I: pbuilder: network access will be disabled during build I: Current time: Tue Sep 9 11:57:18 -12 2025 I: pbuilder-time-stamp: 1757462238 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [caffe_1.0.0+git20180821.99bd997-8.dsc] I: copying [./caffe_1.0.0+git20180821.99bd997.orig.tar.gz] I: copying [./caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' gpgv: keyblock resource '/tmp/dpkg-verify-sig.h56dfcEO/trustedkeys.kbx': General error gpgv: Signature made Fri Nov 20 19:51:48 2020 -12 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/3823469/tmp/hooks/D02_print_environment starting I: set BUILDDIR='/build/reproducible-path' BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other' BUILDUSERNAME='pbuilder1' BUILD_ARCH='amd64' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=42 ' DISTRIBUTION='bullseye' HOME='/root' HOST_ARCH='amd64' IFS=' ' INVOCATION_ID='55c57e000e194d46843eeeea35372e32' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' MAIL='/var/mail/root' OPTIND='1' PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' PBCURRENTCOMMANDLINEOPERATION='build' PBUILDER_OPERATION='build' PBUILDER_PKGDATADIR='/usr/share/pbuilder' PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' PBUILDER_SYSCONFDIR='/etc' PPID='3823469' PS1='# ' PS2='> ' PS4='+ ' PWD='/' SHELL='/bin/bash' SHLVL='2' SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.nnFTtvgQ/pbuilderrc_Iu0L --distribution bullseye --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.nnFTtvgQ/b1 --logfile b1/build.log caffe_1.0.0+git20180821.99bd997-8.dsc' SUDO_GID='110' SUDO_UID='105' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' http_proxy='http://213.165.73.152:3128' I: uname -a Linux ionos5-amd64 6.9.7+bpo-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.9.7-1~bpo12+1 (2024-07-03) x86_64 GNU/Linux I: ls -l /bin total 5476 -rwxr-xr-x 1 root root 1234376 Mar 27 2022 bash -rwxr-xr-x 3 root root 38984 Jul 20 2020 bunzip2 -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzcat lrwxrwxrwx 1 root root 6 Jul 20 2020 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2225 Jul 20 2020 bzdiff lrwxrwxrwx 1 root root 6 Jul 20 2020 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Sep 4 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 20 2020 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3775 Jul 20 2020 bzgrep -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzip2 -rwxr-xr-x 1 root root 18424 Jul 20 2020 bzip2recover lrwxrwxrwx 1 root root 6 Jul 20 2020 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 20 2020 bzmore -rwxr-xr-x 1 root root 43936 Sep 23 2020 cat -rwxr-xr-x 1 root root 72672 Sep 23 2020 chgrp -rwxr-xr-x 1 root root 64448 Sep 23 2020 chmod -rwxr-xr-x 1 root root 72672 Sep 23 2020 chown -rwxr-xr-x 1 root root 151168 Sep 23 2020 cp -rwxr-xr-x 1 root root 125560 Dec 10 2020 dash -rwxr-xr-x 1 root root 113664 Sep 23 2020 date -rwxr-xr-x 1 root root 80968 Sep 23 2020 dd -rwxr-xr-x 1 root root 93936 Sep 23 2020 df -rwxr-xr-x 1 root root 147176 Sep 23 2020 dir -rwxr-xr-x 1 root root 84440 Mar 27 2024 dmesg lrwxrwxrwx 1 root root 8 Nov 6 2019 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Nov 6 2019 domainname -> hostname -rwxr-xr-x 1 root root 39712 Sep 23 2020 echo -rwxr-xr-x 1 root root 28 Jan 24 2023 egrep -rwxr-xr-x 1 root root 39680 Sep 23 2020 false -rwxr-xr-x 1 root root 28 Jan 24 2023 fgrep -rwxr-xr-x 1 root root 69032 Mar 27 2024 findmnt -rwsr-xr-x 1 root root 34896 Feb 26 2021 fusermount -rwxr-xr-x 1 root root 203072 Jan 24 2023 grep -rwxr-xr-x 2 root root 2346 Apr 9 2022 gunzip -rwxr-xr-x 1 root root 6447 Apr 9 2022 gzexe -rwxr-xr-x 1 root root 98048 Apr 9 2022 gzip -rwxr-xr-x 1 root root 22600 Nov 6 2019 hostname -rwxr-xr-x 1 root root 72840 Sep 23 2020 ln -rwxr-xr-x 1 root root 56952 Feb 7 2020 login -rwxr-xr-x 1 root root 147176 Sep 23 2020 ls -rwxr-xr-x 1 root root 149736 Mar 27 2024 lsblk -rwxr-xr-x 1 root root 85184 Sep 23 2020 mkdir -rwxr-xr-x 1 root root 76896 Sep 23 2020 mknod -rwxr-xr-x 1 root root 48064 Sep 23 2020 mktemp -rwxr-xr-x 1 root root 59632 Mar 27 2024 more -rwsr-xr-x 1 root root 55528 Mar 27 2024 mount -rwxr-xr-x 1 root root 18664 Mar 27 2024 mountpoint -rwxr-xr-x 1 root root 147080 Sep 23 2020 mv lrwxrwxrwx 1 root root 8 Nov 6 2019 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Dec 16 2021 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 43872 Sep 23 2020 pwd lrwxrwxrwx 1 root root 4 Mar 27 2022 rbash -> bash -rwxr-xr-x 1 root root 52032 Sep 23 2020 readlink -rwxr-xr-x 1 root root 72704 Sep 23 2020 rm -rwxr-xr-x 1 root root 52032 Sep 23 2020 rmdir -rwxr-xr-x 1 root root 27472 Sep 27 2020 run-parts -rwxr-xr-x 1 root root 122224 Dec 22 2018 sed lrwxrwxrwx 1 root root 4 Sep 9 03:46 sh -> dash -rwxr-xr-x 1 root root 43808 Sep 23 2020 sleep -rwxr-xr-x 1 root root 84928 Sep 23 2020 stty -rwsr-xr-x 1 root root 71912 Mar 27 2024 su -rwxr-xr-x 1 root root 39744 Sep 23 2020 sync -rwxr-xr-x 1 root root 531928 Jan 19 2024 tar -rwxr-xr-x 1 root root 14456 Sep 27 2020 tempfile -rwxr-xr-x 1 root root 101408 Sep 23 2020 touch -rwxr-xr-x 1 root root 39680 Sep 23 2020 true -rwxr-xr-x 1 root root 14328 Feb 26 2021 ulockmgr_server -rwsr-xr-x 1 root root 35040 Mar 27 2024 umount -rwxr-xr-x 1 root root 39744 Sep 23 2020 uname -rwxr-xr-x 2 root root 2346 Apr 9 2022 uncompress -rwxr-xr-x 1 root root 147176 Sep 23 2020 vdir -rwxr-xr-x 1 root root 63744 Mar 27 2024 wdctl lrwxrwxrwx 1 root root 8 Nov 6 2019 ypdomainname -> hostname -rwxr-xr-x 1 root root 1984 Apr 9 2022 zcat -rwxr-xr-x 1 root root 1678 Apr 9 2022 zcmp -rwxr-xr-x 1 root root 5898 Apr 9 2022 zdiff -rwxr-xr-x 1 root root 29 Apr 9 2022 zegrep -rwxr-xr-x 1 root root 29 Apr 9 2022 zfgrep -rwxr-xr-x 1 root root 2081 Apr 9 2022 zforce -rwxr-xr-x 1 root root 8049 Apr 9 2022 zgrep -rwxr-xr-x 1 root root 2206 Apr 9 2022 zless -rwxr-xr-x 1 root root 1842 Apr 9 2022 zmore -rwxr-xr-x 1 root root 4577 Apr 9 2022 znew I: user script /srv/workspace/pbuilder/3823469/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: bc, cmake, bash-completion, debhelper-compat (= 13), dh-python, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4), libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml, doxygen, doxygen-latex dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19711 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on bc; however: Package bc is not installed. pbuilder-satisfydepends-dummy depends on cmake; however: Package cmake is not installed. pbuilder-satisfydepends-dummy depends on bash-completion; however: Package bash-completion is not installed. pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on libboost-dev; however: Package libboost-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-filesystem-dev; however: Package libboost-filesystem-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-system-dev; however: Package libboost-system-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-thread-dev; however: Package libboost-thread-dev is not installed. pbuilder-satisfydepends-dummy depends on libboost-python-dev; however: Package libboost-python-dev is not installed. pbuilder-satisfydepends-dummy depends on libgflags-dev; however: Package libgflags-dev is not installed. pbuilder-satisfydepends-dummy depends on libgoogle-glog-dev; however: Package libgoogle-glog-dev is not installed. pbuilder-satisfydepends-dummy depends on libhdf5-dev; however: Package libhdf5-dev is not installed. pbuilder-satisfydepends-dummy depends on libleveldb-dev; however: Package libleveldb-dev is not installed. pbuilder-satisfydepends-dummy depends on liblmdb-dev; however: Package liblmdb-dev is not installed. pbuilder-satisfydepends-dummy depends on libblas-dev | libblas.so; however: Package libblas-dev is not installed. Package libblas.so is not installed. pbuilder-satisfydepends-dummy depends on libopencv-dev (>= 2.4); however: Package libopencv-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotobuf-dev; however: Package libprotobuf-dev is not installed. pbuilder-satisfydepends-dummy depends on libprotoc-dev; however: Package libprotoc-dev is not installed. pbuilder-satisfydepends-dummy depends on libsnappy-dev; however: Package libsnappy-dev is not installed. pbuilder-satisfydepends-dummy depends on protobuf-compiler; however: Package protobuf-compiler is not installed. pbuilder-satisfydepends-dummy depends on python3-dev; however: Package python3-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on cython3; however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on ipython3; however: Package ipython3 is not installed. pbuilder-satisfydepends-dummy depends on python3; however: Package python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-distutils; however: Package python3-distutils is not installed. pbuilder-satisfydepends-dummy depends on python3-skimage; however: Package python3-skimage is not installed. pbuilder-satisfydepends-dummy depends on python3-protobuf; however: Package python3-protobuf is not installed. pbuilder-satisfydepends-dummy depends on python3-dateutil; however: Package python3-dateutil is not installed. pbuilder-satisfydepends-dummy depends on python3-gflags; however: Package python3-gflags is not installed. pbuilder-satisfydepends-dummy depends on python3-h5py; however: Package python3-h5py is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-networkx; however: Package python3-networkx is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-pandas; however: Package python3-pandas is not installed. pbuilder-satisfydepends-dummy depends on python3-pil; however: Package python3-pil is not installed. pbuilder-satisfydepends-dummy depends on python3-pydotplus; however: Package python3-pydotplus is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-yaml; however: Package python3-yaml is not installed. pbuilder-satisfydepends-dummy depends on doxygen; however: Package doxygen is not installed. pbuilder-satisfydepends-dummy depends on doxygen-latex; however: Package doxygen-latex is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: adwaita-icon-theme{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bash-completion{a} bc{a} bsdextrautils{a} cm-super-minimal{a} cmake{a} cmake-data{a} cython3{a} dbus{a} dbus-user-session{a} dconf-gsettings-backend{a} dconf-service{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dmsetup{a} doxygen{a} doxygen-latex{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-lyx{a} fonts-urw-base35{a} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} glib-networking{a} glib-networking-common{a} glib-networking-services{a} graphviz{a} groff-base{a} gsettings-desktop-schemas{a} gtk-update-icon-cache{a} hdf5-helpers{a} hicolor-icon-theme{a} intltool-debian{a} ipython3{a} iso-codes{a} libaec-dev{a} libaec0{a} libann0{a} libaom0{a} libapache-pom-java{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo10{a} libarpack2{a} libatk-bridge2.0-0{a} libatk1.0-0{a} libatk1.0-data{a} libatspi2.0-0{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavcodec-dev{a} libavcodec58{a} libavformat-dev{a} libavformat58{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.74-dev{a} libboost-atomic1.74.0{a} libboost-chrono1.74-dev{a} libboost-chrono1.74.0{a} libboost-date-time1.74-dev{a} libboost-date-time1.74.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.74-dev{a} libboost-filesystem1.74.0{a} libboost-python-dev{a} libboost-python1.74-dev{a} libboost-python1.74.0{a} libboost-serialization1.74-dev{a} libboost-serialization1.74.0{a} libboost-system-dev{a} libboost-system1.74-dev{a} libboost-system1.74.0{a} libboost-thread-dev{a} libboost-thread1.74-dev{a} libboost-thread1.74.0{a} libboost1.74-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcap2-bin{a} libcdt5{a} libcfitsio9{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang-cpp11{a} libclang1-11{a} libcodec2-0.9{a} libcolord2{a} libcommons-logging-java{a} libcommons-parent-java{a} libcryptsetup12{a} libcups2{a} libcurl3-gnutls{a} libcurl4{a} libdap27{a} libdapclient6v5{a} libdatrie1{a} libdav1d4{a} libdbus-1-3{a} libdc1394-25{a} libdc1394-dev{a} libdconf1{a} libde265-0{a} libdebhelper-perl{a} libdeflate-dev{a} libdeflate0{a} libdevmapper1.02.1{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libdw1{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontbox-java{a} libfontconfig1{a} libfontenc1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal28{a} libgdcm-dev{a} libgdcm3.0{a} libgdk-pixbuf-2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.9.0{a} libgeos-c1v5{a} libgeotiff5{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglew2.1{a} libglib2.0-0{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgme0{a} libgoogle-glog-dev{a} libgoogle-glog0v5{a} libgphoto2-6{a} libgphoto2-dev{a} libgphoto2-port12{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgsm1{a} libgstreamer-plugins-base1.0-0{a} libgstreamer1.0-0{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103-1{a} libhdf5-cpp-103-1{a} libhdf5-dev{a} libhdf5-fortran-102{a} libhdf5-hl-100{a} libhdf5-hl-cpp-100{a} libhdf5-hl-fortran-100{a} libheif1{a} libice6{a} libicu67{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase25{a} libimagequant0{a} libip4tc2{a} libjbig-dev{a} libjbig0{a} libjbig2dec0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-c5{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp24{a} libkmlbase1{a} libkmldom1{a} libkmlengine1{a} libkmod2{a} libkpathsea6{a} liblab-gamut1{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} libldap-2.4-2{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm11{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzf1{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmd0{a} libmfx1{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec3{a} libmpg123-0{a} libncurses6{a} libnetcdf18{a} libnghttp2-14{a} libnorm1{a} libnspr4{a} libnss3{a} libnuma1{a} libodbc1{a} libogdi4.1{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d4.5{a} libopencv-contrib-dev{a} libopencv-contrib4.5{a} libopencv-core-dev{a} libopencv-core4.5{a} libopencv-dev{a} libopencv-dnn-dev{a} libopencv-dnn4.5{a} libopencv-features2d-dev{a} libopencv-features2d4.5{a} libopencv-flann-dev{a} libopencv-flann4.5{a} libopencv-highgui-dev{a} libopencv-highgui4.5{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs4.5{a} libopencv-imgproc-dev{a} libopencv-imgproc4.5{a} libopencv-ml-dev{a} libopencv-ml4.5{a} libopencv-objdetect-dev{a} libopencv-objdetect4.5{a} libopencv-photo-dev{a} libopencv-photo4.5{a} libopencv-shape-dev{a} libopencv-shape4.5{a} libopencv-stitching-dev{a} libopencv-stitching4.5{a} libopencv-superres-dev{a} libopencv-superres4.5{a} libopencv-video-dev{a} libopencv-video4.5{a} libopencv-videoio-dev{a} libopencv-videoio4.5{a} libopencv-videostab-dev{a} libopencv-videostab4.5{a} libopencv-viz-dev{a} libopencv-viz4.5{a} libopenexr-dev{a} libopenexr25{a} libopengl0{a} libopenjp2-7{a} libopenmpt0{a} libopus0{a} liborc-0.4-0{a} libpam-systemd{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpciaccess0{a} libpdfbox-java{a} libpgm-5.3-0{a} libpipeline1{a} libpixman-1-0{a} libpng-dev{a} libpng16-16{a} libpoppler102{a} libpq5{a} libprocps8{a} libproj19{a} libprotobuf-dev{a} libprotobuf-lite23{a} libprotobuf23{a} libprotoc-dev{a} libprotoc23{a} libproxy1v5{a} libpsl5{a} libptexenc1{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.9{a} libpython3.9-dev{a} libpython3.9-minimal{a} libpython3.9-stdlib{a} libqhull8.0{a} librabbitmq4{a} libraw1394-11{a} libraw1394-dev{a} libreadline8{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librtmp1{a} librttopo1{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libshine3{a} libsigsegv2{a} libsm6{a} libsnappy-dev{a} libsnappy1v5{a} libsocket++1{a} libsodium23{a} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libsrt1.4-gnutls{a} libssh-gcrypt-4{a} libssh2-1{a} libsub-override-perl{a} libsuperlu5{a} libswresample-dev{a} libswresample3{a} libswscale-dev{a} libswscale5{a} libsynctex2{a} libsz2{a} libtbb-dev{a} libtbb2{a} libtcl8.6{a} libteckit0{a} libtesseract4{a} libtexlua53{a} libtexluajit2{a} libthai-data{a} libthai0{a} libtheora0{a} libtiff-dev{a} libtiff5{a} libtiffxx5{a} libtk8.6{a} libtool{a} libtwolame0{a} libuchardet0{a} libudfread0{a} libunicode-linebreak-perl{a} libunwind-dev{a} libunwind8{a} liburiparser1{a} libusb-1.0-0{a} libuv1{a} libva-drm2{a} libva-x11-2{a} libva2{a} libvdpau1{a} libvorbis0a{a} libvorbisenc2{a} libvorbisfile3{a} libvpx6{a} libvtk9{a} libvulkan1{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-160{a} libx265-192{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-xfixes0{a} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxerces-c3.2{a} libxext6{a} libxfixes3{a} libxft2{a} libxi6{a} libxinerama1{a} libxkbcommon0{a} libxml2{a} libxmu6{a} libxpm4{a} libxrandr2{a} libxrender1{a} libxshmfence1{a} libxss1{a} libxt6{a} libxvidcore4{a} libxxf86vm1{a} libyaml-0-2{a} libz3-4{a} libzmq5{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lmodern{a} m4{a} mailcap{a} man-db{a} mariadb-common{a} media-types{a} mime-support{a} mysql-common{a} ocl-icd-libopencl1{a} odbcinst{a} odbcinst1debian2{a} pkg-config{a} po-debconf{a} poppler-data{a} preview-latex-style{a} procps{a} proj-data{a} protobuf-compiler{a} python-matplotlib-data{a} python3{a} python3-backcall{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-h5py-serial{a} python3-imageio{a} python3-ipython{a} python3-ipython-genutils{a} python3-jedi{a} python3-kiwisolver{a} python3-lib2to3{a} python3-matplotlib{a} python3-minimal{a} python3-networkx{a} python3-nose{a} python3-numpy{a} python3-pandas{a} python3-pandas-lib{a} python3-parso{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-protobuf{a} python3-ptyprocess{a} python3-pydotplus{a} python3-pygments{a} python3-pyparsing{a} python3-pywt{a} python3-scipy{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-tifffile{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.9{a} python3.9-dev{a} python3.9-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-extra-utils{a} texlive-font-utils{a} texlive-fonts-recommended{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-luatex{a} texlive-pictures{a} texlive-plain-generic{a} ttf-bitstream-vera{a} ucf{a} x11-common{a} xdg-utils{a} xfonts-encodings{a} xfonts-utils{a} xkb-data{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: at-spi2-core ca-certificates chrony curl dvisvgm fonts-droid-fallback fonts-liberation gstreamer1.0-plugins-base i965-va-driver intel-media-va-driver javascript-common libaacs0 libarchive-cpio-perl libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin libldap-common liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libopencv4.5-java libpam-cap libpng-tools libraw1394-tools librsvg2-common libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lynx mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers ntp ntpsec opencv-data openntpd proj-bin ps2eps psmisc publicsuffix python3-bottleneck python3-bs4 python3-dask python3-gdal python3-html5lib python3-jinja2 python3-lxml python3-numba python3-numexpr python3-odf python3-olefile python3-openpyxl python3-pydot python3-pygraphviz python3-pytest python3-tables python3-tk python3-xlwt ruby systemd-timesyncd tex-gyre tipa tk va-driver-all vdpau-driver-all wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 556 newly installed, 0 to remove and 0 not upgraded. Need to get 564 MB of archives. After unpacking 2058 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian bullseye/main amd64 libapparmor1 amd64 2.13.6-10 [99.3 kB] Get: 2 http://deb.debian.org/debian bullseye/main amd64 libcap2 amd64 1:2.44-1 [23.6 kB] Get: 3 http://deb.debian.org/debian bullseye/main amd64 libargon2-1 amd64 0~20171227-0.2 [19.6 kB] Get: 4 http://deb.debian.org/debian bullseye/main amd64 dmsetup amd64 2:1.02.175-2.1 [92.1 kB] Get: 5 http://deb.debian.org/debian bullseye/main amd64 libdevmapper1.02.1 amd64 2:1.02.175-2.1 [143 kB] Get: 6 http://deb.debian.org/debian bullseye/main amd64 libjson-c5 amd64 0.15-2+deb11u1 [42.9 kB] Get: 7 http://deb.debian.org/debian bullseye/main amd64 libcryptsetup12 amd64 2:2.3.7-1+deb11u1 [248 kB] Get: 8 http://deb.debian.org/debian bullseye/main amd64 libip4tc2 amd64 1.8.7-1 [34.6 kB] Get: 9 http://deb.debian.org/debian bullseye/main amd64 libkmod2 amd64 28-1 [55.6 kB] Get: 10 http://deb.debian.org/debian bullseye/main amd64 systemd amd64 247.3-7+deb11u5 [4502 kB] Get: 11 http://deb.debian.org/debian bullseye/main amd64 systemd-sysv amd64 247.3-7+deb11u5 [114 kB] Get: 12 http://deb.debian.org/debian bullseye/main amd64 libdbus-1-3 amd64 1.12.28-0+deb11u1 [223 kB] Get: 13 http://deb.debian.org/debian bullseye/main amd64 libexpat1 amd64 2.2.10-2+deb11u5 [98.2 kB] Get: 14 http://deb.debian.org/debian bullseye/main amd64 dbus amd64 1.12.28-0+deb11u1 [244 kB] Get: 15 http://deb.debian.org/debian bullseye/main amd64 bsdextrautils amd64 2.36.1-8+deb11u2 [146 kB] Get: 16 http://deb.debian.org/debian bullseye/main amd64 libuchardet0 amd64 0.0.7-1 [67.8 kB] Get: 17 http://deb.debian.org/debian bullseye/main amd64 groff-base amd64 1.22.4-6 [936 kB] Get: 18 http://deb.debian.org/debian bullseye/main amd64 libpipeline1 amd64 1.5.3-1 [34.3 kB] Get: 19 http://deb.debian.org/debian bullseye/main amd64 man-db amd64 2.9.4-2 [1354 kB] Get: 20 http://deb.debian.org/debian bullseye/main amd64 poppler-data all 0.4.10-1 [1602 kB] Get: 21 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-minimal amd64 3.9.2-1 [801 kB] Get: 22 http://deb.debian.org/debian bullseye/main amd64 python3.9-minimal amd64 3.9.2-1 [1955 kB] Get: 23 http://deb.debian.org/debian bullseye/main amd64 python3-minimal amd64 3.9.2-3 [38.2 kB] Get: 24 http://deb.debian.org/debian bullseye/main amd64 media-types all 4.0.0 [30.3 kB] Get: 25 http://deb.debian.org/debian bullseye/main amd64 mailcap all 3.69 [31.7 kB] Get: 26 http://deb.debian.org/debian bullseye/main amd64 mime-support all 3.66 [10.9 kB] Get: 27 http://deb.debian.org/debian bullseye/main amd64 libmpdec3 amd64 2.5.1-1 [87.7 kB] Get: 28 http://deb.debian.org/debian bullseye/main amd64 readline-common all 8.1-1 [73.7 kB] Get: 29 http://deb.debian.org/debian bullseye/main amd64 libreadline8 amd64 8.1-1 [169 kB] Get: 30 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-stdlib amd64 3.9.2-1 [1684 kB] Get: 31 http://deb.debian.org/debian bullseye/main amd64 python3.9 amd64 3.9.2-1 [466 kB] Get: 32 http://deb.debian.org/debian bullseye/main amd64 libpython3-stdlib amd64 3.9.2-3 [21.4 kB] Get: 33 http://deb.debian.org/debian bullseye/main amd64 python3 amd64 3.9.2-3 [37.9 kB] Get: 34 http://deb.debian.org/debian bullseye/main amd64 sensible-utils all 0.0.14 [14.8 kB] Get: 35 http://deb.debian.org/debian bullseye/main amd64 ucf all 3.0043 [74.0 kB] Get: 36 http://deb.debian.org/debian bullseye/main amd64 tex-common all 6.16 [53.7 kB] Get: 37 http://deb.debian.org/debian bullseye/main amd64 libncurses6 amd64 6.2+20201114-2+deb11u2 [102 kB] Get: 38 http://deb.debian.org/debian bullseye/main amd64 libprocps8 amd64 2:3.3.17-5 [63.9 kB] Get: 39 http://deb.debian.org/debian bullseye/main amd64 procps amd64 2:3.3.17-5 [502 kB] Get: 40 http://deb.debian.org/debian bullseye/main amd64 bash-completion all 1:2.11-2 [234 kB] Get: 41 http://deb.debian.org/debian bullseye/main amd64 libmagic-mgc amd64 1:5.39-3+deb11u1 [273 kB] Get: 42 http://deb.debian.org/debian bullseye/main amd64 libmagic1 amd64 1:5.39-3+deb11u1 [128 kB] Get: 43 http://deb.debian.org/debian bullseye/main amd64 file amd64 1:5.39-3+deb11u1 [69.2 kB] Get: 44 http://deb.debian.org/debian bullseye/main amd64 gettext-base amd64 0.21-4 [175 kB] Get: 45 http://deb.debian.org/debian bullseye/main amd64 libpam-systemd amd64 247.3-7+deb11u5 [283 kB] Get: 46 http://deb.debian.org/debian bullseye/main amd64 hicolor-icon-theme all 0.17-2 [11.4 kB] Get: 47 http://deb.debian.org/debian bullseye/main amd64 libgdk-pixbuf2.0-common all 2.42.2+dfsg-1+deb11u2 [320 kB] Get: 48 http://deb.debian.org/debian bullseye/main amd64 libglib2.0-0 amd64 2.66.8-1+deb11u4 [1377 kB] Get: 49 http://deb.debian.org/debian bullseye/main amd64 libicu67 amd64 67.1-7 [8622 kB] Get: 50 http://deb.debian.org/debian bullseye/main amd64 libxml2 amd64 2.9.10+dfsg-6.7+deb11u4 [693 kB] Get: 51 http://deb.debian.org/debian bullseye/main amd64 shared-mime-info amd64 2.0-1 [701 kB] Get: 52 http://deb.debian.org/debian bullseye/main amd64 libjpeg62-turbo amd64 1:2.0.6-4 [151 kB] Get: 53 http://deb.debian.org/debian bullseye/main amd64 libpng16-16 amd64 1.6.37-3 [294 kB] Get: 54 http://deb.debian.org/debian bullseye/main amd64 libdeflate0 amd64 1.7-1 [53.1 kB] Get: 55 http://deb.debian.org/debian bullseye/main amd64 libjbig0 amd64 2.1-3.1+b2 [31.0 kB] Get: 56 http://deb.debian.org/debian bullseye/main amd64 libwebp6 amd64 0.6.1-2.1+deb11u2 [259 kB] Get: 57 http://deb.debian.org/debian bullseye/main amd64 libtiff5 amd64 4.2.0-1+deb11u5 [290 kB] Get: 58 http://deb.debian.org/debian bullseye/main amd64 libgdk-pixbuf-2.0-0 amd64 2.42.2+dfsg-1+deb11u2 [147 kB] Get: 59 http://deb.debian.org/debian bullseye/main amd64 gtk-update-icon-cache amd64 3.24.24-4+deb11u3 [88.4 kB] Get: 60 http://deb.debian.org/debian bullseye/main amd64 adwaita-icon-theme all 3.38.0-1 [10.9 MB] Get: 61 http://deb.debian.org/debian bullseye/main amd64 libsigsegv2 amd64 2.13-1 [34.8 kB] Get: 62 http://deb.debian.org/debian bullseye/main amd64 m4 amd64 1.4.18-5 [204 kB] Get: 63 http://deb.debian.org/debian bullseye/main amd64 autoconf all 2.69-14 [313 kB] Get: 64 http://deb.debian.org/debian bullseye/main amd64 autotools-dev all 20180224.1+nmu1 [77.1 kB] Get: 65 http://deb.debian.org/debian bullseye/main amd64 automake all 1:1.16.3-2 [814 kB] Get: 66 http://deb.debian.org/debian bullseye/main amd64 autopoint all 0.21-4 [510 kB] Get: 67 http://deb.debian.org/debian bullseye/main amd64 bc amd64 1.07.1-2+b2 [109 kB] Get: 68 http://deb.debian.org/debian bullseye/main amd64 libpaper1 amd64 1.1.28+b1 [21.6 kB] Get: 69 http://deb.debian.org/debian bullseye/main amd64 libpaper-utils amd64 1.1.28+b1 [18.3 kB] Get: 70 http://deb.debian.org/debian bullseye/main amd64 libkpathsea6 amd64 2020.20200327.54578-7+deb11u1 [172 kB] Get: 71 http://deb.debian.org/debian bullseye/main amd64 libptexenc1 amd64 2020.20200327.54578-7+deb11u1 [64.7 kB] Get: 72 http://deb.debian.org/debian bullseye/main amd64 libsynctex2 amd64 2020.20200327.54578-7+deb11u1 [83.4 kB] Get: 73 http://deb.debian.org/debian bullseye/main amd64 libtexlua53 amd64 2020.20200327.54578-7+deb11u1 [131 kB] Get: 74 http://deb.debian.org/debian bullseye/main amd64 libtexluajit2 amd64 2020.20200327.54578-7+deb11u1 [267 kB] Get: 75 http://deb.debian.org/debian bullseye/main amd64 t1utils amd64 1.41-4 [62.1 kB] Get: 76 http://deb.debian.org/debian bullseye/main amd64 libbrotli1 amd64 1.0.9-2+b2 [279 kB] Get: 77 http://deb.debian.org/debian bullseye/main amd64 libfreetype6 amd64 2.10.4+dfsg-1+deb11u1 [418 kB] Get: 78 http://deb.debian.org/debian bullseye/main amd64 fonts-dejavu-core all 2.37-2 [1069 kB] Get: 79 http://deb.debian.org/debian bullseye/main amd64 ttf-bitstream-vera all 1.10-8.1 [223 kB] Get: 80 http://deb.debian.org/debian bullseye/main amd64 fonts-urw-base35 all 20200910-1 [6367 kB] Get: 81 http://deb.debian.org/debian bullseye/main amd64 fontconfig-config all 2.13.1-4.2 [281 kB] Get: 82 http://deb.debian.org/debian bullseye/main amd64 libfontconfig1 amd64 2.13.1-4.2 [347 kB] Get: 83 http://deb.debian.org/debian bullseye/main amd64 libpixman-1-0 amd64 0.40.0-1.1~deb11u1 [543 kB] Get: 84 http://deb.debian.org/debian bullseye/main amd64 libxau6 amd64 1:1.0.9-1 [19.7 kB] Get: 85 http://deb.debian.org/debian bullseye/main amd64 libmd0 amd64 1.0.3-3 [28.0 kB] Get: 86 http://deb.debian.org/debian bullseye/main amd64 libbsd0 amd64 0.11.3-1+deb11u1 [108 kB] Get: 87 http://deb.debian.org/debian bullseye/main amd64 libxdmcp6 amd64 1:1.1.2-3 [26.3 kB] Get: 88 http://deb.debian.org/debian bullseye/main amd64 libxcb1 amd64 1.14-3 [140 kB] Get: 89 http://deb.debian.org/debian bullseye/main amd64 libx11-data all 2:1.7.2-1+deb11u2 [311 kB] Get: 90 http://deb.debian.org/debian bullseye/main amd64 libx11-6 amd64 2:1.7.2-1+deb11u2 [772 kB] Get: 91 http://deb.debian.org/debian bullseye/main amd64 libxcb-render0 amd64 1.14-3 [111 kB] Get: 92 http://deb.debian.org/debian bullseye/main amd64 libxcb-shm0 amd64 1.14-3 [101 kB] Get: 93 http://deb.debian.org/debian bullseye/main amd64 libxext6 amd64 2:1.3.3-1.1 [52.7 kB] Get: 94 http://deb.debian.org/debian bullseye/main amd64 libxrender1 amd64 1:0.9.10-1 [33.0 kB] Get: 95 http://deb.debian.org/debian bullseye/main amd64 libcairo2 amd64 1.16.0-5 [694 kB] Get: 96 http://deb.debian.org/debian bullseye/main amd64 libgraphite2-3 amd64 1.3.14-1 [81.2 kB] Get: 97 http://deb.debian.org/debian bullseye/main amd64 libharfbuzz0b amd64 2.7.4-1 [1471 kB] Get: 98 http://deb.debian.org/debian bullseye/main amd64 libteckit0 amd64 2.5.10+ds1-3 [329 kB] Get: 99 http://deb.debian.org/debian bullseye/main amd64 x11-common all 1:7.7+22 [252 kB] Get: 100 http://deb.debian.org/debian bullseye/main amd64 libice6 amd64 2:1.0.10-1 [58.5 kB] Get: 101 http://deb.debian.org/debian bullseye/main amd64 libsm6 amd64 2:1.2.3-1 [35.1 kB] Get: 102 http://deb.debian.org/debian bullseye/main amd64 libxt6 amd64 1:1.2.0-1 [189 kB] Get: 103 http://deb.debian.org/debian bullseye/main amd64 libxmu6 amd64 2:1.1.2-2+b3 [60.8 kB] Get: 104 http://deb.debian.org/debian bullseye/main amd64 libxpm4 amd64 1:3.5.12-1.1+deb11u1 [50.0 kB] Get: 105 http://deb.debian.org/debian bullseye/main amd64 libxaw7 amd64 2:1.0.13-1.1 [202 kB] Get: 106 http://deb.debian.org/debian bullseye/main amd64 libxi6 amd64 2:1.7.10-1 [83.4 kB] Get: 107 http://deb.debian.org/debian bullseye/main amd64 libzzip-0-13 amd64 0.13.62-3.3+deb11u1 [55.9 kB] Get: 108 http://deb.debian.org/debian bullseye/main amd64 texlive-binaries amd64 2020.20200327.54578-7+deb11u1 [10.1 MB] Get: 109 http://deb.debian.org/debian bullseye/main amd64 xdg-utils all 1.1.3-4.1 [75.5 kB] Get: 110 http://deb.debian.org/debian bullseye/main amd64 texlive-base all 2020.20210202-3 [20.8 MB] Get: 111 http://deb.debian.org/debian bullseye/main amd64 fonts-lmodern all 2.004.5-6.1 [4540 kB] Get: 112 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-base all 2020.20210202-3 [1120 kB] Get: 113 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-recommended all 2020.20210202-3 [14.5 MB] Get: 114 http://deb.debian.org/debian bullseye/main amd64 cm-super-minimal all 0.3.4-15 [5815 kB] Get: 115 http://deb.debian.org/debian bullseye/main amd64 cmake-data all 3.18.4-2+deb11u1 [1725 kB] Get: 116 http://deb.debian.org/debian bullseye/main amd64 libarchive13 amd64 3.4.3-2+deb11u1 [343 kB] Get: 117 http://deb.debian.org/debian bullseye/main amd64 libsasl2-modules-db amd64 2.1.27+dfsg-2.1+deb11u1 [69.1 kB] Get: 118 http://deb.debian.org/debian bullseye/main amd64 libsasl2-2 amd64 2.1.27+dfsg-2.1+deb11u1 [106 kB] Get: 119 http://deb.debian.org/debian bullseye/main amd64 libldap-2.4-2 amd64 2.4.57+dfsg-3+deb11u1 [232 kB] Get: 120 http://deb.debian.org/debian bullseye/main amd64 libnghttp2-14 amd64 1.43.0-1+deb11u1 [77.2 kB] Get: 121 http://deb.debian.org/debian bullseye/main amd64 libpsl5 amd64 0.21.0-1.2 [57.3 kB] Get: 122 http://deb.debian.org/debian bullseye/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b2 [60.8 kB] Get: 123 http://deb.debian.org/debian bullseye/main amd64 libssh2-1 amd64 1.9.0-2+deb11u1 [156 kB] Get: 124 http://deb.debian.org/debian bullseye/main amd64 libcurl4 amd64 7.74.0-1.3+deb11u12 [347 kB] Get: 125 http://deb.debian.org/debian bullseye/main amd64 libjsoncpp24 amd64 1.9.4-4 [78.9 kB] Get: 126 http://deb.debian.org/debian bullseye/main amd64 librhash0 amd64 1.4.1-2 [129 kB] Get: 127 http://deb.debian.org/debian bullseye/main amd64 libuv1 amd64 1.40.0-2+deb11u1 [132 kB] Get: 128 http://deb.debian.org/debian bullseye/main amd64 cmake amd64 3.18.4-2+deb11u1 [5593 kB] Get: 129 http://deb.debian.org/debian bullseye/main amd64 cython3 amd64 0.29.21-3+b1 [1312 kB] Get: 130 http://deb.debian.org/debian bullseye/main amd64 dbus-user-session amd64 1.12.28-0+deb11u1 [100 kB] Get: 131 http://deb.debian.org/debian bullseye/main amd64 libdconf1 amd64 0.38.0-2 [43.5 kB] Get: 132 http://deb.debian.org/debian bullseye/main amd64 dconf-service amd64 0.38.0-2 [37.4 kB] Get: 133 http://deb.debian.org/debian bullseye/main amd64 dconf-gsettings-backend amd64 0.38.0-2 [30.6 kB] Get: 134 http://deb.debian.org/debian bullseye/main amd64 libdebhelper-perl all 13.3.4 [189 kB] Get: 135 http://deb.debian.org/debian bullseye/main amd64 libtool all 2.4.6-15 [513 kB] Get: 136 http://deb.debian.org/debian bullseye/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 137 http://deb.debian.org/debian bullseye/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 138 http://deb.debian.org/debian bullseye/main amd64 libsub-override-perl all 0.09-2 [10.2 kB] Get: 139 http://deb.debian.org/debian bullseye/main amd64 libfile-stripnondeterminism-perl all 1.12.0-1 [26.3 kB] Get: 140 http://deb.debian.org/debian bullseye/main amd64 dh-strip-nondeterminism all 1.12.0-1 [15.4 kB] Get: 141 http://deb.debian.org/debian bullseye/main amd64 libelf1 amd64 0.183-1 [165 kB] Get: 142 http://deb.debian.org/debian bullseye/main amd64 dwz amd64 0.13+20210201-1 [175 kB] Get: 143 http://deb.debian.org/debian bullseye/main amd64 gettext amd64 0.21-4 [1311 kB] Get: 144 http://deb.debian.org/debian bullseye/main amd64 intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 145 http://deb.debian.org/debian bullseye/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 146 http://deb.debian.org/debian bullseye/main amd64 debhelper all 13.3.4 [1049 kB] Get: 147 http://deb.debian.org/debian bullseye/main amd64 python3-lib2to3 all 3.9.2-1 [77.8 kB] Get: 148 http://deb.debian.org/debian bullseye/main amd64 python3-distutils all 3.9.2-1 [143 kB] Get: 149 http://deb.debian.org/debian bullseye/main amd64 dh-python all 4.20201102+nmu1 [99.4 kB] Get: 150 http://deb.debian.org/debian bullseye/main amd64 libedit2 amd64 3.1-20191231-2+b1 [96.7 kB] Get: 151 http://deb.debian.org/debian bullseye/main amd64 libz3-4 amd64 4.8.10-1 [6949 kB] Get: 152 http://deb.debian.org/debian bullseye/main amd64 libllvm11 amd64 1:11.0.1-2 [17.9 MB] Get: 153 http://deb.debian.org/debian bullseye/main amd64 libclang-cpp11 amd64 1:11.0.1-2 [9632 kB] Get: 154 http://deb.debian.org/debian bullseye/main amd64 libclang1-11 amd64 1:11.0.1-2 [5521 kB] Get: 155 http://deb.debian.org/debian bullseye/main amd64 doxygen amd64 1.9.1-1 [4232 kB] Get: 156 http://deb.debian.org/debian bullseye/main amd64 libthai-data all 0.1.28-3 [170 kB] Get: 157 http://deb.debian.org/debian bullseye/main amd64 libdatrie1 amd64 0.2.13-1 [42.7 kB] Get: 158 http://deb.debian.org/debian bullseye/main amd64 libthai0 amd64 0.1.28-3 [54.2 kB] Get: 159 http://deb.debian.org/debian bullseye/main amd64 libsombok3 amd64 2.4.0-2+b1 [31.4 kB] Get: 160 http://deb.debian.org/debian bullseye/main amd64 libmime-charset-perl all 1.012.2-1 [35.4 kB] Get: 161 http://deb.debian.org/debian bullseye/main amd64 libunicode-linebreak-perl amd64 0.0.20190101-1+b3 [102 kB] Get: 162 http://deb.debian.org/debian bullseye/main amd64 libjs-jquery all 3.5.1+dfsg+~3.5.5-7 [315 kB] Get: 163 http://deb.debian.org/debian bullseye/main amd64 libfontenc1 amd64 1:1.1.4-1 [24.3 kB] Get: 164 http://deb.debian.org/debian bullseye/main amd64 xfonts-encodings all 1:1.0.4-2.1 [573 kB] Get: 165 http://deb.debian.org/debian bullseye/main amd64 xfonts-utils amd64 1:7.7+6 [93.0 kB] Get: 166 http://deb.debian.org/debian bullseye/main amd64 lmodern all 2.004.5-6.1 [9489 kB] Get: 167 http://deb.debian.org/debian bullseye/main amd64 texlive-luatex all 2020.20210202-3 [14.4 MB] Get: 168 http://deb.debian.org/debian bullseye/main amd64 texlive-plain-generic all 2020.20210202-3 [27.0 MB] Get: 169 http://deb.debian.org/debian bullseye/main amd64 texlive-extra-utils all 2020.20210202-3 [55.5 MB] Get: 170 http://deb.debian.org/debian bullseye/main amd64 libapache-pom-java all 18-1 [4676 B] Get: 171 http://deb.debian.org/debian bullseye/main amd64 libcommons-parent-java all 43-1 [10.8 kB] Get: 172 http://deb.debian.org/debian bullseye/main amd64 libcommons-logging-java all 1.2-2 [62.2 kB] Get: 173 http://deb.debian.org/debian bullseye/main amd64 libfontbox-java all 1:1.8.16-2 [211 kB] Get: 174 http://deb.debian.org/debian bullseye/main amd64 libpdfbox-java all 1:1.8.16-2 [5205 kB] Get: 175 http://deb.debian.org/debian bullseye/main amd64 preview-latex-style all 12.2-1 [201 kB] Get: 176 http://deb.debian.org/debian bullseye/main amd64 texlive-pictures all 2020.20210202-3 [6743 kB] Get: 177 http://deb.debian.org/debian bullseye/main amd64 texlive-latex-extra all 2020.20210202-3 [13.7 MB] Get: 178 http://deb.debian.org/debian bullseye/main amd64 texlive-font-utils all 2020.20210202-3 [4672 kB] Get: 179 http://deb.debian.org/debian bullseye/main amd64 libgs9-common all 9.53.3~dfsg-7+deb11u7 [735 kB] Get: 180 http://deb.debian.org/debian bullseye/main amd64 libavahi-common-data amd64 0.8-5+deb11u2 [124 kB] Get: 181 http://deb.debian.org/debian bullseye/main amd64 libavahi-common3 amd64 0.8-5+deb11u2 [58.7 kB] Get: 182 http://deb.debian.org/debian bullseye/main amd64 libavahi-client3 amd64 0.8-5+deb11u2 [62.6 kB] Get: 183 http://deb.debian.org/debian bullseye/main amd64 libcups2 amd64 2.3.3op2-3+deb11u6 [351 kB] Get: 184 http://deb.debian.org/debian bullseye/main amd64 libidn11 amd64 1.33-3 [116 kB] Get: 185 http://deb.debian.org/debian bullseye/main amd64 libijs-0.35 amd64 0.35-15 [16.4 kB] Get: 186 http://deb.debian.org/debian bullseye/main amd64 libjbig2dec0 amd64 0.19-2 [67.2 kB] Get: 187 http://deb.debian.org/debian bullseye/main amd64 liblcms2-2 amd64 2.12~rc1-2 [150 kB] Get: 188 http://deb.debian.org/debian bullseye/main amd64 libopenjp2-7 amd64 2.4.0-3 [172 kB] Get: 189 http://deb.debian.org/debian bullseye/main amd64 libgs9 amd64 9.53.3~dfsg-7+deb11u7 [2244 kB] Get: 190 http://deb.debian.org/debian bullseye/main amd64 ghostscript amd64 9.53.3~dfsg-7+deb11u7 [98.5 kB] Get: 191 http://deb.debian.org/debian bullseye/main amd64 texlive-fonts-recommended all 2020.20210202-3 [5002 kB] Get: 192 http://deb.debian.org/debian bullseye/main amd64 doxygen-latex all 1.9.1-1 [298 kB] Get: 193 http://deb.debian.org/debian bullseye/main amd64 fontconfig amd64 2.13.1-4.2 [417 kB] Get: 194 http://deb.debian.org/debian bullseye/main amd64 fonts-lyx all 2.3.6-1 [205 kB] Get: 195 http://deb.debian.org/debian bullseye/main amd64 gdal-data all 3.2.2+dfsg-2+deb11u2 [462 kB] Get: 196 http://deb.debian.org/debian bullseye/main amd64 libproxy1v5 amd64 0.4.17-1 [59.5 kB] Get: 197 http://deb.debian.org/debian bullseye/main amd64 glib-networking-common all 2.66.0-2 [68.1 kB] Get: 198 http://deb.debian.org/debian bullseye/main amd64 glib-networking-services amd64 2.66.0-2 [17.5 kB] Get: 199 http://deb.debian.org/debian bullseye/main amd64 gsettings-desktop-schemas all 3.38.0-2 [588 kB] Get: 200 http://deb.debian.org/debian bullseye/main amd64 glib-networking amd64 2.66.0-2 [67.6 kB] Get: 201 http://deb.debian.org/debian bullseye/main amd64 libann0 amd64 1.1.2+doc-7 [25.3 kB] Get: 202 http://deb.debian.org/debian bullseye/main amd64 libcdt5 amd64 2.42.2-5 [62.2 kB] Get: 203 http://deb.debian.org/debian bullseye/main amd64 libcgraph6 amd64 2.42.2-5 [85.5 kB] Get: 204 http://deb.debian.org/debian bullseye/main amd64 libgd3 amd64 2.3.0-2 [137 kB] Get: 205 http://deb.debian.org/debian bullseye/main amd64 libgts-0.7-5 amd64 0.7.6+darcs121130-4+b1 [158 kB] Get: 206 http://deb.debian.org/debian bullseye/main amd64 libltdl7 amd64 2.4.6-15 [391 kB] Get: 207 http://deb.debian.org/debian bullseye/main amd64 libfribidi0 amd64 1.0.8-2+deb11u1 [64.9 kB] Get: 208 http://deb.debian.org/debian bullseye/main amd64 libpango-1.0-0 amd64 1.46.2-3 [191 kB] Get: 209 http://deb.debian.org/debian bullseye/main amd64 libpangoft2-1.0-0 amd64 1.46.2-3 [62.2 kB] Get: 210 http://deb.debian.org/debian bullseye/main amd64 libpangocairo-1.0-0 amd64 1.46.2-3 [50.6 kB] Get: 211 http://deb.debian.org/debian bullseye/main amd64 libpathplan4 amd64 2.42.2-5 [64.3 kB] Get: 212 http://deb.debian.org/debian bullseye/main amd64 libgvc6 amd64 2.42.2-5 [695 kB] Get: 213 http://deb.debian.org/debian bullseye/main amd64 libgvpr2 amd64 2.42.2-5 [212 kB] Get: 214 http://deb.debian.org/debian bullseye/main amd64 liblab-gamut1 amd64 2.42.2-5 [221 kB] Get: 215 http://deb.debian.org/debian bullseye/main amd64 graphviz amd64 2.42.2-5 [632 kB] Get: 216 http://deb.debian.org/debian bullseye/main amd64 hdf5-helpers amd64 1.10.6+repack-4+deb11u1 [40.4 kB] Get: 217 http://deb.debian.org/debian bullseye/main amd64 python3-backcall all 0.2.0-1 [10.7 kB] Get: 218 http://deb.debian.org/debian bullseye/main amd64 python3-decorator all 4.4.2-2 [15.8 kB] Get: 219 http://deb.debian.org/debian bullseye/main amd64 python3-parso all 0.8.1-1 [65.9 kB] Get: 220 http://deb.debian.org/debian bullseye/main amd64 python3-jedi all 0.18.0-1 [620 kB] Get: 221 http://deb.debian.org/debian bullseye/main amd64 python3-ptyprocess all 0.7.0-1 [13.6 kB] Get: 222 http://deb.debian.org/debian bullseye/main amd64 python3-pexpect all 4.8.0-2 [54.9 kB] Get: 223 http://deb.debian.org/debian bullseye/main amd64 python3-pickleshare all 0.7.5-3 [7604 B] Get: 224 http://deb.debian.org/debian bullseye/main amd64 python3-pkg-resources all 52.0.0-4 [190 kB] Get: 225 http://deb.debian.org/debian bullseye/main amd64 python3-wcwidth all 0.1.9+dfsg1-2 [18.2 kB] Get: 226 http://deb.debian.org/debian bullseye/main amd64 python3-prompt-toolkit all 3.0.14-1 [258 kB] Get: 227 http://deb.debian.org/debian bullseye/main amd64 python3-pygments all 2.7.1+dfsg-2.1 [657 kB] Get: 228 http://deb.debian.org/debian bullseye/main amd64 python3-ipython-genutils all 0.2.0-4 [21.4 kB] Get: 229 http://deb.debian.org/debian bullseye/main amd64 python3-traitlets all 5.0.5-1 [84.4 kB] Get: 230 http://deb.debian.org/debian bullseye/main amd64 python3-ipython all 7.20.0-1+deb11u1 [517 kB] Get: 231 http://deb.debian.org/debian bullseye/main amd64 ipython3 all 7.20.0-1+deb11u1 [25.0 kB] Get: 232 http://deb.debian.org/debian bullseye/main amd64 iso-codes all 4.6.0-1 [2824 kB] Get: 233 http://deb.debian.org/debian bullseye/main amd64 libaec0 amd64 1.0.4-1 [20.3 kB] Get: 234 http://deb.debian.org/debian bullseye/main amd64 libsz2 amd64 1.0.4-1 [6760 B] Get: 235 http://deb.debian.org/debian bullseye/main amd64 libaec-dev amd64 1.0.4-1 [18.7 kB] Get: 236 http://deb.debian.org/debian bullseye/main amd64 libaom0 amd64 1.0.0.errata1-3+deb11u1 [1120 kB] Get: 237 http://deb.debian.org/debian bullseye/main amd64 libblas3 amd64 3.9.0-3+deb11u1 [153 kB] Get: 238 http://deb.debian.org/debian bullseye/main amd64 libgfortran5 amd64 10.2.1-6 [727 kB] Get: 239 http://deb.debian.org/debian bullseye/main amd64 liblapack3 amd64 3.9.0-3+deb11u1 [2166 kB] Get: 240 http://deb.debian.org/debian bullseye/main amd64 libarpack2 amd64 3.8.0-1 [103 kB] Get: 241 http://deb.debian.org/debian bullseye/main amd64 libsuperlu5 amd64 5.2.2+dfsg1-2 [163 kB] Get: 242 http://deb.debian.org/debian bullseye/main amd64 libarmadillo10 amd64 1:10.1.2+dfsg-6+b1 [98.8 kB] Get: 243 http://deb.debian.org/debian bullseye/main amd64 libatk1.0-data all 2.36.0-2 [149 kB] Get: 244 http://deb.debian.org/debian bullseye/main amd64 libatk1.0-0 amd64 2.36.0-2 [52.2 kB] Get: 245 http://deb.debian.org/debian bullseye/main amd64 libatspi2.0-0 amd64 2.38.0-4+deb11u1 [72.4 kB] Get: 246 http://deb.debian.org/debian bullseye/main amd64 libatk-bridge2.0-0 amd64 2.38.0-1 [64.6 kB] Get: 247 http://deb.debian.org/debian bullseye/main amd64 libdrm-common all 2.4.104-1 [14.9 kB] Get: 248 http://deb.debian.org/debian bullseye/main amd64 libdrm2 amd64 2.4.104-1 [41.5 kB] Get: 249 http://deb.debian.org/debian bullseye/main amd64 libva2 amd64 2.10.0-1 [68.7 kB] Get: 250 http://deb.debian.org/debian bullseye/main amd64 libmfx1 amd64 21.1.0-1 [3289 kB] Get: 251 http://deb.debian.org/debian bullseye/main amd64 libva-drm2 amd64 2.10.0-1 [19.0 kB] Get: 252 http://deb.debian.org/debian bullseye/main amd64 libxfixes3 amd64 1:5.0.3-2 [22.1 kB] Get: 253 http://deb.debian.org/debian bullseye/main amd64 libva-x11-2 amd64 2.10.0-1 [24.0 kB] Get: 254 http://deb.debian.org/debian bullseye/main amd64 libvdpau1 amd64 1.4-3 [29.4 kB] Get: 255 http://deb.debian.org/debian bullseye/main amd64 ocl-icd-libopencl1 amd64 2.2.14-2 [42.5 kB] Get: 256 http://deb.debian.org/debian bullseye/main amd64 libavutil56 amd64 7:4.3.6-0+deb11u1 [312 kB] Get: 257 http://deb.debian.org/debian bullseye/main amd64 libcodec2-0.9 amd64 0.9.2-4 [7890 kB] Get: 258 http://deb.debian.org/debian bullseye/main amd64 libdav1d4 amd64 0.7.1-3+deb11u1 [331 kB] Get: 259 http://deb.debian.org/debian bullseye/main amd64 libgsm1 amd64 1.0.18-2 [27.7 kB] Get: 260 http://deb.debian.org/debian bullseye/main amd64 libmp3lame0 amd64 3.100-3 [364 kB] Get: 261 http://deb.debian.org/debian bullseye/main amd64 libopus0 amd64 1.3.1-0.1 [190 kB] Get: 262 http://deb.debian.org/debian bullseye/main amd64 libcairo-gobject2 amd64 1.16.0-5 [125 kB] Get: 263 http://deb.debian.org/debian bullseye/main amd64 librsvg2-2 amd64 2.50.3+dfsg-1+deb11u1 [2462 kB] Get: 264 http://deb.debian.org/debian bullseye/main amd64 libshine3 amd64 3.1.1-2 [23.6 kB] Get: 265 http://deb.debian.org/debian bullseye/main amd64 libsnappy1v5 amd64 1.1.8-1 [17.9 kB] Get: 266 http://deb.debian.org/debian bullseye/main amd64 libspeex1 amd64 1.2~rc1.2-1.1 [55.4 kB] Get: 267 http://deb.debian.org/debian bullseye/main amd64 libsoxr0 amd64 0.1.3-4 [77.8 kB] Get: 268 http://deb.debian.org/debian bullseye/main amd64 libswresample3 amd64 7:4.3.6-0+deb11u1 [110 kB] Get: 269 http://deb.debian.org/debian bullseye/main amd64 libogg0 amd64 1.3.4-0.1 [27.3 kB] Get: 270 http://deb.debian.org/debian bullseye/main amd64 libtheora0 amd64 1.1.1+dfsg.1-15 [169 kB] Get: 271 http://deb.debian.org/debian bullseye/main amd64 libtwolame0 amd64 0.4.0-2 [51.1 kB] Get: 272 http://deb.debian.org/debian bullseye/main amd64 libvorbis0a amd64 1.3.7-1 [93.0 kB] Get: 273 http://deb.debian.org/debian bullseye/main amd64 libvorbisenc2 amd64 1.3.7-1 [80.6 kB] Get: 274 http://deb.debian.org/debian bullseye/main amd64 libvpx6 amd64 1.9.0-1+deb11u2 [829 kB] Get: 275 http://deb.debian.org/debian bullseye/main amd64 libwavpack1 amd64 5.4.0-1 [87.8 kB] Get: 276 http://deb.debian.org/debian bullseye/main amd64 libwebpmux3 amd64 0.6.1-2.1+deb11u2 [97.7 kB] Get: 277 http://deb.debian.org/debian bullseye/main amd64 libx264-160 amd64 2:0.160.3011+gitcde9a93-2.1 [539 kB] Get: 278 http://deb.debian.org/debian bullseye/main amd64 libnuma1 amd64 2.0.12-1+b1 [26.3 kB] Get: 279 http://deb.debian.org/debian bullseye/main amd64 libx265-192 amd64 3.4-2 [1095 kB] Get: 280 http://deb.debian.org/debian bullseye/main amd64 libxvidcore4 amd64 2:1.3.7-1 [242 kB] Get: 281 http://deb.debian.org/debian bullseye/main amd64 libzvbi-common all 0.2.35-18 [64.6 kB] Get: 282 http://deb.debian.org/debian bullseye/main amd64 libzvbi0 amd64 0.2.35-18 [271 kB] Get: 283 http://deb.debian.org/debian bullseye/main amd64 libavcodec58 amd64 7:4.3.6-0+deb11u1 [4961 kB] Get: 284 http://deb.debian.org/debian bullseye/main amd64 libavutil-dev amd64 7:4.3.6-0+deb11u1 [440 kB] Get: 285 http://deb.debian.org/debian bullseye/main amd64 libswresample-dev amd64 7:4.3.6-0+deb11u1 [123 kB] Get: 286 http://deb.debian.org/debian bullseye/main amd64 libavcodec-dev amd64 7:4.3.6-0+deb11u1 [5518 kB] Get: 287 http://deb.debian.org/debian bullseye/main amd64 libudfread0 amd64 1.1.1-1 [16.4 kB] Get: 288 http://deb.debian.org/debian bullseye/main amd64 libbluray2 amd64 1:1.2.1-4+deb11u2 [139 kB] Get: 289 http://deb.debian.org/debian bullseye/main amd64 libchromaprint1 amd64 1.5.0-2 [40.8 kB] Get: 290 http://deb.debian.org/debian bullseye/main amd64 libgme0 amd64 0.6.3-2 [128 kB] Get: 291 http://deb.debian.org/debian bullseye/main amd64 libmpg123-0 amd64 1.26.4-1 [142 kB] Get: 292 http://deb.debian.org/debian bullseye/main amd64 libvorbisfile3 amd64 1.3.7-1 [26.1 kB] Get: 293 http://deb.debian.org/debian bullseye/main amd64 libopenmpt0 amd64 0.4.11-1 [616 kB] Get: 294 http://deb.debian.org/debian bullseye/main amd64 librabbitmq4 amd64 0.10.0-1 [41.0 kB] Get: 295 http://deb.debian.org/debian bullseye/main amd64 libsrt1.4-gnutls amd64 1.4.2-1.3 [271 kB] Get: 296 http://deb.debian.org/debian bullseye/main amd64 libssh-gcrypt-4 amd64 0.9.8-0+deb11u1 [221 kB] Get: 297 http://deb.debian.org/debian bullseye/main amd64 libnorm1 amd64 1.5.9+dfsg-2 [221 kB] Get: 298 http://deb.debian.org/debian bullseye/main amd64 libpgm-5.3-0 amd64 5.3.128~dfsg-2 [161 kB] Get: 299 http://deb.debian.org/debian bullseye/main amd64 libsodium23 amd64 1.0.18-1 [161 kB] Get: 300 http://deb.debian.org/debian bullseye/main amd64 libzmq5 amd64 4.3.4-1+deb11u1 [275 kB] Get: 301 http://deb.debian.org/debian bullseye/main amd64 libavformat58 amd64 7:4.3.6-0+deb11u1 [1056 kB] Get: 302 http://deb.debian.org/debian bullseye/main amd64 libavformat-dev amd64 7:4.3.6-0+deb11u1 [1258 kB] Get: 303 http://deb.debian.org/debian bullseye/main amd64 libblas-dev amd64 3.9.0-3+deb11u1 [161 kB] Get: 304 http://deb.debian.org/debian bullseye/main amd64 libboost1.74-dev amd64 1.74.0-9 [9534 kB] Get: 305 http://deb.debian.org/debian bullseye/main amd64 libboost-atomic1.74.0 amd64 1.74.0-9 [244 kB] Get: 306 http://deb.debian.org/debian bullseye/main amd64 libboost-atomic1.74-dev amd64 1.74.0-9 [245 kB] Get: 307 http://deb.debian.org/debian bullseye/main amd64 libboost-chrono1.74.0 amd64 1.74.0-9 [252 kB] Get: 308 http://deb.debian.org/debian bullseye/main amd64 libboost-chrono1.74-dev amd64 1.74.0-9 [260 kB] Get: 309 http://deb.debian.org/debian bullseye/main amd64 libboost-date-time1.74.0 amd64 1.74.0-9 [241 kB] Get: 310 http://deb.debian.org/debian bullseye/main amd64 libboost-serialization1.74.0 amd64 1.74.0-9 [340 kB] Get: 311 http://deb.debian.org/debian bullseye/main amd64 libboost-serialization1.74-dev amd64 1.74.0-9 [383 kB] Get: 312 http://deb.debian.org/debian bullseye/main amd64 libboost-date-time1.74-dev amd64 1.74.0-9 [250 kB] Get: 313 http://deb.debian.org/debian bullseye/main amd64 libboost-dev amd64 1.74.0.3 [4548 B] Get: 314 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem1.74.0 amd64 1.74.0-9 [283 kB] Get: 315 http://deb.debian.org/debian bullseye/main amd64 libboost-system1.74.0 amd64 1.74.0-9 [241 kB] Get: 316 http://deb.debian.org/debian bullseye/main amd64 libboost-system1.74-dev amd64 1.74.0-9 [243 kB] Get: 317 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem1.74-dev amd64 1.74.0-9 [304 kB] Get: 318 http://deb.debian.org/debian bullseye/main amd64 libboost-filesystem-dev amd64 1.74.0.3 [4368 B] Get: 319 http://deb.debian.org/debian bullseye/main amd64 libboost-python1.74.0 amd64 1.74.0-9 [313 kB] Get: 320 http://deb.debian.org/debian bullseye/main amd64 libpython3.9 amd64 3.9.2-1 [1691 kB] Get: 321 http://deb.debian.org/debian bullseye/main amd64 libexpat1-dev amd64 2.2.10-2+deb11u5 [141 kB] Get: 322 http://deb.debian.org/debian bullseye/main amd64 libpython3.9-dev amd64 3.9.2-1 [4028 kB] Get: 323 http://deb.debian.org/debian bullseye/main amd64 libpython3-dev amd64 3.9.2-3 [21.7 kB] Get: 324 http://deb.debian.org/debian bullseye/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-2+deb11u2 [191 kB] Get: 325 http://deb.debian.org/debian bullseye/main amd64 python3.9-dev amd64 3.9.2-1 [515 kB] Get: 326 http://deb.debian.org/debian bullseye/main amd64 libjs-underscore all 1.9.1~dfsg-3 [100 kB] Get: 327 http://deb.debian.org/debian bullseye/main amd64 libjs-sphinxdoc all 3.4.3-2 [127 kB] Get: 328 http://deb.debian.org/debian bullseye/main amd64 python3-dev amd64 3.9.2-3 [24.8 kB] Get: 329 http://deb.debian.org/debian bullseye/main amd64 libboost-python1.74-dev amd64 1.74.0-9 [336 kB] Get: 330 http://deb.debian.org/debian bullseye/main amd64 libboost-python-dev amd64 1.74.0.3 [4632 B] Get: 331 http://deb.debian.org/debian bullseye/main amd64 libboost-system-dev amd64 1.74.0.3 [4468 B] Get: 332 http://deb.debian.org/debian bullseye/main amd64 libboost-thread1.74.0 amd64 1.74.0-9 [279 kB] Get: 333 http://deb.debian.org/debian bullseye/main amd64 libboost-thread1.74-dev amd64 1.74.0-9 [290 kB] Get: 334 http://deb.debian.org/debian bullseye/main amd64 libboost-thread-dev amd64 1.74.0.3 [4356 B] Get: 335 http://deb.debian.org/debian bullseye/main amd64 libcap2-bin amd64 1:2.44-1 [32.6 kB] Get: 336 http://deb.debian.org/debian bullseye/main amd64 libcurl3-gnutls amd64 7.74.0-1.3+deb11u12 [344 kB] Get: 337 http://deb.debian.org/debian bullseye/main amd64 libcfitsio9 amd64 3.490-3 [554 kB] Get: 338 http://deb.debian.org/debian bullseye/main amd64 libcharls2 amd64 2.2.0+dfsg-2 [79.4 kB] Get: 339 http://deb.debian.org/debian bullseye/main amd64 libcolord2 amd64 1.4.5-3 [144 kB] Get: 340 http://deb.debian.org/debian bullseye/main amd64 libdap27 amd64 3.20.7-6 [566 kB] Get: 341 http://deb.debian.org/debian bullseye/main amd64 libdapclient6v5 amd64 3.20.7-6 [208 kB] Get: 342 http://deb.debian.org/debian bullseye/main amd64 libraw1394-11 amd64 2.1.2-2 [41.1 kB] Get: 343 http://deb.debian.org/debian bullseye/main amd64 libusb-1.0-0 amd64 2:1.0.24-3 [60.2 kB] Get: 344 http://deb.debian.org/debian bullseye/main amd64 libdc1394-25 amd64 2.2.6-3 [108 kB] Get: 345 http://deb.debian.org/debian bullseye/main amd64 libraw1394-dev amd64 2.1.2-2 [52.1 kB] Get: 346 http://deb.debian.org/debian bullseye/main amd64 libdc1394-dev amd64 2.2.6-3 [135 kB] Get: 347 http://deb.debian.org/debian bullseye/main amd64 libde265-0 amd64 1.0.11-0+deb11u3 [180 kB] Get: 348 http://deb.debian.org/debian bullseye/main amd64 libdeflate-dev amd64 1.7-1 [46.9 kB] Get: 349 http://deb.debian.org/debian bullseye/main amd64 libdouble-conversion3 amd64 3.1.5-6.1 [41.0 kB] Get: 350 http://deb.debian.org/debian bullseye/main amd64 libdrm-amdgpu1 amd64 2.4.104-1 [28.5 kB] Get: 351 http://deb.debian.org/debian bullseye/main amd64 libpciaccess0 amd64 0.16-1 [53.6 kB] Get: 352 http://deb.debian.org/debian bullseye/main amd64 libdrm-intel1 amd64 2.4.104-1 [71.8 kB] Get: 353 http://deb.debian.org/debian bullseye/main amd64 libdrm-nouveau2 amd64 2.4.104-1 [26.8 kB] Get: 354 http://deb.debian.org/debian bullseye/main amd64 libdrm-radeon1 amd64 2.4.104-1 [30.2 kB] Get: 355 http://deb.debian.org/debian bullseye/main amd64 libdw1 amd64 0.183-1 [234 kB] Get: 356 http://deb.debian.org/debian bullseye/main amd64 libepoxy0 amd64 1.5.5-1 [193 kB] Get: 357 http://deb.debian.org/debian bullseye/main amd64 libepsilon1 amd64 0.9.2+dfsg-5 [41.9 kB] Get: 358 http://deb.debian.org/debian bullseye/main amd64 libexif12 amd64 0.6.22-3 [376 kB] Get: 359 http://deb.debian.org/debian bullseye/main amd64 libexif-dev amd64 0.6.22-3 [101 kB] Get: 360 http://deb.debian.org/debian bullseye/main amd64 libfreexl1 amd64 1.0.6-1 [34.2 kB] Get: 361 http://deb.debian.org/debian bullseye/main amd64 libfyba0 amd64 4.1.1-7 [114 kB] Get: 362 http://deb.debian.org/debian bullseye/main amd64 libgeos-3.9.0 amd64 3.9.0-1 [921 kB] Get: 363 http://deb.debian.org/debian bullseye/main amd64 libgeos-c1v5 amd64 3.9.0-1 [377 kB] Get: 364 http://deb.debian.org/debian bullseye/main amd64 proj-data all 7.2.1-1 [7940 kB] Get: 365 http://deb.debian.org/debian bullseye/main amd64 libproj19 amd64 7.2.1-1 [1132 kB] Get: 366 http://deb.debian.org/debian bullseye/main amd64 libgeotiff5 amd64 1.6.0-1 [70.3 kB] Get: 367 http://deb.debian.org/debian bullseye/main amd64 libgif7 amd64 5.1.9-2 [45.1 kB] Get: 368 http://deb.debian.org/debian bullseye/main amd64 libhdf4-0-alt amd64 4.2.15-3 [278 kB] Get: 369 http://deb.debian.org/debian bullseye/main amd64 libhdf5-103-1 amd64 1.10.6+repack-4+deb11u1 [1189 kB] Get: 370 http://deb.debian.org/debian bullseye/main amd64 libheif1 amd64 1.11.0-1 [191 kB] Get: 371 http://deb.debian.org/debian bullseye/main amd64 libminizip1 amd64 1.1-8+deb11u1 [20.1 kB] Get: 372 http://deb.debian.org/debian bullseye/main amd64 liburiparser1 amd64 0.9.4+dfsg-1+deb11u1 [45.9 kB] Get: 373 http://deb.debian.org/debian bullseye/main amd64 libkmlbase1 amd64 1.3.0-9 [48.7 kB] Get: 374 http://deb.debian.org/debian bullseye/main amd64 libkmldom1 amd64 1.3.0-9 [156 kB] Get: 375 http://deb.debian.org/debian bullseye/main amd64 libkmlengine1 amd64 1.3.0-9 [77.7 kB] Get: 376 http://deb.debian.org/debian bullseye/main amd64 mysql-common all 5.8+1.0.7 [7464 B] Get: 377 http://deb.debian.org/debian bullseye/main amd64 mariadb-common all 1:10.5.23-0+deb11u1 [37.2 kB] Get: 378 http://deb.debian.org/debian bullseye/main amd64 libmariadb3 amd64 1:10.5.23-0+deb11u1 [176 kB] Get: 379 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-100 amd64 1.10.6+repack-4+deb11u1 [81.8 kB] Get: 380 http://deb.debian.org/debian bullseye/main amd64 libnetcdf18 amd64 1:4.7.4-1 [399 kB] Get: 381 http://deb.debian.org/debian bullseye/main amd64 libodbc1 amd64 2.3.6-0.1+b1 [224 kB] Get: 382 http://deb.debian.org/debian bullseye/main amd64 libogdi4.1 amd64 4.1.0+ds-5 [213 kB] Get: 383 http://deb.debian.org/debian bullseye/main amd64 libnspr4 amd64 2:4.29-1 [112 kB] Get: 384 http://deb.debian.org/debian bullseye/main amd64 libnss3 amd64 2:3.61-1+deb11u3 [1305 kB] Get: 385 http://deb.debian.org/debian bullseye/main amd64 libpoppler102 amd64 20.09.0-3.1+deb11u1 [1676 kB] Get: 386 http://deb.debian.org/debian bullseye/main amd64 libpq5 amd64 13.15-0+deb11u1 [182 kB] Get: 387 http://deb.debian.org/debian bullseye/main amd64 libqhull8.0 amd64 2020.2-3 [246 kB] Get: 388 http://deb.debian.org/debian bullseye/main amd64 librttopo1 amd64 1.1.0-2 [180 kB] Get: 389 http://deb.debian.org/debian bullseye/main amd64 libspatialite7 amd64 5.0.1-2 [1796 kB] Get: 390 http://deb.debian.org/debian bullseye/main amd64 libxerces-c3.2 amd64 3.2.3+debian-3+deb11u1 [870 kB] Get: 391 http://deb.debian.org/debian bullseye/main amd64 odbcinst amd64 2.3.6-0.1+b1 [48.7 kB] Get: 392 http://deb.debian.org/debian bullseye/main amd64 odbcinst1debian2 amd64 2.3.6-0.1+b1 [78.6 kB] Get: 393 http://deb.debian.org/debian bullseye/main amd64 libgdal28 amd64 3.2.2+dfsg-2+deb11u2 [7256 kB] Get: 394 http://deb.debian.org/debian bullseye/main amd64 libsocket++1 amd64 1.12.13-11 [77.9 kB] Get: 395 http://deb.debian.org/debian bullseye/main amd64 libgdcm3.0 amd64 3.0.8-2 [1860 kB] Get: 396 http://deb.debian.org/debian bullseye/main amd64 libgdcm-dev amd64 3.0.8-2 [269 kB] Get: 397 http://deb.debian.org/debian bullseye/main amd64 libgflags2.2 amd64 2.2.2-2 [83.5 kB] Get: 398 http://deb.debian.org/debian bullseye/main amd64 libgflags-dev amd64 2.2.2-2 [100 kB] Get: 399 http://deb.debian.org/debian bullseye/main amd64 libglapi-mesa amd64 20.3.5-1 [71.7 kB] Get: 400 http://deb.debian.org/debian bullseye/main amd64 libsensors-config all 1:3.6.0-7 [32.3 kB] Get: 401 http://deb.debian.org/debian bullseye/main amd64 libsensors5 amd64 1:3.6.0-7 [52.3 kB] Get: 402 http://deb.debian.org/debian bullseye/main amd64 libvulkan1 amd64 1.2.162.0-1 [103 kB] Get: 403 http://deb.debian.org/debian bullseye/main amd64 libgl1-mesa-dri amd64 20.3.5-1 [9633 kB] Get: 404 http://deb.debian.org/debian bullseye/main amd64 libglvnd0 amd64 1.3.2-1 [53.6 kB] Get: 405 http://deb.debian.org/debian bullseye/main amd64 libx11-xcb1 amd64 2:1.7.2-1+deb11u2 [204 kB] Get: 406 http://deb.debian.org/debian bullseye/main amd64 libxcb-dri2-0 amd64 1.14-3 [103 kB] Get: 407 http://deb.debian.org/debian bullseye/main amd64 libxcb-dri3-0 amd64 1.14-3 [102 kB] Get: 408 http://deb.debian.org/debian bullseye/main amd64 libxcb-glx0 amd64 1.14-3 [118 kB] Get: 409 http://deb.debian.org/debian bullseye/main amd64 libxcb-present0 amd64 1.14-3 [101 kB] Get: 410 http://deb.debian.org/debian bullseye/main amd64 libxcb-sync1 amd64 1.14-3 [105 kB] Get: 411 http://deb.debian.org/debian bullseye/main amd64 libxcb-xfixes0 amd64 1.14-3 [105 kB] Get: 412 http://deb.debian.org/debian bullseye/main amd64 libxdamage1 amd64 1:1.1.5-2 [15.7 kB] Get: 413 http://deb.debian.org/debian bullseye/main amd64 libxshmfence1 amd64 1.3-1 [8820 B] Get: 414 http://deb.debian.org/debian bullseye/main amd64 libxxf86vm1 amd64 1:1.1.4-1+b2 [20.8 kB] Get: 415 http://deb.debian.org/debian bullseye/main amd64 libglx-mesa0 amd64 20.3.5-1 [186 kB] Get: 416 http://deb.debian.org/debian bullseye/main amd64 libglx0 amd64 1.3.2-1 [35.7 kB] Get: 417 http://deb.debian.org/debian bullseye/main amd64 libgl1 amd64 1.3.2-1 [89.5 kB] Get: 418 http://deb.debian.org/debian bullseye/main amd64 libgl2ps1.4 amd64 1.4.2+dfsg1-1 [39.4 kB] Get: 419 http://deb.debian.org/debian bullseye/main amd64 libglew2.1 amd64 2.1.0-4+b1 [160 kB] Get: 420 http://deb.debian.org/debian bullseye/main amd64 libunwind8 amd64 1.3.2-2 [54.5 kB] Get: 421 http://deb.debian.org/debian bullseye/main amd64 libgoogle-glog0v5 amd64 0.4.0-4 [60.9 kB] Get: 422 http://deb.debian.org/debian bullseye/main amd64 liblzma-dev amd64 5.2.5-2.1~deb11u1 [229 kB] Get: 423 http://deb.debian.org/debian bullseye/main amd64 libunwind-dev amd64 1.3.2-2 [414 kB] Get: 424 http://deb.debian.org/debian bullseye/main amd64 libgoogle-glog-dev amd64 0.4.0-4 [88.9 kB] Get: 425 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-port12 amd64 2.5.27-1 [150 kB] Get: 426 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-6 amd64 2.5.27-1 [753 kB] Get: 427 http://deb.debian.org/debian bullseye/main amd64 pkg-config amd64 0.29.2-1 [65.1 kB] Get: 428 http://deb.debian.org/debian bullseye/main amd64 libgphoto2-dev amd64 2.5.27-1 [107 kB] Get: 429 http://deb.debian.org/debian bullseye/main amd64 libgstreamer1.0-0 amd64 1.18.4-2.1 [2230 kB] Get: 430 http://deb.debian.org/debian bullseye/main amd64 liborc-0.4-0 amd64 1:0.4.32-1 [192 kB] Get: 431 http://deb.debian.org/debian bullseye/main amd64 libgstreamer-plugins-base1.0-0 amd64 1.18.4-2+deb11u2 [2156 kB] Get: 432 http://deb.debian.org/debian bullseye/main amd64 libjson-glib-1.0-common all 1.6.2-1 [56.9 kB] Get: 433 http://deb.debian.org/debian bullseye/main amd64 libjson-glib-1.0-0 amd64 1.6.2-1 [65.4 kB] Get: 434 http://deb.debian.org/debian bullseye/main amd64 libsoup2.4-1 amd64 2.72.0-2 [280 kB] Get: 435 http://deb.debian.org/debian bullseye/main amd64 libsoup-gnome2.4-1 amd64 2.72.0-2 [22.2 kB] Get: 436 http://deb.debian.org/debian bullseye/main amd64 librest-0.7-0 amd64 0.8.1-1.1 [33.8 kB] Get: 437 http://deb.debian.org/debian bullseye/main amd64 libwayland-client0 amd64 1.18.0-2~exp1.1 [26.9 kB] Get: 438 http://deb.debian.org/debian bullseye/main amd64 libwayland-cursor0 amd64 1.18.0-2~exp1.1 [14.6 kB] Get: 439 http://deb.debian.org/debian bullseye/main amd64 libwayland-egl1 amd64 1.18.0-2~exp1.1 [8448 B] Get: 440 http://deb.debian.org/debian bullseye/main amd64 libxcomposite1 amd64 1:0.4.5-1 [16.6 kB] Get: 441 http://deb.debian.org/debian bullseye/main amd64 libxcursor1 amd64 1:1.2.0-2 [37.3 kB] Get: 442 http://deb.debian.org/debian bullseye/main amd64 libxinerama1 amd64 2:1.1.4-2 [17.7 kB] Get: 443 http://deb.debian.org/debian bullseye/main amd64 xkb-data all 2.29-2 [655 kB] Get: 444 http://deb.debian.org/debian bullseye/main amd64 libxkbcommon0 amd64 1.0.3-2 [101 kB] Get: 445 http://deb.debian.org/debian bullseye/main amd64 libxrandr2 amd64 2:1.5.1-1 [37.5 kB] Get: 446 http://deb.debian.org/debian bullseye/main amd64 libgtk-3-common all 3.24.24-4+deb11u3 [3757 kB] Get: 447 http://deb.debian.org/debian bullseye/main amd64 libgtk-3-0 amd64 3.24.24-4+deb11u3 [2716 kB] Get: 448 http://deb.debian.org/debian bullseye/main amd64 libhdf5-cpp-103-1 amd64 1.10.6+repack-4+deb11u1 [141 kB] Get: 449 http://deb.debian.org/debian bullseye/main amd64 libhdf5-fortran-102 amd64 1.10.6+repack-4+deb11u1 [105 kB] Get: 450 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-fortran-100 amd64 1.10.6+repack-4+deb11u1 [56.8 kB] Get: 451 http://deb.debian.org/debian bullseye/main amd64 libhdf5-hl-cpp-100 amd64 1.10.6+repack-4+deb11u1 [37.7 kB] Get: 452 http://deb.debian.org/debian bullseye/main amd64 libjpeg62-turbo-dev amd64 1:2.0.6-4 [278 kB] Get: 453 http://deb.debian.org/debian bullseye/main amd64 libjpeg-dev amd64 1:2.0.6-4 [67.8 kB] Get: 454 http://deb.debian.org/debian bullseye/main amd64 libhdf5-dev amd64 1.10.6+repack-4+deb11u1 [2438 kB] Get: 455 http://deb.debian.org/debian bullseye/main amd64 libilmbase25 amd64 2.5.4-1 [202 kB] Get: 456 http://deb.debian.org/debian bullseye/main amd64 libilmbase-dev amd64 2.5.4-1 [160 kB] Get: 457 http://deb.debian.org/debian bullseye/main amd64 libimagequant0 amd64 2.12.2-1.1 [32.5 kB] Get: 458 http://deb.debian.org/debian bullseye/main amd64 libjbig-dev amd64 2.1-3.1+b2 [30.5 kB] Get: 459 http://deb.debian.org/debian bullseye/main amd64 libjs-jquery-ui all 1.12.1+dfsg-8+deb11u2 [232 kB] Get: 460 http://deb.debian.org/debian bullseye/main amd64 liblbfgsb0 amd64 3.0+dfsg.3-9 [28.5 kB] Get: 461 http://deb.debian.org/debian bullseye/main amd64 liblept5 amd64 1.79.0-1.1+deb11u1 [1027 kB] Get: 462 http://deb.debian.org/debian bullseye/main amd64 libleveldb1d amd64 1.22-3 [144 kB] Get: 463 http://deb.debian.org/debian bullseye/main amd64 libleveldb-dev amd64 1.22-3 [198 kB] Get: 464 http://deb.debian.org/debian bullseye/main amd64 liblmdb0 amd64 0.9.24-1 [45.0 kB] Get: 465 http://deb.debian.org/debian bullseye/main amd64 liblmdb-dev amd64 0.9.24-1 [61.0 kB] Get: 466 http://deb.debian.org/debian bullseye/main amd64 liblzf1 amd64 3.6-3 [10.2 kB] Get: 467 http://deb.debian.org/debian bullseye/main amd64 libtbb2 amd64 2020.3-1 [161 kB] Get: 468 http://deb.debian.org/debian bullseye/main amd64 libopencv-core4.5 amd64 4.5.1+dfsg-5 [1010 kB] Get: 469 http://deb.debian.org/debian bullseye/main amd64 libopencv-flann4.5 amd64 4.5.1+dfsg-5 [127 kB] Get: 470 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgproc4.5 amd64 4.5.1+dfsg-5 [1256 kB] Get: 471 http://deb.debian.org/debian bullseye/main amd64 libopencv-features2d4.5 amd64 4.5.1+dfsg-5 [269 kB] Get: 472 http://deb.debian.org/debian bullseye/main amd64 libopencv-calib3d4.5 amd64 4.5.1+dfsg-5 [677 kB] Get: 473 http://deb.debian.org/debian bullseye/main amd64 libtbb-dev amd64 2020.3-1 [313 kB] Get: 474 http://deb.debian.org/debian bullseye/main amd64 libopencv-core-dev amd64 4.5.1+dfsg-5 [1707 kB] Get: 475 http://deb.debian.org/debian bullseye/main amd64 libopencv-flann-dev amd64 4.5.1+dfsg-5 [204 kB] Get: 476 http://deb.debian.org/debian bullseye/main amd64 libopenexr25 amd64 2.5.4-2+deb11u1 [689 kB] Get: 477 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgcodecs4.5 amd64 4.5.1+dfsg-5 [136 kB] Get: 478 http://deb.debian.org/debian bullseye/main amd64 libopencv-highgui4.5 amd64 4.5.1+dfsg-5 [51.5 kB] Get: 479 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgproc-dev amd64 4.5.1+dfsg-5 [1646 kB] Get: 480 http://deb.debian.org/debian bullseye/main amd64 libopencv-imgcodecs-dev amd64 4.5.1+dfsg-5 [195 kB] Get: 481 http://deb.debian.org/debian bullseye/main amd64 libswscale5 amd64 7:4.3.6-0+deb11u1 [211 kB] Get: 482 http://deb.debian.org/debian bullseye/main amd64 libopencv-videoio4.5 amd64 4.5.1+dfsg-5 [188 kB] Get: 483 http://deb.debian.org/debian bullseye/main amd64 libopencv-videoio-dev amd64 4.5.1+dfsg-5 [255 kB] Get: 484 http://deb.debian.org/debian bullseye/main amd64 libopenexr-dev amd64 2.5.4-2+deb11u1 [160 kB] Get: 485 http://deb.debian.org/debian bullseye/main amd64 libpng-dev amd64 1.6.37-3 [298 kB] Get: 486 http://deb.debian.org/debian bullseye/main amd64 libswscale-dev amd64 7:4.3.6-0+deb11u1 [231 kB] Get: 487 http://deb.debian.org/debian bullseye/main amd64 libtiffxx5 amd64 4.2.0-1+deb11u5 [129 kB] Get: 488 http://deb.debian.org/debian bullseye/main amd64 libtiff-dev amd64 4.2.0-1+deb11u5 [416 kB] Get: 489 http://deb.debian.org/debian bullseye/main amd64 libopencv-highgui-dev amd64 4.5.1+dfsg-5 [69.5 kB] Get: 490 http://deb.debian.org/debian bullseye/main amd64 libopencv-ml4.5 amd64 4.5.1+dfsg-5 [209 kB] Get: 491 http://deb.debian.org/debian bullseye/main amd64 libopencv-ml-dev amd64 4.5.1+dfsg-5 [285 kB] Get: 492 http://deb.debian.org/debian bullseye/main amd64 libopencv-features2d-dev amd64 4.5.1+dfsg-5 [348 kB] Get: 493 http://deb.debian.org/debian bullseye/main amd64 libopencv-calib3d-dev amd64 4.5.1+dfsg-5 [941 kB] Get: 494 http://deb.debian.org/debian bullseye/main amd64 libprotobuf23 amd64 3.12.4-1+deb11u1 [891 kB] Get: 495 http://deb.debian.org/debian bullseye/main amd64 libopencv-dnn4.5 amd64 4.5.1+dfsg-5 [902 kB] Get: 496 http://deb.debian.org/debian bullseye/main amd64 libopencv-objdetect4.5 amd64 4.5.1+dfsg-5 [172 kB] Get: 497 http://deb.debian.org/debian bullseye/main amd64 libopencv-video4.5 amd64 4.5.1+dfsg-5 [175 kB] Get: 498 http://deb.debian.org/debian bullseye/main amd64 libtesseract4 amd64 4.1.1-2.1 [1274 kB] Get: 499 http://deb.debian.org/debian bullseye/main amd64 libopencv-contrib4.5 amd64 4.5.1+dfsg-5 [3258 kB] Get: 500 http://deb.debian.org/debian bullseye/main amd64 libopencv-dnn-dev amd64 4.5.1+dfsg-5 [1306 kB] Get: 501 http://deb.debian.org/debian bullseye/main amd64 libopencv-objdetect-dev amd64 4.5.1+dfsg-5 [234 kB] Get: 502 http://deb.debian.org/debian bullseye/main amd64 libopencv-photo4.5 amd64 4.5.1+dfsg-5 [179 kB] Get: 503 http://deb.debian.org/debian bullseye/main amd64 libopencv-photo-dev amd64 4.5.1+dfsg-5 [217 kB] Get: 504 http://deb.debian.org/debian bullseye/main amd64 libopencv-shape4.5 amd64 4.5.1+dfsg-5 [65.5 kB] Get: 505 http://deb.debian.org/debian bullseye/main amd64 libopencv-video-dev amd64 4.5.1+dfsg-5 [230 kB] Get: 506 http://deb.debian.org/debian bullseye/main amd64 libopencv-shape-dev amd64 4.5.1+dfsg-5 [82.4 kB] Get: 507 http://deb.debian.org/debian bullseye/main amd64 libopencv-stitching4.5 amd64 4.5.1+dfsg-5 [201 kB] Get: 508 http://deb.debian.org/debian bullseye/main amd64 libopencv-stitching-dev amd64 4.5.1+dfsg-5 [260 kB] Get: 509 http://deb.debian.org/debian bullseye/main amd64 libopencv-superres4.5 amd64 4.5.1+dfsg-5 [61.2 kB] Get: 510 http://deb.debian.org/debian bullseye/main amd64 libopencv-superres-dev amd64 4.5.1+dfsg-5 [74.0 kB] Get: 511 http://deb.debian.org/debian bullseye/main amd64 libopencv-videostab4.5 amd64 4.5.1+dfsg-5 [91.0 kB] Get: 512 http://deb.debian.org/debian bullseye/main amd64 libopencv-videostab-dev amd64 4.5.1+dfsg-5 [119 kB] Get: 513 http://deb.debian.org/debian bullseye/main amd64 libopengl0 amd64 1.3.2-1 [31.5 kB] Get: 514 http://deb.debian.org/debian bullseye/main amd64 libtcl8.6 amd64 8.6.11+dfsg-1 [1018 kB] Get: 515 http://deb.debian.org/debian bullseye/main amd64 libxft2 amd64 2.3.2-2 [57.2 kB] Get: 516 http://deb.debian.org/debian bullseye/main amd64 libxss1 amd64 1:1.2.3-1 [17.8 kB] Get: 517 http://deb.debian.org/debian bullseye/main amd64 libtk8.6 amd64 8.6.11-2 [780 kB] Get: 518 http://deb.debian.org/debian bullseye/main amd64 libvtk9 amd64 9.0.1+dfsg1-8 [13.9 MB] Get: 519 http://deb.debian.org/debian bullseye/main amd64 libopencv-viz4.5 amd64 4.5.1+dfsg-5 [135 kB] Get: 520 http://deb.debian.org/debian bullseye/main amd64 libopencv-viz-dev amd64 4.5.1+dfsg-5 [184 kB] Get: 521 http://deb.debian.org/debian bullseye/main amd64 libopencv-contrib-dev amd64 4.5.1+dfsg-5 [4243 kB] Get: 522 http://deb.debian.org/debian bullseye/main amd64 libopencv-dev amd64 4.5.1+dfsg-5 [103 kB] Get: 523 http://deb.debian.org/debian bullseye/main amd64 libprotobuf-lite23 amd64 3.12.4-1+deb11u1 [242 kB] Get: 524 http://deb.debian.org/debian bullseye/main amd64 libprotobuf-dev amd64 3.12.4-1+deb11u1 [1234 kB] Get: 525 http://deb.debian.org/debian bullseye/main amd64 libprotoc23 amd64 3.12.4-1+deb11u1 [802 kB] Get: 526 http://deb.debian.org/debian bullseye/main amd64 libprotoc-dev amd64 3.12.4-1+deb11u1 [924 kB] Get: 527 http://deb.debian.org/debian bullseye/main amd64 libsnappy-dev amd64 1.1.8-1 [31.1 kB] Get: 528 http://deb.debian.org/debian bullseye/main amd64 libwebpdemux2 amd64 0.6.1-2.1+deb11u2 [87.8 kB] Get: 529 http://deb.debian.org/debian bullseye/main amd64 libyaml-0-2 amd64 0.2.2-1 [49.6 kB] Get: 530 http://deb.debian.org/debian bullseye/main amd64 protobuf-compiler amd64 3.12.4-1+deb11u1 [75.3 kB] Get: 531 http://deb.debian.org/debian bullseye/main amd64 python-matplotlib-data all 3.3.4-1 [4153 kB] Get: 532 http://deb.debian.org/debian bullseye/main amd64 python3-six all 1.16.0-2 [17.5 kB] Get: 533 http://deb.debian.org/debian bullseye/main amd64 python3-cycler all 0.10.0-3 [8084 B] Get: 534 http://deb.debian.org/debian bullseye/main amd64 python3-dateutil all 2.8.1-6 [79.2 kB] Get: 535 http://deb.debian.org/debian bullseye/main amd64 python3-gflags all 1.5.1-7 [36.2 kB] Get: 536 http://deb.debian.org/debian bullseye/main amd64 python3-numpy amd64 1:1.19.5-1 [2693 kB] Get: 537 http://deb.debian.org/debian bullseye/main amd64 python3-h5py-serial amd64 2.10.0-9+b2 [655 kB] Get: 538 http://deb.debian.org/debian bullseye/main amd64 python3-h5py all 2.10.0-9 [11.4 kB] Get: 539 http://deb.debian.org/debian bullseye/main amd64 python3-pil amd64 8.1.2+dfsg-0.3+deb11u2 [446 kB] Get: 540 http://deb.debian.org/debian bullseye/main amd64 python3-imageio all 2.4.1-3 [3137 kB] Get: 541 http://deb.debian.org/debian bullseye/main amd64 python3-kiwisolver amd64 1.3.1-1+b1 [55.7 kB] Get: 542 http://deb.debian.org/debian bullseye/main amd64 python3-pyparsing all 2.4.7-1 [109 kB] Get: 543 http://deb.debian.org/debian bullseye/main amd64 python3-matplotlib amd64 3.3.4-1 [4163 kB] Get: 544 http://deb.debian.org/debian bullseye/main amd64 python3-networkx all 2.5+ds-2 [900 kB] Get: 545 http://deb.debian.org/debian bullseye/main amd64 python3-nose all 1.3.7-7 [133 kB] Get: 546 http://deb.debian.org/debian bullseye/main amd64 python3-tz all 2021.1-1 [34.8 kB] Get: 547 http://deb.debian.org/debian bullseye/main amd64 python3-pandas-lib amd64 1.1.5+dfsg-2 [3287 kB] Get: 548 http://deb.debian.org/debian bullseye/main amd64 python3-pandas all 1.1.5+dfsg-2 [2096 kB] Get: 549 http://deb.debian.org/debian bullseye/main amd64 python3-protobuf amd64 3.12.4-1+deb11u1 [383 kB] Get: 550 http://deb.debian.org/debian bullseye/main amd64 python3-pydotplus all 2.0.2-3 [20.5 kB] Get: 551 http://deb.debian.org/debian bullseye/main amd64 python3-pywt amd64 1.1.1-1+b2 [975 kB] Get: 552 http://deb.debian.org/debian bullseye/main amd64 python3-scipy amd64 1.6.0-2 [12.3 MB] Get: 553 http://deb.debian.org/debian bullseye/main amd64 python3-skimage-lib amd64 0.18.1-2 [1920 kB] Get: 554 http://deb.debian.org/debian bullseye/main amd64 python3-tifffile all 20210201-1 [134 kB] Get: 555 http://deb.debian.org/debian bullseye/main amd64 python3-skimage all 0.18.1-2 [20.6 MB] Get: 556 http://deb.debian.org/debian bullseye/main amd64 python3-yaml amd64 5.3.1-5 [138 kB] Fetched 564 MB in 12s (48.8 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19711 files and directories currently installed.) Preparing to unpack .../0-libapparmor1_2.13.6-10_amd64.deb ... Unpacking libapparmor1:amd64 (2.13.6-10) ... Selecting previously unselected package libcap2:amd64. Preparing to unpack .../1-libcap2_1%3a2.44-1_amd64.deb ... Unpacking libcap2:amd64 (1:2.44-1) ... Selecting previously unselected package libargon2-1:amd64. Preparing to unpack .../2-libargon2-1_0~20171227-0.2_amd64.deb ... Unpacking libargon2-1:amd64 (0~20171227-0.2) ... Selecting previously unselected package dmsetup. Preparing to unpack .../3-dmsetup_2%3a1.02.175-2.1_amd64.deb ... Unpacking dmsetup (2:1.02.175-2.1) ... Selecting previously unselected package libdevmapper1.02.1:amd64. Preparing to unpack .../4-libdevmapper1.02.1_2%3a1.02.175-2.1_amd64.deb ... Unpacking libdevmapper1.02.1:amd64 (2:1.02.175-2.1) ... Selecting previously unselected package libjson-c5:amd64. Preparing to unpack .../5-libjson-c5_0.15-2+deb11u1_amd64.deb ... Unpacking libjson-c5:amd64 (0.15-2+deb11u1) ... Selecting previously unselected package libcryptsetup12:amd64. Preparing to unpack .../6-libcryptsetup12_2%3a2.3.7-1+deb11u1_amd64.deb ... Unpacking libcryptsetup12:amd64 (2:2.3.7-1+deb11u1) ... Selecting previously unselected package libip4tc2:amd64. Preparing to unpack .../7-libip4tc2_1.8.7-1_amd64.deb ... Unpacking libip4tc2:amd64 (1.8.7-1) ... Selecting previously unselected package libkmod2:amd64. Preparing to unpack .../8-libkmod2_28-1_amd64.deb ... Unpacking libkmod2:amd64 (28-1) ... Selecting previously unselected package systemd. Preparing to unpack .../9-systemd_247.3-7+deb11u5_amd64.deb ... Unpacking systemd (247.3-7+deb11u5) ... Setting up libapparmor1:amd64 (2.13.6-10) ... Setting up libcap2:amd64 (1:2.44-1) ... Setting up libargon2-1:amd64 (0~20171227-0.2) ... Setting up libjson-c5:amd64 (0.15-2+deb11u1) ... Setting up libip4tc2:amd64 (1.8.7-1) ... Setting up libkmod2:amd64 (28-1) ... Setting up libdevmapper1.02.1:amd64 (2:1.02.175-2.1) ... Setting up libcryptsetup12:amd64 (2:2.3.7-1+deb11u1) ... Setting up systemd (247.3-7+deb11u5) ... Created symlink /etc/systemd/system/getty.target.wants/getty@tty1.service -> /lib/systemd/system/getty@.service. Created symlink /etc/systemd/system/multi-user.target.wants/remote-fs.target -> /lib/systemd/system/remote-fs.target. 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 ... 20566 files and directories currently installed.) Preparing to unpack .../00-systemd-sysv_247.3-7+deb11u5_amd64.deb ... Unpacking systemd-sysv (247.3-7+deb11u5) ... 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Setting up libgtk-3-0:amd64 (3.24.24-4+deb11u3) ... Setting up libopencv-viz-dev:amd64 (4.5.1+dfsg-5) ... Setting up odbcinst (2.3.6-0.1+b1) ... Setting up odbcinst1debian2:amd64 (2.3.6-0.1+b1) ... Setting up libgdal28 (3.2.2+dfsg-2+deb11u2) ... Setting up libopencv-imgcodecs4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-imgcodecs-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-highgui4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videoio4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videoio-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videostab4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-contrib4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-highgui-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-features2d-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-calib3d-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-objdetect-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-superres4.5:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-superres-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-videostab-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-stitching-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-contrib-dev:amd64 (4.5.1+dfsg-5) ... Setting up libopencv-dev (4.5.1+dfsg-5) ... Processing triggers for libc-bin (2.31-13+deb11u10) ... Processing triggers for tex-common (6.16) ... Running updmap-sys. This may take some time... done. Running mktexlsr /var/lib/texmf ... done. Building format(s) --all. This may take some time... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps Reading package lists... Building dependency tree... Reading state information... fakeroot is already the newest version (1.25.3-1.1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package I: Running cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../caffe_1.0.0+git20180821.99bd997-8_source.changes dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Mo Zhou dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 fakeroot debian/rules clean dh clean -Scmake --with python3,bash-completion debian/rules override_dh_auto_clean make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_clean --builddirectory="caffe_cpu_build" rm -f -rf python/caffe/proto/ doxygen rm -f python/caffe/_caffe.so find . -type d -name '__pycache__' -exec rm -rf '{}' + make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_clean -O-Scmake debian/rules build dh build -Scmake --with python3,bash-completion dh_update_autotools_config -O-Scmake dh_autoreconf -O-Scmake debian/rules override_dh_auto_configure make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{x86_64-linux-gnu}g;' \ < debian/libcaffe-dev.install.in > debian/libcaffe-dev.install perl -p \ -e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \ -e 's{#CAFFE_SOVER#}{1.0.0}g;' \ -e 's{#DEB_HOST_MULTIARCH#}{x86_64-linux-gnu}g;' \ < debian/libcaffe1.install.in > debian/libcaffe1.install dh_auto_configure --builddirectory="caffe_cpu_build" \ -- -DALLOW_LMDB_NOLOCK=OFF -DBLAS="Generic" -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version="3" -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS="-g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_CXX_FLAGS="-g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX="/usr" -DCPU_ONLY=ON cd caffe_cpu_build && cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=None -DCMAKE_INSTALL_SYSCONFDIR=/etc -DCMAKE_INSTALL_LOCALSTATEDIR=/var -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_RUNSTATEDIR=/run -DCMAKE_SKIP_INSTALL_ALL_DEPENDENCY=ON "-GUnix Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON -DCMAKE_INSTALL_LIBDIR=lib/x86_64-linux-gnu -DALLOW_LMDB_NOLOCK=OFF -DBLAS=Generic -DBUILD_SHARED_LIBS=ON -DBUILD_docs=OFF -DBUILD_matlab=OFF -DBUILD_python=ON -DBUILD_python_layer=ON -Dpython_version=3 -DCMAKE_BUILD_TYPE=Release "-DCMAKE_C_FLAGS=-g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" "-DCMAKE_CXX_FLAGS=-g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX=/usr -DCPU_ONLY=ON .. -- The C compiler identification is GNU 10.2.1 -- The CXX compiler identification is GNU 10.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done CMake Warning (dev) at cmake/Misc.cmake:32 (set): implicitly converting 'BOOLEAN' to 'STRING' type. Call Stack (most recent call first): CMakeLists.txt:25 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.54") found components: system thread filesystem -- Found Threads: TRUE -- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so) -- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so) -- Found Protobuf: /usr/lib/x86_64-linux-gnu/libprotobuf.so;-lpthread (found version "3.12.4") -- Found PROTOBUF Compiler: /usr/bin/protoc -- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so;/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.so;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.10.6") found components: HL -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so) -- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so) -- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so) -- -- CUDA is disabled. Building without it... -- OpenCV found (/usr/lib/x86_64-linux-gnu/cmake/opencv4) -- Looking for sgemm_ -- Looking for sgemm_ - found -- Found BLAS: /usr/lib/x86_64-linux-gnu/libblas.so -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.9.2", minimum required is "3.0") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.9.so (found suitable version "3.9.2", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.19.5", minimum required is "1.7.1") -- NumPy ver. 1.19.5 found (include: /usr/lib/python3/dist-packages/numpy/core/include) -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.74.0/BoostConfig.cmake (found suitable version "1.74.0", minimum required is "1.46") found components: python3 -- Could NOT find Git (missing: GIT_EXECUTABLE) -- -- ******************* Caffe Configuration Summary ******************* -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : OFF -- CPU_ONLY : ON -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Generic) -- Boost : Yes (ver. 1.74) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. ..) -- lmdb : Yes (ver. 0.9.24) -- LevelDB : Yes (ver. 1.22) -- Snappy : Yes (ver. 1.1.8) -- OpenCV : Yes (ver. 4.5.1) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.9.2) -- Libraries : /usr/lib/x86_64-linux-gnu/libpython3.9.so (ver 3.9.2) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.19.5) -- -- Install: -- Install path : /usr -- -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: USE_CUDNN -- Build files have been written to: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-arch make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all cd caffe_cpu_build && make -j42 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 caffe make[3]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 52 make -f CMakeFiles/Makefile2 src/caffe/CMakeFiles/caffe.dir/all make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 0%] Running C++/Python protocol buffer compiler on /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E make_directory /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake" is 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Scanning dependencies of target caffeproto make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DUSE_HDF5 -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/caffe.pb.cc [ 1%] Linking CXX static library ../../lib/libcaffeproto.a cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -P CMakeFiles/caffeproto.dir/cmake_clean_target.cmake cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffeproto.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libcaffeproto.a CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o /usr/bin/ranlib ../../lib/libcaffeproto.a make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Scanning dependencies of target caffe make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o [ 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 [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer_factory.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 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CMakeFiles/caffe.dir/layers/loss_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/loss_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/reproducible-path/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. 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-fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_loss_layer.cpp [ 71%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/split_layer.cpp.o /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] 298 | } catch (bp::error_already_set) { | ^~~~~~~~~~~~~~~~~ cd 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-I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/threshold_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/threshold_layer.cpp [ 75%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/tile_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB 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In file included from /usr/include/boost/bind.hpp:30, from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/signal_handler.cpp:1: /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( | ^~~~~~~~~~~~~~~~~~~~ /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function 'bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)': /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:60:66: warning: 'void google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int, int)' is deprecated: Please use the single parameter version of SetTotalBytesLimit(). The second parameter is ignored. [-Wdeprecated-declarations] 60 | coded_input->SetTotalBytesLimit(kProtoReadBytesLimit, 536870912); | ^ In file included from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:2: /usr/include/google/protobuf/io/coded_stream.h:397:8: note: declared here 397 | void SetTotalBytesLimit(int total_bytes_limit, int) { | ^~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../../lib/libcaffe.so cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,libcaffe.so.1.0.0 -o ../../lib/libcaffe.so.1.0.0 CMakeFiles/caffe.dir/blob.cpp.o 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/usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_symlink_library ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pycaffe make[3]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 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Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../lib/_caffe.so cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/pycaffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,_caffe.so -o ../lib/_caffe.so CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o ../lib/libcaffe.so.1.0.0 -lpython3.9 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 Creating symlink /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E make_directory /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/proto cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && touch /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/__init__.py cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && cp /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/*.py /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/ make[5]: 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make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 59%] Built target caffe Scanning dependencies of target gtest make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp In file included from /usr/include/string.h:495, from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39: In function 'char* strncpy(char*, const char*, size_t)', inlined from 'const char* testing::internal::posix::StrNCpy(char*, const char*, size_t)' at /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:2672:17, inlined from 'char* testing::internal::CloneString(const char*, size_t)' at /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2143:19, inlined from 'static const char* testing::internal::String::CloneCString(const char*)' at /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: /usr/include/x86_64-linux-gnu/bits/string_fortified.h:106:34: warning: 'char* __builtin_strncpy(char*, const char*, long unsigned int)' output truncated before terminating nul copying as many bytes from a string as its length [-Wstringop-truncation] 106 | return __builtin___strncpy_chk (__dest, __src, __len, __bos (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp: In static member function 'static const char* testing::internal::String::CloneCString(const char*)': /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: note: length computed here 2154 | NULL : CloneString(c_str, strlen(c_str)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 60%] Linking CXX static library ../../lib/libgtest.a cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -E cmake_link_script CMakeFiles/gtest.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libgtest.a CMakeFiles/gtest.dir/gtest-all.cpp.o /usr/bin/ranlib ../../lib/libgtest.a make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target gtest make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Scanning dependencies of target test.testbin make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] 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_batch_reindex_layer.cpp.o [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o [ 64%] 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_concat_layer.cpp.o [ 65%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_common.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_contrastive_loss_layer.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_convolution_layer.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_db.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp [ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o [ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_dummy_data_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp [ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_crop_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_eltwise_layer.cpp.o [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_embed_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK 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/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 81%] Built target caffe make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/depend make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/depend make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/depend make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake --color= cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake --color= cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". 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Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/depend.internal". Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/depend.internal". 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-Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o -o mnist/convert_mnist_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Linking CXX executable cifar10/convert_cifar_data cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_cifar_data.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o -o cifar10/convert_cifar_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data.bin make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target convert_mnist_siamese_data cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data.bin [ 93%] Linking CXX executable compute_image_mean make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/compute_image_mean.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o -o compute_image_mean ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Built target convert_mnist_data cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data.bin make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target convert_cifar_data make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target compute_image_mean [ 93%] Linking CXX executable convert_imageset cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_imageset.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -o convert_imageset ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target convert_imageset [ 95%] Linking CXX executable upgrade_net_proto_text cd /build/reproducible-path/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 [ 96%] Linking CXX executable upgrade_net_proto_binary cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. 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/usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 98%] Linking CXX executable upgrade_solver_proto_text cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -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/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread 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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, 1505449 bytes). Transcript written on refman.log. make[2]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/doxygen/latex' find docs -name '.gitignore' -delete # lintian vcs-control-file find docs -name '*.html' -exec sed -i -e "s@http://cdn.mathjax.org/mathjax/latest/MathJax.js@file:///usr/share/javascript/mathjax/MathJax.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/js/bootstrap.min.js@file:///usr/share/javascript/bootstrap/js/bootstrap.min.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css@file:///usr/share/javascript/bootstrap/css/bootstrap.min.css@g" '{}' \; # lintian privacy-breach-uses-embedded-file find examples -name '*.html' -exec sed -i -e "s@//code.jquery.com/jquery-2.1.1.js@file:///usr/share/javascript/jquery/jquery.js@g" '{}' \; # lintian privacy-breach-uses-embedded-file make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_test-arch make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ cd caffe_cpu_build && make -j42 test runtest pytest LD_LIBRARY_PATH=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j42 make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Nothing to be done for 'test'. /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 runtest make[3]: Entering directory 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src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 && /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* Note: Randomizing tests' orders with a seed of 93748 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (397 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (627 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (123 ms) [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (1147 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (513 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (400 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (293 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [----------] 8 tests from LRNLayerTest/0 (1208 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (300 ms) [----------] 5 tests from BenchmarkTest/0 (601 ms total) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (111 ms) [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/0 (111 ms total) [----------] 2 tests from CommonTest [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (1 ms) [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [----------] 2 tests from CommonTest (1 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (15 ms) [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (4 ms) [----------] 2 tests from HDF5DataLayerTest/1 (19 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (67 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (85 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (66 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (133 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (57 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (2 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (61 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (57 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [----------] 20 tests from BiasLayerTest/1 (530 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (11 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (10 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (11 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (47 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (13 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (46 ms) [----------] 8 tests from AdamSolverTest/0 (142 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ 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) [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [----------] 4 tests from BlobSimpleTest/0 (1 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (1 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (99 ms) [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) [----------] 3 tests from BatchNormLayerTest/0 (99 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (1 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [----------] 12 tests from DataTransformTest/0 (1 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float [ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup [ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (2 ms) [----------] 3 tests from TanHLayerTest/1 (2 ms total) [----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/1.TestGradient [ OK ] InfogainLossLayerTest/1.TestGradient (1 ms) [ RUN ] InfogainLossLayerTest/1.TestInfogainLoss [ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/1 (1 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (1 ms) [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (3 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (95 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (431 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (50 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (51 ms) [----------] 6 tests from RNNLayerTest/1 (631 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (3 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [----------] 9 tests from AccuracyLayerTest/0 (5 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestOneTopConstant [ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (48 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (11 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (50 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (10 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (10 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (13 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (48 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (19 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (48 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (19 ms) [----------] 12 tests from SGDSolverTest/1 (280 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (20 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (19 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (5 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (0 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) [----------] 12 tests from ArgMaxLayerTest/1 (50 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (3 ms) [ RUN ] SplitLayerTest/1.Test [ OK ] SplitLayerTest/1.Test (0 ms) [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [----------] 3 tests from SplitLayerTest/1 (4 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (0 ms) [----------] 1 test from SolverTypeUpgradeTest (0 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (49 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (249 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (12 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (6 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (372 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (14 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (411 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [----------] 15 tests from ConvolutionLayerTest/1 (1115 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (98 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (40 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (27 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (15 ms) [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (27 ms) [----------] 5 tests from DBTest/0 (207 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (2 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (3 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (3 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (2 ms) [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (2 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (2 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (2 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (16 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (5 ms) [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (6 ms) [----------] 2 tests from BilinearFillerTest/1 (11 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) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (1 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (133 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (60 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (1 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (85 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (66 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (60 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (58 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (2 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (68 ms) [----------] 20 tests from BiasLayerTest/0 (533 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/1.TestGradient [ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) [ RUN ] EuclideanLossLayerTest/1.TestForward [ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) [----------] 2 tests from EuclideanLossLayerTest/1 (1 ms total) [----------] 4 tests from GaussianFillerTest/1, where TypeParam = double [ 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 (0 ms) [ RUN ] GaussianFillerTest/1.TestFill [ OK ] GaussianFillerTest/1.TestFill (0 ms) [----------] 4 tests from GaussianFillerTest/1 (1 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (3 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (2 ms) [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (3 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (3 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (3 ms) [----------] 10 tests from EltwiseLayerTest/0 (14 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (49 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (10 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (10 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (51 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (14 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (12 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (10 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [----------] 9 tests from AdaGradSolverTest/1 (160 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (6 ms) [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (5 ms) [----------] 2 tests from BilinearFillerTest/0 (11 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [ 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) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (1 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (36 ms) [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (1 ms) [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (1 ms) [----------] 4 tests from NetUpgradeTest (39 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (3 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (15 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (4 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (21 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (4 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (3 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (3 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (6 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (15 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (21 ms) [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (3 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (14 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (66 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (18 ms) [----------] 14 tests from DataLayerTest/1 (199 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (2 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (3 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (4 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (56 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (76 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (66 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (1 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (62 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (124 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (213 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (1 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (78 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (56 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [----------] 22 tests from ScaleLayerTest/1 (737 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (1 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) [----------] 2 tests from HingeLossLayerTest/0 (1 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestMeanFile [ OK ] DataTransformTest/1.TestMeanFile (1 ms) [ RUN ] DataTransformTest/1.TestCropSize [ OK ] DataTransformTest/1.TestCropSize (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (0 ms) [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [----------] 12 tests from DataTransformTest/1 (1 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (21 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (22 ms) [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (22 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [----------] 6 tests from XavierFillerTest/0 (65 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (150 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (555 ms) [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (423 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (378 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [----------] 11 tests from PoolingLayerTest/1 (1506 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (81 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (109 ms) [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (103 ms) [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (29 ms) [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (29 ms) [----------] 5 tests from ImageDataLayerTest/1 (351 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (23 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (23 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (0 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (5 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (0 ms) [----------] 12 tests from ArgMaxLayerTest/0 (57 ms total) [----------] 3 tests from SyncedMemoryTest [ RUN ] SyncedMemoryTest.TestCPUWrite [ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) [ RUN ] SyncedMemoryTest.TestInitialization [ OK ] SyncedMemoryTest.TestInitialization (0 ms) [ RUN ] SyncedMemoryTest.TestAllocationCPU [ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) [----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (756 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (643 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (287 ms) [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (787 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (1287 ms) [----------] 5 tests from DBTest/1 (3760 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (1 ms) [----------] 1 test from SolverTest/0 (2 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (0 ms) [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from UniformFillerTest/0 (0 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (2 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (326 ms) [----------] 1 test from LayerFactoryTest/0 (326 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (1169 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (1 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [----------] 5 tests from SPPLayerTest/0 (1170 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (8 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (4 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (2 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (5 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (2 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (2 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (9 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (2 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (4 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (8 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (3 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (3 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (5 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (3 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (4 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (7 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (2 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (7 ms) [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (9 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (2 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (3 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (6 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (9 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (8 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (4 ms) [----------] 26 tests from IOTest (121 ms total) [----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/1.TestForward [ OK ] SoftmaxLayerTest/1.TestForward (0 ms) [ RUN ] SoftmaxLayerTest/1.TestGradient [ OK ] SoftmaxLayerTest/1.TestGradient (110 ms) [----------] 2 tests from SoftmaxLayerTest/1 (110 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (14 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (52 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (16 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (10 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (10 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (49 ms) [----------] 8 tests from AdamSolverTest/1 (155 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (2 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (1 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (1 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (2 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (1 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (2 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (1 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (1 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (86 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (1 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2 [ OK ] NeuronLayerTest/0.TestLogGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/0.TestExpLayer [ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (1 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (87 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [----------] 58 tests from NeuronLayerTest/0 (210 ms total) [----------] 1 test from ProtoTest [ RUN ] ProtoTest.TestSerialization Printing in binary format. testTest Printing in text format. name: "test" type: "Test" [ OK ] ProtoTest.TestSerialization (0 ms) [----------] 1 test from ProtoTest (0 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (24 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (1 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (7 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (27 ms) [----------] 8 tests from SliceLayerTest/1 (59 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (38 ms) [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (39 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (38 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [----------] 6 tests from MSRAFillerTest/0 (115 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (47 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (49 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (46 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (13 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (18 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (9 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [----------] 8 tests from RMSPropSolverTest/1 (189 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestSetup [ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/0.TestBackward [ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/0 (1 ms total) [----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/1.TestGradientL2 [ OK ] HingeLossLayerTest/1.TestGradientL2 (0 ms) [ RUN ] HingeLossLayerTest/1.TestGradientL1 [ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) [----------] 2 tests from HingeLossLayerTest/1 (0 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (17 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (10 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (9 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (45 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (17 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (68 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (70 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (14 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (72 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (24 ms) [----------] 12 tests from SGDSolverTest/0 (352 ms total) [----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/1.Test [ OK ] ThresholdLayerTest/1.Test (0 ms) [ RUN ] ThresholdLayerTest/1.Test2 [ OK ] ThresholdLayerTest/1.Test2 (0 ms) [ RUN ] ThresholdLayerTest/1.TestSetup [ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (1 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/0 (1 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/0.TestPowerGradient [ OK ] PowerLayerTest/0.TestPowerGradient (2 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (1 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (0 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (1 ms) [----------] 10 tests from PowerLayerTest/0 (16 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (206 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (1 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (215 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (423 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/1.TestForward [ OK ] EmbedLayerTest/1.TestForward (0 ms) [ RUN ] EmbedLayerTest/1.TestGradient [ OK ] EmbedLayerTest/1.TestGradient (11 ms) [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/1.TestForwardWithBias [ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/1.TestGradientWithBias [ OK ] EmbedLayerTest/1.TestGradientWithBias (14 ms) [----------] 5 tests from EmbedLayerTest/1 (26 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (172 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (1 ms) [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (51 ms) [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (173 ms) [----------] 7 tests from TileLayerTest/1 (397 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (1 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (1 ms total) [----------] 4 tests from ConstantFillerTest/0, where TypeParam = float [ RUN ] ConstantFillerTest/0.TestFill [ OK ] ConstantFillerTest/0.TestFill (0 ms) [ 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) [----------] 4 tests from ConstantFillerTest/0 (0 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (1 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (3 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (1 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (4 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) [----------] 10 tests from ConcatLayerTest/1 (10 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (229 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (20 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (18 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (7 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (4 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (3 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (27 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (4 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (5 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (27 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (4 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (69 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (3 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (25 ms) [----------] 14 tests from DataLayerTest/0 (445 ms total) [----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/1.TestForward [ OK ] BatchReindexLayerTest/1.TestForward (0 ms) [ RUN ] BatchReindexLayerTest/1.TestGradient [ OK ] BatchReindexLayerTest/1.TestGradient (82 ms) [----------] 2 tests from BatchReindexLayerTest/1 (82 ms total) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (1 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (1 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) [----------] 20 tests from FilterNetTest (3 ms total) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (1 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (3 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (1 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (2 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (2 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (2 ms) [----------] 10 tests from PowerLayerTest/1 (11 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (9 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (44 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (44 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (48 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (19 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (17 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [----------] 8 tests from RMSPropSolverTest/0 (186 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (1 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (81 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (126 ms) [----------] 9 tests from InnerProductLayerTest/1 (209 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (3 ms) [----------] 1 test from HDF5OutputLayerTest/0 (3 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/0 (1 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (30 ms) [----------] 1 test from LayerFactoryTest/1 (30 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (227 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (210 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (67 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [----------] 7 tests from TileLayerTest/0 (506 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from GaussianFillerTest/0 (1 ms total) [----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/1.TestCreateSolver [ OK ] SolverFactoryTest/1.TestCreateSolver (4 ms) [----------] 1 test from SolverFactoryTest/1 (4 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (1 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (2 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (116 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (1 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (1 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (1 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (1 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (2 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (118 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (3 ms) [----------] 58 tests from NeuronLayerTest/1 (306 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (213 ms) [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (189 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (1 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (74 ms) [----------] 6 tests from MVNLayerTest/1 (477 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (76 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (226 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (3 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (62 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (75 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (68 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (74 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (55 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (124 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (1 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) [----------] 22 tests from ScaleLayerTest/0 (766 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (25 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (26 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (3 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (135 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1533 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (247 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (134 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (1 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [----------] 9 tests from LSTMLayerTest/0 (2104 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (300 ms) [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (301 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [----------] 5 tests from BenchmarkTest/1 (601 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (22 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (22 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (22 ms) [----------] 6 tests from XavierFillerTest/1 (66 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (1 ms) [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (1234 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [----------] 5 tests from SPPLayerTest/1 (1235 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (575 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (1021 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (164 ms) [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (343 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (0 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (194 ms) [----------] 8 tests from Im2colLayerTest/1 (2297 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/1, where TypeParam = double [ RUN ] CPUStochasticPoolingLayerTest/1.TestSetup [ OK ] CPUStochasticPoolingLayerTest/1.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/1 (0 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (124 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (404 ms) [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (584 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (1113 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (0 ms) [----------] 27 tests from ReductionLayerTest/1 (8 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (2 ms) [----------] 1 test from HDF5OutputLayerTest/1 (2 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (0 ms) [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (1 ms) [----------] 2 tests from InternalThreadTest (1 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (146 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (139 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (1 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (286 ms total) [----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/0.TestForwardMaxPadded [ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMax [ OK ] PoolingLayerTest/0.TestGradientMax (405 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (522 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (350 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (142 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [----------] 11 tests from PoolingLayerTest/0 (1419 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (2 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [----------] 9 tests from AccuracyLayerTest/1 (4 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (8 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (41 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (43 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (10 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (8 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (13 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (8 ms) [----------] 9 tests from AdaGradSolverTest/0 (136 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (1 ms) [----------] 1 test from SolverTest/1 (1 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (0 ms) [----------] 27 tests from ReductionLayerTest/0 (8 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (133 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (26 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (133 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (26 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (250 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (3 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1558 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (1 ms) [----------] 9 tests from LSTMLayerTest/1 (2130 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (7 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (24 ms) [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (28 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) [----------] 8 tests from SliceLayerTest/0 (59 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (1 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (2 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (1 ms) [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (2 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (1 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (1 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (1 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (1 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (2 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (2 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (0 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (0 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (0 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (0 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (0 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (1 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (0 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (0 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (0 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (1 ms) [----------] 26 tests from NetTest/0 (22 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (1 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (3 ms) [ RUN ] ConcatLayerTest/0.TestSetupNum [ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannels [ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestGradientNum [ OK ] ConcatLayerTest/0.TestGradientNum (3 ms) [ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (2 ms) [ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardChannels [ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [----------] 10 tests from ConcatLayerTest/0 (9 ms total) [----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/0.TestSetup [ OK ] SplitLayerTest/0.TestSetup (0 ms) [ RUN ] SplitLayerTest/0.TestGradient [ OK ] SplitLayerTest/0.TestGradient (4 ms) [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [----------] 3 tests from SplitLayerTest/0 (4 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (0 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (70 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (127 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (125 ms) [----------] 6 tests from MVNLayerTest/0 (322 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (1 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (600 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (407 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (479 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [----------] 8 tests from LRNLayerTest/1 (1488 ms total) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (13 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (10 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (17 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (8 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (42 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (17 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (41 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (8 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (44 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (205 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (0 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (2 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (2 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (1 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (0 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (0 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (1 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (0 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (0 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (2 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (1 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (0 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (1 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (1 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (1 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (3 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (0 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (0 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (0 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (1 ms) [----------] 26 tests from NetTest/1 (22 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (2 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [----------] 6 tests from FlattenLayerTest/0 (2 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (18 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (1 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (0 ms) [----------] 5 tests from MemoryDataLayerTest/0 (20 ms total) [----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EuclideanLossLayerTest/0.TestForward [ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) [ RUN ] EuclideanLossLayerTest/0.TestGradient [ OK ] EuclideanLossLayerTest/0.TestGradient (1 ms) [----------] 2 tests from EuclideanLossLayerTest/0 (1 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (2 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (1 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (2 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (3 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (45 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (46 ms) [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (46 ms) [----------] 6 tests from MSRAFillerTest/1 (137 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (235 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (144 ms) [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestCrop5D [ OK ] CropLayerTest/0.TestCrop5D (0 ms) [ RUN ] CropLayerTest/0.TestCropAll [ OK ] CropLayerTest/0.TestCropAll (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (873 ms) [----------] 11 tests from CropLayerTest/0 (1252 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (49 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (93 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (3 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (47 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (424 ms) [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (1 ms) [----------] 6 tests from RNNLayerTest/0 (618 ms total) [----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/0.TestInfogainLoss [ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) [ RUN ] InfogainLossLayerTest/0.TestGradient [ OK ] InfogainLossLayerTest/0.TestGradient (1 ms) [----------] 2 tests from InfogainLossLayerTest/0 (1 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (2 ms) [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (2 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (196 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (350 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (161 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (1034 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (585 ms) [----------] 8 tests from Im2colLayerTest/0 (2327 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (94 ms) [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (93 ms) [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (76 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (26 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (27 ms) [----------] 5 tests from ImageDataLayerTest/0 (316 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (103 ms) [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [----------] 3 tests from BatchNormLayerTest/1 (103 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (3 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (2 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (3 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (2 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (3 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (0 ms) [----------] 10 tests from EltwiseLayerTest/1 (14 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (5 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (4 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (0 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (4 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (13 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (1 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (1 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) [ RUN ] FilterLayerTest/0.TestGradient [ OK ] FilterLayerTest/0.TestGradient (176 ms) [----------] 3 tests from FilterLayerTest/0 (176 ms total) [----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float [ RUN ] PositiveUnitballFillerTest/0.TestFill [ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill2D [ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill1D [ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/0.TestFill5D [ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (0 ms total) [----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/0.TestCreateSolver [ OK ] SolverFactoryTest/0.TestCreateSolver (1 ms) [----------] 1 test from SolverFactoryTest/0 (1 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (44 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (12 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (45 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (45 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (8 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (46 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (10 ms) [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (13 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (9 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (18 ms) [----------] 12 tests from NesterovSolverTest/1 (256 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (103 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (82 ms) [----------] 9 tests from InnerProductLayerTest/0 (185 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (180 ms) [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [----------] 3 tests from FilterLayerTest/1 (180 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (4 ms) [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (10 ms) [----------] 2 tests from HDF5DataLayerTest/0 (14 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (9 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (18 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (47 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (14 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (404 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (18 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (515 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (9 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (212 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (1250 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (1 ms) [----------] 3 tests from PaddingLayerUpgradeTest (2 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (17 ms) [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (0 ms) [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (1 ms) [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) [----------] 5 tests from MemoryDataLayerTest/1 (20 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (48 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (406 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (234 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (12 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (13 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (372 ms) [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (6 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) [----------] 15 tests from ConvolutionLayerTest/0 (1094 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (5 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (6 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (5 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (16 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (227 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (9 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (12 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (8 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (41 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (10 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (8 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (16 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (44 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (41 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [----------] 12 tests from NesterovSolverTest/0 (420 ms total) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (838 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (232 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (142 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (1 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [----------] 11 tests from CropLayerTest/1 (1213 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (1 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (0 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (0 ms) [----------] 8 tests from SplitLayerInsertionTest (3 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (1 ms) [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (0 ms) [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (1 ms) [----------] 3 tests from TanHLayerTest/0 (2 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (94 ms) [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/0 (94 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (2 ms) [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (2 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (1 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (2 ms) [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (1 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (2 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (13 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (10 ms) [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (8 ms) [----------] 5 tests from EmbedLayerTest/0 (18 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (43657 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pytest make[3]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 CMakeFiles/pytest.dir/all make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/pytest.dir/DependInfo.cmake --color= Scanning dependencies of target pytest make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test .../build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead. self.assertEquals(ax, 1) ................WARNING: Logging before InitGoogleLogging() is written to STDERR I0909 12:04:26.633770 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0909 12:04:26.633814 3877644 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I0909 12:04:26.633824 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0909 12:04:26.633829 3877644 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I0909 12:04:26.633836 3877644 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" } } I0909 12:04:26.633991 3877644 layer_factory.hpp:77] Creating layer deploy_data I0909 12:04:26.634019 3877644 net.cpp:86] Creating Layer deploy_data I0909 12:04:26.634029 3877644 net.cpp:382] deploy_data -> data I0909 12:04:26.634065 3877644 net.cpp:124] Setting up deploy_data I0909 12:04:26.634104 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.634138 3877644 net.cpp:139] Memory required for data: 400 I0909 12:04:26.634176 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.634205 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.634230 3877644 net.cpp:408] ip <- data I0909 12:04:26.634258 3877644 net.cpp:382] ip -> ip I0909 12:04:26.634315 3877644 net.cpp:124] Setting up ip I0909 12:04:26.634348 3877644 net.cpp:131] Top shape: 1 2 (2) I0909 12:04:26.634382 3877644 net.cpp:139] Memory required for data: 408 I0909 12:04:26.634438 3877644 layer_factory.hpp:77] Creating layer pred I0909 12:04:26.634474 3877644 net.cpp:86] Creating Layer pred I0909 12:04:26.634509 3877644 net.cpp:408] pred <- ip I0909 12:04:26.634537 3877644 net.cpp:382] pred -> pred I0909 12:04:26.634606 3877644 net.cpp:124] Setting up pred I0909 12:04:26.634615 3877644 net.cpp:131] Top shape: 1 2 (2) I0909 12:04:26.634622 3877644 net.cpp:139] Memory required for data: 416 I0909 12:04:26.634627 3877644 net.cpp:202] pred does not need backward computation. I0909 12:04:26.634634 3877644 net.cpp:202] ip does not need backward computation. I0909 12:04:26.634639 3877644 net.cpp:202] deploy_data does not need backward computation. I0909 12:04:26.634642 3877644 net.cpp:244] This network produces output pred I0909 12:04:26.634650 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.635578 3877644 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I0909 12:04:26.635594 3877644 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I0909 12:04:26.635603 3877644 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I0909 12:04:26.635608 3877644 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" } } I0909 12:04:26.635711 3877644 layer_factory.hpp:77] Creating layer train_data I0909 12:04:26.635762 3877644 net.cpp:86] Creating Layer train_data I0909 12:04:26.635807 3877644 net.cpp:382] train_data -> data I0909 12:04:26.635856 3877644 net.cpp:382] train_data -> label I0909 12:04:26.635881 3877644 net.cpp:124] Setting up train_data I0909 12:04:26.635888 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.635895 3877644 net.cpp:131] Top shape: 1 1 1 1 (1) I0909 12:04:26.635900 3877644 net.cpp:139] Memory required for data: 404 I0909 12:04:26.635905 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.635911 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.635916 3877644 net.cpp:408] ip <- data I0909 12:04:26.635926 3877644 net.cpp:382] ip -> ip I0909 12:04:26.635965 3877644 net.cpp:124] Setting up ip I0909 12:04:26.635995 3877644 net.cpp:131] Top shape: 1 2 (2) I0909 12:04:26.636027 3877644 net.cpp:139] Memory required for data: 412 I0909 12:04:26.636062 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.636099 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.636130 3877644 net.cpp:408] loss <- ip I0909 12:04:26.636169 3877644 net.cpp:408] loss <- label I0909 12:04:26.636210 3877644 net.cpp:382] loss -> loss I0909 12:04:26.636243 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.636288 3877644 net.cpp:124] Setting up loss I0909 12:04:26.636317 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.636346 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.636399 3877644 net.cpp:139] Memory required for data: 416 I0909 12:04:26.636404 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.636411 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.636416 3877644 net.cpp:202] train_data does not need backward computation. I0909 12:04:26.636420 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.636425 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.636952 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I0909 12:04:26.636972 3877644 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I0909 12:04:26.636981 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I0909 12:04:26.636986 3877644 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I0909 12:04:26.636991 3877644 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" } } I0909 12:04:26.637092 3877644 layer_factory.hpp:77] Creating layer val_data I0909 12:04:26.637141 3877644 net.cpp:86] Creating Layer val_data I0909 12:04:26.637187 3877644 net.cpp:382] val_data -> data I0909 12:04:26.637207 3877644 net.cpp:382] val_data -> label I0909 12:04:26.637219 3877644 net.cpp:124] Setting up val_data I0909 12:04:26.637223 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.637228 3877644 net.cpp:131] Top shape: 1 1 1 1 (1) I0909 12:04:26.637230 3877644 net.cpp:139] Memory required for data: 404 I0909 12:04:26.637233 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.637238 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.637240 3877644 net.cpp:408] ip <- data I0909 12:04:26.637244 3877644 net.cpp:382] ip -> ip I0909 12:04:26.637254 3877644 net.cpp:124] Setting up ip I0909 12:04:26.637257 3877644 net.cpp:131] Top shape: 1 2 (2) I0909 12:04:26.637260 3877644 net.cpp:139] Memory required for data: 412 I0909 12:04:26.637266 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.637271 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.637274 3877644 net.cpp:408] loss <- ip I0909 12:04:26.637277 3877644 net.cpp:408] loss <- label I0909 12:04:26.637281 3877644 net.cpp:382] loss -> loss I0909 12:04:26.637287 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.637297 3877644 net.cpp:124] Setting up loss I0909 12:04:26.637300 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.637303 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.637310 3877644 net.cpp:139] Memory required for data: 416 I0909 12:04:26.637313 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.637316 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.637319 3877644 net.cpp:202] val_data does not need backward computation. I0909 12:04:26.637322 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.637327 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.637851 3877644 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I0909 12:04:26.637859 3877644 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I0909 12:04:26.637862 3877644 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 } } I0909 12:04:26.637917 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.637924 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.637928 3877644 net.cpp:382] data -> data I0909 12:04:26.637938 3877644 net.cpp:124] Setting up data I0909 12:04:26.637941 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.637945 3877644 net.cpp:139] Memory required for data: 400 I0909 12:04:26.637948 3877644 layer_factory.hpp:77] Creating layer data_data_0_split I0909 12:04:26.637957 3877644 net.cpp:86] Creating Layer data_data_0_split I0909 12:04:26.637959 3877644 net.cpp:408] data_data_0_split <- data I0909 12:04:26.637964 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0909 12:04:26.637969 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0909 12:04:26.637974 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0909 12:04:26.637986 3877644 net.cpp:124] Setting up data_data_0_split I0909 12:04:26.637989 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.637992 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.637995 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.638000 3877644 net.cpp:139] Memory required for data: 1600 I0909 12:04:26.638001 3877644 layer_factory.hpp:77] Creating layer NoLevel I0909 12:04:26.638008 3877644 net.cpp:86] Creating Layer NoLevel I0909 12:04:26.638011 3877644 net.cpp:408] NoLevel <- data_data_0_split_0 I0909 12:04:26.638015 3877644 net.cpp:382] NoLevel -> NoLevel I0909 12:04:26.638024 3877644 net.cpp:124] Setting up NoLevel I0909 12:04:26.638027 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.638031 3877644 net.cpp:139] Memory required for data: 1604 I0909 12:04:26.638036 3877644 layer_factory.hpp:77] Creating layer Level0Only I0909 12:04:26.638041 3877644 net.cpp:86] Creating Layer Level0Only I0909 12:04:26.638043 3877644 net.cpp:408] Level0Only <- data_data_0_split_1 I0909 12:04:26.638047 3877644 net.cpp:382] Level0Only -> Level0Only I0909 12:04:26.638054 3877644 net.cpp:124] Setting up Level0Only I0909 12:04:26.638057 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.638060 3877644 net.cpp:139] Memory required for data: 1608 I0909 12:04:26.638064 3877644 layer_factory.hpp:77] Creating layer Level>=0 I0909 12:04:26.638070 3877644 net.cpp:86] Creating Layer Level>=0 I0909 12:04:26.638073 3877644 net.cpp:408] Level>=0 <- data_data_0_split_2 I0909 12:04:26.638077 3877644 net.cpp:382] Level>=0 -> Level>=0 I0909 12:04:26.638084 3877644 net.cpp:124] Setting up Level>=0 I0909 12:04:26.638087 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.638089 3877644 net.cpp:139] Memory required for data: 1612 I0909 12:04:26.638095 3877644 net.cpp:202] Level>=0 does not need backward computation. I0909 12:04:26.638098 3877644 net.cpp:202] Level0Only does not need backward computation. I0909 12:04:26.638101 3877644 net.cpp:202] NoLevel does not need backward computation. I0909 12:04:26.638104 3877644 net.cpp:202] data_data_0_split does not need backward computation. I0909 12:04:26.638106 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.638109 3877644 net.cpp:244] This network produces output Level0Only I0909 12:04:26.638111 3877644 net.cpp:244] This network produces output Level>=0 I0909 12:04:26.638114 3877644 net.cpp:244] This network produces output NoLevel I0909 12:04:26.638119 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.638624 3877644 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I0909 12:04:26.638695 3877644 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 } } I0909 12:04:26.638803 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.638845 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.638875 3877644 net.cpp:382] data -> data I0909 12:04:26.638911 3877644 net.cpp:124] Setting up data I0909 12:04:26.638935 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.638957 3877644 net.cpp:139] Memory required for data: 400 I0909 12:04:26.638976 3877644 layer_factory.hpp:77] Creating layer data_data_0_split I0909 12:04:26.639003 3877644 net.cpp:86] Creating Layer data_data_0_split I0909 12:04:26.639029 3877644 net.cpp:408] data_data_0_split <- data I0909 12:04:26.639057 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0909 12:04:26.639101 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0909 12:04:26.639124 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0909 12:04:26.639132 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0909 12:04:26.639144 3877644 net.cpp:124] Setting up data_data_0_split I0909 12:04:26.639149 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.639156 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.639161 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.639165 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.639168 3877644 net.cpp:139] Memory required for data: 2000 I0909 12:04:26.639171 3877644 layer_factory.hpp:77] Creating layer NoLevel I0909 12:04:26.639178 3877644 net.cpp:86] Creating Layer NoLevel I0909 12:04:26.639180 3877644 net.cpp:408] NoLevel <- data_data_0_split_0 I0909 12:04:26.639185 3877644 net.cpp:382] NoLevel -> NoLevel I0909 12:04:26.639196 3877644 net.cpp:124] Setting up NoLevel I0909 12:04:26.639206 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.639214 3877644 net.cpp:139] Memory required for data: 2004 I0909 12:04:26.639223 3877644 layer_factory.hpp:77] Creating layer Level1Only I0909 12:04:26.639231 3877644 net.cpp:86] Creating Layer Level1Only I0909 12:04:26.639235 3877644 net.cpp:408] Level1Only <- data_data_0_split_1 I0909 12:04:26.639243 3877644 net.cpp:382] Level1Only -> Level1Only I0909 12:04:26.639271 3877644 net.cpp:124] Setting up Level1Only I0909 12:04:26.639279 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.639285 3877644 net.cpp:139] Memory required for data: 2008 I0909 12:04:26.639294 3877644 layer_factory.hpp:77] Creating layer Level>=0 I0909 12:04:26.639307 3877644 net.cpp:86] Creating Layer Level>=0 I0909 12:04:26.639312 3877644 net.cpp:408] Level>=0 <- data_data_0_split_2 I0909 12:04:26.639328 3877644 net.cpp:382] Level>=0 -> Level>=0 I0909 12:04:26.639350 3877644 net.cpp:124] Setting up Level>=0 I0909 12:04:26.639358 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.639364 3877644 net.cpp:139] Memory required for data: 2012 I0909 12:04:26.639374 3877644 layer_factory.hpp:77] Creating layer Level>=1 I0909 12:04:26.639384 3877644 net.cpp:86] Creating Layer Level>=1 I0909 12:04:26.639389 3877644 net.cpp:408] Level>=1 <- data_data_0_split_3 I0909 12:04:26.639396 3877644 net.cpp:382] Level>=1 -> Level>=1 I0909 12:04:26.639420 3877644 net.cpp:124] Setting up Level>=1 I0909 12:04:26.639428 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.639434 3877644 net.cpp:139] Memory required for data: 2016 I0909 12:04:26.639441 3877644 net.cpp:202] Level>=1 does not need backward computation. I0909 12:04:26.639446 3877644 net.cpp:202] Level>=0 does not need backward computation. I0909 12:04:26.639451 3877644 net.cpp:202] Level1Only does not need backward computation. I0909 12:04:26.639463 3877644 net.cpp:202] NoLevel does not need backward computation. I0909 12:04:26.639468 3877644 net.cpp:202] data_data_0_split does not need backward computation. I0909 12:04:26.639477 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.639480 3877644 net.cpp:244] This network produces output Level1Only I0909 12:04:26.639487 3877644 net.cpp:244] This network produces output Level>=0 I0909 12:04:26.639494 3877644 net.cpp:244] This network produces output Level>=1 I0909 12:04:26.639499 3877644 net.cpp:244] This network produces output NoLevel I0909 12:04:26.639509 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.640092 3877644 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" } I0909 12:04:26.640182 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.640195 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.640239 3877644 net.cpp:382] data -> data I0909 12:04:26.640275 3877644 net.cpp:382] data -> label I0909 12:04:26.640313 3877644 net.cpp:124] Setting up data I0909 12:04:26.640347 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.640390 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.640414 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.640424 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.640440 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.640446 3877644 net.cpp:408] conv <- data I0909 12:04:26.640455 3877644 net.cpp:382] conv -> conv I0909 12:04:26.640553 3877644 net.cpp:124] Setting up conv I0909 12:04:26.640568 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.640574 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.640585 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.640594 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.640600 3877644 net.cpp:408] ip <- conv I0909 12:04:26.640609 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.640791 3877644 net.cpp:124] Setting up ip I0909 12:04:26.640803 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.640810 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.640820 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.640827 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.640831 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.640838 3877644 net.cpp:408] loss <- label I0909 12:04:26.640872 3877644 net.cpp:382] loss -> loss I0909 12:04:26.640903 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.640940 3877644 net.cpp:124] Setting up loss I0909 12:04:26.640949 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.640956 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.640965 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.640970 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.640976 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.640980 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.640986 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.641024 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.641054 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.642885 3877644 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" } I0909 12:04:26.642973 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.642985 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.642994 3877644 net.cpp:382] data -> data I0909 12:04:26.643007 3877644 net.cpp:382] data -> label I0909 12:04:26.643059 3877644 net.cpp:124] Setting up data I0909 12:04:26.643072 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.643079 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.643085 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.643090 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.643102 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.643108 3877644 net.cpp:408] conv <- data I0909 12:04:26.643117 3877644 net.cpp:382] conv -> conv I0909 12:04:26.643173 3877644 net.cpp:124] Setting up conv I0909 12:04:26.643185 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.643191 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.643203 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.643211 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.643242 3877644 net.cpp:408] ip <- conv I0909 12:04:26.643271 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.643445 3877644 net.cpp:124] Setting up ip I0909 12:04:26.643460 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.643467 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.643476 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.643486 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.643491 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.643497 3877644 net.cpp:408] loss <- label I0909 12:04:26.643512 3877644 net.cpp:382] loss -> loss I0909 12:04:26.643524 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.643541 3877644 net.cpp:124] Setting up loss I0909 12:04:26.643546 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.643551 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.643561 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.643566 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.643572 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.643605 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.643630 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.643651 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.643675 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.644919 3877644 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" } I0909 12:04:26.645004 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.645016 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.645025 3877644 net.cpp:382] data -> data I0909 12:04:26.645037 3877644 net.cpp:382] data -> label I0909 12:04:26.645087 3877644 net.cpp:124] Setting up data I0909 12:04:26.645115 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.645140 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.645164 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.645185 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.645217 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.645242 3877644 net.cpp:408] conv <- data I0909 12:04:26.645268 3877644 net.cpp:382] conv -> conv I0909 12:04:26.645318 3877644 net.cpp:124] Setting up conv I0909 12:04:26.645331 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.645337 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.645347 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.645355 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.645360 3877644 net.cpp:408] ip <- conv I0909 12:04:26.645370 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.645545 3877644 net.cpp:124] Setting up ip I0909 12:04:26.645558 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.645565 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.645574 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.645583 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.645588 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.645596 3877644 net.cpp:408] loss <- label I0909 12:04:26.645640 3877644 net.cpp:382] loss -> loss I0909 12:04:26.645661 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.645679 3877644 net.cpp:124] Setting up loss I0909 12:04:26.645685 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.645690 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.645700 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.645705 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.645737 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.645761 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.645784 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.645807 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.645833 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.646911 3877644 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" } I0909 12:04:26.646996 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.647007 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.647015 3877644 net.cpp:382] data -> data I0909 12:04:26.647028 3877644 net.cpp:382] data -> label I0909 12:04:26.647078 3877644 net.cpp:124] Setting up data I0909 12:04:26.647109 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.647135 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.647145 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.647150 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.647163 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.647169 3877644 net.cpp:408] conv <- data I0909 12:04:26.647177 3877644 net.cpp:382] conv -> conv I0909 12:04:26.647207 3877644 net.cpp:124] Setting up conv I0909 12:04:26.647212 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.647243 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.647271 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.647300 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.647325 3877644 net.cpp:408] ip <- conv I0909 12:04:26.647351 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.647495 3877644 net.cpp:124] Setting up ip I0909 12:04:26.647507 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.647514 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.647523 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.647531 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.647536 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.647542 3877644 net.cpp:408] loss <- label I0909 12:04:26.647550 3877644 net.cpp:382] loss -> loss I0909 12:04:26.647588 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.647624 3877644 net.cpp:124] Setting up loss I0909 12:04:26.647648 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.647672 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.647708 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.647727 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.647733 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.647738 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.647743 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.647748 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.647756 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.648972 3877644 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" } I0909 12:04:26.649058 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.649072 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.649127 3877644 net.cpp:382] data -> data I0909 12:04:26.649165 3877644 net.cpp:382] data -> label I0909 12:04:26.649206 3877644 net.cpp:124] Setting up data I0909 12:04:26.649240 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.649295 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.649308 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.649314 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.649331 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.649338 3877644 net.cpp:408] conv <- data I0909 12:04:26.649348 3877644 net.cpp:382] conv -> conv I0909 12:04:26.649381 3877644 net.cpp:124] Setting up conv I0909 12:04:26.649413 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.649438 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.649468 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.649497 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.649523 3877644 net.cpp:408] ip <- conv I0909 12:04:26.649552 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.649722 3877644 net.cpp:124] Setting up ip I0909 12:04:26.649736 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.649744 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.649752 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.649760 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.649766 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.649781 3877644 net.cpp:408] loss <- label I0909 12:04:26.649788 3877644 net.cpp:382] loss -> loss I0909 12:04:26.649799 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.649816 3877644 net.cpp:124] Setting up loss I0909 12:04:26.649821 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.649827 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.649837 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.649871 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.649895 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.649919 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.649940 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.649962 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.649986 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.650735 3877644 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" } I0909 12:04:26.650818 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.650831 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.650839 3877644 net.cpp:382] data -> data I0909 12:04:26.650863 3877644 net.cpp:382] data -> label I0909 12:04:26.650878 3877644 net.cpp:124] Setting up data I0909 12:04:26.650884 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.650890 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.650895 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.650900 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.650913 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.650925 3877644 net.cpp:408] conv <- data I0909 12:04:26.650934 3877644 net.cpp:382] conv -> conv I0909 12:04:26.650964 3877644 net.cpp:124] Setting up conv I0909 12:04:26.650976 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.650983 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.650995 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.651005 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.651012 3877644 net.cpp:408] ip <- conv I0909 12:04:26.651021 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.651160 3877644 net.cpp:124] Setting up ip I0909 12:04:26.651175 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.651180 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.651189 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.651196 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.651201 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.651206 3877644 net.cpp:408] loss <- label I0909 12:04:26.651214 3877644 net.cpp:382] loss -> loss I0909 12:04:26.651235 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.651252 3877644 net.cpp:124] Setting up loss I0909 12:04:26.651257 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.651261 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.651270 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.651274 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.651279 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.651284 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.651288 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.651293 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.651301 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.652009 3877644 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" } I0909 12:04:26.652091 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.652104 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.652123 3877644 net.cpp:382] data -> data I0909 12:04:26.652136 3877644 net.cpp:382] data -> label I0909 12:04:26.652150 3877644 net.cpp:124] Setting up data I0909 12:04:26.652155 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.652161 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.652166 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.652170 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.652182 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.652187 3877644 net.cpp:408] conv <- data I0909 12:04:26.652195 3877644 net.cpp:382] conv -> conv I0909 12:04:26.652225 3877644 net.cpp:124] Setting up conv I0909 12:04:26.652238 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.652245 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.652254 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.652263 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.652274 3877644 net.cpp:408] ip <- conv I0909 12:04:26.652282 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.652422 3877644 net.cpp:124] Setting up ip I0909 12:04:26.652431 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.652434 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.652439 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.652446 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.652449 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.652454 3877644 net.cpp:408] loss <- label I0909 12:04:26.652462 3877644 net.cpp:382] loss -> loss I0909 12:04:26.652473 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.652496 3877644 net.cpp:124] Setting up loss I0909 12:04:26.652505 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.652510 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.652525 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.652530 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.652536 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.652545 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.652550 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.652554 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.652563 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.653367 3877644 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" } I0909 12:04:26.653442 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.653450 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.653458 3877644 net.cpp:382] data -> data I0909 12:04:26.653466 3877644 net.cpp:382] data -> label I0909 12:04:26.653475 3877644 net.cpp:124] Setting up data I0909 12:04:26.653478 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.653482 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.653486 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.653488 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.653496 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.653498 3877644 net.cpp:408] conv <- data I0909 12:04:26.653503 3877644 net.cpp:382] conv -> conv I0909 12:04:26.653520 3877644 net.cpp:124] Setting up conv I0909 12:04:26.653523 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.653527 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.653533 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.653537 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.653540 3877644 net.cpp:408] ip <- conv I0909 12:04:26.653545 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.653642 3877644 net.cpp:124] Setting up ip I0909 12:04:26.653645 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.653648 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.653653 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.653657 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.653661 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.653663 3877644 net.cpp:408] loss <- label I0909 12:04:26.653667 3877644 net.cpp:382] loss -> loss I0909 12:04:26.653673 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.653681 3877644 net.cpp:124] Setting up loss I0909 12:04:26.653684 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.653687 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.653693 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.653697 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.653699 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.653702 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.653704 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.653707 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.653712 3877644 net.cpp:257] Network initialization done. W0909 12:04:26.654386 3877644 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W0909 12:04:26.654402 3877644 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W0909 12:04:26.654404 3877644 _caffe.cpp:142] Net('/tmp/tmpp0nt3blx', 0, weights='/tmp/tmpwfg8xiht') I0909 12:04:26.654502 3877644 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" } I0909 12:04:26.654640 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.654655 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.654662 3877644 net.cpp:382] data -> data I0909 12:04:26.654672 3877644 net.cpp:382] data -> label I0909 12:04:26.654685 3877644 net.cpp:124] Setting up data I0909 12:04:26.654688 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.654695 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.654698 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.654702 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.654713 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.654717 3877644 net.cpp:408] conv <- data I0909 12:04:26.654724 3877644 net.cpp:382] conv -> conv I0909 12:04:26.654748 3877644 net.cpp:124] Setting up conv I0909 12:04:26.654753 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.654758 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.654767 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.654773 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.654778 3877644 net.cpp:408] ip <- conv I0909 12:04:26.654783 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.654944 3877644 net.cpp:124] Setting up ip I0909 12:04:26.654958 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.654964 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.654973 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.654981 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.654987 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.654992 3877644 net.cpp:408] loss <- label I0909 12:04:26.655000 3877644 net.cpp:382] loss -> loss I0909 12:04:26.655011 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.655066 3877644 net.cpp:124] Setting up loss I0909 12:04:26.655112 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.655138 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.655166 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.655187 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.655212 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.655234 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.655256 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.655277 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.655301 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.656417 3877644 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" } I0909 12:04:26.656498 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.656512 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.656519 3877644 net.cpp:382] data -> data I0909 12:04:26.656563 3877644 net.cpp:382] data -> label I0909 12:04:26.656599 3877644 net.cpp:124] Setting up data I0909 12:04:26.656623 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.656648 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.656672 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.656694 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.656724 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.656749 3877644 net.cpp:408] conv <- data I0909 12:04:26.656774 3877644 net.cpp:382] conv -> conv I0909 12:04:26.656824 3877644 net.cpp:124] Setting up conv I0909 12:04:26.656837 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.656845 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.656855 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.656864 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.656868 3877644 net.cpp:408] ip <- conv I0909 12:04:26.656877 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.657038 3877644 net.cpp:124] Setting up ip I0909 12:04:26.657051 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.657058 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.657066 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.657074 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.657078 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.657085 3877644 net.cpp:408] loss <- label I0909 12:04:26.657117 3877644 net.cpp:382] loss -> loss I0909 12:04:26.657148 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.657186 3877644 net.cpp:124] Setting up loss I0909 12:04:26.657212 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.657234 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.657263 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.657285 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.657308 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.657331 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.657369 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.657394 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.657419 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.658376 3877644 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" } I0909 12:04:26.658463 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.658476 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.658521 3877644 net.cpp:382] data -> data I0909 12:04:26.658573 3877644 net.cpp:382] data -> label I0909 12:04:26.658623 3877644 net.cpp:124] Setting up data I0909 12:04:26.658653 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.658695 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.658711 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.658717 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.658732 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.658738 3877644 net.cpp:408] conv <- data I0909 12:04:26.658747 3877644 net.cpp:382] conv -> conv I0909 12:04:26.658778 3877644 net.cpp:124] Setting up conv I0909 12:04:26.658812 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.658838 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.658869 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.658896 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.658921 3877644 net.cpp:408] ip <- conv I0909 12:04:26.658949 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.659096 3877644 net.cpp:124] Setting up ip I0909 12:04:26.659108 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.659116 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.659124 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.659132 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.659137 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.659144 3877644 net.cpp:408] loss <- label I0909 12:04:26.659180 3877644 net.cpp:382] loss -> loss I0909 12:04:26.659212 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.659250 3877644 net.cpp:124] Setting up loss I0909 12:04:26.659260 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.659267 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.659276 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.659281 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.659287 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.659292 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.659297 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.659302 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.659312 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.660954 3877644 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" } I0909 12:04:26.661036 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.661047 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.661055 3877644 net.cpp:382] data -> data I0909 12:04:26.661067 3877644 net.cpp:382] data -> label I0909 12:04:26.661080 3877644 net.cpp:124] Setting up data I0909 12:04:26.661118 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.661147 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.661171 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.661180 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.661194 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.661199 3877644 net.cpp:408] conv <- data I0909 12:04:26.661207 3877644 net.cpp:382] conv -> conv I0909 12:04:26.661234 3877644 net.cpp:124] Setting up conv I0909 12:04:26.661239 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.661245 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.661257 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.661338 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.661378 3877644 net.cpp:408] ip <- conv I0909 12:04:26.661393 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.661558 3877644 net.cpp:124] Setting up ip I0909 12:04:26.661571 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.661578 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.661587 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.661595 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.661600 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.661643 3877644 net.cpp:408] loss <- label I0909 12:04:26.661677 3877644 net.cpp:382] loss -> loss I0909 12:04:26.661710 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.661748 3877644 net.cpp:124] Setting up loss I0909 12:04:26.661774 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.661799 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.661830 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.661851 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.661875 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.661895 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.661918 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.661938 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.661963 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.662292 3877644 hdf5.cpp:33] Datatype class: H5T_FLOAT .I0909 12:04:26.663503 3877644 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" } I0909 12:04:26.663589 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.663601 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.663609 3877644 net.cpp:382] data -> data I0909 12:04:26.663621 3877644 net.cpp:382] data -> label I0909 12:04:26.663674 3877644 net.cpp:124] Setting up data I0909 12:04:26.663702 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.663727 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.663751 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.663774 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.663792 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.663798 3877644 net.cpp:408] conv <- data I0909 12:04:26.663808 3877644 net.cpp:382] conv -> conv I0909 12:04:26.663838 3877644 net.cpp:124] Setting up conv I0909 12:04:26.663846 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.663851 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.663861 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.663900 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.663924 3877644 net.cpp:408] ip <- conv I0909 12:04:26.663951 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.664093 3877644 net.cpp:124] Setting up ip I0909 12:04:26.664104 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.664111 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.664120 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.664129 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.664132 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.664139 3877644 net.cpp:408] loss <- label I0909 12:04:26.664146 3877644 net.cpp:382] loss -> loss I0909 12:04:26.664186 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.664225 3877644 net.cpp:124] Setting up loss I0909 12:04:26.664251 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.664276 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.664305 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.664327 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.664350 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.664371 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.664381 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.664387 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.664395 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.665225 3877644 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I0909 12:04:26.665241 3877644 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I0909 12:04:26.665248 3877644 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 } } I0909 12:04:26.665359 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.665407 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.665453 3877644 net.cpp:382] data -> data I0909 12:04:26.665503 3877644 net.cpp:124] Setting up data I0909 12:04:26.665542 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.665555 3877644 net.cpp:139] Memory required for data: 400 I0909 12:04:26.665562 3877644 layer_factory.hpp:77] Creating layer data_data_0_split I0909 12:04:26.665571 3877644 net.cpp:86] Creating Layer data_data_0_split I0909 12:04:26.665576 3877644 net.cpp:408] data_data_0_split <- data I0909 12:04:26.665583 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0909 12:04:26.665592 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0909 12:04:26.665602 3877644 net.cpp:124] Setting up data_data_0_split I0909 12:04:26.665607 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.665614 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.665643 3877644 net.cpp:139] Memory required for data: 1200 I0909 12:04:26.665666 3877644 layer_factory.hpp:77] Creating layer A I0909 12:04:26.665695 3877644 net.cpp:86] Creating Layer A I0909 12:04:26.665719 3877644 net.cpp:408] A <- data_data_0_split_0 I0909 12:04:26.665745 3877644 net.cpp:382] A -> A I0909 12:04:26.665782 3877644 net.cpp:124] Setting up A I0909 12:04:26.665815 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.665827 3877644 net.cpp:139] Memory required for data: 1204 I0909 12:04:26.665839 3877644 layer_factory.hpp:77] Creating layer AorB I0909 12:04:26.665855 3877644 net.cpp:86] Creating Layer AorB I0909 12:04:26.665860 3877644 net.cpp:408] AorB <- data_data_0_split_1 I0909 12:04:26.665879 3877644 net.cpp:382] AorB -> AorB I0909 12:04:26.665902 3877644 net.cpp:124] Setting up AorB I0909 12:04:26.665912 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.665918 3877644 net.cpp:139] Memory required for data: 1208 I0909 12:04:26.665927 3877644 net.cpp:202] AorB does not need backward computation. I0909 12:04:26.665933 3877644 net.cpp:202] A does not need backward computation. I0909 12:04:26.665948 3877644 net.cpp:202] data_data_0_split does not need backward computation. I0909 12:04:26.665954 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.665959 3877644 net.cpp:244] This network produces output A I0909 12:04:26.665971 3877644 net.cpp:244] This network produces output AorB I0909 12:04:26.665982 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.666502 3877644 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 } } I0909 12:04:26.666633 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.666683 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.666698 3877644 net.cpp:382] data -> data I0909 12:04:26.666714 3877644 net.cpp:124] Setting up data I0909 12:04:26.666719 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.666725 3877644 net.cpp:139] Memory required for data: 400 I0909 12:04:26.666730 3877644 layer_factory.hpp:77] Creating layer data_data_0_split I0909 12:04:26.666738 3877644 net.cpp:86] Creating Layer data_data_0_split I0909 12:04:26.666742 3877644 net.cpp:408] data_data_0_split <- data I0909 12:04:26.666750 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0909 12:04:26.666760 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0909 12:04:26.666811 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_2 I0909 12:04:26.666857 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_3 I0909 12:04:26.666882 3877644 net.cpp:124] Setting up data_data_0_split I0909 12:04:26.666888 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.666894 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.666899 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.666904 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.666909 3877644 net.cpp:139] Memory required for data: 2000 I0909 12:04:26.666914 3877644 layer_factory.hpp:77] Creating layer A I0909 12:04:26.666924 3877644 net.cpp:86] Creating Layer A I0909 12:04:26.666929 3877644 net.cpp:408] A <- data_data_0_split_0 I0909 12:04:26.666936 3877644 net.cpp:382] A -> A I0909 12:04:26.666949 3877644 net.cpp:124] Setting up A I0909 12:04:26.666956 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.666960 3877644 net.cpp:139] Memory required for data: 2004 I0909 12:04:26.666966 3877644 layer_factory.hpp:77] Creating layer B I0909 12:04:26.666971 3877644 net.cpp:86] Creating Layer B I0909 12:04:26.666975 3877644 net.cpp:408] B <- data_data_0_split_1 I0909 12:04:26.666978 3877644 net.cpp:382] B -> B I0909 12:04:26.666986 3877644 net.cpp:124] Setting up B I0909 12:04:26.666988 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.666991 3877644 net.cpp:139] Memory required for data: 2008 I0909 12:04:26.666996 3877644 layer_factory.hpp:77] Creating layer AorB I0909 12:04:26.667001 3877644 net.cpp:86] Creating Layer AorB I0909 12:04:26.667003 3877644 net.cpp:408] AorB <- data_data_0_split_2 I0909 12:04:26.667007 3877644 net.cpp:382] AorB -> AorB I0909 12:04:26.667014 3877644 net.cpp:124] Setting up AorB I0909 12:04:26.667016 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.667019 3877644 net.cpp:139] Memory required for data: 2012 I0909 12:04:26.667023 3877644 layer_factory.hpp:77] Creating layer AandB I0909 12:04:26.667027 3877644 net.cpp:86] Creating Layer AandB I0909 12:04:26.667030 3877644 net.cpp:408] AandB <- data_data_0_split_3 I0909 12:04:26.667034 3877644 net.cpp:382] AandB -> AandB I0909 12:04:26.667040 3877644 net.cpp:124] Setting up AandB I0909 12:04:26.667043 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.667047 3877644 net.cpp:139] Memory required for data: 2016 I0909 12:04:26.667050 3877644 net.cpp:202] AandB does not need backward computation. I0909 12:04:26.667053 3877644 net.cpp:202] AorB does not need backward computation. I0909 12:04:26.667057 3877644 net.cpp:202] B does not need backward computation. I0909 12:04:26.667059 3877644 net.cpp:202] A does not need backward computation. I0909 12:04:26.667062 3877644 net.cpp:202] data_data_0_split does not need backward computation. I0909 12:04:26.667064 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.667068 3877644 net.cpp:244] This network produces output A I0909 12:04:26.667070 3877644 net.cpp:244] This network produces output AandB I0909 12:04:26.667073 3877644 net.cpp:244] This network produces output AorB I0909 12:04:26.667075 3877644 net.cpp:244] This network produces output B I0909 12:04:26.667081 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.667542 3877644 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I0909 12:04:26.667562 3877644 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I0909 12:04:26.667569 3877644 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I0909 12:04:26.667573 3877644 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 } } I0909 12:04:26.667645 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.667655 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.667662 3877644 net.cpp:382] data -> data I0909 12:04:26.667676 3877644 net.cpp:124] Setting up data I0909 12:04:26.667682 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.667688 3877644 net.cpp:139] Memory required for data: 400 I0909 12:04:26.667692 3877644 layer_factory.hpp:77] Creating layer data_data_0_split I0909 12:04:26.667701 3877644 net.cpp:86] Creating Layer data_data_0_split I0909 12:04:26.667704 3877644 net.cpp:408] data_data_0_split <- data I0909 12:04:26.667712 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 I0909 12:04:26.667758 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 I0909 12:04:26.667791 3877644 net.cpp:124] Setting up data_data_0_split I0909 12:04:26.667817 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.667841 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) I0909 12:04:26.667865 3877644 net.cpp:139] Memory required for data: 1200 I0909 12:04:26.667884 3877644 layer_factory.hpp:77] Creating layer B I0909 12:04:26.667909 3877644 net.cpp:86] Creating Layer B I0909 12:04:26.667919 3877644 net.cpp:408] B <- data_data_0_split_0 I0909 12:04:26.667927 3877644 net.cpp:382] B -> B I0909 12:04:26.667943 3877644 net.cpp:124] Setting up B I0909 12:04:26.667948 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.667953 3877644 net.cpp:139] Memory required for data: 1204 I0909 12:04:26.667963 3877644 layer_factory.hpp:77] Creating layer AorB I0909 12:04:26.667994 3877644 net.cpp:86] Creating Layer AorB I0909 12:04:26.668017 3877644 net.cpp:408] AorB <- data_data_0_split_1 I0909 12:04:26.668046 3877644 net.cpp:382] AorB -> AorB I0909 12:04:26.668082 3877644 net.cpp:124] Setting up AorB I0909 12:04:26.668107 3877644 net.cpp:131] Top shape: 1 1 (1) I0909 12:04:26.668131 3877644 net.cpp:139] Memory required for data: 1208 I0909 12:04:26.668145 3877644 net.cpp:202] AorB does not need backward computation. I0909 12:04:26.668150 3877644 net.cpp:202] B does not need backward computation. I0909 12:04:26.668156 3877644 net.cpp:202] data_data_0_split does not need backward computation. I0909 12:04:26.668161 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.668164 3877644 net.cpp:244] This network produces output AorB I0909 12:04:26.668169 3877644 net.cpp:244] This network produces output B I0909 12:04:26.668176 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.669401 3877644 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" } I0909 12:04:26.669508 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.669565 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.669597 3877644 net.cpp:382] data -> data I0909 12:04:26.669631 3877644 net.cpp:382] data -> label I0909 12:04:26.669735 3877644 net.cpp:124] Setting up data I0909 12:04:26.669749 3877644 net.cpp:131] Top shape: 50 1 28 28 (39200) I0909 12:04:26.669759 3877644 net.cpp:131] Top shape: 50 1 1 1 (50) I0909 12:04:26.669764 3877644 net.cpp:139] Memory required for data: 157000 I0909 12:04:26.669768 3877644 layer_factory.hpp:77] Creating layer conv1 I0909 12:04:26.669785 3877644 net.cpp:86] Creating Layer conv1 I0909 12:04:26.669814 3877644 net.cpp:408] conv1 <- data I0909 12:04:26.669842 3877644 net.cpp:382] conv1 -> conv1 I0909 12:04:26.669899 3877644 net.cpp:124] Setting up conv1 I0909 12:04:26.669938 3877644 net.cpp:131] Top shape: 50 20 24 24 (576000) I0909 12:04:26.669960 3877644 net.cpp:139] Memory required for data: 2461000 I0909 12:04:26.669972 3877644 layer_factory.hpp:77] Creating layer pool1 I0909 12:04:26.669983 3877644 net.cpp:86] Creating Layer pool1 I0909 12:04:26.669989 3877644 net.cpp:408] pool1 <- conv1 I0909 12:04:26.669996 3877644 net.cpp:382] pool1 -> pool1 I0909 12:04:26.670024 3877644 net.cpp:124] Setting up pool1 I0909 12:04:26.670032 3877644 net.cpp:131] Top shape: 50 20 12 12 (144000) I0909 12:04:26.670035 3877644 net.cpp:139] Memory required for data: 3037000 I0909 12:04:26.670038 3877644 layer_factory.hpp:77] Creating layer conv2 I0909 12:04:26.670046 3877644 net.cpp:86] Creating Layer conv2 I0909 12:04:26.670054 3877644 net.cpp:408] conv2 <- pool1 I0909 12:04:26.670059 3877644 net.cpp:382] conv2 -> conv2 I0909 12:04:26.670192 3877644 net.cpp:124] Setting up conv2 I0909 12:04:26.670198 3877644 net.cpp:131] Top shape: 50 50 8 8 (160000) I0909 12:04:26.670203 3877644 net.cpp:139] Memory required for data: 3677000 I0909 12:04:26.670208 3877644 layer_factory.hpp:77] Creating layer pool2 I0909 12:04:26.670213 3877644 net.cpp:86] Creating Layer pool2 I0909 12:04:26.670215 3877644 net.cpp:408] pool2 <- conv2 I0909 12:04:26.670219 3877644 net.cpp:382] pool2 -> pool2 I0909 12:04:26.670225 3877644 net.cpp:124] Setting up pool2 I0909 12:04:26.670228 3877644 net.cpp:131] Top shape: 50 50 4 4 (40000) I0909 12:04:26.670230 3877644 net.cpp:139] Memory required for data: 3837000 I0909 12:04:26.670233 3877644 layer_factory.hpp:77] Creating layer ip1 I0909 12:04:26.670238 3877644 net.cpp:86] Creating Layer ip1 I0909 12:04:26.670240 3877644 net.cpp:408] ip1 <- pool2 I0909 12:04:26.670244 3877644 net.cpp:382] ip1 -> ip1 I0909 12:04:26.672731 3877644 net.cpp:124] Setting up ip1 I0909 12:04:26.672746 3877644 net.cpp:131] Top shape: 50 500 (25000) I0909 12:04:26.672753 3877644 net.cpp:139] Memory required for data: 3937000 I0909 12:04:26.672761 3877644 layer_factory.hpp:77] Creating layer relu1 I0909 12:04:26.672770 3877644 net.cpp:86] Creating Layer relu1 I0909 12:04:26.672775 3877644 net.cpp:408] relu1 <- ip1 I0909 12:04:26.672780 3877644 net.cpp:369] relu1 -> ip1 (in-place) I0909 12:04:26.672801 3877644 net.cpp:124] Setting up relu1 I0909 12:04:26.672806 3877644 net.cpp:131] Top shape: 50 500 (25000) I0909 12:04:26.672811 3877644 net.cpp:139] Memory required for data: 4037000 I0909 12:04:26.672816 3877644 layer_factory.hpp:77] Creating layer ip2 I0909 12:04:26.672822 3877644 net.cpp:86] Creating Layer ip2 I0909 12:04:26.672827 3877644 net.cpp:408] ip2 <- ip1 I0909 12:04:26.672832 3877644 net.cpp:382] ip2 -> ip2 I0909 12:04:26.672891 3877644 net.cpp:124] Setting up ip2 I0909 12:04:26.672933 3877644 net.cpp:131] Top shape: 50 10 (500) I0909 12:04:26.672960 3877644 net.cpp:139] Memory required for data: 4039000 I0909 12:04:26.672986 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.673012 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.673049 3877644 net.cpp:408] loss <- ip2 I0909 12:04:26.673075 3877644 net.cpp:408] loss <- label I0909 12:04:26.673112 3877644 net.cpp:382] loss -> loss I0909 12:04:26.673136 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.673153 3877644 net.cpp:124] Setting up loss I0909 12:04:26.673159 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.673166 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.673175 3877644 net.cpp:139] Memory required for data: 4039004 I0909 12:04:26.673179 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.673184 3877644 net.cpp:200] ip2 needs backward computation. I0909 12:04:26.673188 3877644 net.cpp:200] relu1 needs backward computation. I0909 12:04:26.673193 3877644 net.cpp:200] ip1 needs backward computation. I0909 12:04:26.673199 3877644 net.cpp:200] pool2 needs backward computation. I0909 12:04:26.673231 3877644 net.cpp:200] conv2 needs backward computation. I0909 12:04:26.673256 3877644 net.cpp:200] pool1 needs backward computation. I0909 12:04:26.673278 3877644 net.cpp:200] conv1 needs backward computation. I0909 12:04:26.673300 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.673321 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.673348 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.674154 3877644 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" } I0909 12:04:26.674263 3877644 layer_factory.hpp:77] Creating layer DummyData1 I0909 12:04:26.674310 3877644 net.cpp:86] Creating Layer DummyData1 I0909 12:04:26.674340 3877644 net.cpp:382] DummyData1 -> DummyData1 I0909 12:04:26.674371 3877644 net.cpp:382] DummyData1 -> DummyData2 I0909 12:04:26.674522 3877644 net.cpp:124] Setting up DummyData1 I0909 12:04:26.674535 3877644 net.cpp:131] Top shape: 50 1 28 28 (39200) I0909 12:04:26.674544 3877644 net.cpp:131] Top shape: 50 1 1 1 (50) I0909 12:04:26.674551 3877644 net.cpp:139] Memory required for data: 157000 I0909 12:04:26.674569 3877644 layer_factory.hpp:77] Creating layer Convolution1 I0909 12:04:26.674582 3877644 net.cpp:86] Creating Layer Convolution1 I0909 12:04:26.674587 3877644 net.cpp:408] Convolution1 <- DummyData1 I0909 12:04:26.674595 3877644 net.cpp:382] Convolution1 -> Convolution1 I0909 12:04:26.674660 3877644 net.cpp:124] Setting up Convolution1 I0909 12:04:26.674702 3877644 net.cpp:131] Top shape: 50 20 24 24 (576000) I0909 12:04:26.674716 3877644 net.cpp:139] Memory required for data: 2461000 I0909 12:04:26.674728 3877644 layer_factory.hpp:77] Creating layer Pooling1 I0909 12:04:26.674738 3877644 net.cpp:86] Creating Layer Pooling1 I0909 12:04:26.674743 3877644 net.cpp:408] Pooling1 <- Convolution1 I0909 12:04:26.674750 3877644 net.cpp:382] Pooling1 -> Pooling1 I0909 12:04:26.674762 3877644 net.cpp:124] Setting up Pooling1 I0909 12:04:26.674767 3877644 net.cpp:131] Top shape: 50 20 12 12 (144000) I0909 12:04:26.674773 3877644 net.cpp:139] Memory required for data: 3037000 I0909 12:04:26.674813 3877644 layer_factory.hpp:77] Creating layer Convolution2 I0909 12:04:26.674844 3877644 net.cpp:86] Creating Layer Convolution2 I0909 12:04:26.674867 3877644 net.cpp:408] Convolution2 <- Pooling1 I0909 12:04:26.674893 3877644 net.cpp:382] Convolution2 -> Convolution2 I0909 12:04:26.675112 3877644 net.cpp:124] Setting up Convolution2 I0909 12:04:26.675124 3877644 net.cpp:131] Top shape: 50 50 8 8 (160000) I0909 12:04:26.675132 3877644 net.cpp:139] Memory required for data: 3677000 I0909 12:04:26.675140 3877644 layer_factory.hpp:77] Creating layer Pooling2 I0909 12:04:26.675149 3877644 net.cpp:86] Creating Layer Pooling2 I0909 12:04:26.675154 3877644 net.cpp:408] Pooling2 <- Convolution2 I0909 12:04:26.675163 3877644 net.cpp:382] Pooling2 -> Pooling2 I0909 12:04:26.675179 3877644 net.cpp:124] Setting up Pooling2 I0909 12:04:26.675185 3877644 net.cpp:131] Top shape: 50 50 4 4 (40000) I0909 12:04:26.675191 3877644 net.cpp:139] Memory required for data: 3837000 I0909 12:04:26.675196 3877644 layer_factory.hpp:77] Creating layer InnerProduct1 I0909 12:04:26.675202 3877644 net.cpp:86] Creating Layer InnerProduct1 I0909 12:04:26.675206 3877644 net.cpp:408] InnerProduct1 <- Pooling2 I0909 12:04:26.675212 3877644 net.cpp:382] InnerProduct1 -> InnerProduct1 I0909 12:04:26.677923 3877644 net.cpp:124] Setting up InnerProduct1 I0909 12:04:26.677937 3877644 net.cpp:131] Top shape: 50 500 (25000) I0909 12:04:26.677944 3877644 net.cpp:139] Memory required for data: 3937000 I0909 12:04:26.677958 3877644 layer_factory.hpp:77] Creating layer ReLU1 I0909 12:04:26.677966 3877644 net.cpp:86] Creating Layer ReLU1 I0909 12:04:26.677973 3877644 net.cpp:408] ReLU1 <- InnerProduct1 I0909 12:04:26.677980 3877644 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I0909 12:04:26.678002 3877644 net.cpp:124] Setting up ReLU1 I0909 12:04:26.678011 3877644 net.cpp:131] Top shape: 50 500 (25000) I0909 12:04:26.678016 3877644 net.cpp:139] Memory required for data: 4037000 I0909 12:04:26.678025 3877644 layer_factory.hpp:77] Creating layer InnerProduct2 I0909 12:04:26.678031 3877644 net.cpp:86] Creating Layer InnerProduct2 I0909 12:04:26.678040 3877644 net.cpp:408] InnerProduct2 <- InnerProduct1 I0909 12:04:26.678047 3877644 net.cpp:382] InnerProduct2 -> InnerProduct2 I0909 12:04:26.678105 3877644 net.cpp:124] Setting up InnerProduct2 I0909 12:04:26.678113 3877644 net.cpp:131] Top shape: 50 10 (500) I0909 12:04:26.678120 3877644 net.cpp:139] Memory required for data: 4039000 I0909 12:04:26.678126 3877644 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0909 12:04:26.678139 3877644 net.cpp:86] Creating Layer SoftmaxWithLoss1 I0909 12:04:26.678177 3877644 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I0909 12:04:26.678201 3877644 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I0909 12:04:26.678226 3877644 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I0909 12:04:26.678258 3877644 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I0909 12:04:26.678305 3877644 net.cpp:124] Setting up SoftmaxWithLoss1 I0909 12:04:26.678333 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.678357 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.678391 3877644 net.cpp:139] Memory required for data: 4039004 I0909 12:04:26.678413 3877644 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I0909 12:04:26.678435 3877644 net.cpp:200] InnerProduct2 needs backward computation. I0909 12:04:26.678457 3877644 net.cpp:200] ReLU1 needs backward computation. I0909 12:04:26.678480 3877644 net.cpp:200] InnerProduct1 needs backward computation. I0909 12:04:26.678519 3877644 net.cpp:200] Pooling2 needs backward computation. I0909 12:04:26.678541 3877644 net.cpp:200] Convolution2 needs backward computation. I0909 12:04:26.678566 3877644 net.cpp:200] Pooling1 needs backward computation. I0909 12:04:26.678572 3877644 net.cpp:200] Convolution1 needs backward computation. I0909 12:04:26.678578 3877644 net.cpp:202] DummyData1 does not need backward computation. I0909 12:04:26.678582 3877644 net.cpp:244] This network produces output SoftmaxWithLoss1 I0909 12:04:26.678594 3877644 net.cpp:257] Network initialization done. ./build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_net_spec.py:87: DeprecationWarning: Please use assertRaisesRegex instead. with self.assertRaisesRegexp(TypeError, r): .I0909 12:04:26.680083 3877644 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" } I0909 12:04:26.680126 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.680137 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.680143 3877644 net.cpp:382] data -> data I0909 12:04:26.680155 3877644 net.cpp:382] data -> data2 I0909 12:04:26.680205 3877644 net.cpp:124] Setting up data I0909 12:04:26.680233 3877644 net.cpp:131] Top shape: 3 (3) I0909 12:04:26.680258 3877644 net.cpp:131] Top shape: 3 (3) I0909 12:04:26.680279 3877644 net.cpp:139] Memory required for data: 24 I0909 12:04:26.680302 3877644 layer_factory.hpp:77] Creating layer silence_data I0909 12:04:26.680339 3877644 net.cpp:86] Creating Layer silence_data I0909 12:04:26.680364 3877644 net.cpp:408] silence_data <- data I0909 12:04:26.680390 3877644 net.cpp:124] Setting up silence_data I0909 12:04:26.680411 3877644 net.cpp:139] Memory required for data: 24 I0909 12:04:26.680433 3877644 layer_factory.hpp:77] Creating layer silence_data2 I0909 12:04:26.680456 3877644 net.cpp:86] Creating Layer silence_data2 I0909 12:04:26.680480 3877644 net.cpp:408] silence_data2 <- data2 I0909 12:04:26.680500 3877644 net.cpp:124] Setting up silence_data2 I0909 12:04:26.680522 3877644 net.cpp:139] Memory required for data: 24 I0909 12:04:26.680542 3877644 net.cpp:202] silence_data2 does not need backward computation. I0909 12:04:26.680564 3877644 net.cpp:202] silence_data does not need backward computation. I0909 12:04:26.680586 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.680610 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.681149 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpgl_pk30i I0909 12:04:26.681170 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.681176 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.681196 3877644 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" } } I0909 12:04:26.681301 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.681318 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.681326 3877644 net.cpp:382] input -> data I0909 12:04:26.681337 3877644 net.cpp:124] Setting up input I0909 12:04:26.681340 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.681344 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.681346 3877644 layer_factory.hpp:77] Creating layer one I0909 12:04:26.681403 3877644 net.cpp:86] Creating Layer one I0909 12:04:26.681408 3877644 net.cpp:408] one <- data I0909 12:04:26.681412 3877644 net.cpp:382] one -> one I0909 12:04:26.681454 3877644 net.cpp:124] Setting up one I0909 12:04:26.681458 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.681463 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.681464 3877644 layer_factory.hpp:77] Creating layer two I0909 12:04:26.681483 3877644 net.cpp:86] Creating Layer two I0909 12:04:26.681485 3877644 net.cpp:408] two <- one I0909 12:04:26.681489 3877644 net.cpp:382] two -> two I0909 12:04:26.681505 3877644 net.cpp:124] Setting up two I0909 12:04:26.681509 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.681512 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.681514 3877644 layer_factory.hpp:77] Creating layer three I0909 12:04:26.681527 3877644 net.cpp:86] Creating Layer three I0909 12:04:26.681531 3877644 net.cpp:408] three <- two I0909 12:04:26.681535 3877644 net.cpp:382] three -> three I0909 12:04:26.681548 3877644 net.cpp:124] Setting up three I0909 12:04:26.681551 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.681555 3877644 net.cpp:139] Memory required for data: 11520 I0909 12:04:26.681557 3877644 net.cpp:202] three does not need backward computation. I0909 12:04:26.681560 3877644 net.cpp:202] two does not need backward computation. I0909 12:04:26.681563 3877644 net.cpp:202] one does not need backward computation. I0909 12:04:26.681566 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.681568 3877644 net.cpp:244] This network produces output three I0909 12:04:26.681573 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.684154 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpg_s9_yeg I0909 12:04:26.684172 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.684178 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.684196 3877644 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" } } I0909 12:04:26.684298 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.684346 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.684388 3877644 net.cpp:382] input -> data I0909 12:04:26.684408 3877644 net.cpp:124] Setting up input I0909 12:04:26.684414 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.684420 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.684424 3877644 layer_factory.hpp:77] Creating layer one I0909 12:04:26.684465 3877644 net.cpp:86] Creating Layer one I0909 12:04:26.684497 3877644 net.cpp:408] one <- data I0909 12:04:26.684523 3877644 net.cpp:382] one -> one I0909 12:04:26.684582 3877644 net.cpp:124] Setting up one I0909 12:04:26.684621 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.684648 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.684672 3877644 layer_factory.hpp:77] Creating layer two I0909 12:04:26.684724 3877644 net.cpp:86] Creating Layer two I0909 12:04:26.684737 3877644 net.cpp:408] two <- one I0909 12:04:26.684746 3877644 net.cpp:382] two -> two I0909 12:04:26.684782 3877644 net.cpp:124] Setting up two I0909 12:04:26.684818 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.684845 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.684866 3877644 layer_factory.hpp:77] Creating layer three I0909 12:04:26.684922 3877644 net.cpp:86] Creating Layer three I0909 12:04:26.684963 3877644 net.cpp:408] three <- two I0909 12:04:26.684993 3877644 net.cpp:382] three -> three I0909 12:04:26.685055 3877644 net.cpp:124] Setting up three I0909 12:04:26.685070 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.685076 3877644 net.cpp:139] Memory required for data: 11520 I0909 12:04:26.685081 3877644 net.cpp:202] three does not need backward computation. I0909 12:04:26.685087 3877644 net.cpp:202] two does not need backward computation. I0909 12:04:26.685091 3877644 net.cpp:202] one does not need backward computation. I0909 12:04:26.685097 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.685127 3877644 net.cpp:244] This network produces output three I0909 12:04:26.685153 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.685504 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpuql4bcbi I0909 12:04:26.685523 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.685528 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.685542 3877644 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" } } I0909 12:04:26.685622 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.685639 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.685647 3877644 net.cpp:382] input -> data I0909 12:04:26.685658 3877644 net.cpp:124] Setting up input I0909 12:04:26.685663 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.685669 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.685674 3877644 layer_factory.hpp:77] Creating layer layer I0909 12:04:26.685717 3877644 net.cpp:86] Creating Layer layer I0909 12:04:26.685753 3877644 net.cpp:408] layer <- data I0909 12:04:26.685781 3877644 net.cpp:382] layer -> top .I0909 12:04:26.686328 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpb1qvjvwp I0909 12:04:26.686347 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.686352 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.686370 3877644 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" } } I0909 12:04:26.686472 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.686520 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.686568 3877644 net.cpp:382] input -> data I0909 12:04:26.686628 3877644 net.cpp:124] Setting up input I0909 12:04:26.686666 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.686705 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.686715 3877644 layer_factory.hpp:77] Creating layer one I0909 12:04:26.686753 3877644 net.cpp:86] Creating Layer one I0909 12:04:26.686761 3877644 net.cpp:408] one <- data I0909 12:04:26.686769 3877644 net.cpp:382] one -> one I0909 12:04:26.686811 3877644 net.cpp:124] Setting up one I0909 12:04:26.686849 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.686875 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.686897 3877644 layer_factory.hpp:77] Creating layer two I0909 12:04:26.686941 3877644 net.cpp:86] Creating Layer two I0909 12:04:26.686978 3877644 net.cpp:408] two <- one I0909 12:04:26.687019 3877644 net.cpp:382] two -> two I0909 12:04:26.687084 3877644 net.cpp:124] Setting up two I0909 12:04:26.687119 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.687129 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.687134 3877644 layer_factory.hpp:77] Creating layer three I0909 12:04:26.687163 3877644 net.cpp:86] Creating Layer three I0909 12:04:26.687170 3877644 net.cpp:408] three <- two I0909 12:04:26.687176 3877644 net.cpp:382] three -> three I0909 12:04:26.687208 3877644 net.cpp:124] Setting up three I0909 12:04:26.687215 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.687249 3877644 net.cpp:139] Memory required for data: 11520 I0909 12:04:26.687271 3877644 net.cpp:202] three does not need backward computation. I0909 12:04:26.687294 3877644 net.cpp:202] two does not need backward computation. I0909 12:04:26.687316 3877644 net.cpp:202] one does not need backward computation. I0909 12:04:26.687338 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.687359 3877644 net.cpp:244] This network produces output three I0909 12:04:26.687383 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.689846 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpcki35cpa I0909 12:04:26.689864 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.689870 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.689888 3877644 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" } } I0909 12:04:26.689994 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.690039 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.690079 3877644 net.cpp:382] input -> data I0909 12:04:26.690114 3877644 net.cpp:124] Setting up input I0909 12:04:26.690124 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.690131 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.690136 3877644 layer_factory.hpp:77] Creating layer one I0909 12:04:26.690171 3877644 net.cpp:86] Creating Layer one I0909 12:04:26.690204 3877644 net.cpp:408] one <- data I0909 12:04:26.690232 3877644 net.cpp:382] one -> one I0909 12:04:26.690292 3877644 net.cpp:124] Setting up one I0909 12:04:26.690335 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.690362 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.690385 3877644 layer_factory.hpp:77] Creating layer two I0909 12:04:26.690424 3877644 net.cpp:86] Creating Layer two I0909 12:04:26.690433 3877644 net.cpp:408] two <- one I0909 12:04:26.690439 3877644 net.cpp:382] two -> two I0909 12:04:26.690477 3877644 net.cpp:124] Setting up two I0909 12:04:26.690512 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.690539 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.690590 3877644 layer_factory.hpp:77] Creating layer three I0909 12:04:26.690649 3877644 net.cpp:86] Creating Layer three I0909 12:04:26.690686 3877644 net.cpp:408] three <- two I0909 12:04:26.690717 3877644 net.cpp:382] three -> three I0909 12:04:26.690779 3877644 net.cpp:124] Setting up three I0909 12:04:26.690793 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.690798 3877644 net.cpp:139] Memory required for data: 11520 I0909 12:04:26.690804 3877644 net.cpp:202] three does not need backward computation. I0909 12:04:26.690809 3877644 net.cpp:202] two does not need backward computation. I0909 12:04:26.690814 3877644 net.cpp:202] one does not need backward computation. I0909 12:04:26.690819 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.690848 3877644 net.cpp:244] This network produces output three I0909 12:04:26.690861 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.691195 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpd2w9g5ug I0909 12:04:26.691211 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.691217 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.691231 3877644 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" } } I0909 12:04:26.691313 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.691345 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.691373 3877644 net.cpp:382] input -> data I0909 12:04:26.691406 3877644 net.cpp:124] Setting up input I0909 12:04:26.691431 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.691457 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.691479 3877644 layer_factory.hpp:77] Creating layer layer I0909 12:04:26.691533 3877644 net.cpp:86] Creating Layer layer I0909 12:04:26.691550 3877644 net.cpp:408] layer <- data I0909 12:04:26.691557 3877644 net.cpp:382] layer -> top I0909 12:04:26.691622 3877644 net.cpp:124] Setting up layer I0909 12:04:26.691669 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.691700 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.691727 3877644 net.cpp:202] layer does not need backward computation. I0909 12:04:26.691753 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.691776 3877644 net.cpp:244] This network produces output top I0909 12:04:26.691787 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.692379 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpd2w9g5ug I0909 12:04:26.692396 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.692402 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.692416 3877644 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" } } I0909 12:04:26.692518 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.692600 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.692621 3877644 net.cpp:382] input -> data I0909 12:04:26.692636 3877644 net.cpp:124] Setting up input I0909 12:04:26.692641 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.692646 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.692652 3877644 layer_factory.hpp:77] Creating layer layer I0909 12:04:26.692700 3877644 net.cpp:86] Creating Layer layer I0909 12:04:26.692709 3877644 net.cpp:408] layer <- data I0909 12:04:26.692718 3877644 net.cpp:382] layer -> top I0909 12:04:26.692767 3877644 net.cpp:124] Setting up layer I0909 12:04:26.692777 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.692785 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.692793 3877644 net.cpp:202] layer does not need backward computation. I0909 12:04:26.692798 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.692803 3877644 net.cpp:244] This network produces output top I0909 12:04:26.692811 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.693341 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpj6nuefdr I0909 12:04:26.693359 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.693365 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.693383 3877644 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" } } I0909 12:04:26.693485 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.693531 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.693572 3877644 net.cpp:382] input -> data I0909 12:04:26.693593 3877644 net.cpp:124] Setting up input I0909 12:04:26.693599 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.693605 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.693609 3877644 layer_factory.hpp:77] Creating layer one I0909 12:04:26.693643 3877644 net.cpp:86] Creating Layer one I0909 12:04:26.693688 3877644 net.cpp:408] one <- data I0909 12:04:26.693719 3877644 net.cpp:382] one -> one I0909 12:04:26.693786 3877644 net.cpp:124] Setting up one I0909 12:04:26.693799 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.693807 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.693811 3877644 layer_factory.hpp:77] Creating layer two I0909 12:04:26.693840 3877644 net.cpp:86] Creating Layer two I0909 12:04:26.693876 3877644 net.cpp:408] two <- one I0909 12:04:26.693903 3877644 net.cpp:382] two -> two I0909 12:04:26.693958 3877644 net.cpp:124] Setting up two I0909 12:04:26.693996 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.694023 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.694046 3877644 layer_factory.hpp:77] Creating layer three I0909 12:04:26.694095 3877644 net.cpp:86] Creating Layer three I0909 12:04:26.694130 3877644 net.cpp:408] three <- two I0909 12:04:26.694170 3877644 net.cpp:382] three -> three I0909 12:04:26.694234 3877644 net.cpp:124] Setting up three I0909 12:04:26.694244 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.694250 3877644 net.cpp:139] Memory required for data: 11520 I0909 12:04:26.694254 3877644 net.cpp:202] three does not need backward computation. I0909 12:04:26.694260 3877644 net.cpp:202] two does not need backward computation. I0909 12:04:26.694265 3877644 net.cpp:202] one does not need backward computation. I0909 12:04:26.694270 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.694274 3877644 net.cpp:244] This network produces output three I0909 12:04:26.694283 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.694695 3877644 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" } } I0909 12:04:26.694732 3877644 layer_factory.hpp:77] Creating layer layer I0909 12:04:26.694767 3877644 net.cpp:86] Creating Layer layer I0909 12:04:26.694784 3877644 net.cpp:382] layer -> phase I0909 12:04:26.694816 3877644 net.cpp:124] Setting up layer I0909 12:04:26.694823 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.694828 3877644 net.cpp:139] Memory required for data: 4 I0909 12:04:26.694833 3877644 net.cpp:202] layer does not need backward computation. I0909 12:04:26.694839 3877644 net.cpp:244] This network produces output phase I0909 12:04:26.694844 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.695037 3877644 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" } } I0909 12:04:26.695073 3877644 layer_factory.hpp:77] Creating layer layer I0909 12:04:26.695103 3877644 net.cpp:86] Creating Layer layer I0909 12:04:26.695145 3877644 net.cpp:382] layer -> phase I0909 12:04:26.695199 3877644 net.cpp:124] Setting up layer I0909 12:04:26.695237 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.695277 3877644 net.cpp:139] Memory required for data: 4 I0909 12:04:26.695302 3877644 net.cpp:202] layer does not need backward computation. I0909 12:04:26.695310 3877644 net.cpp:244] This network produces output phase I0909 12:04:26.695317 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.695824 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpad52ny_0 I0909 12:04:26.695842 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.695848 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.695865 3877644 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" } } I0909 12:04:26.695967 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.696012 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.696053 3877644 net.cpp:382] input -> data I0909 12:04:26.696087 3877644 net.cpp:124] Setting up input I0909 12:04:26.696113 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.696125 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.696130 3877644 layer_factory.hpp:77] Creating layer one I0909 12:04:26.696164 3877644 net.cpp:86] Creating Layer one I0909 12:04:26.696172 3877644 net.cpp:408] one <- data I0909 12:04:26.696180 3877644 net.cpp:382] one -> one I0909 12:04:26.696245 3877644 net.cpp:124] Setting up one I0909 12:04:26.696261 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.696267 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.696272 3877644 layer_factory.hpp:77] Creating layer two I0909 12:04:26.696300 3877644 net.cpp:86] Creating Layer two I0909 12:04:26.696334 3877644 net.cpp:408] two <- one I0909 12:04:26.696360 3877644 net.cpp:382] two -> two I0909 12:04:26.696414 3877644 net.cpp:124] Setting up two I0909 12:04:26.696445 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.696470 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.696491 3877644 layer_factory.hpp:77] Creating layer three I0909 12:04:26.696532 3877644 net.cpp:86] Creating Layer three I0909 12:04:26.696560 3877644 net.cpp:408] three <- two I0909 12:04:26.696586 3877644 net.cpp:382] three -> three I0909 12:04:26.696622 3877644 net.cpp:124] Setting up three I0909 12:04:26.696630 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.696658 3877644 net.cpp:139] Memory required for data: 11520 I0909 12:04:26.696679 3877644 net.cpp:202] three does not need backward computation. I0909 12:04:26.696703 3877644 net.cpp:202] two does not need backward computation. I0909 12:04:26.696727 3877644 net.cpp:202] one does not need backward computation. I0909 12:04:26.696748 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.696769 3877644 net.cpp:244] This network produces output three I0909 12:04:26.696781 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.697450 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpho3qazx3 I0909 12:04:26.697469 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.697475 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.697492 3877644 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" } } I0909 12:04:26.697585 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.697619 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.697645 3877644 net.cpp:382] input -> data I0909 12:04:26.697677 3877644 net.cpp:124] Setting up input I0909 12:04:26.697702 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.697726 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.697749 3877644 layer_factory.hpp:77] Creating layer mul10 I0909 12:04:26.697813 3877644 net.cpp:86] Creating Layer mul10 I0909 12:04:26.697855 3877644 net.cpp:408] mul10 <- data I0909 12:04:26.697886 3877644 net.cpp:382] mul10 -> mul10 I0909 12:04:26.697975 3877644 net.cpp:124] Setting up mul10 I0909 12:04:26.697988 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.697995 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.697999 3877644 layer_factory.hpp:77] Creating layer mul2 I0909 12:04:26.698030 3877644 net.cpp:86] Creating Layer mul2 I0909 12:04:26.698065 3877644 net.cpp:408] mul2 <- mul10 I0909 12:04:26.698078 3877644 net.cpp:382] mul2 -> mul2 I0909 12:04:26.698117 3877644 net.cpp:124] Setting up mul2 I0909 12:04:26.698125 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.698130 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.698135 3877644 net.cpp:202] mul2 does not need backward computation. I0909 12:04:26.698140 3877644 net.cpp:202] mul10 does not need backward computation. I0909 12:04:26.698145 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.698150 3877644 net.cpp:244] This network produces output mul2 I0909 12:04:26.698158 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.700599 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp_n7l5xij I0909 12:04:26.700618 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W0909 12:04:26.700623 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I0909 12:04:26.700640 3877644 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" } } I0909 12:04:26.700738 3877644 layer_factory.hpp:77] Creating layer input I0909 12:04:26.700774 3877644 net.cpp:86] Creating Layer input I0909 12:04:26.700803 3877644 net.cpp:382] input -> data I0909 12:04:26.700835 3877644 net.cpp:124] Setting up input I0909 12:04:26.700860 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.700886 3877644 net.cpp:139] Memory required for data: 2880 I0909 12:04:26.700906 3877644 layer_factory.hpp:77] Creating layer mul10 I0909 12:04:26.700958 3877644 net.cpp:86] Creating Layer mul10 I0909 12:04:26.700999 3877644 net.cpp:408] mul10 <- data I0909 12:04:26.701030 3877644 net.cpp:382] mul10 -> mul10 I0909 12:04:26.701100 3877644 net.cpp:124] Setting up mul10 I0909 12:04:26.701114 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.701121 3877644 net.cpp:139] Memory required for data: 5760 I0909 12:04:26.701125 3877644 layer_factory.hpp:77] Creating layer mul2 I0909 12:04:26.701155 3877644 net.cpp:86] Creating Layer mul2 I0909 12:04:26.701191 3877644 net.cpp:408] mul2 <- mul10 I0909 12:04:26.701206 3877644 net.cpp:382] mul2 -> mul2 I0909 12:04:26.701246 3877644 net.cpp:124] Setting up mul2 I0909 12:04:26.701252 3877644 net.cpp:131] Top shape: 10 9 8 (720) I0909 12:04:26.701258 3877644 net.cpp:139] Memory required for data: 8640 I0909 12:04:26.701262 3877644 net.cpp:202] mul2 does not need backward computation. I0909 12:04:26.701267 3877644 net.cpp:202] mul10 does not need backward computation. I0909 12:04:26.701269 3877644 net.cpp:202] input does not need backward computation. I0909 12:04:26.701272 3877644 net.cpp:244] This network produces output mul2 I0909 12:04:26.701275 3877644 net.cpp:257] Network initialization done. .I0909 12:04:26.703869 3877644 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/tmp4n9vw_l3" snapshot_after_train: false I0909 12:04:26.703917 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmp4n9vw_l3 I0909 12:04:26.704042 3877644 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" } I0909 12:04:26.704121 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.704133 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.704141 3877644 net.cpp:382] data -> data I0909 12:04:26.704154 3877644 net.cpp:382] data -> label I0909 12:04:26.704202 3877644 net.cpp:124] Setting up data I0909 12:04:26.704231 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.704257 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.704280 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.704301 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.704334 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.704360 3877644 net.cpp:408] conv <- data I0909 12:04:26.704385 3877644 net.cpp:382] conv -> conv I0909 12:04:26.704435 3877644 net.cpp:124] Setting up conv I0909 12:04:26.704471 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.704497 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.704528 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.704558 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.704583 3877644 net.cpp:408] ip <- conv I0909 12:04:26.704612 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.704751 3877644 net.cpp:124] Setting up ip I0909 12:04:26.704762 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.704768 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.704777 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.704784 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.704789 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.704795 3877644 net.cpp:408] loss <- label I0909 12:04:26.704830 3877644 net.cpp:382] loss -> loss I0909 12:04:26.704861 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.704897 3877644 net.cpp:124] Setting up loss I0909 12:04:26.704923 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.704946 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.704975 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.704998 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.705021 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.705042 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.705067 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.705091 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.705116 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.705255 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp4n9vw_l3 I0909 12:04:26.705283 3877644 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" } I0909 12:04:26.705436 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.705456 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.705464 3877644 net.cpp:382] data -> data I0909 12:04:26.705476 3877644 net.cpp:382] data -> label I0909 12:04:26.705518 3877644 net.cpp:124] Setting up data I0909 12:04:26.705544 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.705569 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.705592 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.705613 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.705642 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.705667 3877644 net.cpp:408] conv <- data I0909 12:04:26.705691 3877644 net.cpp:382] conv -> conv I0909 12:04:26.705739 3877644 net.cpp:124] Setting up conv I0909 12:04:26.705773 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.705799 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.705827 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.705857 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.705880 3877644 net.cpp:408] ip <- conv I0909 12:04:26.705905 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.706060 3877644 net.cpp:124] Setting up ip I0909 12:04:26.706072 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.706080 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.706089 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.706095 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.706100 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.706105 3877644 net.cpp:408] loss <- label I0909 12:04:26.706142 3877644 net.cpp:382] loss -> loss I0909 12:04:26.706173 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.706207 3877644 net.cpp:124] Setting up loss I0909 12:04:26.706233 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.706254 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.706283 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.706303 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.706326 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.706347 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.706372 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.706391 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.706415 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.706455 3877644 solver.cpp:57] Solver scaffolding done. I0909 12:04:26.706598 3877644 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/tmp4n9vw_l3" snapshot_after_train: false I0909 12:04:26.706641 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmp4n9vw_l3 I0909 12:04:26.706768 3877644 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" } I0909 12:04:26.706866 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.706883 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.706924 3877644 net.cpp:382] data -> data I0909 12:04:26.706956 3877644 net.cpp:382] data -> label I0909 12:04:26.706990 3877644 net.cpp:124] Setting up data I0909 12:04:26.707015 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.707041 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.707064 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.707085 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.707118 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.707140 3877644 net.cpp:408] conv <- data I0909 12:04:26.707167 3877644 net.cpp:382] conv -> conv I0909 12:04:26.707227 3877644 net.cpp:124] Setting up conv I0909 12:04:26.707239 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.707247 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.707255 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.707264 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.707296 3877644 net.cpp:408] ip <- conv I0909 12:04:26.707322 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.707500 3877644 net.cpp:124] Setting up ip I0909 12:04:26.707511 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.707518 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.707526 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.707535 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.707564 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.707587 3877644 net.cpp:408] loss <- label I0909 12:04:26.707609 3877644 net.cpp:382] loss -> loss I0909 12:04:26.707640 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.707695 3877644 net.cpp:124] Setting up loss I0909 12:04:26.707710 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.707716 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.707726 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.707731 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.707741 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.707747 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.707794 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.707823 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.707854 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.708005 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp4n9vw_l3 I0909 12:04:26.708040 3877644 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" } I0909 12:04:26.708144 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.708189 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.708225 3877644 net.cpp:382] data -> data I0909 12:04:26.708269 3877644 net.cpp:382] data -> label I0909 12:04:26.708305 3877644 net.cpp:124] Setting up data I0909 12:04:26.708351 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.708365 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.708371 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.708376 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.708387 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.708391 3877644 net.cpp:408] conv <- data I0909 12:04:26.708396 3877644 net.cpp:382] conv -> conv I0909 12:04:26.708415 3877644 net.cpp:124] Setting up conv I0909 12:04:26.708417 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.708420 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.708426 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.708431 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.708434 3877644 net.cpp:408] ip <- conv I0909 12:04:26.708438 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.708535 3877644 net.cpp:124] Setting up ip I0909 12:04:26.708539 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.708541 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.708545 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.708555 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.708559 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.708561 3877644 net.cpp:408] loss <- label I0909 12:04:26.708564 3877644 net.cpp:382] loss -> loss I0909 12:04:26.708570 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.708578 3877644 net.cpp:124] Setting up loss I0909 12:04:26.708580 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.708583 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.708590 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.708592 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.708595 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.708598 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.708601 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.708603 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.708608 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.708621 3877644 solver.cpp:57] Solver scaffolding done. I0909 12:04:26.709028 3877644 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I0909 12:04:26.709587 3877644 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/tmpf2kfq9ox" snapshot_after_train: false I0909 12:04:26.709618 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpf2kfq9ox I0909 12:04:26.709694 3877644 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" } I0909 12:04:26.709751 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.709759 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.709764 3877644 net.cpp:382] data -> data I0909 12:04:26.709771 3877644 net.cpp:382] data -> label I0909 12:04:26.709782 3877644 net.cpp:124] Setting up data I0909 12:04:26.709785 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.709789 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.709793 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.709795 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.709801 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.709805 3877644 net.cpp:408] conv <- data I0909 12:04:26.709810 3877644 net.cpp:382] conv -> conv I0909 12:04:26.709826 3877644 net.cpp:124] Setting up conv I0909 12:04:26.709829 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.709833 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.709839 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.709843 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.709846 3877644 net.cpp:408] ip <- conv I0909 12:04:26.709851 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.709949 3877644 net.cpp:124] Setting up ip I0909 12:04:26.709950 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.709954 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.709959 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.709962 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.709965 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.709967 3877644 net.cpp:408] loss <- label I0909 12:04:26.709971 3877644 net.cpp:382] loss -> loss I0909 12:04:26.709976 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.709985 3877644 net.cpp:124] Setting up loss I0909 12:04:26.709987 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.709990 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.709996 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.709998 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.710001 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.710004 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.710007 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.710009 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.710014 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.710089 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf2kfq9ox I0909 12:04:26.710103 3877644 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" } I0909 12:04:26.710155 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.710162 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.710166 3877644 net.cpp:382] data -> data I0909 12:04:26.710172 3877644 net.cpp:382] data -> label I0909 12:04:26.710179 3877644 net.cpp:124] Setting up data I0909 12:04:26.710182 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.710186 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.710188 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.710191 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.710199 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.710202 3877644 net.cpp:408] conv <- data I0909 12:04:26.710207 3877644 net.cpp:382] conv -> conv I0909 12:04:26.710222 3877644 net.cpp:124] Setting up conv I0909 12:04:26.710224 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.710227 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.710232 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.710237 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.710239 3877644 net.cpp:408] ip <- conv I0909 12:04:26.710243 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.710340 3877644 net.cpp:124] Setting up ip I0909 12:04:26.710343 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.710346 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.710350 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.710354 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.710357 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.710361 3877644 net.cpp:408] loss <- label I0909 12:04:26.710363 3877644 net.cpp:382] loss -> loss I0909 12:04:26.710367 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.710376 3877644 net.cpp:124] Setting up loss I0909 12:04:26.710378 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.710381 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.710386 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.710388 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.710391 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.710393 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.710397 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.710399 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.710403 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.710413 3877644 solver.cpp:57] Solver scaffolding done. I0909 12:04:26.710465 3877644 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/tmpf2kfq9ox" snapshot_after_train: false I0909 12:04:26.710489 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpf2kfq9ox I0909 12:04:26.710582 3877644 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" } I0909 12:04:26.710681 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.710698 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.710706 3877644 net.cpp:382] data -> data I0909 12:04:26.710718 3877644 net.cpp:382] data -> label I0909 12:04:26.710736 3877644 net.cpp:124] Setting up data I0909 12:04:26.710743 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.710750 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.710757 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.710769 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.710780 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.710785 3877644 net.cpp:408] conv <- data I0909 12:04:26.710794 3877644 net.cpp:382] conv -> conv I0909 12:04:26.710822 3877644 net.cpp:124] Setting up conv I0909 12:04:26.710831 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.710837 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.710848 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.710858 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.710863 3877644 net.cpp:408] ip <- conv I0909 12:04:26.710871 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.710987 3877644 net.cpp:124] Setting up ip I0909 12:04:26.710996 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.711002 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.711010 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.711017 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.711022 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.711064 3877644 net.cpp:408] loss <- label I0909 12:04:26.711091 3877644 net.cpp:382] loss -> loss I0909 12:04:26.711122 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.711154 3877644 net.cpp:124] Setting up loss I0909 12:04:26.711180 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.711205 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.711231 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.711253 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.711275 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.711297 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.711319 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.711340 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.711364 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.711498 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf2kfq9ox I0909 12:04:26.711527 3877644 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" } I0909 12:04:26.711664 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.711714 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.711742 3877644 net.cpp:382] data -> data I0909 12:04:26.711761 3877644 net.cpp:382] data -> label I0909 12:04:26.711774 3877644 net.cpp:124] Setting up data I0909 12:04:26.711779 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.711786 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.711791 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.711795 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.711807 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.711812 3877644 net.cpp:408] conv <- data I0909 12:04:26.711844 3877644 net.cpp:382] conv -> conv I0909 12:04:26.711890 3877644 net.cpp:124] Setting up conv I0909 12:04:26.711925 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.711939 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.711951 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.711962 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.711967 3877644 net.cpp:408] ip <- conv I0909 12:04:26.711975 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.712133 3877644 net.cpp:124] Setting up ip I0909 12:04:26.712144 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.712152 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.712159 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.712167 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.712172 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.712178 3877644 net.cpp:408] loss <- label I0909 12:04:26.712214 3877644 net.cpp:382] loss -> loss I0909 12:04:26.712245 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.712280 3877644 net.cpp:124] Setting up loss I0909 12:04:26.712303 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.712325 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.712339 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.712343 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.712349 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.712354 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.712359 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.712363 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.712370 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.712393 3877644 solver.cpp:57] Solver scaffolding done. .I0909 12:04:26.713820 3877644 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/tmppp9tuuor" snapshot_after_train: false I0909 12:04:26.713860 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmppp9tuuor I0909 12:04:26.713984 3877644 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" } I0909 12:04:26.714063 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.714076 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.714118 3877644 net.cpp:382] data -> data I0909 12:04:26.714154 3877644 net.cpp:382] data -> label I0909 12:04:26.714191 3877644 net.cpp:124] Setting up data I0909 12:04:26.714219 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.714231 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.714236 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.714241 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.714254 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.714259 3877644 net.cpp:408] conv <- data I0909 12:04:26.714268 3877644 net.cpp:382] conv -> conv I0909 12:04:26.714298 3877644 net.cpp:124] Setting up conv I0909 12:04:26.714346 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.714373 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.714401 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.714430 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.714455 3877644 net.cpp:408] ip <- conv I0909 12:04:26.714468 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.714636 3877644 net.cpp:124] Setting up ip I0909 12:04:26.714648 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.714655 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.714663 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.714672 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.714676 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.714682 3877644 net.cpp:408] loss <- label I0909 12:04:26.714690 3877644 net.cpp:382] loss -> loss I0909 12:04:26.714731 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.714769 3877644 net.cpp:124] Setting up loss I0909 12:04:26.714792 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.714816 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.714844 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.714869 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.714892 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.714900 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.714906 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.714911 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.714920 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.715054 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppp9tuuor I0909 12:04:26.715085 3877644 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" } I0909 12:04:26.715191 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.715235 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.715265 3877644 net.cpp:382] data -> data I0909 12:04:26.715298 3877644 net.cpp:382] data -> label I0909 12:04:26.715348 3877644 net.cpp:124] Setting up data I0909 12:04:26.715361 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.715368 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.715374 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.715421 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.715456 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.715482 3877644 net.cpp:408] conv <- data I0909 12:04:26.715509 3877644 net.cpp:382] conv -> conv I0909 12:04:26.715556 3877644 net.cpp:124] Setting up conv I0909 12:04:26.715585 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.715611 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.715641 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.715668 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.715692 3877644 net.cpp:408] ip <- conv I0909 12:04:26.715730 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.715909 3877644 net.cpp:124] Setting up ip I0909 12:04:26.715924 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.715930 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.715939 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.715947 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.715953 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.715991 3877644 net.cpp:408] loss <- label I0909 12:04:26.716017 3877644 net.cpp:382] loss -> loss I0909 12:04:26.716034 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.716049 3877644 net.cpp:124] Setting up loss I0909 12:04:26.716054 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.716059 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.716069 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.716074 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.716079 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.716107 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.716133 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.716154 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.716178 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.716218 3877644 solver.cpp:57] Solver scaffolding done. I0909 12:04:26.716332 3877644 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/tmppp9tuuor" snapshot_after_train: false I0909 12:04:26.716377 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmppp9tuuor I0909 12:04:26.716497 3877644 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" } I0909 12:04:26.716593 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.716636 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.716666 3877644 net.cpp:382] data -> data I0909 12:04:26.716697 3877644 net.cpp:382] data -> label I0909 12:04:26.716732 3877644 net.cpp:124] Setting up data I0909 12:04:26.716764 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.716784 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.716789 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.716794 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.716809 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.716813 3877644 net.cpp:408] conv <- data I0909 12:04:26.716822 3877644 net.cpp:382] conv -> conv I0909 12:04:26.716850 3877644 net.cpp:124] Setting up conv I0909 12:04:26.716856 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.716867 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.716876 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.716884 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.716888 3877644 net.cpp:408] ip <- conv I0909 12:04:26.716894 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.717038 3877644 net.cpp:124] Setting up ip I0909 12:04:26.717042 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.717046 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.717051 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.717056 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.717058 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.717061 3877644 net.cpp:408] loss <- label I0909 12:04:26.717065 3877644 net.cpp:382] loss -> loss I0909 12:04:26.717072 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.717079 3877644 net.cpp:124] Setting up loss I0909 12:04:26.717082 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.717084 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.717092 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.717094 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.717097 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.717099 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.717103 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.717105 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.717109 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.717201 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppp9tuuor I0909 12:04:26.717216 3877644 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" } I0909 12:04:26.717273 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.717279 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.717283 3877644 net.cpp:382] data -> data I0909 12:04:26.717289 3877644 net.cpp:382] data -> label I0909 12:04:26.717296 3877644 net.cpp:124] Setting up data I0909 12:04:26.717299 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.717303 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.717306 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.717308 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.717314 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.717316 3877644 net.cpp:408] conv <- data I0909 12:04:26.717321 3877644 net.cpp:382] conv -> conv I0909 12:04:26.717334 3877644 net.cpp:124] Setting up conv I0909 12:04:26.717337 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.717340 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.717345 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.717350 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.717352 3877644 net.cpp:408] ip <- conv I0909 12:04:26.717356 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.717453 3877644 net.cpp:124] Setting up ip I0909 12:04:26.717456 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.717460 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.717464 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.717468 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.717471 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.717474 3877644 net.cpp:408] loss <- label I0909 12:04:26.717478 3877644 net.cpp:382] loss -> loss I0909 12:04:26.717482 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.717490 3877644 net.cpp:124] Setting up loss I0909 12:04:26.717499 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.717501 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.717506 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.717509 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.717512 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.717515 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.717518 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.717521 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.717525 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.717535 3877644 solver.cpp:57] Solver scaffolding done. I0909 12:04:26.717885 3877644 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I0909 12:04:26.718137 3877644 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I0909 12:04:26.718924 3877644 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/tmpcz_rw1py" snapshot_after_train: false I0909 12:04:26.718966 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpcz_rw1py I0909 12:04:26.719087 3877644 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" } I0909 12:04:26.719169 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.719218 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.719249 3877644 net.cpp:382] data -> data I0909 12:04:26.719281 3877644 net.cpp:382] data -> label I0909 12:04:26.719316 3877644 net.cpp:124] Setting up data I0909 12:04:26.719341 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.719367 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.719389 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.719410 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.719440 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.719465 3877644 net.cpp:408] conv <- data I0909 12:04:26.719491 3877644 net.cpp:382] conv -> conv I0909 12:04:26.719542 3877644 net.cpp:124] Setting up conv I0909 12:04:26.719578 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.719617 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.719650 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.719666 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.719671 3877644 net.cpp:408] ip <- conv I0909 12:04:26.719681 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.719843 3877644 net.cpp:124] Setting up ip I0909 12:04:26.719858 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.719863 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.719873 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.719882 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.719920 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.719944 3877644 net.cpp:408] loss <- label I0909 12:04:26.719970 3877644 net.cpp:382] loss -> loss I0909 12:04:26.720000 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.720036 3877644 net.cpp:124] Setting up loss I0909 12:04:26.720062 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.720086 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.720116 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.720140 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.720162 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.720183 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.720206 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.720227 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.720253 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.720404 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpcz_rw1py I0909 12:04:26.720435 3877644 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" } I0909 12:04:26.720541 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.720585 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.720618 3877644 net.cpp:382] data -> data I0909 12:04:26.720649 3877644 net.cpp:382] data -> label I0909 12:04:26.720687 3877644 net.cpp:124] Setting up data I0909 12:04:26.720718 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.720758 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.720781 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.720791 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.720806 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.720813 3877644 net.cpp:408] conv <- data I0909 12:04:26.720821 3877644 net.cpp:382] conv -> conv I0909 12:04:26.720851 3877644 net.cpp:124] Setting up conv I0909 12:04:26.720857 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.720863 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.720875 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.720906 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.720929 3877644 net.cpp:408] ip <- conv I0909 12:04:26.720954 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.721100 3877644 net.cpp:124] Setting up ip I0909 12:04:26.721112 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.721119 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.721127 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.721135 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.721140 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.721145 3877644 net.cpp:408] loss <- label I0909 12:04:26.721153 3877644 net.cpp:382] loss -> loss I0909 12:04:26.721161 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.721176 3877644 net.cpp:124] Setting up loss I0909 12:04:26.721210 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.721233 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.721261 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.721282 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.721304 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.721326 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.721349 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.721371 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.721395 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.721431 3877644 solver.cpp:57] Solver scaffolding done. I0909 12:04:26.721551 3877644 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/tmpcz_rw1py" snapshot_after_train: false I0909 12:04:26.721589 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpcz_rw1py I0909 12:04:26.721711 3877644 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" } I0909 12:04:26.721796 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.721838 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.721869 3877644 net.cpp:382] data -> data I0909 12:04:26.721900 3877644 net.cpp:382] data -> label I0909 12:04:26.721920 3877644 net.cpp:124] Setting up data I0909 12:04:26.721925 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.721931 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.721936 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.721941 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.721951 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.721956 3877644 net.cpp:408] conv <- data I0909 12:04:26.721964 3877644 net.cpp:382] conv -> conv I0909 12:04:26.722014 3877644 net.cpp:124] Setting up conv I0909 12:04:26.722052 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.722090 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.722107 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.722118 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.722123 3877644 net.cpp:408] ip <- conv I0909 12:04:26.722131 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.722294 3877644 net.cpp:124] Setting up ip I0909 12:04:26.722307 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.722313 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.722322 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.722330 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.722373 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.722399 3877644 net.cpp:408] loss <- label I0909 12:04:26.722426 3877644 net.cpp:382] loss -> loss I0909 12:04:26.722453 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.722486 3877644 net.cpp:124] Setting up loss I0909 12:04:26.722508 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.722532 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.722585 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.722615 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.722638 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.722661 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.722683 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.722703 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.722714 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.722859 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpcz_rw1py I0909 12:04:26.722890 3877644 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" } I0909 12:04:26.722994 3877644 layer_factory.hpp:77] Creating layer data I0909 12:04:26.723042 3877644 net.cpp:86] Creating Layer data I0909 12:04:26.723073 3877644 net.cpp:382] data -> data I0909 12:04:26.723105 3877644 net.cpp:382] data -> label I0909 12:04:26.723141 3877644 net.cpp:124] Setting up data I0909 12:04:26.723172 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) I0909 12:04:26.723210 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) I0909 12:04:26.723235 3877644 net.cpp:139] Memory required for data: 500 I0909 12:04:26.723258 3877644 layer_factory.hpp:77] Creating layer conv I0909 12:04:26.723278 3877644 net.cpp:86] Creating Layer conv I0909 12:04:26.723284 3877644 net.cpp:408] conv <- data I0909 12:04:26.723292 3877644 net.cpp:382] conv -> conv I0909 12:04:26.723322 3877644 net.cpp:124] Setting up conv I0909 12:04:26.723328 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) I0909 12:04:26.723335 3877644 net.cpp:139] Memory required for data: 16340 I0909 12:04:26.723344 3877644 layer_factory.hpp:77] Creating layer ip I0909 12:04:26.723353 3877644 net.cpp:86] Creating Layer ip I0909 12:04:26.723380 3877644 net.cpp:408] ip <- conv I0909 12:04:26.723407 3877644 net.cpp:382] ip -> ip_blob I0909 12:04:26.723577 3877644 net.cpp:124] Setting up ip I0909 12:04:26.723589 3877644 net.cpp:131] Top shape: 5 13 (65) I0909 12:04:26.723595 3877644 net.cpp:139] Memory required for data: 16600 I0909 12:04:26.723604 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.723613 3877644 net.cpp:86] Creating Layer loss I0909 12:04:26.723616 3877644 net.cpp:408] loss <- ip_blob I0909 12:04:26.723623 3877644 net.cpp:408] loss <- label I0909 12:04:26.723629 3877644 net.cpp:382] loss -> loss I0909 12:04:26.723664 3877644 layer_factory.hpp:77] Creating layer loss I0909 12:04:26.723699 3877644 net.cpp:124] Setting up loss I0909 12:04:26.723739 3877644 net.cpp:131] Top shape: (1) I0909 12:04:26.723766 3877644 net.cpp:134] with loss weight 1 I0909 12:04:26.723794 3877644 net.cpp:139] Memory required for data: 16604 I0909 12:04:26.723816 3877644 net.cpp:200] loss needs backward computation. I0909 12:04:26.723839 3877644 net.cpp:200] ip needs backward computation. I0909 12:04:26.723862 3877644 net.cpp:200] conv needs backward computation. I0909 12:04:26.723884 3877644 net.cpp:202] data does not need backward computation. I0909 12:04:26.723905 3877644 net.cpp:244] This network produces output loss I0909 12:04:26.723930 3877644 net.cpp:257] Network initialization done. I0909 12:04:26.723970 3877644 solver.cpp:57] Solver scaffolding done. I0909 12:04:26.724432 3877644 solver.cpp:289] Solving testnet I0909 12:04:26.724448 3877644 solver.cpp:290] Learning Rate Policy: inv I0909 12:04:26.724472 3877644 solver.cpp:347] Iteration 0, Testing net (#0) I0909 12:04:26.725430 3877644 solver.cpp:414] Test net output #0: loss = 77.1126 (* 1 = 77.1126 loss) I0909 12:04:26.725993 3877644 solver.cpp:239] Iteration 0 (-1.76665e+25 iter/s, 0.001s/100 iters), loss = 69.8692 I0909 12:04:26.726017 3877644 solver.cpp:258] Train net output #0: loss = 69.8692 (* 1 = 69.8692 loss) I0909 12:04:26.726025 3877644 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I0909 12:04:26.730386 3877644 solver.cpp:347] Iteration 10, Testing net (#0) I0909 12:04:26.731359 3877644 solver.cpp:414] Test net output #0: loss = 65.3121 (* 1 = 65.3121 loss) I0909 12:04:26.735700 3877644 solver.cpp:347] Iteration 20, Testing net (#0) I0909 12:04:26.736649 3877644 solver.cpp:414] Test net output #0: loss = 68.6185 (* 1 = 68.6185 loss) I0909 12:04:26.740022 3877644 solver.cpp:347] Iteration 30, Testing net (#0) I0909 12:04:26.740998 3877644 solver.cpp:414] Test net output #0: loss = 81.5494 (* 1 = 81.5494 loss) I0909 12:04:26.744938 3877644 solver.cpp:347] Iteration 40, Testing net (#0) I0909 12:04:26.745880 3877644 solver.cpp:414] Test net output #0: loss = 75.8734 (* 1 = 75.8734 loss) I0909 12:04:26.750110 3877644 solver.cpp:347] Iteration 50, Testing net (#0) I0909 12:04:26.751068 3877644 solver.cpp:414] Test net output #0: loss = 72.8589 (* 1 = 72.8589 loss) I0909 12:04:26.754539 3877644 solver.cpp:347] Iteration 60, Testing net (#0) I0909 12:04:26.755491 3877644 solver.cpp:414] Test net output #0: loss = 72.5731 (* 1 = 72.5731 loss) I0909 12:04:26.759605 3877644 solver.cpp:347] Iteration 70, Testing net (#0) I0909 12:04:26.760558 3877644 solver.cpp:414] Test net output #0: loss = 77.5516 (* 1 = 77.5516 loss) I0909 12:04:26.764357 3877644 solver.cpp:347] Iteration 80, Testing net (#0) I0909 12:04:26.765301 3877644 solver.cpp:414] Test net output #0: loss = 69.3262 (* 1 = 69.3262 loss) I0909 12:04:26.769481 3877644 solver.cpp:347] Iteration 90, Testing net (#0) I0909 12:04:26.770424 3877644 solver.cpp:414] Test net output #0: loss = 78.6847 (* 1 = 78.6847 loss) I0909 12:04:26.775178 3877644 solver.cpp:327] Iteration 100, loss = 52.1721 I0909 12:04:26.775195 3877644 solver.cpp:347] Iteration 100, Testing net (#0) I0909 12:04:26.776131 3877644 solver.cpp:414] Test net output #0: loss = 71.4565 (* 1 = 71.4565 loss) I0909 12:04:26.776144 3877644 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 11.007s OK make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pytest make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' create-stamp debian/debhelper-build-stamp fakeroot debian/rules binary dh binary -Scmake --with python3,bash-completion dh_testroot -O-Scmake dh_prep -O-Scmake debian/rules override_dh_auto_install-arch make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install cd caffe_cpu_build && make -j42 install DESTDIR=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 preinstall make[3]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[3]: Nothing to be done for 'preinstall'. make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Install the project... /usr/bin/cmake -P cmake_install.cmake -- Install configuration: "Release" -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeConfig.cmake -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: 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Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/x86_64-linux-gnu/libcaffe.so -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/x86_64-linux-gnu/libcaffeproto.a -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/caffe -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/compute_image_mean -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_imageset -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/extract_features -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_net_proto_binary -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_net_proto_text -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/upgrade_solver_proto_text -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_cifar_data -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/classification -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_data -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_siamese_data -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/classify.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/detect.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/draw_net.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/requirements.txt -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/train.py -- Up-to-date: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/classifier.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__init__.py -- Up-to-date: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__ -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/pycaffe.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_install make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_install # The upstream unittest can be used to verify the BLAS correctness. # the two lines start with dash in order to avoid FTBFS on Arch=all. mv caffe_cpu_build/test/test.testbin caffe-gtest install -m0755 caffe-gtest debian/caffe/usr/bin/ dh_missing --list-missing make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_installdocs -O-Scmake dh_installchangelogs -O-Scmake dh_installexamples -O-Scmake dh_installman -O-Scmake dh_bash-completion -O-Scmake debian/rules override_dh_python3 make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_python3 --requires=python/requirements.txt I: dh_python3 fs:343: renaming _caffe.so to _caffe.cpython-39-x86_64-linux-gnu.so dh_numpy3 make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_installinit -O-Scmake dh_lintian -O-Scmake dh_perl -O-Scmake dh_link -O-Scmake dh_strip_nondeterminism -O-Scmake dh_compress -O-Scmake debian/rules override_dh_fixperms-arch make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_fixperms chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_fixperms -O-Scmake -Ncaffe -Nlibcaffe1 -Nlibcaffe-dev -Npython3-caffe dh_missing -O-Scmake dh_dwz -a -O-Scmake dh_strip -a -O-Scmake debian/rules override_dh_makeshlibs make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -a -O-Scmake dh_installdeb -O-Scmake dh_gencontrol -O-Scmake dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O-Scmake dh_builddeb -O-Scmake dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: 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/3823469 and its subdirectories I: Current time: Tue Sep 9 12:05:21 -12 2025 I: pbuilder-time-stamp: 1757462721