218 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.614229 11886 net.cpp:408] conv <- data I0912 11:16:11.614246 11886 net.cpp:382] conv -> conv I0912 11:16:11.614305 11886 net.cpp:124] Setting up conv I0912 11:16:11.614315 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.614327 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.614346 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.614360 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.614370 11886 net.cpp:408] ip <- conv I0912 11:16:11.614388 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.614712 11886 net.cpp:124] Setting up ip I0912 11:16:11.614732 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.614746 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.614766 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.614784 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.614794 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.614804 11886 net.cpp:408] loss <- label I0912 11:16:11.614822 11886 net.cpp:382] loss -> loss I0912 11:16:11.614843 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.614876 11886 net.cpp:124] Setting up loss I0912 11:16:11.614888 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.614900 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.614917 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.614928 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.614939 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.614950 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.614960 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.614970 11886 net.cpp:244] This network produces output loss I0912 11:16:11.614986 11886 net.cpp:257] Network initialization done. I0912 11:16:11.615031 11886 solver.cpp:57] Solver scaffolding done. I0912 11:16:11.615258 11886 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/tmpyygheeom" snapshot_after_train: false I0912 11:16:11.615351 11886 solver.cpp:102] Creating training net from net file: /tmp/tmpyygheeom I0912 11:16:11.615664 11886 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" } I0912 11:16:11.615870 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.615896 11886 net.cpp:86] Creating Layer data I0912 11:16:11.615914 11886 net.cpp:382] data -> data I0912 11:16:11.615936 11886 net.cpp:382] data -> label I0912 11:16:11.615964 11886 net.cpp:124] Setting up data I0912 11:16:11.615976 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.615991 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.616003 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.616012 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.616035 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.616047 11886 net.cpp:408] conv <- data I0912 11:16:11.616065 11886 net.cpp:382] conv -> conv I0912 11:16:11.616120 11886 net.cpp:124] Setting up conv I0912 11:16:11.616133 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.616147 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.616168 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.616185 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.616195 11886 net.cpp:408] ip <- conv I0912 11:16:11.616211 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.616525 11886 net.cpp:124] Setting up ip I0912 11:16:11.616544 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.616556 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.616575 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.616591 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.616602 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.616639 11886 net.cpp:408] loss <- label I0912 11:16:11.616655 11886 net.cpp:382] loss -> loss I0912 11:16:11.616676 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.616710 11886 net.cpp:124] Setting up loss I0912 11:16:11.616722 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.616735 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.616751 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.616762 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.616775 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.616784 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.616794 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.616804 11886 net.cpp:244] This network produces output loss I0912 11:16:11.616819 11886 net.cpp:257] Network initialization done. I0912 11:16:11.617106 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpyygheeom I0912 11:16:11.617156 11886 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" } I0912 11:16:11.617588 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.617615 11886 net.cpp:86] Creating Layer data I0912 11:16:11.617631 11886 net.cpp:382] data -> data I0912 11:16:11.617652 11886 net.cpp:382] data -> label I0912 11:16:11.617679 11886 net.cpp:124] Setting up data I0912 11:16:11.617691 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.617704 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.617717 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.617725 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.617745 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.617756 11886 net.cpp:408] conv <- data I0912 11:16:11.617774 11886 net.cpp:382] conv -> conv I0912 11:16:11.617828 11886 net.cpp:124] Setting up conv I0912 11:16:11.617841 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.617853 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.617873 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.617890 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.617902 11886 net.cpp:408] ip <- conv I0912 11:16:11.617916 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.618229 11886 net.cpp:124] Setting up ip I0912 11:16:11.618248 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.618260 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.618279 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.618295 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.618305 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.618316 11886 net.cpp:408] loss <- label I0912 11:16:11.618330 11886 net.cpp:382] loss -> loss I0912 11:16:11.618350 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.618379 11886 net.cpp:124] Setting up loss I0912 11:16:11.618391 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.618402 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.618417 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.618427 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.618439 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.618448 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.618459 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.618468 11886 net.cpp:244] This network produces output loss I0912 11:16:11.618484 11886 net.cpp:257] Network initialization done. I0912 11:16:11.618525 11886 solver.cpp:57] Solver scaffolding done. .I0912 11:16:11.624495 11886 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/tmpkqhug8s2" snapshot_after_train: false I0912 11:16:11.624640 11886 solver.cpp:102] Creating training net from net file: /tmp/tmpkqhug8s2 I0912 11:16:11.624961 11886 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" } I0912 11:16:11.625190 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.625219 11886 net.cpp:86] Creating Layer data I0912 11:16:11.625238 11886 net.cpp:382] data -> data I0912 11:16:11.625527 11886 net.cpp:382] data -> label I0912 11:16:11.625564 11886 net.cpp:124] Setting up data I0912 11:16:11.625576 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.625592 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.625604 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.625614 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.625641 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.625653 11886 net.cpp:408] conv <- data I0912 11:16:11.625670 11886 net.cpp:382] conv -> conv I0912 11:16:11.625735 11886 net.cpp:124] Setting up conv I0912 11:16:11.625749 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.625762 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.625785 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.625806 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.625818 11886 net.cpp:408] ip <- conv I0912 11:16:11.625833 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.626153 11886 net.cpp:124] Setting up ip I0912 11:16:11.626170 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.626183 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.626204 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.626221 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.626231 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.626242 11886 net.cpp:408] loss <- label I0912 11:16:11.626256 11886 net.cpp:382] loss -> loss I0912 11:16:11.626276 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.626312 11886 net.cpp:124] Setting up loss I0912 11:16:11.626323 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.626335 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.626354 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.626365 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.626377 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.626387 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.626399 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.626408 11886 net.cpp:244] This network produces output loss I0912 11:16:11.626425 11886 net.cpp:257] Network initialization done. I0912 11:16:11.626749 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpkqhug8s2 I0912 11:16:11.626811 11886 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" } I0912 11:16:11.627054 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.627081 11886 net.cpp:86] Creating Layer data I0912 11:16:11.627100 11886 net.cpp:382] data -> data I0912 11:16:11.627123 11886 net.cpp:382] data -> label I0912 11:16:11.627151 11886 net.cpp:124] Setting up data I0912 11:16:11.627162 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.627177 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.627187 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.627197 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.627223 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.627233 11886 net.cpp:408] conv <- data I0912 11:16:11.627249 11886 net.cpp:382] conv -> conv I0912 11:16:11.627303 11886 net.cpp:124] Setting up conv I0912 11:16:11.627315 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.627327 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.627346 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.627365 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.627377 11886 net.cpp:408] ip <- conv I0912 11:16:11.627393 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.627715 11886 net.cpp:124] Setting up ip I0912 11:16:11.627737 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.627753 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.627780 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.627800 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.627813 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.627825 11886 net.cpp:408] loss <- label I0912 11:16:11.627840 11886 net.cpp:382] loss -> loss I0912 11:16:11.627862 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.627902 11886 net.cpp:124] Setting up loss I0912 11:16:11.627914 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.627929 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.627948 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.627961 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.627974 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.627987 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.628001 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.628012 11886 net.cpp:244] This network produces output loss I0912 11:16:11.628028 11886 net.cpp:257] Network initialization done. I0912 11:16:11.628078 11886 solver.cpp:57] Solver scaffolding done. I0912 11:16:11.628293 11886 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/tmpkqhug8s2" snapshot_after_train: false I0912 11:16:11.628391 11886 solver.cpp:102] Creating training net from net file: /tmp/tmpkqhug8s2 I0912 11:16:11.628738 11886 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" } I0912 11:16:11.628955 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.628979 11886 net.cpp:86] Creating Layer data I0912 11:16:11.628996 11886 net.cpp:382] data -> data I0912 11:16:11.629019 11886 net.cpp:382] data -> label I0912 11:16:11.629046 11886 net.cpp:124] Setting up data I0912 11:16:11.629058 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.629074 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.629086 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.629096 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.629123 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.629135 11886 net.cpp:408] conv <- data I0912 11:16:11.629153 11886 net.cpp:382] conv -> conv I0912 11:16:11.629207 11886 net.cpp:124] Setting up conv I0912 11:16:11.629220 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.629235 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.629739 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.629782 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.629796 11886 net.cpp:408] ip <- conv I0912 11:16:11.629814 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.630143 11886 net.cpp:124] Setting up ip I0912 11:16:11.630162 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.630179 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.630198 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.630214 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.630225 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.630236 11886 net.cpp:408] loss <- label I0912 11:16:11.630249 11886 net.cpp:382] loss -> loss I0912 11:16:11.630270 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.630302 11886 net.cpp:124] Setting up loss I0912 11:16:11.630313 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.630326 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.630344 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.630354 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.630365 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.630376 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.630388 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.630398 11886 net.cpp:244] This network produces output loss I0912 11:16:11.630414 11886 net.cpp:257] Network initialization done. I0912 11:16:11.630762 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpkqhug8s2 I0912 11:16:11.630818 11886 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" } I0912 11:16:11.631033 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.631058 11886 net.cpp:86] Creating Layer data I0912 11:16:11.631075 11886 net.cpp:382] data -> data I0912 11:16:11.631095 11886 net.cpp:382] data -> label I0912 11:16:11.631122 11886 net.cpp:124] Setting up data I0912 11:16:11.631134 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.631147 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.631160 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.631170 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.631194 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.631206 11886 net.cpp:408] conv <- data I0912 11:16:11.631227 11886 net.cpp:382] conv -> conv I0912 11:16:11.631289 11886 net.cpp:124] Setting up conv I0912 11:16:11.631302 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.631316 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.631336 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.631354 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.631364 11886 net.cpp:408] ip <- conv I0912 11:16:11.631378 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.631695 11886 net.cpp:124] Setting up ip I0912 11:16:11.631713 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.631726 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.631750 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.631767 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.631776 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.631786 11886 net.cpp:408] loss <- label I0912 11:16:11.631799 11886 net.cpp:382] loss -> loss I0912 11:16:11.631819 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.631846 11886 net.cpp:124] Setting up loss I0912 11:16:11.631857 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.631868 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.631884 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.631894 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.631906 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.631914 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.631925 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.631935 11886 net.cpp:244] This network produces output loss I0912 11:16:11.631951 11886 net.cpp:257] Network initialization done. I0912 11:16:11.631994 11886 solver.cpp:57] Solver scaffolding done. I0912 11:16:11.633958 11886 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I0912 11:16:11.634737 11886 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I0912 11:16:11.637163 11886 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/tmp62mk8ykq" snapshot_after_train: false I0912 11:16:11.637595 11886 solver.cpp:102] Creating training net from net file: /tmp/tmp62mk8ykq I0912 11:16:11.637946 11886 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" } I0912 11:16:11.638173 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.638204 11886 net.cpp:86] Creating Layer data I0912 11:16:11.638226 11886 net.cpp:382] data -> data I0912 11:16:11.638252 11886 net.cpp:382] data -> label I0912 11:16:11.638290 11886 net.cpp:124] Setting up data I0912 11:16:11.638303 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.638319 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.638331 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.638341 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.638367 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.638379 11886 net.cpp:408] conv <- data I0912 11:16:11.638398 11886 net.cpp:382] conv -> conv I0912 11:16:11.638464 11886 net.cpp:124] Setting up conv I0912 11:16:11.638478 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.638491 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.638514 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.638532 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.638543 11886 net.cpp:408] ip <- conv I0912 11:16:11.638559 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.638902 11886 net.cpp:124] Setting up ip I0912 11:16:11.638922 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.638939 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.638962 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.638981 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.638993 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.639004 11886 net.cpp:408] loss <- label I0912 11:16:11.639019 11886 net.cpp:382] loss -> loss I0912 11:16:11.639042 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.639086 11886 net.cpp:124] Setting up loss I0912 11:16:11.639096 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.639109 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.639130 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.639142 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.639153 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.639164 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.639176 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.639189 11886 net.cpp:244] This network produces output loss I0912 11:16:11.639204 11886 net.cpp:257] Network initialization done. I0912 11:16:11.639545 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp62mk8ykq I0912 11:16:11.639598 11886 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" } I0912 11:16:11.639812 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.639840 11886 net.cpp:86] Creating Layer data I0912 11:16:11.639858 11886 net.cpp:382] data -> data I0912 11:16:11.639880 11886 net.cpp:382] data -> label I0912 11:16:11.639907 11886 net.cpp:124] Setting up data I0912 11:16:11.639919 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.639935 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.639946 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.639956 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.639976 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.639987 11886 net.cpp:408] conv <- data I0912 11:16:11.640003 11886 net.cpp:382] conv -> conv I0912 11:16:11.640061 11886 net.cpp:124] Setting up conv I0912 11:16:11.640074 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.640086 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.640106 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.640123 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.640134 11886 net.cpp:408] ip <- conv I0912 11:16:11.640149 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.640476 11886 net.cpp:124] Setting up ip I0912 11:16:11.640496 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.640507 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.640527 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.640543 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.640554 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.640565 11886 net.cpp:408] loss <- label I0912 11:16:11.640579 11886 net.cpp:382] loss -> loss I0912 11:16:11.640599 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.640658 11886 net.cpp:124] Setting up loss I0912 11:16:11.640673 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.640686 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.640703 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.640714 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.640725 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.640735 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.640746 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.640756 11886 net.cpp:244] This network produces output loss I0912 11:16:11.640772 11886 net.cpp:257] Network initialization done. I0912 11:16:11.640815 11886 solver.cpp:57] Solver scaffolding done. I0912 11:16:11.641019 11886 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/tmp62mk8ykq" snapshot_after_train: false I0912 11:16:11.641104 11886 solver.cpp:102] Creating training net from net file: /tmp/tmp62mk8ykq I0912 11:16:11.641858 11886 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" } I0912 11:16:11.642102 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.642130 11886 net.cpp:86] Creating Layer data I0912 11:16:11.642148 11886 net.cpp:382] data -> data I0912 11:16:11.642171 11886 net.cpp:382] data -> label I0912 11:16:11.642204 11886 net.cpp:124] Setting up data I0912 11:16:11.642218 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.642235 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.642248 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.642261 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.642287 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.642299 11886 net.cpp:408] conv <- data I0912 11:16:11.642318 11886 net.cpp:382] conv -> conv I0912 11:16:11.642375 11886 net.cpp:124] Setting up conv I0912 11:16:11.642388 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.642401 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.642423 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.642439 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.642448 11886 net.cpp:408] ip <- conv I0912 11:16:11.642462 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.642779 11886 net.cpp:124] Setting up ip I0912 11:16:11.642799 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.642817 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.642841 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.642863 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.642875 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.642889 11886 net.cpp:408] loss <- label I0912 11:16:11.642904 11886 net.cpp:382] loss -> loss I0912 11:16:11.642927 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.642961 11886 net.cpp:124] Setting up loss I0912 11:16:11.642974 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.642987 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.643007 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.643018 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.643029 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.643041 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.643054 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.643065 11886 net.cpp:244] This network produces output loss I0912 11:16:11.643085 11886 net.cpp:257] Network initialization done. I0912 11:16:11.643440 11886 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp62mk8ykq I0912 11:16:11.643496 11886 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" } I0912 11:16:11.643710 11886 layer_factory.hpp:77] Creating layer data I0912 11:16:11.643736 11886 net.cpp:86] Creating Layer data I0912 11:16:11.643752 11886 net.cpp:382] data -> data I0912 11:16:11.643772 11886 net.cpp:382] data -> label I0912 11:16:11.643800 11886 net.cpp:124] Setting up data I0912 11:16:11.643811 11886 net.cpp:131] Top shape: 5 2 3 4 (120) I0912 11:16:11.643826 11886 net.cpp:131] Top shape: 5 1 1 1 (5) I0912 11:16:11.643838 11886 net.cpp:139] Memory required for data: 500 I0912 11:16:11.643848 11886 layer_factory.hpp:77] Creating layer conv I0912 11:16:11.643869 11886 net.cpp:86] Creating Layer conv I0912 11:16:11.643882 11886 net.cpp:408] conv <- data I0912 11:16:11.643900 11886 net.cpp:382] conv -> conv I0912 11:16:11.643967 11886 net.cpp:124] Setting up conv I0912 11:16:11.643983 11886 net.cpp:131] Top shape: 5 11 8 9 (3960) I0912 11:16:11.644001 11886 net.cpp:139] Memory required for data: 16340 I0912 11:16:11.644027 11886 layer_factory.hpp:77] Creating layer ip I0912 11:16:11.644048 11886 net.cpp:86] Creating Layer ip I0912 11:16:11.644062 11886 net.cpp:408] ip <- conv I0912 11:16:11.644079 11886 net.cpp:382] ip -> ip_blob I0912 11:16:11.644412 11886 net.cpp:124] Setting up ip I0912 11:16:11.644430 11886 net.cpp:131] Top shape: 5 13 (65) I0912 11:16:11.644443 11886 net.cpp:139] Memory required for data: 16600 I0912 11:16:11.644462 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.644479 11886 net.cpp:86] Creating Layer loss I0912 11:16:11.644488 11886 net.cpp:408] loss <- ip_blob I0912 11:16:11.644500 11886 net.cpp:408] loss <- label I0912 11:16:11.644515 11886 net.cpp:382] loss -> loss I0912 11:16:11.644534 11886 layer_factory.hpp:77] Creating layer loss I0912 11:16:11.644569 11886 net.cpp:124] Setting up loss I0912 11:16:11.644582 11886 net.cpp:131] Top shape: (1) I0912 11:16:11.644594 11886 net.cpp:134] with loss weight 1 I0912 11:16:11.644641 11886 net.cpp:139] Memory required for data: 16604 I0912 11:16:11.644655 11886 net.cpp:200] loss needs backward computation. I0912 11:16:11.644670 11886 net.cpp:200] ip needs backward computation. I0912 11:16:11.644680 11886 net.cpp:200] conv needs backward computation. I0912 11:16:11.644692 11886 net.cpp:202] data does not need backward computation. I0912 11:16:11.644703 11886 net.cpp:244] This network produces output loss I0912 11:16:11.644721 11886 net.cpp:257] Network initialization done. I0912 11:16:11.644982 11886 solver.cpp:57] Solver scaffolding done. I0912 11:16:11.647027 11886 solver.cpp:289] Solving testnet I0912 11:16:11.647071 11886 solver.cpp:290] Learning Rate Policy: inv I0912 11:16:11.647130 11886 solver.cpp:347] Iteration 0, Testing net (#0) I0912 11:16:11.650130 11886 solver.cpp:414] Test net output #0: loss = 53.2807 (* 1 = 53.2807 loss) I0912 11:16:11.650972 11886 solver.cpp:239] Iteration 0 (0 iter/s, 0.003s/100 iters), loss = 69.8692 I0912 11:16:11.651017 11886 solver.cpp:258] Train net output #0: loss = 69.8692 (* 1 = 69.8692 loss) I0912 11:16:11.651036 11886 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I0912 11:16:11.659072 11886 solver.cpp:347] Iteration 10, Testing net (#0) I0912 11:16:11.662031 11886 solver.cpp:414] Test net output #0: loss = 80.7909 (* 1 = 80.7909 loss) I0912 11:16:11.670863 11886 solver.cpp:347] Iteration 20, Testing net (#0) I0912 11:16:11.673934 11886 solver.cpp:414] Test net output #0: loss = 78.3511 (* 1 = 78.3511 loss) I0912 11:16:11.683012 11886 solver.cpp:347] Iteration 30, Testing net (#0) I0912 11:16:11.686064 11886 solver.cpp:414] Test net output #0: loss = 77.9892 (* 1 = 77.9892 loss) I0912 11:16:11.695042 11886 solver.cpp:347] Iteration 40, Testing net (#0) I0912 11:16:11.698040 11886 solver.cpp:414] Test net output #0: loss = 79.4594 (* 1 = 79.4594 loss) I0912 11:16:11.706929 11886 solver.cpp:347] Iteration 50, Testing net (#0) I0912 11:16:11.709951 11886 solver.cpp:414] Test net output #0: loss = 78.1652 (* 1 = 78.1652 loss) I0912 11:16:11.718894 11886 solver.cpp:347] Iteration 60, Testing net (#0) I0912 11:16:11.721844 11886 solver.cpp:414] Test net output #0: loss = 77.2253 (* 1 = 77.2253 loss) I0912 11:16:11.730793 11886 solver.cpp:347] Iteration 70, Testing net (#0) I0912 11:16:11.734148 11886 solver.cpp:414] Test net output #0: loss = 79.4422 (* 1 = 79.4422 loss) I0912 11:16:11.742945 11886 solver.cpp:347] Iteration 80, Testing net (#0) I0912 11:16:11.745872 11886 solver.cpp:414] Test net output #0: loss = 77.2542 (* 1 = 77.2542 loss) I0912 11:16:11.754631 11886 solver.cpp:347] Iteration 90, Testing net (#0) I0912 11:16:11.757553 11886 solver.cpp:414] Test net output #0: loss = 67.0528 (* 1 = 67.0528 loss) I0912 11:16:11.766588 11886 solver.cpp:327] Iteration 100, loss = 17.4673 I0912 11:16:11.766651 11886 solver.cpp:347] Iteration 100, Testing net (#0) I0912 11:16:11.769539 11886 solver.cpp:414] Test net output #0: loss = 75.7978 (* 1 = 75.7978 loss) I0912 11:16:11.769577 11886 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 40.129s OK make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pytest make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' create-stamp debian/debhelper-build-stamp fakeroot debian/rules binary dh binary -Scmake --with python3,bash-completion dh_testroot -O-Scmake dh_prep -O-Scmake debian/rules override_dh_auto_install-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install cd caffe_cpu_build && make -j4 install DESTDIR=/build/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 preinstall make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' 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/build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.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/pycaffe.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py -- 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/__init__.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/imagenet -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__init__.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/classifier.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_install make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_install # The upstream unittest can be used to verify the BLAS correctness. # the two lines start with dash in order to avoid FTBFS on Arch=all. mv caffe_cpu_build/test/test.testbin caffe-gtest install -m0755 caffe-gtest debian/caffe/usr/bin/ dh_missing --list-missing make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installdocs -O-Scmake dh_installchangelogs -O-Scmake dh_installexamples -O-Scmake dh_installman -O-Scmake dh_bash-completion -O-Scmake debian/rules override_dh_python3 make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_python3 --requires=python/requirements.txt I: dh_python3 fs:343: renaming _caffe.so to _caffe.cpython-39-arm-linux-gnueabihf.so dh_numpy3 make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_installinit -O-Scmake dh_lintian -O-Scmake dh_perl -O-Scmake dh_link -O-Scmake dh_strip_nondeterminism -O-Scmake dh_compress -O-Scmake debian/rules override_dh_fixperms-arch make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_fixperms -O-Scmake -Ncaffe -Nlibcaffe1 -Nlibcaffe-dev -Npython3-caffe dh_missing -O-Scmake dh_dwz -a -O-Scmake dh_strip -a -O-Scmake debian/rules override_dh_makeshlibs make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -a -O-Scmake dpkg-shlibdeps: warning: debian/python3-caffe/usr/lib/python3/dist-packages/caffe/_caffe.cpython-39-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: debian/caffe/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/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/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/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: symbol __aeabi_atexit@CXXABI_ARM_1.3.3 used by debian/libcaffe1/usr/lib/arm-linux-gnueabihf/libcaffe.so.1.0.0 found in none of the libraries dpkg-shlibdeps: warning: debian/caffe/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/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/usr/bin/upgrade_net_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/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/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/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/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/usr/bin/compute_image_mean contains an unresolvable reference to symbol __aeabi_atexit@CXXABI_ARM_1.3.3: it's probably a plugin dh_installdeb -O-Scmake dh_gencontrol -O-Scmake dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O-Scmake dh_builddeb -O-Scmake dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_armhf.deb'. dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_armhf.deb'. dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_armhf.deb'. dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_armhf.deb'. dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_armhf.deb'. dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_armhf.deb'. dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_armhf.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_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) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: user script /srv/workspace/pbuilder/10460/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/10460/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/10460 and its subdirectories I: Current time: Sun Sep 12 11:20:35 +14 2021 I: pbuilder-time-stamp: 1631395235