Input buildinfo: https://buildinfos.debian.net/buildinfo-pool/c/caffe/caffe_1.0.0+git20180821.99bd997-8+b2_amd64.buildinfo Use metasnap for getting required timestamps New buildinfo file: /tmp/caffe-1.0.0+git20180821.99bd997-8+b25yxdzfq3/caffe_1.0.0+git20180821.99bd997-8+b2_amd64.buildinfo Get source package info: caffe=1.0.0+git20180821.99bd997-8 Source URL: http://snapshot.notset.fr/mr/package/caffe/1.0.0+git20180821.99bd997-8/srcfiles?fileinfo=1 env -i PATH=/usr/sbin:/usr/bin:/sbin:/bin TMPDIR=/tmp mmdebstrap --arch=amd64 --include=adduser=3.118 adwaita-icon-theme=3.38.0-1 autoconf=2.69-13 automake=1:1.16.3-1 autopoint=0.21-3 autotools-dev=20180224.1+nmu1 base-files=11 base-passwd=3.5.48 bash=5.1-1 bash-completion=1:2.11-2 bc=1.07.1-2+b2 binutils=2.35.1-5 binutils-common=2.35.1-5 binutils-x86-64-linux-gnu=2.35.1-5 bsdextrautils=2.36.1-3 bsdutils=1:2.36.1-3 build-essential=12.8 bzip2=1.0.8-4 ca-certificates=20200601 cmake=3.18.4-1+b1 cmake-data=3.18.4-1 coreutils=8.32-4+b1 cpp=4:10.2.0-1 cpp-10=10.2.1-1 cython3=0.29.21-3+b1 dash=0.5.11+git20200708+dd9ef66-5 dbus=1.12.20-1 dbus-user-session=1.12.20-1 dconf-gsettings-backend=0.38.0-1 dconf-service=0.38.0-1 debconf=1.5.74 debhelper=13.3 debianutils=4.11.2 dh-autoreconf=19 dh-python=4.20201102 dh-strip-nondeterminism=1.9.0-1 diffutils=1:3.7-3 dmsetup=2:1.02.173-1 dpkg=1.20.5 dpkg-dev=1.20.5 dwz=0.13+20201015-2 file=1:5.39-3 findutils=4.7.0+git20201010-2 fontconfig=2.13.1-4.2 fontconfig-config=2.13.1-4.2 fonts-dejavu-core=2.37-2 fonts-lyx=2.3.6-1 g++=4:10.2.0-1 g++-10=10.2.1-1 gcc=4:10.2.0-1 gcc-10=10.2.1-1 gcc-10-base=10.2.1-1 gdal-data=3.2.0+dfsg-1 gettext=0.21-3 gettext-base=0.21-3 glib-networking=2.66.0-2 glib-networking-common=2.66.0-2 glib-networking-services=2.66.0-2 graphviz=2.42.2-4+b2 grep=3.6-1 groff-base=1.22.4-5 gsettings-desktop-schemas=3.38.0-2 gtk-update-icon-cache=3.24.24-1 gzip=1.10-2 hdf5-helpers=1.10.6+repack-2 hicolor-icon-theme=0.17-2 hostname=3.23 ibverbs-providers=32.0-1+b1 init-system-helpers=1.60 intltool-debian=0.35.0+20060710.5 ipython3=7.19.0-1 iso-codes=4.5.0-1 libacl1=2.2.53-8 libaec-dev=1.0.4-1 libaec0=1.0.4-1 libann0=1.1.2+doc-7 libaom0=1.0.0.errata1-3 libapparmor1=2.13.5-1+b2 libarchive-zip-perl=1.68-1 libarchive13=3.4.3-2 libargon2-1=0~20171227-0.2 libarmadillo10=1:10.1.2+dfsg-2+b2 libarpack2=3.8.0-1 libasan6=10.2.1-1 libatk-bridge2.0-0=2.38.0-1 libatk1.0-0=2.36.0-2 libatk1.0-data=2.36.0-2 libatomic1=10.2.1-1 libatspi2.0-0=2.38.0-2 libattr1=1:2.4.48-5 libaudit-common=1:2.8.5-3.1 libaudit1=1:2.8.5-3.1+b1 libavahi-client3=0.8-3 libavahi-common-data=0.8-3 libavahi-common3=0.8-3 libavcodec-dev=7:4.3.1-5 libavcodec58=7:4.3.1-5 libavformat-dev=7:4.3.1-5 libavformat58=7:4.3.1-5 libavutil-dev=7:4.3.1-5 libavutil56=7:4.3.1-5 libbinutils=2.35.1-5 libblas-dev=3.9.0-3 libblas3=3.9.0-3 libblkid1=2.36.1-3 libbluray2=1:1.2.1-4 libboost-atomic1.74-dev=1.74.0-5 libboost-atomic1.74.0=1.74.0-5 libboost-chrono1.74-dev=1.74.0-5 libboost-chrono1.74.0=1.74.0-5 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libsasl2-modules-db=2.1.27+dfsg-2 libseccomp2=2.5.0-3+b1 libselinux1=3.1-2+b2 libsemanage-common=3.1-1 libsemanage1=3.1-1+b2 libsensors-config=1:3.6.0-2 libsensors5=1:3.6.0-2 libsepol1=3.1-1 libshine3=3.1.1-2 libsigsegv2=2.12-3 libsm6=2:1.2.3-1 libsmartcols1=2.36.1-3 libsnappy-dev=1.1.8-1 libsnappy1v5=1.1.8-1 libsocket++1=1.12.13-10 libsodium23=1.0.18-1 libsoup-gnome2.4-1=2.72.0-2 libsoup2.4-1=2.72.0-2 libsoxr0=0.1.3-4 libspatialite7=5.0.0-1 libspeex1=1.2~rc1.2-1.1 libsqlite3-0=3.34.0-1 libssh-gcrypt-4=0.9.5-1 libssh2-1=1.9.0-2 libssl1.1=1.1.1i-1 libstdc++-10-dev=10.2.1-1 libstdc++6=10.2.1-1 libsub-override-perl=0.09-2 libsuperlu5=5.2.2+dfsg1-2 libswresample-dev=7:4.3.1-5 libswresample3=7:4.3.1-5 libswscale-dev=7:4.3.1-5 libswscale5=7:4.3.1-5 libsystemd0=247.2-2 libsz2=1.0.4-1 libtasn1-6=4.16.0-2 libtbb-dev=2020.3-1 libtbb2=2020.3-1 libtcl8.6=8.6.10+dfsg-1 libtesseract4=4.1.1-2+b1 libthai-data=0.1.28-3 libthai0=0.1.28-3 libtheora0=1.1.1+dfsg.1-15 libtiff-dev=4.2.0-1 libtiff5=4.2.0-1 libtiffxx5=4.2.0-1 libtinfo6=6.2+20201114-1 libtirpc-common=1.2.6-3 libtirpc-dev=1.2.6-3 libtirpc3=1.2.6-3 libtk8.6=8.6.10-1 libtool=2.4.6-14 libtsan0=10.2.1-1 libtwolame0=0.4.0-2 libubsan1=10.2.1-1 libuchardet0=0.0.7-1 libucx0=1.9.0~rc1-2 libudev1=247.1-4 libudfread0=1.1.1-1 libunistring2=0.9.10-4 libunwind8=1.3.2-2 liburiparser1=0.9.4+dfsg-1 libusb-1.0-0=2:1.0.24-2 libuuid1=2.36.1-3 libuv1=1.40.0-1 libva-drm2=2.10.0-1 libva-x11-2=2.10.0-1 libva2=2.10.0-1 libvdpau1=1.4-2 libvorbis0a=1.3.7-1 libvorbisenc2=1.3.7-1 libvorbisfile3=1.3.7-1 libvpx6=1.9.0-1 libvtk7.1p=7.1.1+dfsg2-8 libvulkan1=1.2.154.1-1 libwavpack1=5.3.0-1 libwayland-client0=1.18.0-2~exp1.1 libwayland-cursor0=1.18.0-2~exp1.1 libwayland-egl1=1.18.0-2~exp1.1 libwebp6=0.6.1-2+b1 libwebpdemux2=0.6.1-2+b1 libwebpmux3=0.6.1-2+b1 libx11-6=2:1.6.12-1 libx11-data=2:1.6.12-1 libx11-xcb1=2:1.6.12-1 libx264-160=2:0.160.3011+gitcde9a93-2+b2 libx265-192=3.4-2 libxau6=1:1.0.8-1+b2 libxaw7=2:1.0.13-1.1 libxcb-dri2-0=1.14-2 libxcb-dri3-0=1.14-2 libxcb-glx0=1.14-2 libxcb-present0=1.14-2 libxcb-render0=1.14-2 libxcb-shm0=1.14-2 libxcb-sync1=1.14-2 libxcb-xfixes0=1.14-2 libxcb1=1.14-2 libxcomposite1=1:0.4.5-1 libxcursor1=1:1.2.0-2 libxdamage1=1:1.1.5-2 libxdmcp6=1:1.1.2-3 libxerces-c3.2=3.2.3+debian-3 libxext6=2:1.3.3-1.1 libxfixes3=1:5.0.3-2 libxft2=2.3.2-2 libxi6=2:1.7.10-1 libxinerama1=2:1.1.4-2 libxkbcommon0=1.0.3-2 libxml2=2.9.10+dfsg-6.3+b1 libxmu6=2:1.1.2-2+b3 libxnvctrl0=450.80.02-1+b1 libxpm4=1:3.5.12-1 libxrandr2=2:1.5.1-1 libxrender1=1:0.9.10-1 libxshmfence1=1.3-1 libxss1=1:1.2.3-1 libxt6=1:1.2.0-1 libxvidcore4=2:1.3.7-1 libxxf86vm1=1:1.1.4-1+b2 libyaml-0-2=0.2.2-1 libz3-4=4.8.9-1 libzmq5=4.3.3-4 libzstd1=1.4.5+dfsg-4 libzvbi-common=0.2.35-18 libzvbi0=0.2.35-18 linux-libc-dev=5.9.15-1 login=1:4.8.1-1 lsb-base=11.1.0 m4=1.4.18-4 mailcap=3.67 make=4.3-4 man-db=2.9.3-2 mariadb-common=1:10.5.8-3 mawk=1.3.4.20200120-2 media-types=1.0.1 mime-support=3.66 mount=2.36.1-3 mysql-common=5.8+1.0.6 ncurses-base=6.2+20201114-1 ncurses-bin=6.2+20201114-1 node-jquery=3.5.1+dfsg+~3.5.5-1 ocl-icd-libopencl1=2.2.13-1 odbcinst=2.3.6-0.1+b1 odbcinst1debian2=2.3.6-0.1+b1 openssl=1.1.1i-1 passwd=1:4.8.1-1 patch=2.7.6-6 perl=5.32.0-6 perl-base=5.32.0-6 perl-modules-5.32=5.32.0-6 pkg-config=0.29.2-1 po-debconf=1.0.21 procps=2:3.3.16-5 proj-data=7.2.0-1 protobuf-compiler=3.12.3-2+b2 python-matplotlib-data=3.3.2-2 python3=3.9.0-4 python3-backcall=0.2.0-1 python3-certifi=2020.6.20-1 python3-cycler=0.10.0-3 python3-dateutil=2.8.1-4 python3-decorator=4.4.2-2 python3-dev=3.9.0-4 python3-distutils=3.8.6-1 python3-gflags=1.5.1-7 python3-h5py=2.10.0-9 python3-h5py-serial=2.10.0-9+b2 python3-imageio=2.4.1-3 python3-ipython=7.19.0-1 python3-ipython-genutils=0.2.0-4 python3-jedi=0.17.2-2 python3-kiwisolver=1.3.1-1+b1 python3-lib2to3=3.8.6-1 python3-matplotlib=3.3.2-2+b1 python3-minimal=3.9.0-4 python3-networkx=2.5+ds-2 python3-nose=1.3.7-7 python3-numpy=1:1.19.4-1+b1 python3-pandas=1.1.5+dfsg-1 python3-pandas-lib=1.1.5+dfsg-1 python3-parso=0.8.1-1 python3-pexpect=4.6.0-4 python3-pickleshare=0.7.5-3 python3-pil=8.0.1-1+b1 python3-pkg-resources=50.3.0-1 python3-prompt-toolkit=3.0.8-1 python3-protobuf=3.12.3-2+b2 python3-ptyprocess=0.6.0-3 python3-pydotplus=2.0.2-3 python3-pygments=2.7.1+dfsg-1 python3-pyparsing=2.4.7-1 python3-pywt=1.1.1-1+b2 python3-scipy=1.5.4-1+b1 python3-six=1.15.0-2 python3-skimage=0.18.0-1 python3-skimage-lib=0.18.0-1 python3-tifffile=20201208-1 python3-traitlets=5.0.5-1 python3-tz=2020.4-2 python3-wcwidth=0.1.9+dfsg1-2 python3-yaml=5.3.1-3+b1 python3.9=3.9.1-1 python3.9-dev=3.9.1-1 python3.9-minimal=3.9.1-1 readline-common=8.1-1 sed=4.7-1 sensible-utils=0.0.12+nmu1 shared-mime-info=2.0-1 systemd=247.2-2 systemd-sysv=247.2-2 systemd-timesyncd=247.2-2 sysvinit-utils=2.96-5 tar=1.32+dfsg-1 ttf-bitstream-vera=1.10-8 tzdata=2020d-1 ucf=3.0043 util-linux=2.36.1-3 x11-common=1:7.7+21 xkb-data=2.29-2 xz-utils=5.2.4-1+b1 zlib1g=1:1.2.11.dfsg-2 zlib1g-dev=1:1.2.11.dfsg-2 --variant=apt --aptopt=Acquire::Check-Valid-Until "false" --aptopt=Acquire::http::Dl-Limit "1000"; --aptopt=Acquire::https::Dl-Limit "1000"; --aptopt=Acquire::Retries "5"; --aptopt=APT::Get::allow-downgrades "true"; --keyring=/usr/share/keyrings/ --essential-hook=chroot "$1" sh -c "apt-get --yes install fakeroot util-linux" --essential-hook=copy-in /usr/share/keyrings/debian-archive-bullseye-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-security-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-stable.gpg /usr/share/keyrings/debian-archive-buster-automatic.gpg /usr/share/keyrings/debian-archive-buster-security-automatic.gpg /usr/share/keyrings/debian-archive-buster-stable.gpg /usr/share/keyrings/debian-archive-keyring.gpg /usr/share/keyrings/debian-archive-removed-keys.gpg /usr/share/keyrings/debian-archive-stretch-automatic.gpg /usr/share/keyrings/debian-archive-stretch-security-automatic.gpg /usr/share/keyrings/debian-archive-stretch-stable.gpg /usr/share/keyrings/debian-ports-archive-keyring-removed.gpg /usr/share/keyrings/debian-ports-archive-keyring.gpg /usr/share/keyrings/debian-keyring.gpg /etc/apt/trusted.gpg.d/ --essential-hook=chroot "$1" sh -c "rm /etc/apt/sources.list && echo 'deb http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb-src http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb http://snapshot.notset.fr/archive/debian/20201223T143945Z/ unstable main deb http://snapshot.notset.fr/archive/debian/20201220T203231Z/ unstable main' >> /etc/apt/sources.list && apt-get update" --customize-hook=chroot "$1" useradd --no-create-home -d /nonexistent -p "" builduser -s /bin/bash --customize-hook=chroot "$1" env sh -c "apt-get source --only-source -d caffe=1.0.0+git20180821.99bd997-8 && mkdir -p /build/caffe-XRb9ip && dpkg-source --no-check -x /*.dsc /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 && cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 && { printf '%s' 'caffe (1.0.0+git20180821.99bd997-8+b2) sid; urgency=low, binary-only=yes * Binary-only non-maintainer upload for amd64; no source changes. * Rebuild against opencv 4.5.0 -- amd64 / i386 Build Daemon (x86-ubc-01) Tue, 22 Dec 2020 12:02:45 +0000 '; cat debian/changelog; } > debian/changelog.debrebuild && mv debian/changelog.debrebuild debian/changelog && chown -R builduser:builduser /build/caffe-XRb9ip" --customize-hook=chroot "$1" env --unset=TMPDIR runuser builduser -c "cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 && env DEB_BUILD_OPTIONS="parallel=4" LC_ALL="C.UTF-8" SOURCE_DATE_EPOCH="1608638565" dpkg-buildpackage -uc -a amd64 --build=any" --customize-hook=sync-out /build/caffe-XRb9ip /tmp/caffe-1.0.0+git20180821.99bd997-8+b25yxdzfq3 bullseye /dev/null deb http://snapshot.notset.fr/archive/debian/20201220T203231Z unstable main I: automatically chosen mode: root I: chroot architecture amd64 is equal to the host's architecture I: automatically chosen format: tar I: using /tmp/mmdebstrap.tpj0ouYuli as tempdir I: running apt-get update... I: downloading packages with apt... I: extracting archives... I: installing essential packages... I: running --essential-hook in shell: sh -c 'chroot "$1" sh -c "apt-get --yes install fakeroot util-linux"' exec /tmp/mmdebstrap.tpj0ouYuli Reading package lists... Building dependency tree... util-linux is already the newest version (2.36.1-3). The following NEW packages will be installed: fakeroot libfakeroot 0 upgraded, 2 newly installed, 0 to remove and 0 not upgraded. Need to get 134 kB of archives. After this operation, 397 kB of additional disk space will be used. Get:1 http://snapshot.notset.fr/archive/debian/20201220T203231Z unstable/main amd64 libfakeroot amd64 1.25.3-1.1 [47.0 kB] Get:2 http://snapshot.notset.fr/archive/debian/20201220T203231Z unstable/main amd64 fakeroot amd64 1.25.3-1.1 [87.0 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 134 kB in 0s (1060 kB/s) Selecting previously unselected package libfakeroot: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 ... 4621 files and directories currently installed.) Preparing to unpack .../libfakeroot_1.25.3-1.1_amd64.deb ... Unpacking libfakeroot:amd64 (1.25.3-1.1) ... Selecting previously unselected package fakeroot. Preparing to unpack .../fakeroot_1.25.3-1.1_amd64.deb ... Unpacking fakeroot (1.25.3-1.1) ... Setting up libfakeroot:amd64 (1.25.3-1.1) ... Setting up fakeroot (1.25.3-1.1) ... update-alternatives: using /usr/bin/fakeroot-sysv to provide /usr/bin/fakeroot (fakeroot) in auto mode Processing triggers for libc-bin (2.31-6) ... I: running special hook: copy-in /usr/share/keyrings/debian-archive-bullseye-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-security-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-stable.gpg /usr/share/keyrings/debian-archive-buster-automatic.gpg /usr/share/keyrings/debian-archive-buster-security-automatic.gpg /usr/share/keyrings/debian-archive-buster-stable.gpg /usr/share/keyrings/debian-archive-keyring.gpg /usr/share/keyrings/debian-archive-removed-keys.gpg /usr/share/keyrings/debian-archive-stretch-automatic.gpg /usr/share/keyrings/debian-archive-stretch-security-automatic.gpg /usr/share/keyrings/debian-archive-stretch-stable.gpg /usr/share/keyrings/debian-ports-archive-keyring-removed.gpg /usr/share/keyrings/debian-ports-archive-keyring.gpg /usr/share/keyrings/debian-keyring.gpg /etc/apt/trusted.gpg.d/ I: running --essential-hook in shell: sh -c 'chroot "$1" sh -c "rm /etc/apt/sources.list && echo 'deb http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb-src http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb http://snapshot.notset.fr/archive/debian/20201223T143945Z/ unstable main deb http://snapshot.notset.fr/archive/debian/20201220T203231Z/ unstable main' >> /etc/apt/sources.list && apt-get update"' exec /tmp/mmdebstrap.tpj0ouYuli Get:1 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm InRelease [81.6 kB] Get:2 http://snapshot.notset.fr/archive/debian/20201223T143945Z unstable InRelease [153 kB] Hit:3 http://snapshot.notset.fr/archive/debian/20201220T203231Z unstable InRelease Ign:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources Ign:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages Ign:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources Ign:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages Ign:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources Ign:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages Get:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources [11.4 MB] Get:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages [11.1 MB] Ign:6 http://snapshot.notset.fr/archive/debian/20201223T143945Z unstable/main amd64 Packages Ign:6 http://snapshot.notset.fr/archive/debian/20201223T143945Z unstable/main amd64 Packages Ign:6 http://snapshot.notset.fr/archive/debian/20201223T143945Z unstable/main amd64 Packages Get:6 http://snapshot.notset.fr/archive/debian/20201223T143945Z unstable/main amd64 Packages [11.6 MB] Fetched 34.3 MB in 30s (1162 kB/s) Reading package lists... I: installing remaining packages inside the chroot... I: running --customize-hook in shell: sh -c 'chroot "$1" useradd --no-create-home -d /nonexistent -p "" builduser -s /bin/bash' exec /tmp/mmdebstrap.tpj0ouYuli I: running --customize-hook in shell: sh -c 'chroot "$1" env sh -c "apt-get source --only-source -d caffe=1.0.0+git20180821.99bd997-8 && mkdir -p /build/caffe-XRb9ip && dpkg-source --no-check -x /*.dsc /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 && cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 && { printf '%s' 'caffe (1.0.0+git20180821.99bd997-8+b2) sid; urgency=low, binary-only=yes * Binary-only non-maintainer upload for amd64; no source changes. * Rebuild against opencv 4.5.0 -- amd64 / i386 Build Daemon (x86-ubc-01) Tue, 22 Dec 2020 12:02:45 +0000 '; cat debian/changelog; } > debian/changelog.debrebuild && mv debian/changelog.debrebuild debian/changelog && chown -R builduser:builduser /build/caffe-XRb9ip"' exec /tmp/mmdebstrap.tpj0ouYuli Reading package lists... NOTICE: 'caffe' packaging is maintained in the 'Git' version control system at: https://salsa.debian.org/science-team/caffe.git Please use: git clone https://salsa.debian.org/science-team/caffe.git to retrieve the latest (possibly unreleased) updates to the package. Need to get 8537 kB of source archives. Get:1 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main caffe 1.0.0+git20180821.99bd997-8 (dsc) [3011 B] Get:2 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main caffe 1.0.0+git20180821.99bd997-8 (tar) [8519 kB] Get:3 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main caffe 1.0.0+git20180821.99bd997-8 (diff) [14.9 kB] Fetched 8537 kB in 7s (1171 kB/s) Download complete and in download only mode W: Download is performed unsandboxed as root as file 'caffe_1.0.0+git20180821.99bd997-8.dsc' couldn't be accessed by user '_apt'. - pkgAcquire::Run (13: Permission denied) dpkg-source: info: extracting caffe in /build/caffe-XRb9ip/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: running --customize-hook in shell: sh -c 'chroot "$1" env --unset=TMPDIR runuser builduser -c "cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 && env DEB_BUILD_OPTIONS="parallel=4" LC_ALL="C.UTF-8" SOURCE_DATE_EPOCH="1608638565" dpkg-buildpackage -uc -a amd64 --build=any"' exec /tmp/mmdebstrap.tpj0ouYuli dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8+b2 dpkg-buildpackage: info: source distribution sid dpkg-buildpackage: info: source changed by amd64 / i386 Build Daemon (x86-ubc-01) 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/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_auto_clean --builddirectory="caffe_cpu_build" rm -f -rf python/caffe/proto/ doxygen rm -f python/caffe/_caffe.so find . -type d -name '__pycache__' -exec rm -rf '{}' + make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_clean -O-Scmake debian/rules build-arch dh build-arch -Scmake --with python3,bash-completion dh_update_autotools_config -a -O-Scmake dh_autoreconf -a -O-Scmake debian/rules override_dh_auto_configure make[1]: Entering directory '/build/caffe-XRb9ip/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/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_CXX_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/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/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" "-DCMAKE_CXX_FLAGS=-g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/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 "3.12.3") -- 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 "3.9.1", minimum required is "3.0") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.9.so (found suitable version "3.9.1", minimum required is "3.0") -- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.19.4", minimum required is "1.7.1") -- NumPy ver. 1.19.4 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/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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. 4.5.0) -- CUDA : No -- -- Python: -- Interpreter : /usr/bin/python3 (ver. 3.9.1) -- Libraries : /usr/lib/x86_64-linux-gnu/libpython3.9.so (ver 3.9.1) -- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.19.4) -- -- Install: -- Install path : /usr -- -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: USE_CUDNN -- Build files have been written to: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_build-arch make[1]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all cd caffe_cpu_build && make -j4 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 caffe make[3]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 52 make -f CMakeFiles/Makefile2 src/caffe/CMakeFiles/caffe.dir/all make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 0%] Running C++/Python protocol buffer compiler on /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E make_directory /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src -I /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/depend.internal". Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/depend.internal". Scanning dependencies of target caffeproto make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DUSE_HDF5 -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/caffe.pb.cc [ 1%] Linking CXX static library ../../lib/libcaffeproto.a cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -P CMakeFiles/caffeproto.dir/cmake_clean_target.cmake cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffeproto.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libcaffeproto.a CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o /usr/bin/ranlib ../../lib/libcaffeproto.a make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/depend.internal". Scanning dependencies of target caffe make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/internal_thread.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/internal_thread.cpp [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o cd /build/caffe-XRb9ip/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 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-isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/absval_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/absval_layer.cpp [ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/accuracy_layer.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/shared_ptr.hpp:17, from /usr/include/boost/python/converter/shared_ptr_to_python.hpp:12, from /usr/include/boost/python/converter/arg_to_python.hpp:15, from /usr/include/boost/python/call.hpp:15, from /usr/include/boost/python/object_core.hpp:14, from /usr/include/boost/python/args.hpp:22, from /usr/include/boost/python.hpp:11, from /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:4: /usr/include/boost/bind.hpp:36:1: note: ‘#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.’ 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: ‘#pragma message: This header is deprecated. Use instead.’ 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/argmax_layer.cpp /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of ‘boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]’: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type ‘struct boost::python::error_already_set’ by value [-Wcatch-value=] 298 | } catch (bp::error_already_set) { | ^~~~~~~~~~~~~~~~~ /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of ‘boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]’: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here /build/caffe-XRb9ip/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=] [ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include 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-I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/base_data_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/base_data_layer.cpp [ 11%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/batch_norm_layer.cpp.o cd /build/caffe-XRb9ip/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 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-I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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/util/signal_handler.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/util/signal_handler.cpp /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function ‘bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)’: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:60:66: warning: ‘void google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int, int)’ is 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The second parameter is ignored. [-Wdeprecated-declarations] 60 | coded_input->SetTotalBytesLimit(kProtoReadBytesLimit, 536870912); | ^ In file included from /build/caffe-XRb9ip/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) { | ^~~~~~~~~~~~~~~~~~ In file included from /usr/include/boost/bind.hpp:30, from /build/caffe-XRb9ip/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( | ^~~~~~~~~~~~~~~~~~~~ [ 98%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/upgrade_proto.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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/util/upgrade_proto.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/util/upgrade_proto.cpp [100%] Linking CXX shared library ../../lib/libcaffe.so cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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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CMakeFiles/caffe.dir/layers/cudnn_lcn_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_lrn_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_relu_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_sigmoid_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_softmax_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_tanh_layer.cpp.o CMakeFiles/caffe.dir/layers/data_layer.cpp.o CMakeFiles/caffe.dir/layers/deconv_layer.cpp.o CMakeFiles/caffe.dir/layers/dropout_layer.cpp.o CMakeFiles/caffe.dir/layers/dummy_data_layer.cpp.o CMakeFiles/caffe.dir/layers/eltwise_layer.cpp.o CMakeFiles/caffe.dir/layers/elu_layer.cpp.o CMakeFiles/caffe.dir/layers/embed_layer.cpp.o CMakeFiles/caffe.dir/layers/euclidean_loss_layer.cpp.o CMakeFiles/caffe.dir/layers/exp_layer.cpp.o CMakeFiles/caffe.dir/layers/filter_layer.cpp.o CMakeFiles/caffe.dir/layers/flatten_layer.cpp.o CMakeFiles/caffe.dir/layers/hdf5_data_layer.cpp.o CMakeFiles/caffe.dir/layers/hdf5_output_layer.cpp.o 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CMakeFiles/caffe.dir/layers/reduction_layer.cpp.o CMakeFiles/caffe.dir/layers/relu_layer.cpp.o CMakeFiles/caffe.dir/layers/reshape_layer.cpp.o CMakeFiles/caffe.dir/layers/rnn_layer.cpp.o CMakeFiles/caffe.dir/layers/scale_layer.cpp.o CMakeFiles/caffe.dir/layers/sigmoid_cross_entropy_loss_layer.cpp.o CMakeFiles/caffe.dir/layers/sigmoid_layer.cpp.o CMakeFiles/caffe.dir/layers/silence_layer.cpp.o CMakeFiles/caffe.dir/layers/slice_layer.cpp.o CMakeFiles/caffe.dir/layers/softmax_layer.cpp.o CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o CMakeFiles/caffe.dir/layers/split_layer.cpp.o CMakeFiles/caffe.dir/layers/spp_layer.cpp.o CMakeFiles/caffe.dir/layers/swish_layer.cpp.o CMakeFiles/caffe.dir/layers/tanh_layer.cpp.o CMakeFiles/caffe.dir/layers/threshold_layer.cpp.o CMakeFiles/caffe.dir/layers/tile_layer.cpp.o CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o CMakeFiles/caffe.dir/net.cpp.o CMakeFiles/caffe.dir/parallel.cpp.o CMakeFiles/caffe.dir/solver.cpp.o CMakeFiles/caffe.dir/solvers/adadelta_solver.cpp.o CMakeFiles/caffe.dir/solvers/adagrad_solver.cpp.o CMakeFiles/caffe.dir/solvers/adam_solver.cpp.o CMakeFiles/caffe.dir/solvers/nesterov_solver.cpp.o CMakeFiles/caffe.dir/solvers/rmsprop_solver.cpp.o CMakeFiles/caffe.dir/solvers/sgd_solver.cpp.o CMakeFiles/caffe.dir/syncedmem.cpp.o CMakeFiles/caffe.dir/util/benchmark.cpp.o CMakeFiles/caffe.dir/util/blocking_queue.cpp.o CMakeFiles/caffe.dir/util/cudnn.cpp.o CMakeFiles/caffe.dir/util/db.cpp.o CMakeFiles/caffe.dir/util/db_leveldb.cpp.o CMakeFiles/caffe.dir/util/db_lmdb.cpp.o CMakeFiles/caffe.dir/util/hdf5.cpp.o CMakeFiles/caffe.dir/util/im2col.cpp.o CMakeFiles/caffe.dir/util/insert_splits.cpp.o CMakeFiles/caffe.dir/util/io.cpp.o CMakeFiles/caffe.dir/util/math_functions.cpp.o CMakeFiles/caffe.dir/util/signal_handler.cpp.o CMakeFiles/caffe.dir/util/upgrade_proto.cpp.o ../../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_filesystem.so.1.74.0 -lpthread -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 -lsnappy /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.0 -lblas -lpython3.9 /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 -lpthread /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_symlink_library ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pycaffe make[3]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 python/CMakeFiles/pycaffe.dir/all make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe 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/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd 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Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/depend.internal". Scanning dependencies of target pycaffe make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Building CXX object python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -Dpycaffe_EXPORTS -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, from /usr/include/boost/smart_ptr/make_shared_object.hpp:17, from /usr/include/boost/smart_ptr/make_shared.hpp:14, from /usr/include/boost/make_shared.hpp:14, from /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp:6: /usr/include/boost/bind.hpp:36:1: note: ‘#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.’ 36 | BOOST_PRAGMA_MESSAGE( | ^~~~~~~~~~~~~~~~~~~~ /usr/include/boost/detail/iterator.hpp:13:1: note: ‘#pragma message: This header is deprecated. Use instead.’ 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../lib/_caffe.so cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/pycaffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 Creating symlink /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && ln -sf /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/cmake -E make_directory /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/proto cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && touch /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/__init__.py cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && cp /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/*.py /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/ make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 test.testbin make[3]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/test.testbin.dir/all make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Scanning dependencies of target gtest make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend [ 2%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe In file included from /usr/include/string.h:495, from /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39: In function ‘char* strncpy(char*, const char*, size_t)’, inlined from ‘const char* testing::internal::posix::StrNCpy(char*, const char*, size_t)’ at /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:2672:17, inlined from ‘char* testing::internal::CloneString(const char*, size_t)’ at /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2143:19, inlined from ‘static const char* testing::internal::String::CloneCString(const char*)’ at /build/caffe-XRb9ip/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/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp: In static member function ‘static const char* testing::internal::String::CloneCString(const char*)’: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: note: length computed here 2154 | NULL : CloneString(c_str, strlen(c_str)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 60%] Linking CXX static library ../../lib/libgtest.a cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -P CMakeFiles/gtest.dir/cmake_clean_target.cmake cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/cmake -E cmake_link_script CMakeFiles/gtest.dir/link.txt --verbose=1 /usr/bin/ar qc ../../lib/libgtest.a CMakeFiles/gtest.dir/gtest-all.cpp.o /usr/bin/ranlib ../../lib/libgtest.a make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target gtest make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/depend.internal". Scanning dependencies of target test.testbin make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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 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/usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include 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/usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_net.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_net.cpp [ 85%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_neuron_layer.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include 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CMakeFiles/test.testbin.dir/test_upgrade_proto.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_upgrade_proto.cpp [ 98%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_util_blas.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 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Scanning dependencies of target upgrade_net_proto_text Scanning dependencies of target convert_imageset Scanning dependencies of target extract_features make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/build make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/build Scanning dependencies of target upgrade_net_proto_binary make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/convert_imageset.dir/build.make 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-I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/tools/upgrade_net_proto_text.cpp cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/extract_features.dir/extract_features.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/tools/extract_features.cpp [ 84%] Building CXX object tools/CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/tools/convert_imageset.cpp [ 84%] Building CXX object tools/CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/tools/upgrade_net_proto_binary.cpp [ 84%] Linking CXX executable convert_imageset cd /build/caffe-XRb9ip/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/caffe-XRb9ip/caffe-1.0.0+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.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 84%] Built target convert_imageset make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && 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Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". Scanning dependencies of target compute_image_mean make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/build make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 85%] Building CXX object tools/CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/tools/compute_image_mean.cpp [ 87%] Linking CXX executable upgrade_net_proto_binary cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_binary.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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 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/usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 89%] Linking CXX executable upgrade_net_proto_text cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_text.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o -o upgrade_net_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 89%] Built target upgrade_net_proto_binary make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/depend make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". Dependee "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". 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/usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o -c /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/examples/mnist/convert_mnist_data.cpp [ 92%] Linking CXX executable siamese/convert_mnist_siamese_data cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_mnist_siamese_data.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o -o siamese/convert_mnist_siamese_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /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.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Linking CXX executable upgrade_solver_proto_text cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_solver_proto_text.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+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 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cmake_link_script CMakeFiles/caffe.bin.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/caffe.bin.dir/caffe.cpp.o -o caffe ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 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/usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data.bin make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target convert_cifar_data make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target caffe.bin [100%] Linking CXX executable cpp_classification/classification cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake 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/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.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.0 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.0 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification.bin make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target classification make[3]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[2]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_auto_test-arch make[1]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ cd caffe_cpu_build && make -j4 test runtest pytest LD_LIBRARY_PATH=/build/caffe-XRb9ip/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j4 make[2]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Nothing to be done for 'test'. /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 runtest make[3]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 87 make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/runtest.dir/all make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target gtest make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 2%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 60%] Built target caffe make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/test.testbin.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/test/CMakeFiles/test.testbin.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target test.testbin make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe/test /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test/CMakeFiles/runtest.dir/DependInfo.cmake --color= Scanning dependencies of target runtest make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/runtest.dir/build.make src/caffe/test/CMakeFiles/runtest.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 && /build/caffe-XRb9ip/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 73252 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AccuracyLayerTest/0.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClass [ OK ] AccuracyLayerTest/0.TestForwardPerClass (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (1 ms) [ RUN ] AccuracyLayerTest/0.TestSetupTopK [ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/0.TestForward [ OK ] AccuracyLayerTest/0.TestForward (0 ms) [ RUN ] AccuracyLayerTest/0.TestForwardTopK [ OK ] AccuracyLayerTest/0.TestForwardTopK (3 ms) [ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) [ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) [----------] 9 tests from AccuracyLayerTest/0 (6 ms total) [----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/1.TestGradient [ OK ] ContrastiveLossLayerTest/1.TestGradient (284 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (281 ms) [ RUN ] ContrastiveLossLayerTest/1.TestForward [ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) [----------] 4 tests from ContrastiveLossLayerTest/1 (566 ms total) [----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float [ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (86 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (36 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUAxis [ OK ] ArgMaxLayerTest/0.TestCPUAxis (8 ms) [ RUN ] ArgMaxLayerTest/0.TestCPU [ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUTopK [ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) [ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal [ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetup [ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxis [ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (0 ms) [ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) [----------] 12 tests from ArgMaxLayerTest/0 (137 ms total) [----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/1.TestInitTrainTestNets [ OK ] SolverTest/1.TestInitTrainTestNets (20 ms) [----------] 1 test from SolverTest/1 (21 ms total) [----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double [ RUN ] CPUMathFunctionsTest/1.TestAsum [ OK ] CPUMathFunctionsTest/1.TestAsum (5 ms) [ RUN ] CPUMathFunctionsTest/1.TestSgnbit [ OK ] CPUMathFunctionsTest/1.TestSgnbit (8 ms) [ RUN ] CPUMathFunctionsTest/1.TestSign [ OK ] CPUMathFunctionsTest/1.TestSign (20 ms) [ RUN ] CPUMathFunctionsTest/1.TestCopy [ OK ] CPUMathFunctionsTest/1.TestCopy (6 ms) [ RUN ] CPUMathFunctionsTest/1.TestScale [ OK ] CPUMathFunctionsTest/1.TestScale (7 ms) [ RUN ] CPUMathFunctionsTest/1.TestNothing [ OK ] CPUMathFunctionsTest/1.TestNothing (5 ms) [ RUN ] CPUMathFunctionsTest/1.TestFabs [ OK ] CPUMathFunctionsTest/1.TestFabs (5 ms) [----------] 7 tests from CPUMathFunctionsTest/1 (56 ms total) [----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SplitLayerTest/1.TestSetup [ OK ] SplitLayerTest/1.TestSetup (0 ms) [ RUN ] SplitLayerTest/1.TestGradient [ OK ] SplitLayerTest/1.TestGradient (5 ms) [ RUN ] SplitLayerTest/1.Test [ OK ] SplitLayerTest/1.Test (0 ms) [----------] 3 tests from SplitLayerTest/1 (5 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) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) [ RUN ] XavierFillerTest/1.TestFillFanIn [ OK ] XavierFillerTest/1.TestFillFanIn (50 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (48 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut [ OK ] XavierFillerTest/1.TestFillFanOut (47 ms) [ RUN ] XavierFillerTest/1.TestFill2D [ OK ] XavierFillerTest/1.TestFill2D (0 ms) [----------] 6 tests from XavierFillerTest/1 (145 ms total) [----------] 2 tests from CommonTest [ RUN ] CommonTest.TestRandSeedCPU [ OK ] CommonTest.TestRandSeedCPU (0 ms) [ RUN ] CommonTest.TestBrewMode [ OK ] CommonTest.TestBrewMode (0 ms) [----------] 2 tests from CommonTest (0 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) [ RUN ] DataTransformTest/1.TestCropTrain [ OK ] DataTransformTest/1.TestCropTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/1.TestCropMirrorTrain [ OK ] DataTransformTest/1.TestCropMirrorTrain (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.TestCropMirrorTest [ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestCropTest [ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestMeanValue [ OK ] DataTransformTest/1.TestMeanValue (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) [----------] 12 tests from DataTransformTest/1 (1 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (117 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (20 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdamSolverTest/0.TestSnapshot [ OK ] AdamSolverTest/0.TestSnapshot (14 ms) [ RUN ] AdamSolverTest/0.TestSnapshotShare [ OK ] AdamSolverTest/0.TestSnapshotShare (52 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (21 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (131 ms) [----------] 8 tests from AdamSolverTest/0 (362 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) [----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/1.TestSetupShapeDefault [ OK ] CropLayerTest/1.TestSetupShapeDefault (1 ms) [ RUN ] CropLayerTest/1.TestCropHWGradient [ OK ] CropLayerTest/1.TestCropHWGradient (590 ms) [ RUN ] CropLayerTest/1.TestCrop5D [ OK ] CropLayerTest/1.TestCrop5D (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeAll [ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/1.TestCropAllOffset [ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/1.TestDimensionsCheck [ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) [ RUN ] CropLayerTest/1.TestCrop5DGradient [ OK ] CropLayerTest/1.TestCrop5DGradient (2166 ms) [ RUN ] CropLayerTest/1.TestCropAllGradient [ OK ] CropLayerTest/1.TestCropAllGradient (383 ms) [ RUN ] CropLayerTest/1.TestCropHW [ OK ] CropLayerTest/1.TestCropHW (0 ms) [ RUN ] CropLayerTest/1.TestCropAll [ OK ] CropLayerTest/1.TestCropAll (0 ms) [----------] 11 tests from CropLayerTest/1 (3142 ms total) [----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution [ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSobelConvolution [ OK ] ConvolutionLayerTest/1.TestSobelConvolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (13 ms) [ RUN ] ConvolutionLayerTest/1.TestGradientGroup [ OK ] ConvolutionLayerTest/1.TestGradientGroup (28 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Convolution [ OK ] ConvolutionLayerTest/1.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedGradient [ OK ] ConvolutionLayerTest/1.TestDilatedGradient (37 ms) [ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution [ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (2 ms) [ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D [ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (658 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient [ OK ] ConvolutionLayerTest/1.TestGradient (111 ms) [ RUN ] ConvolutionLayerTest/1.TestSetup [ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/1.Test0DConvolution [ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/1.Test1x1Gradient [ OK ] ConvolutionLayerTest/1.Test1x1Gradient (899 ms) [ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) [ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (3 ms) [ RUN ] ConvolutionLayerTest/1.TestGradient3D [ OK ] ConvolutionLayerTest/1.TestGradient3D (1090 ms) [----------] 15 tests from ConvolutionLayerTest/1 (2844 ms total) [----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB [ RUN ] DBTest/1.TestNext [ OK ] DBTest/1.TestNext (50 ms) [ RUN ] DBTest/1.TestWrite [ OK ] DBTest/1.TestWrite (29 ms) [ RUN ] DBTest/1.TestKeyValue [ OK ] DBTest/1.TestKeyValue (19 ms) [ RUN ] DBTest/1.TestGetDB [ OK ] DBTest/1.TestGetDB (19 ms) [ RUN ] DBTest/1.TestSeekToFirst [ OK ] DBTest/1.TestSeekToFirst (26 ms) [----------] 5 tests from DBTest/1 (144 ms total) [----------] 4 tests from UniformFillerTest/0, where TypeParam = float [ RUN ] UniformFillerTest/0.TestFill2D [ OK ] UniformFillerTest/0.TestFill2D (0 ms) [ RUN ] UniformFillerTest/0.TestFill5D [ OK ] UniformFillerTest/0.TestFill5D (1 ms) [ RUN ] UniformFillerTest/0.TestFill [ OK ] UniformFillerTest/0.TestFill (0 ms) [ RUN ] UniformFillerTest/0.TestFill1D [ OK ] UniformFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from UniformFillerTest/0 (1 ms total) [----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (94 ms) [ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (18 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshot [ OK ] AdaGradSolverTest/1.TestSnapshot (30 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (205 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (13 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (12 ms) [ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (27 ms) [ RUN ] AdaGradSolverTest/1.TestSnapshotShare [ OK ] AdaGradSolverTest/1.TestSnapshotShare (46 ms) [----------] 9 tests from AdaGradSolverTest/1 (464 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 (0 ms total) [----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/1.TestTimerConstructor [ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/1.TestTimerSeconds [ OK ] BenchmarkTest/1.TestTimerSeconds (301 ms) [ RUN ] BenchmarkTest/1.TestTimerStop [ OK ] BenchmarkTest/1.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/1.TestTimerStart [ OK ] BenchmarkTest/1.TestTimerStart (0 ms) [ RUN ] BenchmarkTest/1.TestTimerMilliSeconds [ OK ] BenchmarkTest/1.TestTimerMilliSeconds (300 ms) [----------] 5 tests from BenchmarkTest/1 (601 ms total) [----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/1.TestShuffle [ OK ] ImageDataLayerTest/1.TestShuffle (236 ms) [ RUN ] ImageDataLayerTest/1.TestRead [ OK ] ImageDataLayerTest/1.TestRead (201 ms) [ RUN ] ImageDataLayerTest/1.TestResize [ OK ] ImageDataLayerTest/1.TestResize (164 ms) [ RUN ] ImageDataLayerTest/1.TestSpace [ OK ] ImageDataLayerTest/1.TestSpace (79 ms) [ RUN ] ImageDataLayerTest/1.TestReshape [ OK ] ImageDataLayerTest/1.TestReshape (33 ms) [----------] 5 tests from ImageDataLayerTest/1 (714 ms total) [----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FilterLayerTest/1.TestForward [ OK ] FilterLayerTest/1.TestForward (0 ms) [ RUN ] FilterLayerTest/1.TestReshape [ OK ] FilterLayerTest/1.TestReshape (0 ms) [ RUN ] FilterLayerTest/1.TestGradient [ OK ] FilterLayerTest/1.TestGradient (415 ms) [----------] 3 tests from FilterLayerTest/1 (415 ms total) [----------] 12 tests from DataTransformTest/0, where TypeParam = float [ RUN ] DataTransformTest/0.TestMeanValues [ OK ] DataTransformTest/0.TestMeanValues (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransform [ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) [ RUN ] DataTransformTest/0.TestMeanFile [ OK ] DataTransformTest/0.TestMeanFile (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTest [ OK ] DataTransformTest/0.TestMirrorTest (1 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropSize [ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels [ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) [ RUN ] DataTransformTest/0.TestCropTest [ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestMeanValue [ OK ] DataTransformTest/0.TestMeanValue (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTest [ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) [ RUN ] DataTransformTest/0.TestMirrorTrain [ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) [----------] 12 tests from DataTransformTest/0 (1 ms total) [----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/0.TestScaleData [ OK ] BlobMathTest/0.TestScaleData (0 ms) [ RUN ] BlobMathTest/0.TestAsum [ OK ] BlobMathTest/0.TestAsum (0 ms) [ RUN ] BlobMathTest/0.TestSumOfSquares [ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) [----------] 3 tests from BlobMathTest/0 (0 ms total) [----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (6 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (124 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (17 ms) [ RUN ] AdamSolverTest/1.TestSnapshotShare [ OK ] AdamSolverTest/1.TestSnapshotShare (24 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (35 ms) [ RUN ] AdamSolverTest/1.TestSnapshot [ OK ] AdamSolverTest/1.TestSnapshot (27 ms) [ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything [ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (116 ms) [----------] 8 tests from AdamSolverTest/1 (354 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/1.TestClip [ OK ] NeuronLayerTest/1.TestClip (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutHalf [ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/1.TestLogGradient [ OK ] NeuronLayerTest/1.TestLogGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2 [ OK ] NeuronLayerTest/1.TestExpGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2 [ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestSwish [ OK ] NeuronLayerTest/1.TestSwish (0 ms) [ RUN ] NeuronLayerTest/1.TestSigmoid [ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/1.TestBNLLGradient [ OK ] NeuronLayerTest/1.TestBNLLGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestELUGradient [ OK ] NeuronLayerTest/1.TestELUGradient (1 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2 [ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradientTest [ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) [ RUN ] NeuronLayerTest/1.TestDropoutGradient [ OK ] NeuronLayerTest/1.TestDropoutGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayer [ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestELU [ OK ] NeuronLayerTest/1.TestELU (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBeta [ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradient [ OK ] NeuronLayerTest/1.TestExpGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestSigmoidGradient [ OK ] NeuronLayerTest/1.TestSigmoidGradient (3 ms) [ RUN ] NeuronLayerTest/1.TestAbsVal [ OK ] NeuronLayerTest/1.TestAbsVal (1 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLUGradient [ OK ] NeuronLayerTest/1.TestELUasReLUGradient (14 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient [ OK ] NeuronLayerTest/1.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradient [ OK ] NeuronLayerTest/1.TestPReLUGradient (187 ms) [ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestTanH [ OK ] NeuronLayerTest/1.TestTanH (0 ms) [ RUN ] NeuronLayerTest/1.TestAbsGradient [ OK ] NeuronLayerTest/1.TestAbsGradient (1 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (2 ms) [ RUN ] NeuronLayerTest/1.TestELUasReLU [ OK ] NeuronLayerTest/1.TestELUasReLU (1 ms) [ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/1.TestReLUGradient [ OK ] NeuronLayerTest/1.TestReLUGradient (1 ms) [ RUN ] NeuronLayerTest/1.TestDropoutTestPhase [ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (4 ms) [ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (5 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientWithShift [ OK ] NeuronLayerTest/1.TestExpGradientWithShift (3 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (169 ms) [ RUN ] NeuronLayerTest/1.TestReLU [ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUForward [ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/1.TestTanHGradient [ OK ] NeuronLayerTest/1.TestTanHGradient (25 ms) [ RUN ] NeuronLayerTest/1.TestLogGradientBase2 [ OK ] NeuronLayerTest/1.TestLogGradientBase2 (5 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUParam [ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishGradient [ OK ] NeuronLayerTest/1.TestSwishGradient (4 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [----------] 58 tests from NeuronLayerTest/1 (460 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 (15 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 (15 ms) [----------] 5 tests from EmbedLayerTest/1 (71 ms total) [----------] 4 tests from UniformFillerTest/1, where TypeParam = double [ RUN ] UniformFillerTest/1.TestFill1D [ OK ] UniformFillerTest/1.TestFill1D (0 ms) [ RUN ] UniformFillerTest/1.TestFill5D [ OK ] UniformFillerTest/1.TestFill5D (0 ms) [ RUN ] UniformFillerTest/1.TestFill2D [ OK ] UniformFillerTest/1.TestFill2D (0 ms) [ RUN ] UniformFillerTest/1.TestFill [ OK ] UniformFillerTest/1.TestFill (0 ms) [----------] 4 tests from UniformFillerTest/1 (0 ms total) [----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/1.TestMaxGradient [ OK ] EltwiseLayerTest/1.TestMaxGradient (4 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeff [ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/1.TestSetUp [ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/1.TestStableProdGradient [ OK ] EltwiseLayerTest/1.TestStableProdGradient (4 ms) [ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient [ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (38 ms) [ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient [ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (5 ms) [ RUN ] EltwiseLayerTest/1.TestSum [ OK ] EltwiseLayerTest/1.TestSum (0 ms) [ RUN ] EltwiseLayerTest/1.TestSumGradient [ OK ] EltwiseLayerTest/1.TestSumGradient (5 ms) [ RUN ] EltwiseLayerTest/1.TestProd [ OK ] EltwiseLayerTest/1.TestProd (0 ms) [ RUN ] EltwiseLayerTest/1.TestMax [ OK ] EltwiseLayerTest/1.TestMax (1 ms) [----------] 10 tests from EltwiseLayerTest/1 (58 ms total) [----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/1.TestGradientForceND [ OK ] Im2colLayerTest/1.TestGradientForceND (818 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradient [ OK ] Im2colLayerTest/1.TestDilatedGradient (1314 ms) [ RUN ] Im2colLayerTest/1.TestRect [ OK ] Im2colLayerTest/1.TestRect (1 ms) [ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND [ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (2480 ms) [ RUN ] Im2colLayerTest/1.TestForward [ OK ] Im2colLayerTest/1.TestForward (0 ms) [ RUN ] Im2colLayerTest/1.TestRectGradient [ OK ] Im2colLayerTest/1.TestRectGradient (375 ms) [ RUN ] Im2colLayerTest/1.TestSetup [ OK ] Im2colLayerTest/1.TestSetup (0 ms) [ RUN ] Im2colLayerTest/1.TestGradient [ OK ] Im2colLayerTest/1.TestGradient (511 ms) [----------] 8 tests from Im2colLayerTest/1 (5499 ms total) [----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (23 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (107 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate [ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (43 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (103 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (87 ms) [ RUN ] SGDSolverTest/1.TestSnapshotShare [ OK ] SGDSolverTest/1.TestSnapshotShare (39 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (52 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (12 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (9 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (38 ms) [ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (107 ms) [ RUN ] SGDSolverTest/1.TestSnapshot [ OK ] SGDSolverTest/1.TestSnapshot (73 ms) [----------] 12 tests from SGDSolverTest/1 (693 ms total) [----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EltwiseLayerTest/0.TestSetUp [ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) [ RUN ] EltwiseLayerTest/0.TestSum [ OK ] EltwiseLayerTest/0.TestSum (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeff [ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) [ RUN ] EltwiseLayerTest/0.TestSumGradient [ OK ] EltwiseLayerTest/0.TestSumGradient (7 ms) [ RUN ] EltwiseLayerTest/0.TestStableProdGradient [ OK ] EltwiseLayerTest/0.TestStableProdGradient (6 ms) [ RUN ] EltwiseLayerTest/0.TestMax [ OK ] EltwiseLayerTest/0.TestMax (0 ms) [ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient [ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (5 ms) [ RUN ] EltwiseLayerTest/0.TestMaxGradient [ OK ] EltwiseLayerTest/0.TestMaxGradient (6 ms) [ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient [ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (6 ms) [ RUN ] EltwiseLayerTest/0.TestProd [ OK ] EltwiseLayerTest/0.TestProd (0 ms) [----------] 10 tests from EltwiseLayerTest/0 (30 ms total) [----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/1.TestSetupWithAxis [ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) [ RUN ] FlattenLayerTest/1.TestGradient [ OK ] FlattenLayerTest/1.TestGradient (3 ms) [ RUN ] FlattenLayerTest/1.TestForward [ OK ] FlattenLayerTest/1.TestForward (1 ms) [ RUN ] FlattenLayerTest/1.TestSetup [ OK ] FlattenLayerTest/1.TestSetup (0 ms) [ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis [ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/1 (4 ms total) [----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (5045 ms) [ RUN ] LSTMLayerTest/0.TestGradient [ OK ] LSTMLayerTest/0.TestGradient (495 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (443 ms) [ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (706 ms) [ RUN ] LSTMLayerTest/0.TestForward [ OK ] LSTMLayerTest/0.TestForward (79 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient [ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (50 ms) [ RUN ] LSTMLayerTest/0.TestSetUp [ OK ] LSTMLayerTest/0.TestSetUp (3 ms) [ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (75 ms) [----------] 9 tests from LSTMLayerTest/0 (6896 ms total) [----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy [ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy [ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (244 ms) [ RUN ] ContrastiveLossLayerTest/0.TestForward [ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) [ RUN ] ContrastiveLossLayerTest/0.TestGradient [ OK ] ContrastiveLossLayerTest/0.TestGradient (300 ms) [----------] 4 tests from ContrastiveLossLayerTest/0 (544 ms total) [----------] 4 tests from BlobSimpleTest/0, where TypeParam = float [ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/0.TestReshape [ OK ] BlobSimpleTest/0.TestReshape (0 ms) [ RUN ] BlobSimpleTest/0.TestReshapeZero [ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) [ RUN ] BlobSimpleTest/0.TestInitialization [ OK ] BlobSimpleTest/0.TestInitialization (0 ms) [----------] 4 tests from BlobSimpleTest/0 (0 ms total) [----------] 4 tests from NetUpgradeTest [ RUN ] NetUpgradeTest.TestSimple [ OK ] NetUpgradeTest.TestSimple (1 ms) [ RUN ] NetUpgradeTest.TestImageNet [ OK ] NetUpgradeTest.TestImageNet (4 ms) [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType [ OK ] NetUpgradeTest.TestUpgradeV1LayerType (27 ms) [ RUN ] NetUpgradeTest.TestAllParams [ OK ] NetUpgradeTest.TestAllParams (1 ms) [----------] 4 tests from NetUpgradeTest (34 ms total) [----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/1.TestSnapshotShare [ OK ] NesterovSolverTest/1.TestSnapshotShare (261 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (316 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (87 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (12 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (27 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (253 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (642 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (25 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (97 ms) [ RUN ] NesterovSolverTest/1.TestSnapshot [ OK ] NesterovSolverTest/1.TestSnapshot (18 ms) [ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (20 ms) [ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (8 ms) [----------] 12 tests from NesterovSolverTest/1 (1769 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/1.TestForwardEltwise [ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (309 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBias [ OK ] BiasLayerTest/1.TestForwardBias (1 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin [ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (125 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (168 ms) [ RUN ] BiasLayerTest/1.TestGradientEltwise [ OK ] BiasLayerTest/1.TestGradientEltwise (5 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd [ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd [ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (211 ms) [ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 [ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (127 ms) [ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (109 ms) [ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin [ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] BiasLayerTest/1.TestGradientBias [ OK ] BiasLayerTest/1.TestGradientBias (146 ms) [ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 [ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) [----------] 20 tests from BiasLayerTest/1 (1202 ms total) [----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/1.TestForwardEltwise [ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (180 ms) [ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (159 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (145 ms) [ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScale [ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientScale [ OK ] ScaleLayerTest/1.TestGradientScale (123 ms) [ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias [ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (173 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (335 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (511 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/1.TestGradientEltwise [ OK ] ScaleLayerTest/1.TestGradientEltwise (4 ms) [ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (158 ms) [ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) [----------] 22 tests from ScaleLayerTest/1 (1829 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (3 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (4 ms total) [----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/0.TestForward [ OK ] BatchNormLayerTest/0.TestForward (0 ms) [ RUN ] BatchNormLayerTest/0.TestForwardInplace [ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/0.TestGradient [ OK ] BatchNormLayerTest/0.TestGradient (316 ms) [----------] 3 tests from BatchNormLayerTest/0 (316 ms total) [----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/1.TestSnapshotShare [ OK ] RMSPropSolverTest/1.TestSnapshotShare (77 ms) [ RUN ] RMSPropSolverTest/1.TestSnapshot [ OK ] RMSPropSolverTest/1.TestSnapshot (24 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (89 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (12 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (140 ms) [ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (109 ms) [ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [----------] 8 tests from RMSPropSolverTest/1 (459 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (19 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (58 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot [ OK ] AdaDeltaSolverTest/1.TestSnapshot (50 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (102 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (23 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare [ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (32 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (120 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (96 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (19 ms) [----------] 11 tests from AdaDeltaSolverTest/1 (526 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float [ RUN ] GaussianFillerTest/0.TestFill [ OK ] GaussianFillerTest/0.TestFill (0 ms) [ RUN ] GaussianFillerTest/0.TestFill5D [ OK ] GaussianFillerTest/0.TestFill5D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill2D [ OK ] GaussianFillerTest/0.TestFill2D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill1D [ OK ] GaussianFillerTest/0.TestFill1D (0 ms) [----------] 4 tests from GaussianFillerTest/0 (2 ms total) [----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BiasLayerTest/0.TestForwardBias [ OK ] BiasLayerTest/0.TestForwardBias (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam [ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (280 ms) [ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (1 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd [ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (172 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBias [ OK ] BiasLayerTest/0.TestGradientBias (127 ms) [ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 [ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (133 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin [ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (175 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace [ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (1 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd [ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (195 ms) [ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin [ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle [ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (178 ms) [ RUN ] BiasLayerTest/0.TestForwardEltwise [ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) [ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 [ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) [ RUN ] BiasLayerTest/0.TestGradientEltwise [ OK ] BiasLayerTest/0.TestGradientEltwise (4 ms) [----------] 20 tests from BiasLayerTest/0 (1273 ms total) [----------] 2 tests from BilinearFillerTest/1, where TypeParam = double [ RUN ] BilinearFillerTest/1.TestFillEven [ OK ] BilinearFillerTest/1.TestFillEven (10 ms) [ RUN ] BilinearFillerTest/1.TestFillOdd [ OK ] BilinearFillerTest/1.TestFillOdd (13 ms) [----------] 2 tests from BilinearFillerTest/1 (23 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 (6 ms) [----------] 1 test from ProtoTest (6 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 (360 ms) [----------] 3 tests from FilterLayerTest/0 (360 ms total) [----------] 4 tests from ConstantFillerTest/1, where TypeParam = double [ RUN ] ConstantFillerTest/1.TestFill1D [ OK ] ConstantFillerTest/1.TestFill1D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill5D [ OK ] ConstantFillerTest/1.TestFill5D (0 ms) [ RUN ] ConstantFillerTest/1.TestFill [ OK ] ConstantFillerTest/1.TestFill (0 ms) [ RUN ] ConstantFillerTest/1.TestFill2D [ OK ] ConstantFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from ConstantFillerTest/1 (0 ms total) [----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/1.TestForward [ OK ] HDF5OutputLayerTest/1.TestForward (4 ms) [----------] 1 test from HDF5OutputLayerTest/1 (4 ms total) [----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly [ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (3 ms) [ RUN ] ConcatLayerTest/1.TestSetupNum [ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardTrivial [ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardChannels [ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannels [ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) [ RUN ] ConcatLayerTest/1.TestGradientTrivial [ OK ] ConcatLayerTest/1.TestGradientTrivial (3 ms) [ RUN ] ConcatLayerTest/1.TestGradientNum [ OK ] ConcatLayerTest/1.TestGradientNum (5 ms) [ RUN ] ConcatLayerTest/1.TestGradientChannels [ OK ] ConcatLayerTest/1.TestGradientChannels (6 ms) [ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing [ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) [ RUN ] ConcatLayerTest/1.TestForwardNum [ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) [----------] 10 tests from ConcatLayerTest/1 (19 ms total) [----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/0.TestForward [ OK ] MaxPoolingDropoutTest/0.TestForward (1 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) [----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (6 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (55 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (139 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (98 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare [ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (26 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) [ RUN ] AdaDeltaSolverTest/0.TestSnapshot [ OK ] AdaDeltaSolverTest/0.TestSnapshot (51 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (39 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (13 ms) [ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (127 ms) [ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate [ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (19 ms) [----------] 11 tests from AdaDeltaSolverTest/0 (576 ms total) [----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/1.TestGradientChannels [ OK ] TileLayerTest/1.TestGradientChannels (420 ms) [ RUN ] TileLayerTest/1.TestForwardChannels [ OK ] TileLayerTest/1.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/1.TestSetup [ OK ] TileLayerTest/1.TestSetup (0 ms) [ RUN ] TileLayerTest/1.TestGradientNum [ OK ] TileLayerTest/1.TestGradientNum (393 ms) [ RUN ] TileLayerTest/1.TestTrivialGradient [ OK ] TileLayerTest/1.TestTrivialGradient (115 ms) [ RUN ] TileLayerTest/1.TestTrivialSetup [ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) [ RUN ] TileLayerTest/1.TestForwardNum [ OK ] TileLayerTest/1.TestForwardNum (1 ms) [----------] 7 tests from TileLayerTest/1 (930 ms total) [----------] 6 tests from MSRAFillerTest/1, where TypeParam = double [ RUN ] MSRAFillerTest/1.TestFill5D [ OK ] MSRAFillerTest/1.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill1D [ OK ] MSRAFillerTest/1.TestFill1D (0 ms) [ RUN ] MSRAFillerTest/1.TestFill2D [ OK ] MSRAFillerTest/1.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/1.TestFillFanIn [ OK ] MSRAFillerTest/1.TestFillFanIn (116 ms) [ RUN ] MSRAFillerTest/1.TestFillFanOut [ OK ] MSRAFillerTest/1.TestFillFanOut (135 ms) [ RUN ] MSRAFillerTest/1.TestFillAverage [ OK ] MSRAFillerTest/1.TestFillAverage (118 ms) [----------] 6 tests from MSRAFillerTest/1 (369 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) [----------] 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 (1088 ms) [ RUN ] PoolingLayerTest/0.TestSetup [ OK ] PoolingLayerTest/0.TestSetup (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMax [ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask [ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAve [ OK ] PoolingLayerTest/0.TestGradientAve (348 ms) [ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling [ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask [ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (863 ms) [ RUN ] PoolingLayerTest/0.TestForwardAve [ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/0.TestSetupPadded [ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/0.TestGradientAvePadded [ OK ] PoolingLayerTest/0.TestGradientAvePadded (1325 ms) [----------] 11 tests from PoolingLayerTest/0 (3625 ms total) [----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenValues [ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/0.TestForward [ OK ] ReshapeLayerTest/0.TestForward (1 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/0.TestFlattenMiddle [ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape [ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/0.TestGradient [ OK ] ReshapeLayerTest/0.TestGradient (3 ms) [ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/0.TestCopyDimensions [ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) [----------] 12 tests from ReshapeLayerTest/0 (4 ms total) [----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/1.TestSetUp [ OK ] RNNLayerTest/1.TestSetUp (2 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1517 ms) [ RUN ] RNNLayerTest/1.TestGradient [ OK ] RNNLayerTest/1.TestGradient (196 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroCont [ OK ] RNNLayerTest/1.TestGradientNonZeroCont (190 ms) [ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (353 ms) [ RUN ] RNNLayerTest/1.TestForward [ OK ] RNNLayerTest/1.TestForward (7 ms) [----------] 6 tests from RNNLayerTest/1 (2266 ms total) [----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float [ RUN ] DummyDataLayerTest/0.TestTwoTopConstant [ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestOneTopConstant [ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/0 (1 ms total) [----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/1.TestEqualOutputDims [ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/1.TestSetup [ OK ] SPPLayerTest/1.TestSetup (0 ms) [ RUN ] SPPLayerTest/1.TestForwardBackward [ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/1.TestGradient [ OK ] SPPLayerTest/1.TestGradient (3131 ms) [ RUN ] SPPLayerTest/1.TestEqualOutputDims2 [ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) [----------] 5 tests from SPPLayerTest/1 (3131 ms total) [----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] Im2colLayerTest/0.TestGradient [ OK ] Im2colLayerTest/0.TestGradient (429 ms) [ RUN ] Im2colLayerTest/0.TestForward [ OK ] Im2colLayerTest/0.TestForward (0 ms) [ RUN ] Im2colLayerTest/0.TestRect [ OK ] Im2colLayerTest/0.TestRect (0 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND [ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (2485 ms) [ RUN ] Im2colLayerTest/0.TestSetup [ OK ] Im2colLayerTest/0.TestSetup (0 ms) [ RUN ] Im2colLayerTest/0.TestRectGradient [ OK ] Im2colLayerTest/0.TestRectGradient (388 ms) [ RUN ] Im2colLayerTest/0.TestGradientForceND [ OK ] Im2colLayerTest/0.TestGradientForceND (857 ms) [ RUN ] Im2colLayerTest/0.TestDilatedGradient [ OK ] Im2colLayerTest/0.TestDilatedGradient (1407 ms) [----------] 8 tests from Im2colLayerTest/0 (5567 ms total) [----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ImageDataLayerTest/0.TestResize [ OK ] ImageDataLayerTest/0.TestResize (194 ms) [ RUN ] ImageDataLayerTest/0.TestRead [ OK ] ImageDataLayerTest/0.TestRead (208 ms) [ RUN ] ImageDataLayerTest/0.TestShuffle [ OK ] ImageDataLayerTest/0.TestShuffle (247 ms) [ RUN ] ImageDataLayerTest/0.TestReshape [ OK ] ImageDataLayerTest/0.TestReshape (87 ms) [ RUN ] ImageDataLayerTest/0.TestSpace [ OK ] ImageDataLayerTest/0.TestSpace (39 ms) [----------] 5 tests from ImageDataLayerTest/0 (775 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/0.TestLossWeight [ OK ] NetTest/0.TestLossWeight (4 ms) [ RUN ] NetTest/0.TestParamPropagateDown [ OK ] NetTest/0.TestParamPropagateDown (2 ms) [ RUN ] NetTest/0.TestHasBlob [ OK ] NetTest/0.TestHasBlob (0 ms) [ RUN ] NetTest/0.TestBottomNeedBackward [ OK ] NetTest/0.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/0.TestComboLossWeight [ OK ] NetTest/0.TestComboLossWeight (3 ms) [ RUN ] NetTest/0.TestSkipPropagateDown [ OK ] NetTest/0.TestSkipPropagateDown (2 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDataNet [ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestFromTo [ OK ] NetTest/0.TestFromTo (3 ms) [ RUN ] NetTest/0.TestSharedWeightsUpdate [ OK ] NetTest/0.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet [ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestSharedWeightsResume [ OK ] NetTest/0.TestSharedWeightsResume (9 ms) [ RUN ] NetTest/0.TestSharedWeightsDiffNet [ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) [ RUN ] NetTest/0.TestHasLayer [ OK ] NetTest/0.TestHasLayer (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce [ OK ] NetTest/0.TestBottomNeedBackwardForce (1 ms) [ RUN ] NetTest/0.TestLossWeightMidNet [ OK ] NetTest/0.TestLossWeightMidNet (7 ms) [ RUN ] NetTest/0.TestForcePropagateDown [ OK ] NetTest/0.TestForcePropagateDown (1 ms) [ RUN ] NetTest/0.TestReshape [ OK ] NetTest/0.TestReshape (2 ms) [ RUN ] NetTest/0.TestGetLayerByName [ OK ] NetTest/0.TestGetLayerByName (1 ms) [ RUN ] NetTest/0.TestGetBlob [ OK ] NetTest/0.TestGetBlob (1 ms) [ RUN ] NetTest/0.TestBackwardWithAccuracyLayer [ OK ] NetTest/0.TestBackwardWithAccuracyLayer (2 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) [ RUN ] NetTest/0.TestAllInOneNetVal [ OK ] NetTest/0.TestAllInOneNetVal (1 ms) [ RUN ] NetTest/0.TestAllInOneNetTrain [ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardTricky [ OK ] NetTest/0.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/0.TestAllInOneNetDeploy [ OK ] NetTest/0.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/0.TestSharedWeightsDataNet [ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) [----------] 26 tests from NetTest/0 (59 ms total) [----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/1.TestSkip [ OK ] HDF5DataLayerTest/1.TestSkip (22 ms) [ RUN ] HDF5DataLayerTest/1.TestRead [ OK ] HDF5DataLayerTest/1.TestRead (5 ms) [----------] 2 tests from HDF5DataLayerTest/1 (28 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) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SPPLayerTest/0.TestForwardBackward [ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/0.TestGradient [ OK ] SPPLayerTest/0.TestGradient (3385 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims2 [ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [----------] 5 tests from SPPLayerTest/0 (3385 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/0.TestReadLevelDB [ OK ] DataLayerTest/0.TestReadLevelDB (7 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (4 ms) [ RUN ] DataLayerTest/0.TestReshapeLevelDB [ OK ] DataLayerTest/0.TestReshapeLevelDB (4 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (6 ms) [ RUN ] DataLayerTest/0.TestSkipLMDB [ OK ] DataLayerTest/0.TestSkipLMDB (5 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLMDB [ OK ] DataLayerTest/0.TestReadCropTestLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainLMDB [ OK ] DataLayerTest/0.TestReadCropTrainLMDB (20 ms) [ RUN ] DataLayerTest/0.TestSkipLevelDB [ OK ] DataLayerTest/0.TestSkipLevelDB (47 ms) [ RUN ] DataLayerTest/0.TestReadCropTestLevelDB [ OK ] DataLayerTest/0.TestReadCropTestLevelDB (5 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (7 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReshapeLMDB [ OK ] DataLayerTest/0.TestReshapeLMDB (2 ms) [ RUN ] DataLayerTest/0.TestReadLMDB [ OK ] DataLayerTest/0.TestReadLMDB (3 ms) [----------] 14 tests from DataLayerTest/0 (117 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.TestPowerOne [ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoGradient [ OK ] PowerLayerTest/0.TestPowerTwoGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient [ OK ] PowerLayerTest/0.TestPowerZeroGradient (1 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero [ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) [ RUN ] PowerLayerTest/0.TestPowerOneGradient [ OK ] PowerLayerTest/0.TestPowerOneGradient (1 ms) [ RUN ] PowerLayerTest/0.TestPower [ OK ] PowerLayerTest/0.TestPower (0 ms) [----------] 10 tests from PowerLayerTest/0 (14 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 (252 ms) [----------] 2 tests from SoftmaxLayerTest/1 (253 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) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling [ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask [ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) [ RUN ] PoolingLayerTest/1.TestSetup [ OK ] PoolingLayerTest/1.TestSetup (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardAve [ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) [ RUN ] PoolingLayerTest/1.TestForwardMax [ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) [ RUN ] PoolingLayerTest/1.TestGradientAvePadded [ OK ] PoolingLayerTest/1.TestGradientAvePadded (1463 ms) [ RUN ] PoolingLayerTest/1.TestGradientMax [ OK ] PoolingLayerTest/1.TestGradientMax (1033 ms) [ RUN ] PoolingLayerTest/1.TestGradientAve [ OK ] PoolingLayerTest/1.TestGradientAve (325 ms) [ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask [ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (789 ms) [ RUN ] PoolingLayerTest/1.TestForwardMaxPadded [ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) [----------] 11 tests from PoolingLayerTest/1 (3611 ms total) [----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/0.TestCreateSolver [ OK ] SolverFactoryTest/0.TestCreateSolver (2 ms) [----------] 1 test from SolverFactoryTest/0 (2 ms total) [----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SolverFactoryTest/1.TestCreateSolver [ OK ] SolverFactoryTest/1.TestCreateSolver (1 ms) [----------] 1 test from SolverFactoryTest/1 (1 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float [ RUN ] XavierFillerTest/0.TestFillFanIn [ OK ] XavierFillerTest/0.TestFillFanIn (76 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) [ RUN ] XavierFillerTest/0.TestFillAverage [ OK ] XavierFillerTest/0.TestFillAverage (67 ms) [ RUN ] XavierFillerTest/0.TestFill5D [ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFill2D [ OK ] XavierFillerTest/0.TestFill2D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanOut [ OK ] XavierFillerTest/0.TestFillFanOut (55 ms) [----------] 6 tests from XavierFillerTest/0 (198 ms total) [----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LRNLayerTest/1.TestSetupWithinChannel [ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannels [ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1344 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) [ RUN ] LRNLayerTest/1.TestGradientWithinChannel [ OK ] LRNLayerTest/1.TestGradientWithinChannel (1164 ms) [ RUN ] LRNLayerTest/1.TestForwardWithinChannel [ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) [ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1700 ms) [ RUN ] LRNLayerTest/1.TestForwardAcrossChannels [ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) [ RUN ] LRNLayerTest/1.TestSetupAcrossChannels [ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) [----------] 8 tests from LRNLayerTest/1 (4209 ms total) [----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BlobMathTest/1.TestSumOfSquares [ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [ RUN ] BlobMathTest/1.TestAsum [ OK ] BlobMathTest/1.TestAsum (0 ms) [----------] 3 tests from BlobMathTest/1 (8 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (0 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (26 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (11 ms) [ RUN ] SoftmaxWithLossLayerTest/0.TestGradient [ OK ] SoftmaxWithLossLayerTest/0.TestGradient (10 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/0 (47 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate [ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (21 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (121 ms) [ RUN ] SGDSolverTest/0.TestSnapshot [ OK ] SGDSolverTest/0.TestSnapshot (20 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (113 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (111 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (50 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (15 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (92 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum [ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (65 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare [ OK ] SGDSolverTest/0.TestSnapshotShare (28 ms) [----------] 12 tests from SGDSolverTest/0 (643 ms total) [----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/1.TestGradientAcrossNum [ OK ] SliceLayerTest/1.TestGradientAcrossNum (62 ms) [ RUN ] SliceLayerTest/1.TestSetupChannels [ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/1.TestTrivialSlice [ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/1.TestGradientTrivial [ OK ] SliceLayerTest/1.TestGradientTrivial (15 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossChannels [ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) [ RUN ] SliceLayerTest/1.TestSliceAcrossNum [ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) [ RUN ] SliceLayerTest/1.TestSetupNum [ OK ] SliceLayerTest/1.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/1.TestGradientAcrossChannels [ OK ] SliceLayerTest/1.TestGradientAcrossChannels (70 ms) [----------] 8 tests from SliceLayerTest/1 (147 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double [ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/1 (1 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward [ OK ] HDF5OutputLayerTest/0.TestForward (4 ms) [----------] 1 test from HDF5OutputLayerTest/0 (4 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 (1 ms) [----------] 4 tests from GaussianFillerTest/1 (2 ms total) [----------] 8 tests from SplitLayerInsertionTest [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace [ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion [ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestWithInPlace [ OK ] SplitLayerInsertionTest.TestWithInPlace (1 ms) [ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop [ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 [ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion [ OK ] SplitLayerInsertionTest.TestInsertion (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet [ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (3 ms) [----------] 8 tests from SplitLayerInsertionTest (6 ms total) [----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/1.TestCreateLayer [ OK ] LayerFactoryTest/1.TestCreateLayer (28 ms) [----------] 1 test from LayerFactoryTest/1 (28 ms total) [----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/1.TestSetUp [ OK ] ReductionLayerTest/1.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeff [ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumGradient [ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumGradient [ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/1.TestMeanGradient [ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSum [ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) [ RUN ] ReductionLayerTest/1.TestMean [ OK ] ReductionLayerTest/1.TestMean (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeff [ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient [ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquares [ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (0 ms) [ RUN ] ReductionLayerTest/1.TestSum [ OK ] ReductionLayerTest/1.TestSum (0 ms) [ RUN ] ReductionLayerTest/1.TestSumCoeffGradient [ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/1.TestAbsSumCoeff [ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) [----------] 27 tests from ReductionLayerTest/1 (19 ms total) [----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxWithLossLayerTest/1.TestGradient [ OK ] SoftmaxWithLossLayerTest/1.TestGradient (11 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (8 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel [ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized [ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (8 ms) [----------] 4 tests from SoftmaxWithLossLayerTest/1 (27 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ReductionLayerTest/0.TestAbsSumCoeff [ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUp [ OK ] ReductionLayerTest/0.TestSetUp (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (12 ms) [ RUN ] ReductionLayerTest/0.TestAbsSum [ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanGradient [ OK ] ReductionLayerTest/0.TestMeanGradient (13 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient [ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 [ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient [ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) [----------] 27 tests from ReductionLayerTest/0 (40 ms total) [----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (44 ms) [ RUN ] LSTMLayerTest/1.TestGradient [ OK ] LSTMLayerTest/1.TestGradient (373 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient [ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (75 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (752 ms) [ RUN ] LSTMLayerTest/1.TestForward [ OK ] LSTMLayerTest/1.TestForward (4 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (4545 ms) [ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont [ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (405 ms) [ RUN ] LSTMLayerTest/1.TestSetUp [ OK ] LSTMLayerTest/1.TestSetUp (2 ms) [ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp [ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) [----------] 9 tests from LSTMLayerTest/1 (6200 ms total) [----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] CropLayerTest/0.TestSetupShapeDefault [ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) [ RUN ] CropLayerTest/0.TestDimensionsCheck [ OK ] CropLayerTest/0.TestDimensionsCheck (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.TestCropAllOffset [ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) [ RUN ] CropLayerTest/0.TestCropAllGradient [ OK ] CropLayerTest/0.TestCropAllGradient (345 ms) [ RUN ] CropLayerTest/0.TestCrop5DGradient [ OK ] CropLayerTest/0.TestCrop5DGradient (2082 ms) [ RUN ] CropLayerTest/0.TestCropHW [ OK ] CropLayerTest/0.TestCropHW (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing [ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) [ RUN ] CropLayerTest/0.TestSetupShapeAll [ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) [ RUN ] CropLayerTest/0.TestCropHWGradient [ OK ] CropLayerTest/0.TestCropHWGradient (595 ms) [----------] 11 tests from CropLayerTest/0 (3022 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/1, where TypeParam = double [ RUN ] CPUStochasticPoolingLayerTest/1.TestSetup [ OK ] CPUStochasticPoolingLayerTest/1.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/1 (0 ms total) [----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5DataLayerTest/0.TestRead [ OK ] HDF5DataLayerTest/0.TestRead (8 ms) [ RUN ] HDF5DataLayerTest/0.TestSkip [ OK ] HDF5DataLayerTest/0.TestSkip (54 ms) [----------] 2 tests from HDF5DataLayerTest/0 (62 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float [ RUN ] MSRAFillerTest/0.TestFillAverage [ OK ] MSRAFillerTest/0.TestFillAverage (104 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut [ OK ] MSRAFillerTest/0.TestFillFanOut (117 ms) [ RUN ] MSRAFillerTest/0.TestFill2D [ OK ] MSRAFillerTest/0.TestFill2D (0 ms) [ RUN ] MSRAFillerTest/0.TestFill5D [ OK ] MSRAFillerTest/0.TestFill5D (0 ms) [ RUN ] MSRAFillerTest/0.TestFillFanIn [ OK ] MSRAFillerTest/0.TestFillFanIn (167 ms) [ RUN ] MSRAFillerTest/0.TestFill1D [ OK ] MSRAFillerTest/0.TestFill1D (0 ms) [----------] 6 tests from MSRAFillerTest/0 (389 ms total) [----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (1 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) [ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/0 (3 ms total) [----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InfogainLossLayerTest/1.TestGradient [ OK ] InfogainLossLayerTest/1.TestGradient (3 ms) [ RUN ] InfogainLossLayerTest/1.TestInfogainLoss [ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) [----------] 2 tests from InfogainLossLayerTest/1 (3 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/0.TestForward [ OK ] MemoryDataLayerTest/0.TestForward (37 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (1 ms) [ RUN ] MemoryDataLayerTest/0.TestSetup [ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) [----------] 5 tests from MemoryDataLayerTest/0 (40 ms total) [----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConcatLayerTest/0.TestGradientTrivial [ OK ] ConcatLayerTest/0.TestGradientTrivial (3 ms) [ RUN ] ConcatLayerTest/0.TestForwardNum [ OK ] ConcatLayerTest/0.TestForwardNum (0 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 (4 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.TestGradientChannels [ OK ] ConcatLayerTest/0.TestGradientChannels (3 ms) [ RUN ] ConcatLayerTest/0.TestForwardTrivial [ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) [----------] 10 tests from ConcatLayerTest/0 (12 ms total) [----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SolverTest/0.TestInitTrainTestNets [ OK ] SolverTest/0.TestInitTrainTestNets (2 ms) [----------] 1 test from SolverTest/0 (2 ms total) [----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HingeLossLayerTest/0.TestGradientL1 [ OK ] HingeLossLayerTest/0.TestGradientL1 (0 ms) [ RUN ] HingeLossLayerTest/0.TestGradientL2 [ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) [----------] 2 tests from HingeLossLayerTest/0 (0 ms total) [----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float [ RUN ] CPUMathFunctionsTest/0.TestCopy [ OK ] CPUMathFunctionsTest/0.TestCopy (3 ms) [ RUN ] CPUMathFunctionsTest/0.TestScale [ OK ] CPUMathFunctionsTest/0.TestScale (24 ms) [ RUN ] CPUMathFunctionsTest/0.TestSgnbit [ OK ] CPUMathFunctionsTest/0.TestSgnbit (5 ms) [ RUN ] CPUMathFunctionsTest/0.TestFabs [ OK ] CPUMathFunctionsTest/0.TestFabs (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestSign [ OK ] CPUMathFunctionsTest/0.TestSign (5 ms) [ RUN ] CPUMathFunctionsTest/0.TestNothing [ OK ] CPUMathFunctionsTest/0.TestNothing (4 ms) [ RUN ] CPUMathFunctionsTest/0.TestAsum [ OK ] CPUMathFunctionsTest/0.TestAsum (7 ms) [----------] 7 tests from CPUMathFunctionsTest/0 (53 ms total) [----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes [ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) [ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape [ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) [ RUN ] ReshapeLayerTest/1.TestCopyDimensions [ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenValues [ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) [ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified [ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) [ RUN ] ReshapeLayerTest/1.TestFlattenMiddle [ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) [ RUN ] ReshapeLayerTest/1.TestForward [ OK ] ReshapeLayerTest/1.TestForward (0 ms) [ RUN ] ReshapeLayerTest/1.TestGradient [ OK ] ReshapeLayerTest/1.TestGradient (4 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) [ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart [ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) [----------] 12 tests from ReshapeLayerTest/1 (4 ms total) [----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/1.TestGradient [ OK ] MVNLayerTest/1.TestGradient (498 ms) [ RUN ] MVNLayerTest/1.TestForward [ OK ] MVNLayerTest/1.TestForward (0 ms) [ RUN ] MVNLayerTest/1.TestGradientMeanOnly [ OK ] MVNLayerTest/1.TestGradientMeanOnly (137 ms) [ RUN ] MVNLayerTest/1.TestGradientAcrossChannels [ OK ] MVNLayerTest/1.TestGradientAcrossChannels (480 ms) [ RUN ] MVNLayerTest/1.TestForwardMeanOnly [ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) [ RUN ] MVNLayerTest/1.TestForwardAcrossChannels [ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) [----------] 6 tests from MVNLayerTest/1 (1124 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (14 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (45 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshotShare [ OK ] AdaGradSolverTest/0.TestSnapshotShare (45 ms) [ RUN ] AdaGradSolverTest/0.TestSnapshot [ OK ] AdaGradSolverTest/0.TestSnapshot (25 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (108 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (117 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay [ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (28 ms) [ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [----------] 9 tests from AdaGradSolverTest/0 (391 ms total) [----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (288 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput [ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1523 ms) [ RUN ] RNNLayerTest/0.TestGradientNonZeroCont [ OK ] RNNLayerTest/0.TestGradientNonZeroCont (168 ms) [ RUN ] RNNLayerTest/0.TestGradient [ OK ] RNNLayerTest/0.TestGradient (147 ms) [ RUN ] RNNLayerTest/0.TestForward [ OK ] RNNLayerTest/0.TestForward (26 ms) [ RUN ] RNNLayerTest/0.TestSetUp [ OK ] RNNLayerTest/0.TestSetUp (2 ms) [----------] 6 tests from RNNLayerTest/0 (2154 ms total) [----------] 3 tests from PaddingLayerUpgradeTest [ RUN ] PaddingLayerUpgradeTest.TestImageNet [ OK ] PaddingLayerUpgradeTest.TestImageNet (3 ms) [ RUN ] PaddingLayerUpgradeTest.TestSimple [ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) [ RUN ] PaddingLayerUpgradeTest.TestTwoTops [ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) [----------] 3 tests from PaddingLayerUpgradeTest (5 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NeuronLayerTest/0.TestExpGradient [ OK ] NeuronLayerTest/0.TestExpGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient [ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestAbsGradient [ OK ] NeuronLayerTest/0.TestAbsGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestELUGradient [ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestPReLUParam [ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUGradient [ OK ] NeuronLayerTest/0.TestPReLUGradient (199 ms) [ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (1 ms) [ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters [ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestDropoutTestPhase [ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift [ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared [ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) [ RUN ] NeuronLayerTest/0.TestSwish [ OK ] NeuronLayerTest/0.TestSwish (0 ms) [ RUN ] NeuronLayerTest/0.TestSwishWithBeta [ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope [ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (2 ms) [ RUN ] NeuronLayerTest/0.TestTanHGradient [ OK ] NeuronLayerTest/0.TestTanHGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestBNLLGradient [ OK ] NeuronLayerTest/0.TestBNLLGradient (4 ms) [ RUN ] NeuronLayerTest/0.TestClip [ OK ] NeuronLayerTest/0.TestClip (0 ms) [ RUN ] NeuronLayerTest/0.TestBNLL [ OK ] NeuronLayerTest/0.TestBNLL (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2 [ OK ] NeuronLayerTest/0.TestExpGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/0.TestReLUGradient [ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/0.TestLogGradient [ OK ] NeuronLayerTest/0.TestLogGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestSwishGradient [ OK ] NeuronLayerTest/0.TestSwishGradient (5 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2 [ OK ] NeuronLayerTest/0.TestExpLayerBase2 (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.TestPReLUGradientChannelShared [ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (212 ms) [ RUN ] NeuronLayerTest/0.TestClipGradient [ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestDropoutHalf [ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient [ OK ] NeuronLayerTest/0.TestSigmoidGradient (3 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerWithShift [ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (2 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradient [ OK ] NeuronLayerTest/0.TestDropoutGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestSigmoid [ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) [ RUN ] NeuronLayerTest/0.TestTanH [ OK ] NeuronLayerTest/0.TestTanH (0 ms) [ RUN ] NeuronLayerTest/0.TestAbsVal [ OK ] NeuronLayerTest/0.TestAbsVal (1 ms) [ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) [ RUN ] NeuronLayerTest/0.TestPReLUForward [ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest [ OK ] NeuronLayerTest/0.TestDropoutGradientTest (1 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLUGradient [ OK ] NeuronLayerTest/0.TestELUasReLUGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestSwishAsLinear [ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2 [ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (2 ms) [ RUN ] NeuronLayerTest/0.TestPReLUInPlace [ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestELUasReLU [ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestELU [ OK ] NeuronLayerTest/0.TestELU (0 ms) [ RUN ] NeuronLayerTest/0.TestLogLayer [ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 [ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) [----------] 58 tests from NeuronLayerTest/0 (482 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient [ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (0 ms) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (2 ms total) [----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam [ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (179 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam [ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (575 ms) [ RUN ] ScaleLayerTest/0.TestGradientEltwise [ OK ] ScaleLayerTest/0.TestGradientEltwise (4 ms) [ RUN ] ScaleLayerTest/0.TestForwardScale [ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 [ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias [ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (150 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin [ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (135 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace [ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd [ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd [ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (294 ms) [ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam [ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (145 ms) [ RUN ] ScaleLayerTest/0.TestGradientScale [ OK ] ScaleLayerTest/0.TestGradientScale (98 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin [ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) [ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (1 ms) [ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 [ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (143 ms) [ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace [ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) [ RUN ] ScaleLayerTest/0.TestForwardEltwise [ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) [----------] 22 tests from ScaleLayerTest/0 (1727 ms total) [----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double [ RUN ] ArgMaxLayerTest/1.TestSetup [ OK ] ArgMaxLayerTest/1.TestSetup (2 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal [ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal [ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPU [ OK ] ArgMaxLayerTest/1.TestCPU (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (38 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxis [ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxis [ OK ] ArgMaxLayerTest/1.TestCPUAxis (32 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK [ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (46 ms) [ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing [ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) [ RUN ] ArgMaxLayerTest/1.TestCPUTopK [ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) [----------] 12 tests from ArgMaxLayerTest/1 (128 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) [ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals [ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestReshape [ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice [ RUN ] NetTest/1.TestSharedWeightsUpdate [ OK ] NetTest/1.TestSharedWeightsUpdate (2 ms) [ RUN ] NetTest/1.TestGetLayerByName [ OK ] NetTest/1.TestGetLayerByName (1 ms) [ RUN ] NetTest/1.TestGetBlob [ OK ] NetTest/1.TestGetBlob (1 ms) [ RUN ] NetTest/1.TestBackwardWithAccuracyLayer [ OK ] NetTest/1.TestBackwardWithAccuracyLayer (2 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet [ OK ] NetTest/1.TestUnsharedWeightsDiffNet (1 ms) [ RUN ] NetTest/1.TestLossWeight [ OK ] NetTest/1.TestLossWeight (4 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardTricky [ OK ] NetTest/1.TestBottomNeedBackwardTricky (1 ms) [ RUN ] NetTest/1.TestLossWeightMidNet [ OK ] NetTest/1.TestLossWeightMidNet (4 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (0 ms) [ RUN ] NetTest/1.TestBottomNeedBackward [ OK ] NetTest/1.TestBottomNeedBackward (1 ms) [ RUN ] NetTest/1.TestParamPropagateDown [ OK ] NetTest/1.TestParamPropagateDown (2 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet [ OK ] NetTest/1.TestSharedWeightsDataNet (0 ms) [ RUN ] NetTest/1.TestSkipPropagateDown [ OK ] NetTest/1.TestSkipPropagateDown (1 ms) [ RUN ] NetTest/1.TestFromTo [ OK ] NetTest/1.TestFromTo (2 ms) [ RUN ] NetTest/1.TestSharedWeightsResume [ OK ] NetTest/1.TestSharedWeightsResume (1 ms) [ RUN ] NetTest/1.TestAllInOneNetTrain [ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) [ RUN ] NetTest/1.TestReshape [ OK ] NetTest/1.TestReshape (1 ms) [ RUN ] NetTest/1.TestComboLossWeight [ OK ] NetTest/1.TestComboLossWeight (18 ms) [ RUN ] NetTest/1.TestAllInOneNetVal [ OK ] NetTest/1.TestAllInOneNetVal (1 ms) [ RUN ] NetTest/1.TestHasBlob [ OK ] NetTest/1.TestHasBlob (2 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardForce [ OK ] NetTest/1.TestBottomNeedBackwardForce (1 ms) [ RUN ] NetTest/1.TestHasLayer [ OK ] NetTest/1.TestHasLayer (1 ms) [ RUN ] NetTest/1.TestSharedWeightsDiffNet [ OK ] NetTest/1.TestSharedWeightsDiffNet (0 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet [ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/1.TestAllInOneNetDeploy [ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) [ RUN ] NetTest/1.TestForcePropagateDown [ OK ] NetTest/1.TestForcePropagateDown (1 ms) [----------] 26 tests from NetTest/1 (62 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 (7 ms) [ RUN ] SplitLayerTest/0.Test [ OK ] SplitLayerTest/0.Test (0 ms) [----------] 3 tests from SplitLayerTest/0 (8 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 (187 ms) [----------] 2 tests from BatchReindexLayerTest/1 (187 ms total) [----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (1 ms) [ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1453 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient [ OK ] DeconvolutionLayerTest/0.TestGradient (1004 ms) [ RUN ] DeconvolutionLayerTest/0.TestGradient3D [ OK ] DeconvolutionLayerTest/0.TestGradient3D (369 ms) [ RUN ] DeconvolutionLayerTest/0.TestSetup [ OK ] DeconvolutionLayerTest/0.TestSetup (1 ms) [----------] 5 tests from DeconvolutionLayerTest/0 (2828 ms total) [----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BenchmarkTest/0.TestTimerStop [ OK ] BenchmarkTest/0.TestTimerStop (0 ms) [ RUN ] BenchmarkTest/0.TestTimerMilliSeconds [ OK ] BenchmarkTest/0.TestTimerMilliSeconds (300 ms) [ RUN ] BenchmarkTest/0.TestTimerConstructor [ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) [ RUN ] BenchmarkTest/0.TestTimerSeconds [ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) [ RUN ] BenchmarkTest/0.TestTimerStart [ OK ] BenchmarkTest/0.TestTimerStart (0 ms) [----------] 5 tests from BenchmarkTest/0 (600 ms total) [----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/0.TestTanHOverflow [ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/0.TestTanH [ OK ] TanHLayerTest/0.TestTanH (1 ms) [ RUN ] TanHLayerTest/0.TestTanHGradient [ OK ] TanHLayerTest/0.TestTanHGradient (4 ms) [----------] 3 tests from TanHLayerTest/0 (5 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) [ RUN ] ThresholdLayerTest/0.Test2 [ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (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.TestGradientAcrossChannelsLargeRegion [ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1428 ms) [ RUN ] LRNLayerTest/0.TestSetupAcrossChannels [ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) [ RUN ] LRNLayerTest/0.TestSetupWithinChannel [ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) [ RUN ] LRNLayerTest/0.TestGradientAcrossChannels [ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1188 ms) [ RUN ] LRNLayerTest/0.TestGradientWithinChannel [ OK ] LRNLayerTest/0.TestGradientWithinChannel (797 ms) [ RUN ] LRNLayerTest/0.TestForwardWithinChannel [ OK ] LRNLayerTest/0.TestForwardWithinChannel (1 ms) [ RUN ] LRNLayerTest/0.TestForwardAcrossChannels [ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) [----------] 8 tests from LRNLayerTest/0 (3415 ms total) [----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] TanHLayerTest/1.TestTanHOverflow [ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) [ RUN ] TanHLayerTest/1.TestTanHGradient [ OK ] TanHLayerTest/1.TestTanHGradient (5 ms) [ RUN ] TanHLayerTest/1.TestTanH [ OK ] TanHLayerTest/1.TestTanH (0 ms) [----------] 3 tests from TanHLayerTest/1 (5 ms total) [----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SoftmaxLayerTest/0.TestGradient [ OK ] SoftmaxLayerTest/0.TestGradient (261 ms) [ RUN ] SoftmaxLayerTest/0.TestForward [ OK ] SoftmaxLayerTest/0.TestForward (0 ms) [----------] 2 tests from SoftmaxLayerTest/0 (261 ms total) [----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution [ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient [ OK ] DeconvolutionLayerTest/1.TestGradient (960 ms) [ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D [ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1588 ms) [ RUN ] DeconvolutionLayerTest/1.TestSetup [ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) [ RUN ] DeconvolutionLayerTest/1.TestGradient3D [ OK ] DeconvolutionLayerTest/1.TestGradient3D (337 ms) [----------] 5 tests from DeconvolutionLayerTest/1 (2885 ms total) [----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] FlattenLayerTest/0.TestForward [ OK ] FlattenLayerTest/0.TestForward (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithAxis [ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetup [ OK ] FlattenLayerTest/0.TestSetup (0 ms) [ RUN ] FlattenLayerTest/0.TestGradient [ OK ] FlattenLayerTest/0.TestGradient (4 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) [ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis [ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) [----------] 6 tests from FlattenLayerTest/0 (4 ms total) [----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double [ RUN ] PositiveUnitballFillerTest/1.TestFill5D [ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill [ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill1D [ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) [ RUN ] PositiveUnitballFillerTest/1.TestFill2D [ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) [----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] TileLayerTest/0.TestTrivialGradient [ OK ] TileLayerTest/0.TestTrivialGradient (107 ms) [ RUN ] TileLayerTest/0.TestGradientNum [ OK ] TileLayerTest/0.TestGradientNum (347 ms) [ RUN ] TileLayerTest/0.TestSetup [ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) [ RUN ] TileLayerTest/0.TestGradientChannels [ OK ] TileLayerTest/0.TestGradientChannels (363 ms) [ RUN ] TileLayerTest/0.TestTrivialSetup [ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) [----------] 7 tests from TileLayerTest/0 (818 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradient [ OK ] InnerProductLayerTest/1.TestGradient (189 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) [ RUN ] InnerProductLayerTest/1.TestForwardTranspose [ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestGradientTranspose [ OK ] InnerProductLayerTest/1.TestGradientTranspose (218 ms) [ RUN ] InnerProductLayerTest/1.TestBackwardTranspose [ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/1.TestForward [ OK ] InnerProductLayerTest/1.TestForward (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUp [ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) [----------] 9 tests from InnerProductLayerTest/1 (408 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (0 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (0 ms total) [----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice [ RUN ] LayerFactoryTest/0.TestCreateLayer [ OK ] LayerFactoryTest/0.TestCreateLayer (79 ms) [----------] 1 test from LayerFactoryTest/0 (79 ms total) [----------] 2 tests from BilinearFillerTest/0, where TypeParam = float [ RUN ] BilinearFillerTest/0.TestFillOdd [ OK ] BilinearFillerTest/0.TestFillOdd (17 ms) [ RUN ] BilinearFillerTest/0.TestFillEven [ OK ] BilinearFillerTest/0.TestFillEven (15 ms) [----------] 2 tests from BilinearFillerTest/0 (32 ms total) [----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MemoryDataLayerTest/1.TestSetBatchSize [ OK ] MemoryDataLayerTest/1.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform [ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) [ RUN ] MemoryDataLayerTest/1.TestSetup [ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/1.TestForward [ OK ] MemoryDataLayerTest/1.TestForward (26 ms) [----------] 5 tests from MemoryDataLayerTest/1 (32 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) [----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] PowerLayerTest/1.TestPowerTwoGradient [ OK ] PowerLayerTest/1.TestPowerTwoGradient (4 ms) [ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero [ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (3 ms) [ RUN ] PowerLayerTest/1.TestPowerOne [ OK ] PowerLayerTest/1.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwo [ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) [ RUN ] PowerLayerTest/1.TestPowerOneGradient [ OK ] PowerLayerTest/1.TestPowerOneGradient (1 ms) [ RUN ] PowerLayerTest/1.TestPowerGradient [ OK ] PowerLayerTest/1.TestPowerGradient (4 ms) [ RUN ] PowerLayerTest/1.TestPowerZeroGradient [ OK ] PowerLayerTest/1.TestPowerZeroGradient (1 ms) [ RUN ] PowerLayerTest/1.TestPowerZero [ OK ] PowerLayerTest/1.TestPowerZero (0 ms) [ RUN ] PowerLayerTest/1.TestPower [ OK ] PowerLayerTest/1.TestPower (0 ms) [ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient [ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (3 ms) [----------] 10 tests from PowerLayerTest/1 (16 ms total) [----------] 2 tests from InternalThreadTest [ RUN ] InternalThreadTest.TestStartAndExit [ OK ] InternalThreadTest.TestStartAndExit (1 ms) [ RUN ] InternalThreadTest.TestRandomSeed [ OK ] InternalThreadTest.TestRandomSeed (0 ms) [----------] 2 tests from InternalThreadTest (1 ms total) [----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] DataLayerTest/1.TestReshapeLMDB [ OK ] DataLayerTest/1.TestReshapeLMDB (2 ms) [ RUN ] DataLayerTest/1.TestReadLevelDB [ OK ] DataLayerTest/1.TestReadLevelDB (14 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (14 ms) [ RUN ] DataLayerTest/1.TestSkipLMDB [ OK ] DataLayerTest/1.TestSkipLMDB (28 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (82 ms) [ RUN ] DataLayerTest/1.TestReadLMDB [ OK ] DataLayerTest/1.TestReadLMDB (7 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (70 ms) [ RUN ] DataLayerTest/1.TestReshapeLevelDB [ OK ] DataLayerTest/1.TestReshapeLevelDB (14 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainLMDB [ OK ] DataLayerTest/1.TestReadCropTrainLMDB (5 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (10 ms) [ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB [ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (14 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLMDB [ OK ] DataLayerTest/1.TestReadCropTestLMDB (2 ms) [ RUN ] DataLayerTest/1.TestSkipLevelDB [ OK ] DataLayerTest/1.TestSkipLevelDB (20 ms) [ RUN ] DataLayerTest/1.TestReadCropTestLevelDB [ OK ] DataLayerTest/1.TestReadCropTestLevelDB (4 ms) [----------] 14 tests from DataLayerTest/1 (286 ms total) [----------] 1 test from SolverTypeUpgradeTest [ RUN ] SolverTypeUpgradeTest.TestSimple [ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) [----------] 1 test from SolverTypeUpgradeTest (1 ms total) [----------] 26 tests from IOTest [ RUN ] IOTest.TestDecodeDatum [ OK ] IOTest.TestDecodeDatum (13 ms) [ RUN ] IOTest.TestReadImageToDatum [ OK ] IOTest.TestReadImageToDatum (15 ms) [ RUN ] IOTest.TestReadImageToDatumReference [ OK ] IOTest.TestReadImageToDatumReference (24 ms) [ RUN ] IOTest.TestCVMatToDatumReference [ OK ] IOTest.TestCVMatToDatumReference (21 ms) [ RUN ] IOTest.TestReadImageToCVMat [ OK ] IOTest.TestReadImageToCVMat (5 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized [ OK ] IOTest.TestReadImageToDatumReferenceResized (8 ms) [ RUN ] IOTest.TestReadImageToDatumContentGray [ OK ] IOTest.TestReadImageToDatumContentGray (6 ms) [ RUN ] IOTest.TestReadImageToDatumResizedSquare [ OK ] IOTest.TestReadImageToDatumResizedSquare (5 ms) [ RUN ] IOTest.TestReadImageToDatumGray [ OK ] IOTest.TestReadImageToDatumGray (4 ms) [ RUN ] IOTest.TestCVMatToDatumContent [ OK ] IOTest.TestCVMatToDatumContent (10 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedSquare [ OK ] IOTest.TestReadImageToCVMatResizedSquare (16 ms) [ RUN ] IOTest.TestReadImageToCVMatResized [ OK ] IOTest.TestReadImageToCVMatResized (6 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray [ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (3 ms) [ RUN ] IOTest.TestDecodeDatumNative [ OK ] IOTest.TestDecodeDatumNative (28 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContentNative [ OK ] IOTest.TestDecodeDatumToCVMatContentNative (14 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (3 ms) [ RUN ] IOTest.TestReadImageToDatumResized [ OK ] IOTest.TestReadImageToDatumResized (5 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (2 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (11 ms) [ RUN ] IOTest.TestDecodeDatumNativeGray [ OK ] IOTest.TestDecodeDatumNativeGray (5 ms) [ RUN ] IOTest.TestReadImageToCVMatResizedGray [ OK ] IOTest.TestReadImageToCVMatResizedGray (2 ms) [ RUN ] IOTest.TestReadImageToDatumResizedGray [ OK ] IOTest.TestReadImageToDatumResizedGray (3 ms) [ RUN ] IOTest.TestDecodeDatumToCVMat [ OK ] IOTest.TestDecodeDatumToCVMat (6 ms) [ RUN ] IOTest.TestCVMatToDatum [ OK ] IOTest.TestCVMatToDatum (7 ms) [ RUN ] IOTest.TestReadFileToDatum [ OK ] IOTest.TestReadFileToDatum (0 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatContent [ OK ] IOTest.TestDecodeDatumToCVMatContent (17 ms) [----------] 26 tests from IOTest (241 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (19 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshotShare [ OK ] RMSPropSolverTest/0.TestSnapshotShare (33 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot [ OK ] RMSPropSolverTest/0.TestSnapshot (67 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (88 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (129 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything [ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (107 ms) [ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) [----------] 8 tests from RMSPropSolverTest/0 (449 ms total) [----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniform (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli [ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian [ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 [ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (1 ms) [ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform [ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) [----------] 11 tests from RandomNumberGeneratorTest/1 (3 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.TestForwardTopK [ OK ] AccuracyLayerTest/1.TestForwardTopK (3 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetupTopK [ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClass [ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) [ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/1.TestForward [ OK ] AccuracyLayerTest/1.TestForward (0 ms) [----------] 9 tests from AccuracyLayerTest/1 (4 ms total) [----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] BatchReindexLayerTest/0.TestGradient [ OK ] BatchReindexLayerTest/0.TestGradient (183 ms) [ RUN ] BatchReindexLayerTest/0.TestForward [ OK ] BatchReindexLayerTest/0.TestForward (0 ms) [----------] 2 tests from BatchReindexLayerTest/0 (183 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) [----------] 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 (1 ms) [----------] 2 tests from HingeLossLayerTest/1 (1 ms total) [----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution [ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (8 ms) [ RUN ] ConvolutionLayerTest/0.TestGradientGroup [ OK ] ConvolutionLayerTest/0.TestGradientGroup (40 ms) [ RUN ] ConvolutionLayerTest/0.TestSetup [ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient3D [ OK ] ConvolutionLayerTest/0.TestGradient3D (1042 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution [ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution [ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (1 ms) [ RUN ] ConvolutionLayerTest/0.TestGradient [ OK ] ConvolutionLayerTest/0.TestGradient (91 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Convolution [ OK ] ConvolutionLayerTest/0.Test1x1Convolution (1 ms) [ RUN ] ConvolutionLayerTest/0.Test0DConvolution [ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.Test1x1Gradient [ OK ] ConvolutionLayerTest/0.Test1x1Gradient (927 ms) [ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D [ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (659 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution [ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (2 ms) [ RUN ] ConvolutionLayerTest/0.TestDilatedGradient [ OK ] ConvolutionLayerTest/0.TestDilatedGradient (30 ms) [ RUN ] ConvolutionLayerTest/0.TestSobelConvolution [ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) [ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup [ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (1 ms) [----------] 15 tests from ConvolutionLayerTest/0 (2803 ms total) [----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice [ RUN ] BatchNormLayerTest/1.TestForward [ OK ] BatchNormLayerTest/1.TestForward (0 ms) [ RUN ] BatchNormLayerTest/1.TestForwardInplace [ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) [ RUN ] BatchNormLayerTest/1.TestGradient [ OK ] BatchNormLayerTest/1.TestGradient (291 ms) [----------] 3 tests from BatchNormLayerTest/1 (291 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] EmbedLayerTest/0.TestForward [ OK ] EmbedLayerTest/0.TestForward (0 ms) [ RUN ] EmbedLayerTest/0.TestGradientWithBias [ OK ] EmbedLayerTest/0.TestGradientWithBias (14 ms) [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient [ OK ] EmbedLayerTest/0.TestGradient (32 ms) [----------] 5 tests from EmbedLayerTest/0 (46 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice [ RUN ] MaxPoolingDropoutTest/1.TestForward [ OK ] MaxPoolingDropoutTest/1.TestForward (1 ms) [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (1 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestSeekToFirst [ OK ] DBTest/0.TestSeekToFirst (64 ms) [ RUN ] DBTest/0.TestKeyValue [ OK ] DBTest/0.TestKeyValue (24 ms) [ RUN ] DBTest/0.TestNext [ OK ] DBTest/0.TestNext (56 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (14 ms) [ RUN ] DBTest/0.TestWrite [ OK ] DBTest/0.TestWrite (28 ms) [----------] 5 tests from DBTest/0 (186 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (49 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (20 ms) [ RUN ] NesterovSolverTest/0.TestSnapshotShare [ OK ] NesterovSolverTest/0.TestSnapshotShare (19 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (39 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (135 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (107 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (19 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter [ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (109 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (125 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot [ OK ] NesterovSolverTest/0.TestSnapshot (24 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare [ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) [----------] 12 tests from NesterovSolverTest/0 (655 ms total) [----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] MVNLayerTest/0.TestForward [ OK ] MVNLayerTest/0.TestForward (1 ms) [ RUN ] MVNLayerTest/0.TestGradientMeanOnly [ OK ] MVNLayerTest/0.TestGradientMeanOnly (176 ms) [ RUN ] MVNLayerTest/0.TestGradient [ OK ] MVNLayerTest/0.TestGradient (332 ms) [ RUN ] MVNLayerTest/0.TestGradientAcrossChannels [ OK ] MVNLayerTest/0.TestGradientAcrossChannels (360 ms) [ RUN ] MVNLayerTest/0.TestForwardAcrossChannels [ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) [ RUN ] MVNLayerTest/0.TestForwardMeanOnly [ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) [----------] 6 tests from MVNLayerTest/0 (869 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) [----------] 20 tests from FilterNetTest [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (3 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest [ OK ] FilterNetTest.TestFilterLeNetTrainTest (2 ms) [ RUN ] FilterNetTest.TestFilterOutByStage [ OK ] FilterNetTest.TestFilterOutByStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage [ OK ] FilterNetTest.TestFilterInByStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel [ OK ] FilterNetTest.TestFilterInByMaxLevel (1 ms) [ RUN ] FilterNetTest.TestFilterOutByMaxLevel [ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (1 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) [ RUN ] FilterNetTest.TestNoFilter [ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 [ OK ] FilterNetTest.TestFilterInByStage2 (1 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMaxLevel2 [ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMinLevel [ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (1 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 [ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) [----------] 20 tests from FilterNetTest (9 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue [ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) [ RUN ] InnerProductLayerTest/0.TestForward [ OK ] InnerProductLayerTest/0.TestForward (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (1 ms) [ RUN ] InnerProductLayerTest/0.TestForwardTranspose [ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestBackwardTranspose [ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestGradientTranspose [ OK ] InnerProductLayerTest/0.TestGradientTranspose (247 ms) [ RUN ] InnerProductLayerTest/0.TestGradient [ OK ] InnerProductLayerTest/0.TestGradient (206 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) [----------] 9 tests from InnerProductLayerTest/0 (454 ms total) [----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] SliceLayerTest/0.TestSetupChannels [ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossNum [ OK ] SliceLayerTest/0.TestSliceAcrossNum (1 ms) [ RUN ] SliceLayerTest/0.TestGradientTrivial [ OK ] SliceLayerTest/0.TestGradientTrivial (37 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossChannels [ OK ] SliceLayerTest/0.TestGradientAcrossChannels (53 ms) [ RUN ] SliceLayerTest/0.TestSetupNum [ OK ] SliceLayerTest/0.TestSetupNum (0 ms) [ RUN ] SliceLayerTest/0.TestTrivialSlice [ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) [ RUN ] SliceLayerTest/0.TestGradientAcrossNum [ OK ] SliceLayerTest/0.TestGradientAcrossNum (59 ms) [ RUN ] SliceLayerTest/0.TestSliceAcrossChannels [ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) [----------] 8 tests from SliceLayerTest/0 (151 ms total) [----------] Global test environment tear-down [==========] 1162 tests from 152 test cases ran. (96248 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/Makefile2 pytest make[3]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 53 make -f CMakeFiles/Makefile2 CMakeFiles/pytest.dir/all make[4]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target caffe make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pycaffe make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/depend make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/pytest.dir/DependInfo.cmake --color= Scanning dependencies of target pytest make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test .../build/caffe-XRb9ip/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 I1012 03:35:53.207018 2954549 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I1012 03:35:53.207060 2954549 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data I1012 03:35:53.207072 2954549 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I1012 03:35:53.207078 2954549 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss I1012 03:35:53.207083 2954549 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" } } I1012 03:35:53.207152 2954549 layer_factory.hpp:77] Creating layer deploy_data I1012 03:35:53.207175 2954549 net.cpp:86] Creating Layer deploy_data I1012 03:35:53.207185 2954549 net.cpp:382] deploy_data -> data I1012 03:35:53.207213 2954549 net.cpp:124] Setting up deploy_data I1012 03:35:53.207226 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.207234 2954549 net.cpp:139] Memory required for data: 400 I1012 03:35:53.207242 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.207250 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.207257 2954549 net.cpp:408] ip <- data I1012 03:35:53.207263 2954549 net.cpp:382] ip -> ip I1012 03:35:53.207293 2954549 net.cpp:124] Setting up ip I1012 03:35:53.207301 2954549 net.cpp:131] Top shape: 1 2 (2) I1012 03:35:53.207309 2954549 net.cpp:139] Memory required for data: 408 I1012 03:35:53.207319 2954549 layer_factory.hpp:77] Creating layer pred I1012 03:35:53.207329 2954549 net.cpp:86] Creating Layer pred I1012 03:35:53.207335 2954549 net.cpp:408] pred <- ip I1012 03:35:53.207341 2954549 net.cpp:382] pred -> pred I1012 03:35:53.207360 2954549 net.cpp:124] Setting up pred I1012 03:35:53.207365 2954549 net.cpp:131] Top shape: 1 2 (2) I1012 03:35:53.207372 2954549 net.cpp:139] Memory required for data: 416 I1012 03:35:53.207377 2954549 net.cpp:202] pred does not need backward computation. I1012 03:35:53.207381 2954549 net.cpp:202] ip does not need backward computation. I1012 03:35:53.207387 2954549 net.cpp:202] deploy_data does not need backward computation. I1012 03:35:53.207392 2954549 net.cpp:244] This network produces output pred I1012 03:35:53.207401 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.208427 2954549 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data I1012 03:35:53.208441 2954549 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data I1012 03:35:53.208447 2954549 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred I1012 03:35:53.208453 2954549 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" } } I1012 03:35:53.208508 2954549 layer_factory.hpp:77] Creating layer train_data I1012 03:35:53.208521 2954549 net.cpp:86] Creating Layer train_data I1012 03:35:53.208530 2954549 net.cpp:382] train_data -> data I1012 03:35:53.208544 2954549 net.cpp:382] train_data -> label I1012 03:35:53.208559 2954549 net.cpp:124] Setting up train_data I1012 03:35:53.208565 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.208572 2954549 net.cpp:131] Top shape: 1 1 1 1 (1) I1012 03:35:53.208576 2954549 net.cpp:139] Memory required for data: 404 I1012 03:35:53.208582 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.208590 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.208596 2954549 net.cpp:408] ip <- data I1012 03:35:53.208604 2954549 net.cpp:382] ip -> ip I1012 03:35:53.208618 2954549 net.cpp:124] Setting up ip I1012 03:35:53.208624 2954549 net.cpp:131] Top shape: 1 2 (2) I1012 03:35:53.208631 2954549 net.cpp:139] Memory required for data: 412 I1012 03:35:53.208640 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.208650 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.208655 2954549 net.cpp:408] loss <- ip I1012 03:35:53.208660 2954549 net.cpp:408] loss <- label I1012 03:35:53.208668 2954549 net.cpp:382] loss -> loss I1012 03:35:53.208685 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.208703 2954549 net.cpp:124] Setting up loss I1012 03:35:53.208709 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.208715 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.208745 2954549 net.cpp:139] Memory required for data: 416 I1012 03:35:53.208750 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.208755 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.208760 2954549 net.cpp:202] train_data does not need backward computation. I1012 03:35:53.208766 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.208773 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.209349 2954549 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data I1012 03:35:53.209364 2954549 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data I1012 03:35:53.209372 2954549 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss I1012 03:35:53.209378 2954549 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred I1012 03:35:53.209384 2954549 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" } } I1012 03:35:53.209439 2954549 layer_factory.hpp:77] Creating layer val_data I1012 03:35:53.209450 2954549 net.cpp:86] Creating Layer val_data I1012 03:35:53.209457 2954549 net.cpp:382] val_data -> data I1012 03:35:53.209470 2954549 net.cpp:382] val_data -> label I1012 03:35:53.209492 2954549 net.cpp:124] Setting up val_data I1012 03:35:53.212599 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.212615 2954549 net.cpp:131] Top shape: 1 1 1 1 (1) I1012 03:35:53.212620 2954549 net.cpp:139] Memory required for data: 404 I1012 03:35:53.212625 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.212636 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.212643 2954549 net.cpp:408] ip <- data I1012 03:35:53.212651 2954549 net.cpp:382] ip -> ip I1012 03:35:53.212671 2954549 net.cpp:124] Setting up ip I1012 03:35:53.212678 2954549 net.cpp:131] Top shape: 1 2 (2) I1012 03:35:53.212683 2954549 net.cpp:139] Memory required for data: 412 I1012 03:35:53.212693 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.212704 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.212710 2954549 net.cpp:408] loss <- ip I1012 03:35:53.212716 2954549 net.cpp:408] loss <- label I1012 03:35:53.212725 2954549 net.cpp:382] loss -> loss I1012 03:35:53.212738 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.212754 2954549 net.cpp:124] Setting up loss I1012 03:35:53.212759 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.212765 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.212777 2954549 net.cpp:139] Memory required for data: 416 I1012 03:35:53.212782 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.212787 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.212793 2954549 net.cpp:202] val_data does not need backward computation. I1012 03:35:53.212797 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.212807 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.213547 2954549 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only I1012 03:35:53.213562 2954549 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 I1012 03:35:53.213569 2954549 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 } } I1012 03:35:53.213649 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.213660 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.213667 2954549 net.cpp:382] data -> data I1012 03:35:53.213681 2954549 net.cpp:124] Setting up data I1012 03:35:53.213688 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.213694 2954549 net.cpp:139] Memory required for data: 400 I1012 03:35:53.213698 2954549 layer_factory.hpp:77] Creating layer data_data_0_split I1012 03:35:53.213706 2954549 net.cpp:86] Creating Layer data_data_0_split I1012 03:35:53.213711 2954549 net.cpp:408] data_data_0_split <- data I1012 03:35:53.213717 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1012 03:35:53.213726 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1012 03:35:53.213734 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1012 03:35:53.213744 2954549 net.cpp:124] Setting up data_data_0_split I1012 03:35:53.213752 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.213757 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.213764 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.213770 2954549 net.cpp:139] Memory required for data: 1600 I1012 03:35:53.213775 2954549 layer_factory.hpp:77] Creating layer NoLevel I1012 03:35:53.213783 2954549 net.cpp:86] Creating Layer NoLevel I1012 03:35:53.213789 2954549 net.cpp:408] NoLevel <- data_data_0_split_0 I1012 03:35:53.213800 2954549 net.cpp:382] NoLevel -> NoLevel I1012 03:35:53.213815 2954549 net.cpp:124] Setting up NoLevel I1012 03:35:53.213821 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.213829 2954549 net.cpp:139] Memory required for data: 1604 I1012 03:35:53.213842 2954549 layer_factory.hpp:77] Creating layer Level0Only I1012 03:35:53.213851 2954549 net.cpp:86] Creating Layer Level0Only I1012 03:35:53.213857 2954549 net.cpp:408] Level0Only <- data_data_0_split_1 I1012 03:35:53.213866 2954549 net.cpp:382] Level0Only -> Level0Only I1012 03:35:53.213879 2954549 net.cpp:124] Setting up Level0Only I1012 03:35:53.213886 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.213891 2954549 net.cpp:139] Memory required for data: 1608 I1012 03:35:53.213902 2954549 layer_factory.hpp:77] Creating layer Level>=0 I1012 03:35:53.213912 2954549 net.cpp:86] Creating Layer Level>=0 I1012 03:35:53.213917 2954549 net.cpp:408] Level>=0 <- data_data_0_split_2 I1012 03:35:53.213925 2954549 net.cpp:382] Level>=0 -> Level>=0 I1012 03:35:53.213939 2954549 net.cpp:124] Setting up Level>=0 I1012 03:35:53.213945 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.213950 2954549 net.cpp:139] Memory required for data: 1612 I1012 03:35:53.213959 2954549 net.cpp:202] Level>=0 does not need backward computation. I1012 03:35:53.213966 2954549 net.cpp:202] Level0Only does not need backward computation. I1012 03:35:53.213972 2954549 net.cpp:202] NoLevel does not need backward computation. I1012 03:35:53.213979 2954549 net.cpp:202] data_data_0_split does not need backward computation. I1012 03:35:53.213984 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.213989 2954549 net.cpp:244] This network produces output Level0Only I1012 03:35:53.213995 2954549 net.cpp:244] This network produces output Level>=0 I1012 03:35:53.214000 2954549 net.cpp:244] This network produces output NoLevel I1012 03:35:53.214010 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.214565 2954549 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only I1012 03:35:53.214579 2954549 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 } } I1012 03:35:53.214656 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.214668 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.214675 2954549 net.cpp:382] data -> data I1012 03:35:53.214691 2954549 net.cpp:124] Setting up data I1012 03:35:53.214697 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.214704 2954549 net.cpp:139] Memory required for data: 400 I1012 03:35:53.214709 2954549 layer_factory.hpp:77] Creating layer data_data_0_split I1012 03:35:53.214716 2954549 net.cpp:86] Creating Layer data_data_0_split I1012 03:35:53.214722 2954549 net.cpp:408] data_data_0_split <- data I1012 03:35:53.214730 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1012 03:35:53.214740 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1012 03:35:53.214748 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1012 03:35:53.214756 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_3 I1012 03:35:53.214768 2954549 net.cpp:124] Setting up data_data_0_split I1012 03:35:53.214774 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.214782 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.214788 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.214795 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.214802 2954549 net.cpp:139] Memory required for data: 2000 I1012 03:35:53.214807 2954549 layer_factory.hpp:77] Creating layer NoLevel I1012 03:35:53.214815 2954549 net.cpp:86] Creating Layer NoLevel I1012 03:35:53.214820 2954549 net.cpp:408] NoLevel <- data_data_0_split_0 I1012 03:35:53.214828 2954549 net.cpp:382] NoLevel -> NoLevel I1012 03:35:53.214843 2954549 net.cpp:124] Setting up NoLevel I1012 03:35:53.214849 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.214854 2954549 net.cpp:139] Memory required for data: 2004 I1012 03:35:53.214864 2954549 layer_factory.hpp:77] Creating layer Level1Only I1012 03:35:53.214872 2954549 net.cpp:86] Creating Layer Level1Only I1012 03:35:53.214877 2954549 net.cpp:408] Level1Only <- data_data_0_split_1 I1012 03:35:53.214886 2954549 net.cpp:382] Level1Only -> Level1Only I1012 03:35:53.214901 2954549 net.cpp:124] Setting up Level1Only I1012 03:35:53.214907 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.214912 2954549 net.cpp:139] Memory required for data: 2008 I1012 03:35:53.214918 2954549 layer_factory.hpp:77] Creating layer Level>=0 I1012 03:35:53.214928 2954549 net.cpp:86] Creating Layer Level>=0 I1012 03:35:53.214934 2954549 net.cpp:408] Level>=0 <- data_data_0_split_2 I1012 03:35:53.214941 2954549 net.cpp:382] Level>=0 -> Level>=0 I1012 03:35:53.214954 2954549 net.cpp:124] Setting up Level>=0 I1012 03:35:53.214960 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.214965 2954549 net.cpp:139] Memory required for data: 2012 I1012 03:35:53.214973 2954549 layer_factory.hpp:77] Creating layer Level>=1 I1012 03:35:53.214984 2954549 net.cpp:86] Creating Layer Level>=1 I1012 03:35:53.214990 2954549 net.cpp:408] Level>=1 <- data_data_0_split_3 I1012 03:35:53.214999 2954549 net.cpp:382] Level>=1 -> Level>=1 I1012 03:35:53.215013 2954549 net.cpp:124] Setting up Level>=1 I1012 03:35:53.215020 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.215026 2954549 net.cpp:139] Memory required for data: 2016 I1012 03:35:53.215034 2954549 net.cpp:202] Level>=1 does not need backward computation. I1012 03:35:53.215039 2954549 net.cpp:202] Level>=0 does not need backward computation. I1012 03:35:53.215045 2954549 net.cpp:202] Level1Only does not need backward computation. I1012 03:35:53.215050 2954549 net.cpp:202] NoLevel does not need backward computation. I1012 03:35:53.215056 2954549 net.cpp:202] data_data_0_split does not need backward computation. I1012 03:35:53.215060 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.215065 2954549 net.cpp:244] This network produces output Level1Only I1012 03:35:53.215070 2954549 net.cpp:244] This network produces output Level>=0 I1012 03:35:53.215075 2954549 net.cpp:244] This network produces output Level>=1 I1012 03:35:53.215080 2954549 net.cpp:244] This network produces output NoLevel I1012 03:35:53.215090 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.215729 2954549 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" } I1012 03:35:53.215837 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.215849 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.215857 2954549 net.cpp:382] data -> data I1012 03:35:53.215867 2954549 net.cpp:382] data -> label I1012 03:35:53.215883 2954549 net.cpp:124] Setting up data I1012 03:35:53.215888 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.215896 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.215901 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.215905 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.215917 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.215924 2954549 net.cpp:408] conv <- data I1012 03:35:53.215930 2954549 net.cpp:382] conv -> conv I1012 03:35:53.216014 2954549 net.cpp:124] Setting up conv I1012 03:35:53.216023 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.216030 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.216039 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.216049 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.216055 2954549 net.cpp:408] ip <- conv I1012 03:35:53.216063 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.216233 2954549 net.cpp:124] Setting up ip I1012 03:35:53.216243 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.216248 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.216254 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.216264 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.216269 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.216274 2954549 net.cpp:408] loss <- label I1012 03:35:53.216281 2954549 net.cpp:382] loss -> loss I1012 03:35:53.216292 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.216310 2954549 net.cpp:124] Setting up loss I1012 03:35:53.216315 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.216320 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.216332 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.216338 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.216344 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.216351 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.216356 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.216362 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.216372 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.218729 2954549 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" } I1012 03:35:53.218854 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.218871 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.218880 2954549 net.cpp:382] data -> data I1012 03:35:53.218899 2954549 net.cpp:382] data -> label I1012 03:35:53.218917 2954549 net.cpp:124] Setting up data I1012 03:35:53.218924 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.218933 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.218937 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.218943 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.218955 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.218961 2954549 net.cpp:408] conv <- data I1012 03:35:53.218969 2954549 net.cpp:382] conv -> conv I1012 03:35:53.219002 2954549 net.cpp:124] Setting up conv I1012 03:35:53.219007 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.219014 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.219025 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.219034 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.219040 2954549 net.cpp:408] ip <- conv I1012 03:35:53.219048 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.219210 2954549 net.cpp:124] Setting up ip I1012 03:35:53.219218 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.219224 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.219233 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.219242 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.219249 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.219254 2954549 net.cpp:408] loss <- label I1012 03:35:53.219262 2954549 net.cpp:382] loss -> loss I1012 03:35:53.219274 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.219292 2954549 net.cpp:124] Setting up loss I1012 03:35:53.219300 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.219305 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.219314 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.219319 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.219326 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.219331 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.219338 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.219344 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.219353 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.220685 2954549 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" } I1012 03:35:53.220786 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.220801 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.220810 2954549 net.cpp:382] data -> data I1012 03:35:53.220821 2954549 net.cpp:382] data -> label I1012 03:35:53.220837 2954549 net.cpp:124] Setting up data I1012 03:35:53.220844 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.220851 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.220857 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.220863 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.220873 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.224665 2954549 net.cpp:408] conv <- data I1012 03:35:53.224702 2954549 net.cpp:382] conv -> conv I1012 03:35:53.224752 2954549 net.cpp:124] Setting up conv I1012 03:35:53.224761 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.224771 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.224782 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.224794 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.224800 2954549 net.cpp:408] ip <- conv I1012 03:35:53.224809 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.224977 2954549 net.cpp:124] Setting up ip I1012 03:35:53.224983 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.224990 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.224999 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.225009 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.225015 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.225021 2954549 net.cpp:408] loss <- label I1012 03:35:53.225029 2954549 net.cpp:382] loss -> loss I1012 03:35:53.225041 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.225062 2954549 net.cpp:124] Setting up loss I1012 03:35:53.225068 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.225075 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.225092 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.225097 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.225102 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.225108 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.225113 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.225119 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.225127 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.226838 2954549 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" } I1012 03:35:53.226966 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.226980 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.226989 2954549 net.cpp:382] data -> data I1012 03:35:53.227000 2954549 net.cpp:382] data -> label I1012 03:35:53.227016 2954549 net.cpp:124] Setting up data I1012 03:35:53.227022 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.227030 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.227035 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.227041 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.227052 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.227058 2954549 net.cpp:408] conv <- data I1012 03:35:53.227067 2954549 net.cpp:382] conv -> conv I1012 03:35:53.227094 2954549 net.cpp:124] Setting up conv I1012 03:35:53.227102 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.227108 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.227118 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.227128 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.227135 2954549 net.cpp:408] ip <- conv I1012 03:35:53.227144 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.227319 2954549 net.cpp:124] Setting up ip I1012 03:35:53.227325 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.227331 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.227339 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.227347 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.227353 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.227360 2954549 net.cpp:408] loss <- label I1012 03:35:53.227368 2954549 net.cpp:382] loss -> loss I1012 03:35:53.227380 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.227397 2954549 net.cpp:124] Setting up loss I1012 03:35:53.227404 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.227409 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.227420 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.227425 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.227430 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.227437 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.227442 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.227448 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.227458 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.229087 2954549 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" } I1012 03:35:53.229192 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.229207 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.229215 2954549 net.cpp:382] data -> data I1012 03:35:53.229226 2954549 net.cpp:382] data -> label I1012 03:35:53.229243 2954549 net.cpp:124] Setting up data I1012 03:35:53.229249 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.229257 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.229261 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.229267 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.229279 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.229285 2954549 net.cpp:408] conv <- data I1012 03:35:53.229295 2954549 net.cpp:382] conv -> conv I1012 03:35:53.229324 2954549 net.cpp:124] Setting up conv I1012 03:35:53.229331 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.229337 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.229348 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.229357 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.229363 2954549 net.cpp:408] ip <- conv I1012 03:35:53.229372 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.229550 2954549 net.cpp:124] Setting up ip I1012 03:35:53.229559 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.229566 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.229575 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.229584 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.229589 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.229595 2954549 net.cpp:408] loss <- label I1012 03:35:53.229610 2954549 net.cpp:382] loss -> loss I1012 03:35:53.229621 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.229640 2954549 net.cpp:124] Setting up loss I1012 03:35:53.229646 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.229652 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.229663 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.229667 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.229674 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.229678 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.229686 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.229689 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.229698 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.230499 2954549 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" } I1012 03:35:53.230638 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.230652 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.230661 2954549 net.cpp:382] data -> data I1012 03:35:53.230674 2954549 net.cpp:382] data -> label I1012 03:35:53.230690 2954549 net.cpp:124] Setting up data I1012 03:35:53.230695 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.230705 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.230711 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.230717 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.230729 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.230734 2954549 net.cpp:408] conv <- data I1012 03:35:53.230744 2954549 net.cpp:382] conv -> conv I1012 03:35:53.230779 2954549 net.cpp:124] Setting up conv I1012 03:35:53.230787 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.230794 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.230806 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.230816 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.230823 2954549 net.cpp:408] ip <- conv I1012 03:35:53.230831 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.231047 2954549 net.cpp:124] Setting up ip I1012 03:35:53.231058 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.231067 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.231079 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.231091 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.231099 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.231108 2954549 net.cpp:408] loss <- label I1012 03:35:53.231119 2954549 net.cpp:382] loss -> loss I1012 03:35:53.231135 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.231160 2954549 net.cpp:124] Setting up loss I1012 03:35:53.231170 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.231179 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.231194 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.231200 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.231209 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.231216 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.231225 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.231231 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.231243 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.232638 2954549 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" } I1012 03:35:53.232828 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.232849 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.232863 2954549 net.cpp:382] data -> data I1012 03:35:53.232884 2954549 net.cpp:382] data -> label I1012 03:35:53.232910 2954549 net.cpp:124] Setting up data I1012 03:35:53.232920 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.232933 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.232940 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.232949 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.232966 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.232975 2954549 net.cpp:408] conv <- data I1012 03:35:53.232990 2954549 net.cpp:382] conv -> conv I1012 03:35:53.233042 2954549 net.cpp:124] Setting up conv I1012 03:35:53.233052 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.233062 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.233078 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.233093 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.233101 2954549 net.cpp:408] ip <- conv I1012 03:35:53.233114 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.233347 2954549 net.cpp:124] Setting up ip I1012 03:35:53.233359 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.233368 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.233382 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.233395 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.233403 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.233412 2954549 net.cpp:408] loss <- label I1012 03:35:53.233423 2954549 net.cpp:382] loss -> loss I1012 03:35:53.233441 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.233470 2954549 net.cpp:124] Setting up loss I1012 03:35:53.241569 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.241596 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.241631 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.241648 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.241668 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.241683 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.241698 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.241714 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.241734 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.244078 2954549 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" } I1012 03:35:53.244307 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.244339 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.244362 2954549 net.cpp:382] data -> data I1012 03:35:53.244392 2954549 net.cpp:382] data -> label I1012 03:35:53.244429 2954549 net.cpp:124] Setting up data I1012 03:35:53.244447 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.244467 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.244480 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.244494 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.244518 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.244534 2954549 net.cpp:408] conv <- data I1012 03:35:53.244555 2954549 net.cpp:382] conv -> conv I1012 03:35:53.244614 2954549 net.cpp:124] Setting up conv I1012 03:35:53.244632 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.244648 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.244673 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.244693 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.244709 2954549 net.cpp:408] ip <- conv I1012 03:35:53.244729 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.244963 2954549 net.cpp:124] Setting up ip I1012 03:35:53.244982 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.244998 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.245018 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.245036 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.245051 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.245066 2954549 net.cpp:408] loss <- label I1012 03:35:53.245083 2954549 net.cpp:382] loss -> loss I1012 03:35:53.245110 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.245146 2954549 net.cpp:124] Setting up loss I1012 03:35:53.245160 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.245174 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.245196 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.245211 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.245226 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.245240 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.245254 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.245266 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.245285 2954549 net.cpp:257] Network initialization done. W1012 03:35:53.246801 2954549 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface W1012 03:35:53.246829 2954549 _caffe.cpp:140] Use this instead (with the named "weights" parameter): W1012 03:35:53.246837 2954549 _caffe.cpp:142] Net('/tmp/tmpk2z40i3i', 0, weights='/tmp/tmp64a8gawa') I1012 03:35:53.247190 2954549 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" } I1012 03:35:53.248809 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.248853 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.248888 2954549 net.cpp:382] data -> data I1012 03:35:53.248922 2954549 net.cpp:382] data -> label I1012 03:35:53.248963 2954549 net.cpp:124] Setting up data I1012 03:35:53.248989 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.249014 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.249035 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.249056 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.249089 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.249114 2954549 net.cpp:408] conv <- data I1012 03:35:53.249143 2954549 net.cpp:382] conv -> conv I1012 03:35:53.249210 2954549 net.cpp:124] Setting up conv I1012 03:35:53.249238 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.249261 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.249294 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.249323 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.249347 2954549 net.cpp:408] ip <- conv I1012 03:35:53.249374 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.249637 2954549 net.cpp:124] Setting up ip I1012 03:35:53.249663 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.249681 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.249702 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.249722 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.249738 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.249754 2954549 net.cpp:408] loss <- label I1012 03:35:53.249771 2954549 net.cpp:382] loss -> loss I1012 03:35:53.249795 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.249828 2954549 net.cpp:124] Setting up loss I1012 03:35:53.249845 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.249861 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.249886 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.249902 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.249917 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.249933 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.249948 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.249963 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.249982 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.251742 2954549 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" } I1012 03:35:53.251986 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.256898 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.256932 2954549 net.cpp:382] data -> data I1012 03:35:53.256963 2954549 net.cpp:382] data -> label I1012 03:35:53.256996 2954549 net.cpp:124] Setting up data I1012 03:35:53.257014 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.257033 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.257050 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.257064 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.257091 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.257108 2954549 net.cpp:408] conv <- data I1012 03:35:53.257128 2954549 net.cpp:382] conv -> conv I1012 03:35:53.257184 2954549 net.cpp:124] Setting up conv I1012 03:35:53.257200 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.257216 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.257238 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.257259 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.257274 2954549 net.cpp:408] ip <- conv I1012 03:35:53.257293 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.257547 2954549 net.cpp:124] Setting up ip I1012 03:35:53.257572 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.257591 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.257611 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.257632 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.257648 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.257665 2954549 net.cpp:408] loss <- label I1012 03:35:53.257684 2954549 net.cpp:382] loss -> loss I1012 03:35:53.257709 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.257743 2954549 net.cpp:124] Setting up loss I1012 03:35:53.257762 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.257779 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.257809 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.257825 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.257841 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.257858 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.257874 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.257889 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.257910 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.259786 2954549 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" } I1012 03:35:53.259960 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.259989 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.260010 2954549 net.cpp:382] data -> data I1012 03:35:53.260032 2954549 net.cpp:382] data -> label I1012 03:35:53.260061 2954549 net.cpp:124] Setting up data I1012 03:35:53.260076 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.260094 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.260113 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.260128 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.260149 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.260165 2954549 net.cpp:408] conv <- data I1012 03:35:53.260185 2954549 net.cpp:382] conv -> conv I1012 03:35:53.260228 2954549 net.cpp:124] Setting up conv I1012 03:35:53.260246 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.260262 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.260282 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.260303 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.260319 2954549 net.cpp:408] ip <- conv I1012 03:35:53.260337 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.260555 2954549 net.cpp:124] Setting up ip I1012 03:35:53.260573 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.260589 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.260608 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.260627 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.260641 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.260658 2954549 net.cpp:408] loss <- label I1012 03:35:53.260675 2954549 net.cpp:382] loss -> loss I1012 03:35:53.260696 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.260726 2954549 net.cpp:124] Setting up loss I1012 03:35:53.260821 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.260831 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.260843 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.260849 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.260856 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.260862 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.260869 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.260874 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.260883 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.263639 2954549 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" } I1012 03:35:53.263797 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.263813 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.263823 2954549 net.cpp:382] data -> data I1012 03:35:53.263839 2954549 net.cpp:382] data -> label I1012 03:35:53.263859 2954549 net.cpp:124] Setting up data I1012 03:35:53.263865 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.263875 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.263880 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.263886 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.263900 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.263906 2954549 net.cpp:408] conv <- data I1012 03:35:53.263917 2954549 net.cpp:382] conv -> conv I1012 03:35:53.263958 2954549 net.cpp:124] Setting up conv I1012 03:35:53.263964 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.263972 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.263983 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.263993 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.263999 2954549 net.cpp:408] ip <- conv I1012 03:35:53.264008 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.264222 2954549 net.cpp:124] Setting up ip I1012 03:35:53.264230 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.264235 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.264245 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.264254 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.264261 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.264266 2954549 net.cpp:408] loss <- label I1012 03:35:53.264276 2954549 net.cpp:382] loss -> loss I1012 03:35:53.264286 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.264307 2954549 net.cpp:124] Setting up loss I1012 03:35:53.264312 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.264319 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.264330 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.264336 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.264343 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.264348 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.264358 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.264362 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.264371 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.264886 2954549 hdf5.cpp:33] Datatype class: H5T_FLOAT .I1012 03:35:53.267627 2954549 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" } I1012 03:35:53.267835 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.267864 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.267884 2954549 net.cpp:382] data -> data I1012 03:35:53.267910 2954549 net.cpp:382] data -> label I1012 03:35:53.267940 2954549 net.cpp:124] Setting up data I1012 03:35:53.267958 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.267975 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.267989 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.268003 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.268023 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.271195 2954549 net.cpp:408] conv <- data I1012 03:35:53.271239 2954549 net.cpp:382] conv -> conv I1012 03:35:53.271307 2954549 net.cpp:124] Setting up conv I1012 03:35:53.271323 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.271339 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.271360 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.271380 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.271392 2954549 net.cpp:408] ip <- conv I1012 03:35:53.271407 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.271649 2954549 net.cpp:124] Setting up ip I1012 03:35:53.271665 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.271674 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.271692 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.271708 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.271719 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.271731 2954549 net.cpp:408] loss <- label I1012 03:35:53.271746 2954549 net.cpp:382] loss -> loss I1012 03:35:53.271770 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.271803 2954549 net.cpp:124] Setting up loss I1012 03:35:53.271817 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.271829 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.271853 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.271867 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.271880 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.271891 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.271903 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.271915 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.271934 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.273856 2954549 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B I1012 03:35:53.273906 2954549 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB I1012 03:35:53.273932 2954549 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 } } I1012 03:35:53.274083 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.274123 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.274137 2954549 net.cpp:382] data -> data I1012 03:35:53.274161 2954549 net.cpp:124] Setting up data I1012 03:35:53.274170 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.274179 2954549 net.cpp:139] Memory required for data: 400 I1012 03:35:53.274188 2954549 layer_factory.hpp:77] Creating layer data_data_0_split I1012 03:35:53.274199 2954549 net.cpp:86] Creating Layer data_data_0_split I1012 03:35:53.274226 2954549 net.cpp:408] data_data_0_split <- data I1012 03:35:53.274240 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1012 03:35:53.274253 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1012 03:35:53.274268 2954549 net.cpp:124] Setting up data_data_0_split I1012 03:35:53.274276 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.274284 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.274292 2954549 net.cpp:139] Memory required for data: 1200 I1012 03:35:53.274299 2954549 layer_factory.hpp:77] Creating layer A I1012 03:35:53.274312 2954549 net.cpp:86] Creating Layer A I1012 03:35:53.274319 2954549 net.cpp:408] A <- data_data_0_split_0 I1012 03:35:53.274331 2954549 net.cpp:382] A -> A I1012 03:35:53.274353 2954549 net.cpp:124] Setting up A I1012 03:35:53.274361 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.274370 2954549 net.cpp:139] Memory required for data: 1204 I1012 03:35:53.274385 2954549 layer_factory.hpp:77] Creating layer AorB I1012 03:35:53.274397 2954549 net.cpp:86] Creating Layer AorB I1012 03:35:53.274405 2954549 net.cpp:408] AorB <- data_data_0_split_1 I1012 03:35:53.274416 2954549 net.cpp:382] AorB -> AorB I1012 03:35:53.274472 2954549 net.cpp:124] Setting up AorB I1012 03:35:53.274497 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.274521 2954549 net.cpp:139] Memory required for data: 1208 I1012 03:35:53.274554 2954549 net.cpp:202] AorB does not need backward computation. I1012 03:35:53.274575 2954549 net.cpp:202] A does not need backward computation. I1012 03:35:53.274595 2954549 net.cpp:202] data_data_0_split does not need backward computation. I1012 03:35:53.274616 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.274636 2954549 net.cpp:244] This network produces output A I1012 03:35:53.274654 2954549 net.cpp:244] This network produces output AorB I1012 03:35:53.274680 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.275611 2954549 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 } } I1012 03:35:53.275774 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.275810 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.275836 2954549 net.cpp:382] data -> data I1012 03:35:53.275871 2954549 net.cpp:124] Setting up data I1012 03:35:53.275893 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.275915 2954549 net.cpp:139] Memory required for data: 400 I1012 03:35:53.275936 2954549 layer_factory.hpp:77] Creating layer data_data_0_split I1012 03:35:53.275961 2954549 net.cpp:86] Creating Layer data_data_0_split I1012 03:35:53.275985 2954549 net.cpp:408] data_data_0_split <- data I1012 03:35:53.276010 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1012 03:35:53.276041 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1012 03:35:53.276072 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_2 I1012 03:35:53.276100 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_3 I1012 03:35:53.276131 2954549 net.cpp:124] Setting up data_data_0_split I1012 03:35:53.276154 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.276178 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.276201 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.276223 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.276247 2954549 net.cpp:139] Memory required for data: 2000 I1012 03:35:53.276265 2954549 layer_factory.hpp:77] Creating layer A I1012 03:35:53.276288 2954549 net.cpp:86] Creating Layer A I1012 03:35:53.276306 2954549 net.cpp:408] A <- data_data_0_split_0 I1012 03:35:53.276331 2954549 net.cpp:382] A -> A I1012 03:35:53.276367 2954549 net.cpp:124] Setting up A I1012 03:35:53.276389 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.276410 2954549 net.cpp:139] Memory required for data: 2004 I1012 03:35:53.276451 2954549 layer_factory.hpp:77] Creating layer B I1012 03:35:53.276482 2954549 net.cpp:86] Creating Layer B I1012 03:35:53.276507 2954549 net.cpp:408] B <- data_data_0_split_1 I1012 03:35:53.276535 2954549 net.cpp:382] B -> B I1012 03:35:53.276573 2954549 net.cpp:124] Setting up B I1012 03:35:53.276597 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.276618 2954549 net.cpp:139] Memory required for data: 2008 I1012 03:35:53.276644 2954549 layer_factory.hpp:77] Creating layer AorB I1012 03:35:53.276674 2954549 net.cpp:86] Creating Layer AorB I1012 03:35:53.276695 2954549 net.cpp:408] AorB <- data_data_0_split_2 I1012 03:35:53.276719 2954549 net.cpp:382] AorB -> AorB I1012 03:35:53.276753 2954549 net.cpp:124] Setting up AorB I1012 03:35:53.276777 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.276796 2954549 net.cpp:139] Memory required for data: 2012 I1012 03:35:53.276820 2954549 layer_factory.hpp:77] Creating layer AandB I1012 03:35:53.276844 2954549 net.cpp:86] Creating Layer AandB I1012 03:35:53.276865 2954549 net.cpp:408] AandB <- data_data_0_split_3 I1012 03:35:53.276887 2954549 net.cpp:382] AandB -> AandB I1012 03:35:53.276921 2954549 net.cpp:124] Setting up AandB I1012 03:35:53.276943 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.276965 2954549 net.cpp:139] Memory required for data: 2016 I1012 03:35:53.276988 2954549 net.cpp:202] AandB does not need backward computation. I1012 03:35:53.277009 2954549 net.cpp:202] AorB does not need backward computation. I1012 03:35:53.277266 2954549 net.cpp:202] B does not need backward computation. I1012 03:35:53.277292 2954549 net.cpp:202] A does not need backward computation. I1012 03:35:53.277314 2954549 net.cpp:202] data_data_0_split does not need backward computation. I1012 03:35:53.277335 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.277355 2954549 net.cpp:244] This network produces output A I1012 03:35:53.277376 2954549 net.cpp:244] This network produces output AandB I1012 03:35:53.277398 2954549 net.cpp:244] This network produces output AorB I1012 03:35:53.277417 2954549 net.cpp:244] This network produces output B I1012 03:35:53.277444 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.278493 2954549 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A I1012 03:35:53.278517 2954549 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB I1012 03:35:53.278532 2954549 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB I1012 03:35:53.278565 2954549 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 } } I1012 03:35:53.278719 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.278756 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.278777 2954549 net.cpp:382] data -> data I1012 03:35:53.278807 2954549 net.cpp:124] Setting up data I1012 03:35:53.278836 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.278862 2954549 net.cpp:139] Memory required for data: 400 I1012 03:35:53.278885 2954549 layer_factory.hpp:77] Creating layer data_data_0_split I1012 03:35:53.278906 2954549 net.cpp:86] Creating Layer data_data_0_split I1012 03:35:53.278920 2954549 net.cpp:408] data_data_0_split <- data I1012 03:35:53.278936 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_0 I1012 03:35:53.278955 2954549 net.cpp:382] data_data_0_split -> data_data_0_split_1 I1012 03:35:53.278990 2954549 net.cpp:124] Setting up data_data_0_split I1012 03:35:53.279006 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.279019 2954549 net.cpp:131] Top shape: 1 1 10 10 (100) I1012 03:35:53.279034 2954549 net.cpp:139] Memory required for data: 1200 I1012 03:35:53.279047 2954549 layer_factory.hpp:77] Creating layer B I1012 03:35:53.279063 2954549 net.cpp:86] Creating Layer B I1012 03:35:53.279090 2954549 net.cpp:408] B <- data_data_0_split_0 I1012 03:35:53.279112 2954549 net.cpp:382] B -> B I1012 03:35:53.279139 2954549 net.cpp:124] Setting up B I1012 03:35:53.279153 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.279181 2954549 net.cpp:139] Memory required for data: 1204 I1012 03:35:53.279206 2954549 layer_factory.hpp:77] Creating layer AorB I1012 03:35:53.279225 2954549 net.cpp:86] Creating Layer AorB I1012 03:35:53.279237 2954549 net.cpp:408] AorB <- data_data_0_split_1 I1012 03:35:53.279255 2954549 net.cpp:382] AorB -> AorB I1012 03:35:53.279281 2954549 net.cpp:124] Setting up AorB I1012 03:35:53.279295 2954549 net.cpp:131] Top shape: 1 1 (1) I1012 03:35:53.279309 2954549 net.cpp:139] Memory required for data: 1208 I1012 03:35:53.279326 2954549 net.cpp:202] AorB does not need backward computation. I1012 03:35:53.279338 2954549 net.cpp:202] B does not need backward computation. I1012 03:35:53.279350 2954549 net.cpp:202] data_data_0_split does not need backward computation. I1012 03:35:53.279364 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.279392 2954549 net.cpp:244] This network produces output AorB I1012 03:35:53.279407 2954549 net.cpp:244] This network produces output B I1012 03:35:53.279425 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.281966 2954549 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" } I1012 03:35:53.282188 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.282228 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.282249 2954549 net.cpp:382] data -> data I1012 03:35:53.282275 2954549 net.cpp:382] data -> label I1012 03:35:53.282359 2954549 net.cpp:124] Setting up data I1012 03:35:53.282375 2954549 net.cpp:131] Top shape: 50 1 28 28 (39200) I1012 03:35:53.282393 2954549 net.cpp:131] Top shape: 50 1 1 1 (50) I1012 03:35:53.282425 2954549 net.cpp:139] Memory required for data: 157000 I1012 03:35:53.282449 2954549 layer_factory.hpp:77] Creating layer conv1 I1012 03:35:53.282472 2954549 net.cpp:86] Creating Layer conv1 I1012 03:35:53.282500 2954549 net.cpp:408] conv1 <- data I1012 03:35:53.282521 2954549 net.cpp:382] conv1 -> conv1 I1012 03:35:53.282577 2954549 net.cpp:124] Setting up conv1 I1012 03:35:53.282621 2954549 net.cpp:131] Top shape: 50 20 24 24 (576000) I1012 03:35:53.282650 2954549 net.cpp:139] Memory required for data: 2461000 I1012 03:35:53.282681 2954549 layer_factory.hpp:77] Creating layer pool1 I1012 03:35:53.282714 2954549 net.cpp:86] Creating Layer pool1 I1012 03:35:53.282730 2954549 net.cpp:408] pool1 <- conv1 I1012 03:35:53.282745 2954549 net.cpp:382] pool1 -> pool1 I1012 03:35:53.282779 2954549 net.cpp:124] Setting up pool1 I1012 03:35:53.282806 2954549 net.cpp:131] Top shape: 50 20 12 12 (144000) I1012 03:35:53.282830 2954549 net.cpp:139] Memory required for data: 3037000 I1012 03:35:53.282842 2954549 layer_factory.hpp:77] Creating layer conv2 I1012 03:35:53.282858 2954549 net.cpp:86] Creating Layer conv2 I1012 03:35:53.282869 2954549 net.cpp:408] conv2 <- pool1 I1012 03:35:53.282887 2954549 net.cpp:382] conv2 -> conv2 I1012 03:35:53.283283 2954549 net.cpp:124] Setting up conv2 I1012 03:35:53.283315 2954549 net.cpp:131] Top shape: 50 50 8 8 (160000) I1012 03:35:53.283342 2954549 net.cpp:139] Memory required for data: 3677000 I1012 03:35:53.283370 2954549 layer_factory.hpp:77] Creating layer pool2 I1012 03:35:53.283394 2954549 net.cpp:86] Creating Layer pool2 I1012 03:35:53.283416 2954549 net.cpp:408] pool2 <- conv2 I1012 03:35:53.283442 2954549 net.cpp:382] pool2 -> pool2 I1012 03:35:53.283475 2954549 net.cpp:124] Setting up pool2 I1012 03:35:53.283499 2954549 net.cpp:131] Top shape: 50 50 4 4 (40000) I1012 03:35:53.283525 2954549 net.cpp:139] Memory required for data: 3837000 I1012 03:35:53.283545 2954549 layer_factory.hpp:77] Creating layer ip1 I1012 03:35:53.283571 2954549 net.cpp:86] Creating Layer ip1 I1012 03:35:53.283591 2954549 net.cpp:408] ip1 <- pool2 I1012 03:35:53.283618 2954549 net.cpp:382] ip1 -> ip1 I1012 03:35:53.289197 2954549 net.cpp:124] Setting up ip1 I1012 03:35:53.289232 2954549 net.cpp:131] Top shape: 50 500 (25000) I1012 03:35:53.289250 2954549 net.cpp:139] Memory required for data: 3937000 I1012 03:35:53.289274 2954549 layer_factory.hpp:77] Creating layer relu1 I1012 03:35:53.289302 2954549 net.cpp:86] Creating Layer relu1 I1012 03:35:53.289314 2954549 net.cpp:408] relu1 <- ip1 I1012 03:35:53.289328 2954549 net.cpp:369] relu1 -> ip1 (in-place) I1012 03:35:53.289343 2954549 net.cpp:124] Setting up relu1 I1012 03:35:53.289361 2954549 net.cpp:131] Top shape: 50 500 (25000) I1012 03:35:53.289372 2954549 net.cpp:139] Memory required for data: 4037000 I1012 03:35:53.289381 2954549 layer_factory.hpp:77] Creating layer ip2 I1012 03:35:53.289395 2954549 net.cpp:86] Creating Layer ip2 I1012 03:35:53.289407 2954549 net.cpp:408] ip2 <- ip1 I1012 03:35:53.289424 2954549 net.cpp:382] ip2 -> ip2 I1012 03:35:53.289568 2954549 net.cpp:124] Setting up ip2 I1012 03:35:53.289584 2954549 net.cpp:131] Top shape: 50 10 (500) I1012 03:35:53.289594 2954549 net.cpp:139] Memory required for data: 4039000 I1012 03:35:53.289606 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.289623 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.289634 2954549 net.cpp:408] loss <- ip2 I1012 03:35:53.289646 2954549 net.cpp:408] loss <- label I1012 03:35:53.289660 2954549 net.cpp:382] loss -> loss I1012 03:35:53.289690 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.289719 2954549 net.cpp:124] Setting up loss I1012 03:35:53.289741 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.289752 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.289777 2954549 net.cpp:139] Memory required for data: 4039004 I1012 03:35:53.289788 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.289808 2954549 net.cpp:200] ip2 needs backward computation. I1012 03:35:53.289817 2954549 net.cpp:200] relu1 needs backward computation. I1012 03:35:53.289827 2954549 net.cpp:200] ip1 needs backward computation. I1012 03:35:53.289837 2954549 net.cpp:200] pool2 needs backward computation. I1012 03:35:53.289847 2954549 net.cpp:200] conv2 needs backward computation. I1012 03:35:53.289857 2954549 net.cpp:200] pool1 needs backward computation. I1012 03:35:53.289872 2954549 net.cpp:200] conv1 needs backward computation. I1012 03:35:53.289883 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.289891 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.289911 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.292238 2954549 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" } I1012 03:35:53.292464 2954549 layer_factory.hpp:77] Creating layer DummyData1 I1012 03:35:53.292497 2954549 net.cpp:86] Creating Layer DummyData1 I1012 03:35:53.292515 2954549 net.cpp:382] DummyData1 -> DummyData1 I1012 03:35:53.292536 2954549 net.cpp:382] DummyData1 -> DummyData2 I1012 03:35:53.292635 2954549 net.cpp:124] Setting up DummyData1 I1012 03:35:53.292659 2954549 net.cpp:131] Top shape: 50 1 28 28 (39200) I1012 03:35:53.292673 2954549 net.cpp:131] Top shape: 50 1 1 1 (50) I1012 03:35:53.292685 2954549 net.cpp:139] Memory required for data: 157000 I1012 03:35:53.292695 2954549 layer_factory.hpp:77] Creating layer Convolution1 I1012 03:35:53.292722 2954549 net.cpp:86] Creating Layer Convolution1 I1012 03:35:53.292733 2954549 net.cpp:408] Convolution1 <- DummyData1 I1012 03:35:53.292747 2954549 net.cpp:382] Convolution1 -> Convolution1 I1012 03:35:53.292805 2954549 net.cpp:124] Setting up Convolution1 I1012 03:35:53.292819 2954549 net.cpp:131] Top shape: 50 20 24 24 (576000) I1012 03:35:53.292832 2954549 net.cpp:139] Memory required for data: 2461000 I1012 03:35:53.292856 2954549 layer_factory.hpp:77] Creating layer Pooling1 I1012 03:35:53.292876 2954549 net.cpp:86] Creating Layer Pooling1 I1012 03:35:53.292887 2954549 net.cpp:408] Pooling1 <- Convolution1 I1012 03:35:53.292901 2954549 net.cpp:382] Pooling1 -> Pooling1 I1012 03:35:53.292923 2954549 net.cpp:124] Setting up Pooling1 I1012 03:35:53.292934 2954549 net.cpp:131] Top shape: 50 20 12 12 (144000) I1012 03:35:53.292946 2954549 net.cpp:139] Memory required for data: 3037000 I1012 03:35:53.292956 2954549 layer_factory.hpp:77] Creating layer Convolution2 I1012 03:35:53.292979 2954549 net.cpp:86] Creating Layer Convolution2 I1012 03:35:53.292989 2954549 net.cpp:408] Convolution2 <- Pooling1 I1012 03:35:53.293004 2954549 net.cpp:382] Convolution2 -> Convolution2 I1012 03:35:53.293401 2954549 net.cpp:124] Setting up Convolution2 I1012 03:35:53.293416 2954549 net.cpp:131] Top shape: 50 50 8 8 (160000) I1012 03:35:53.293431 2954549 net.cpp:139] Memory required for data: 3677000 I1012 03:35:53.293450 2954549 layer_factory.hpp:77] Creating layer Pooling2 I1012 03:35:53.298919 2954549 net.cpp:86] Creating Layer Pooling2 I1012 03:35:53.298938 2954549 net.cpp:408] Pooling2 <- Convolution2 I1012 03:35:53.298946 2954549 net.cpp:382] Pooling2 -> Pooling2 I1012 03:35:53.298971 2954549 net.cpp:124] Setting up Pooling2 I1012 03:35:53.298977 2954549 net.cpp:131] Top shape: 50 50 4 4 (40000) I1012 03:35:53.298985 2954549 net.cpp:139] Memory required for data: 3837000 I1012 03:35:53.298990 2954549 layer_factory.hpp:77] Creating layer InnerProduct1 I1012 03:35:53.298998 2954549 net.cpp:86] Creating Layer InnerProduct1 I1012 03:35:53.299002 2954549 net.cpp:408] InnerProduct1 <- Pooling2 I1012 03:35:53.299010 2954549 net.cpp:382] InnerProduct1 -> InnerProduct1 I1012 03:35:53.302767 2954549 net.cpp:124] Setting up InnerProduct1 I1012 03:35:53.302781 2954549 net.cpp:131] Top shape: 50 500 (25000) I1012 03:35:53.302788 2954549 net.cpp:139] Memory required for data: 3937000 I1012 03:35:53.302798 2954549 layer_factory.hpp:77] Creating layer ReLU1 I1012 03:35:53.302807 2954549 net.cpp:86] Creating Layer ReLU1 I1012 03:35:53.302811 2954549 net.cpp:408] ReLU1 <- InnerProduct1 I1012 03:35:53.302817 2954549 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) I1012 03:35:53.302834 2954549 net.cpp:124] Setting up ReLU1 I1012 03:35:53.302836 2954549 net.cpp:131] Top shape: 50 500 (25000) I1012 03:35:53.302841 2954549 net.cpp:139] Memory required for data: 4037000 I1012 03:35:53.302845 2954549 layer_factory.hpp:77] Creating layer InnerProduct2 I1012 03:35:53.302850 2954549 net.cpp:86] Creating Layer InnerProduct2 I1012 03:35:53.302855 2954549 net.cpp:408] InnerProduct2 <- InnerProduct1 I1012 03:35:53.302860 2954549 net.cpp:382] InnerProduct2 -> InnerProduct2 I1012 03:35:53.302932 2954549 net.cpp:124] Setting up InnerProduct2 I1012 03:35:53.302940 2954549 net.cpp:131] Top shape: 50 10 (500) I1012 03:35:53.302954 2954549 net.cpp:139] Memory required for data: 4039000 I1012 03:35:53.302959 2954549 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I1012 03:35:53.302971 2954549 net.cpp:86] Creating Layer SoftmaxWithLoss1 I1012 03:35:53.302975 2954549 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 I1012 03:35:53.302980 2954549 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 I1012 03:35:53.302986 2954549 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 I1012 03:35:53.302997 2954549 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 I1012 03:35:53.303026 2954549 net.cpp:124] Setting up SoftmaxWithLoss1 I1012 03:35:53.303033 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.303038 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.303056 2954549 net.cpp:139] Memory required for data: 4039004 I1012 03:35:53.303061 2954549 net.cpp:200] SoftmaxWithLoss1 needs backward computation. I1012 03:35:53.303066 2954549 net.cpp:200] InnerProduct2 needs backward computation. I1012 03:35:53.303071 2954549 net.cpp:200] ReLU1 needs backward computation. I1012 03:35:53.303076 2954549 net.cpp:200] InnerProduct1 needs backward computation. I1012 03:35:53.303081 2954549 net.cpp:200] Pooling2 needs backward computation. I1012 03:35:53.303092 2954549 net.cpp:200] Convolution2 needs backward computation. I1012 03:35:53.303097 2954549 net.cpp:200] Pooling1 needs backward computation. I1012 03:35:53.303103 2954549 net.cpp:200] Convolution1 needs backward computation. I1012 03:35:53.303108 2954549 net.cpp:202] DummyData1 does not need backward computation. I1012 03:35:53.303112 2954549 net.cpp:244] This network produces output SoftmaxWithLoss1 I1012 03:35:53.303128 2954549 net.cpp:257] Network initialization done. ./build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_net_spec.py:87: DeprecationWarning: Please use assertRaisesRegex instead. with self.assertRaisesRegexp(TypeError, r): .I1012 03:35:53.305513 2954549 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" } I1012 03:35:53.305572 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.311478 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.311492 2954549 net.cpp:382] data -> data I1012 03:35:53.311507 2954549 net.cpp:382] data -> data2 I1012 03:35:53.311527 2954549 net.cpp:124] Setting up data I1012 03:35:53.311535 2954549 net.cpp:131] Top shape: 3 (3) I1012 03:35:53.311543 2954549 net.cpp:131] Top shape: 3 (3) I1012 03:35:53.311548 2954549 net.cpp:139] Memory required for data: 24 I1012 03:35:53.311553 2954549 layer_factory.hpp:77] Creating layer silence_data I1012 03:35:53.311571 2954549 net.cpp:86] Creating Layer silence_data I1012 03:35:53.311578 2954549 net.cpp:408] silence_data <- data I1012 03:35:53.311584 2954549 net.cpp:124] Setting up silence_data I1012 03:35:53.311590 2954549 net.cpp:139] Memory required for data: 24 I1012 03:35:53.311594 2954549 layer_factory.hpp:77] Creating layer silence_data2 I1012 03:35:53.311601 2954549 net.cpp:86] Creating Layer silence_data2 I1012 03:35:53.311607 2954549 net.cpp:408] silence_data2 <- data2 I1012 03:35:53.311612 2954549 net.cpp:124] Setting up silence_data2 I1012 03:35:53.311617 2954549 net.cpp:139] Memory required for data: 24 I1012 03:35:53.311621 2954549 net.cpp:202] silence_data2 does not need backward computation. I1012 03:35:53.311627 2954549 net.cpp:202] silence_data does not need backward computation. I1012 03:35:53.311640 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.311648 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.312441 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp5l5kcv0r I1012 03:35:53.312469 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.312475 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.312495 2954549 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" } } I1012 03:35:53.312570 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.312587 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.312594 2954549 net.cpp:382] input -> data I1012 03:35:53.312608 2954549 net.cpp:124] Setting up input I1012 03:35:53.312613 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.312620 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.312625 2954549 layer_factory.hpp:77] Creating layer one I1012 03:35:53.312677 2954549 net.cpp:86] Creating Layer one I1012 03:35:53.312686 2954549 net.cpp:408] one <- data I1012 03:35:53.312693 2954549 net.cpp:382] one -> one I1012 03:35:53.312785 2954549 net.cpp:124] Setting up one I1012 03:35:53.312796 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.312801 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.312806 2954549 layer_factory.hpp:77] Creating layer two I1012 03:35:53.312832 2954549 net.cpp:86] Creating Layer two I1012 03:35:53.312841 2954549 net.cpp:408] two <- one I1012 03:35:53.312847 2954549 net.cpp:382] two -> two I1012 03:35:53.312876 2954549 net.cpp:124] Setting up two I1012 03:35:53.312887 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.312893 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.312897 2954549 layer_factory.hpp:77] Creating layer three I1012 03:35:53.320142 2954549 net.cpp:86] Creating Layer three I1012 03:35:53.320156 2954549 net.cpp:408] three <- two I1012 03:35:53.320165 2954549 net.cpp:382] three -> three I1012 03:35:53.320206 2954549 net.cpp:124] Setting up three I1012 03:35:53.320216 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.320225 2954549 net.cpp:139] Memory required for data: 11520 I1012 03:35:53.320231 2954549 net.cpp:202] three does not need backward computation. I1012 03:35:53.320237 2954549 net.cpp:202] two does not need backward computation. I1012 03:35:53.320243 2954549 net.cpp:202] one does not need backward computation. I1012 03:35:53.320250 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.320255 2954549 net.cpp:244] This network produces output three I1012 03:35:53.320264 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.324995 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpdtdexbpf I1012 03:35:53.325012 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.325018 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.325038 2954549 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" } } I1012 03:35:53.325103 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.325115 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.325124 2954549 net.cpp:382] input -> data I1012 03:35:53.325136 2954549 net.cpp:124] Setting up input I1012 03:35:53.325142 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.325150 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.325155 2954549 layer_factory.hpp:77] Creating layer one I1012 03:35:53.325186 2954549 net.cpp:86] Creating Layer one I1012 03:35:53.325194 2954549 net.cpp:408] one <- data I1012 03:35:53.325202 2954549 net.cpp:382] one -> one I1012 03:35:53.325237 2954549 net.cpp:124] Setting up one I1012 03:35:53.325245 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.325253 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.325258 2954549 layer_factory.hpp:77] Creating layer two I1012 03:35:53.325286 2954549 net.cpp:86] Creating Layer two I1012 03:35:53.325295 2954549 net.cpp:408] two <- one I1012 03:35:53.325304 2954549 net.cpp:382] two -> two I1012 03:35:53.325331 2954549 net.cpp:124] Setting up two I1012 03:35:53.325340 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.325347 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.325353 2954549 layer_factory.hpp:77] Creating layer three I1012 03:35:53.325378 2954549 net.cpp:86] Creating Layer three I1012 03:35:53.325387 2954549 net.cpp:408] three <- two I1012 03:35:53.325394 2954549 net.cpp:382] three -> three I1012 03:35:53.325420 2954549 net.cpp:124] Setting up three I1012 03:35:53.325429 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.325436 2954549 net.cpp:139] Memory required for data: 11520 I1012 03:35:53.325443 2954549 net.cpp:202] three does not need backward computation. I1012 03:35:53.325448 2954549 net.cpp:202] two does not need backward computation. I1012 03:35:53.325454 2954549 net.cpp:202] one does not need backward computation. I1012 03:35:53.325460 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.325466 2954549 net.cpp:244] This network produces output three I1012 03:35:53.341588 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.342540 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp5g55zob6 I1012 03:35:53.342586 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.342608 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.342649 2954549 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" } } I1012 03:35:53.342765 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.342801 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.342828 2954549 net.cpp:382] input -> data I1012 03:35:53.342865 2954549 net.cpp:124] Setting up input I1012 03:35:53.342890 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.342914 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.342937 2954549 layer_factory.hpp:77] Creating layer layer I1012 03:35:53.343014 2954549 net.cpp:86] Creating Layer layer I1012 03:35:53.343044 2954549 net.cpp:408] layer <- data I1012 03:35:53.343067 2954549 net.cpp:382] layer -> top .I1012 03:35:53.343977 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp2qwg6vz7 I1012 03:35:53.344017 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.344041 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.344082 2954549 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" } } I1012 03:35:53.344199 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.344233 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.344260 2954549 net.cpp:382] input -> data I1012 03:35:53.344292 2954549 net.cpp:124] Setting up input I1012 03:35:53.344316 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.344338 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.344359 2954549 layer_factory.hpp:77] Creating layer one I1012 03:35:53.344421 2954549 net.cpp:86] Creating Layer one I1012 03:35:53.344449 2954549 net.cpp:408] one <- data I1012 03:35:53.344476 2954549 net.cpp:382] one -> one I1012 03:35:53.344566 2954549 net.cpp:124] Setting up one I1012 03:35:53.344594 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.344615 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.344633 2954549 layer_factory.hpp:77] Creating layer two I1012 03:35:53.344681 2954549 net.cpp:86] Creating Layer two I1012 03:35:53.344708 2954549 net.cpp:408] two <- one I1012 03:35:53.344734 2954549 net.cpp:382] two -> two I1012 03:35:53.344794 2954549 net.cpp:124] Setting up two I1012 03:35:53.344822 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.344846 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.344928 2954549 layer_factory.hpp:77] Creating layer three I1012 03:35:53.348798 2954549 net.cpp:86] Creating Layer three I1012 03:35:53.348829 2954549 net.cpp:408] three <- two I1012 03:35:53.348846 2954549 net.cpp:382] three -> three I1012 03:35:53.348942 2954549 net.cpp:124] Setting up three I1012 03:35:53.348960 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.348976 2954549 net.cpp:139] Memory required for data: 11520 I1012 03:35:53.348985 2954549 net.cpp:202] three does not need backward computation. I1012 03:35:53.348999 2954549 net.cpp:202] two does not need backward computation. I1012 03:35:53.349010 2954549 net.cpp:202] one does not need backward computation. I1012 03:35:53.349022 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.349033 2954549 net.cpp:244] This network produces output three I1012 03:35:53.349048 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.357939 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp74lq5cpx I1012 03:35:53.357980 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.357996 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.358042 2954549 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" } } I1012 03:35:53.358179 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.358207 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.358224 2954549 net.cpp:382] input -> data I1012 03:35:53.358253 2954549 net.cpp:124] Setting up input I1012 03:35:53.358266 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.358283 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.358295 2954549 layer_factory.hpp:77] Creating layer one I1012 03:35:53.358356 2954549 net.cpp:86] Creating Layer one I1012 03:35:53.358376 2954549 net.cpp:408] one <- data I1012 03:35:53.358390 2954549 net.cpp:382] one -> one I1012 03:35:53.358469 2954549 net.cpp:124] Setting up one I1012 03:35:53.358486 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.358500 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.358511 2954549 layer_factory.hpp:77] Creating layer two I1012 03:35:53.358551 2954549 net.cpp:86] Creating Layer two I1012 03:35:53.358568 2954549 net.cpp:408] two <- one I1012 03:35:53.358582 2954549 net.cpp:382] two -> two I1012 03:35:53.358633 2954549 net.cpp:124] Setting up two I1012 03:35:53.358649 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.358664 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.358677 2954549 layer_factory.hpp:77] Creating layer three I1012 03:35:53.358717 2954549 net.cpp:86] Creating Layer three I1012 03:35:53.358736 2954549 net.cpp:408] three <- two I1012 03:35:53.358752 2954549 net.cpp:382] three -> three I1012 03:35:53.358803 2954549 net.cpp:124] Setting up three I1012 03:35:53.358821 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.358836 2954549 net.cpp:139] Memory required for data: 11520 I1012 03:35:53.358850 2954549 net.cpp:202] three does not need backward computation. I1012 03:35:53.358863 2954549 net.cpp:202] two does not need backward computation. I1012 03:35:53.358876 2954549 net.cpp:202] one does not need backward computation. I1012 03:35:53.358889 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.358901 2954549 net.cpp:244] This network produces output three I1012 03:35:53.392616 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.393924 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpevif8ywh I1012 03:35:53.393961 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.393975 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.394007 2954549 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" } } I1012 03:35:53.394111 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.394134 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.394151 2954549 net.cpp:382] input -> data I1012 03:35:53.394177 2954549 net.cpp:124] Setting up input I1012 03:35:53.394189 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.394201 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.394212 2954549 layer_factory.hpp:77] Creating layer layer I1012 03:35:53.394273 2954549 net.cpp:86] Creating Layer layer I1012 03:35:53.394290 2954549 net.cpp:408] layer <- data I1012 03:35:53.394307 2954549 net.cpp:382] layer -> top I1012 03:35:53.394424 2954549 net.cpp:124] Setting up layer I1012 03:35:53.394443 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.394455 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.394476 2954549 net.cpp:202] layer does not need backward computation. I1012 03:35:53.394498 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.394508 2954549 net.cpp:244] This network produces output top I1012 03:35:53.394522 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.396446 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpevif8ywh I1012 03:35:53.396471 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.396484 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.396507 2954549 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" } } I1012 03:35:53.396591 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.396620 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.396636 2954549 net.cpp:382] input -> data I1012 03:35:53.396658 2954549 net.cpp:124] Setting up input I1012 03:35:53.396680 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.396692 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.396703 2954549 layer_factory.hpp:77] Creating layer layer I1012 03:35:53.396754 2954549 net.cpp:86] Creating Layer layer I1012 03:35:53.396770 2954549 net.cpp:408] layer <- data I1012 03:35:53.396785 2954549 net.cpp:382] layer -> top I1012 03:35:53.396869 2954549 net.cpp:124] Setting up layer I1012 03:35:53.396886 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.396899 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.396916 2954549 net.cpp:202] layer does not need backward computation. I1012 03:35:53.396929 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.396940 2954549 net.cpp:244] This network produces output top I1012 03:35:53.396955 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.397837 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpk8klb7ew I1012 03:35:53.397861 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.397872 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.397897 2954549 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" } } I1012 03:35:53.397995 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.398018 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.398036 2954549 net.cpp:382] input -> data I1012 03:35:53.398053 2954549 net.cpp:124] Setting up input I1012 03:35:53.398061 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.398072 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.398083 2954549 layer_factory.hpp:77] Creating layer one I1012 03:35:53.398124 2954549 net.cpp:86] Creating Layer one I1012 03:35:53.398140 2954549 net.cpp:408] one <- data I1012 03:35:53.398152 2954549 net.cpp:382] one -> one I1012 03:35:53.398202 2954549 net.cpp:124] Setting up one I1012 03:35:53.398218 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.398231 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.398242 2954549 layer_factory.hpp:77] Creating layer two I1012 03:35:53.398280 2954549 net.cpp:86] Creating Layer two I1012 03:35:53.398295 2954549 net.cpp:408] two <- one I1012 03:35:53.398310 2954549 net.cpp:382] two -> two I1012 03:35:53.398360 2954549 net.cpp:124] Setting up two I1012 03:35:53.398375 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.398389 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.398399 2954549 layer_factory.hpp:77] Creating layer three I1012 03:35:53.398437 2954549 net.cpp:86] Creating Layer three I1012 03:35:53.398453 2954549 net.cpp:408] three <- two I1012 03:35:53.398468 2954549 net.cpp:382] three -> three I1012 03:35:53.398516 2954549 net.cpp:124] Setting up three I1012 03:35:53.398532 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.398546 2954549 net.cpp:139] Memory required for data: 11520 I1012 03:35:53.398557 2954549 net.cpp:202] three does not need backward computation. I1012 03:35:53.398568 2954549 net.cpp:202] two does not need backward computation. I1012 03:35:53.398579 2954549 net.cpp:202] one does not need backward computation. I1012 03:35:53.398591 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.398600 2954549 net.cpp:244] This network produces output three I1012 03:35:53.398613 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.399094 2954549 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" } } I1012 03:35:53.399150 2954549 layer_factory.hpp:77] Creating layer layer I1012 03:35:53.399202 2954549 net.cpp:86] Creating Layer layer I1012 03:35:53.399220 2954549 net.cpp:382] layer -> phase I1012 03:35:53.399267 2954549 net.cpp:124] Setting up layer I1012 03:35:53.399283 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.399296 2954549 net.cpp:139] Memory required for data: 4 I1012 03:35:53.399309 2954549 net.cpp:202] layer does not need backward computation. I1012 03:35:53.406958 2954549 net.cpp:244] This network produces output phase I1012 03:35:53.406986 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.407498 2954549 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" } } I1012 03:35:53.407568 2954549 layer_factory.hpp:77] Creating layer layer I1012 03:35:53.407615 2954549 net.cpp:86] Creating Layer layer I1012 03:35:53.407634 2954549 net.cpp:382] layer -> phase I1012 03:35:53.407665 2954549 net.cpp:124] Setting up layer I1012 03:35:53.407675 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.407680 2954549 net.cpp:139] Memory required for data: 4 I1012 03:35:53.407686 2954549 net.cpp:202] layer does not need backward computation. I1012 03:35:53.407691 2954549 net.cpp:244] This network produces output phase I1012 03:35:53.407696 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.408527 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpllhgfkww I1012 03:35:53.408547 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.408551 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.408571 2954549 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" } } I1012 03:35:53.408635 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.408644 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.408651 2954549 net.cpp:382] input -> data I1012 03:35:53.408665 2954549 net.cpp:124] Setting up input I1012 03:35:53.408671 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.408676 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.408681 2954549 layer_factory.hpp:77] Creating layer one I1012 03:35:53.408710 2954549 net.cpp:86] Creating Layer one I1012 03:35:53.408720 2954549 net.cpp:408] one <- data I1012 03:35:53.408726 2954549 net.cpp:382] one -> one I1012 03:35:53.408761 2954549 net.cpp:124] Setting up one I1012 03:35:53.408769 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.408774 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.408778 2954549 layer_factory.hpp:77] Creating layer two I1012 03:35:53.408802 2954549 net.cpp:86] Creating Layer two I1012 03:35:53.408810 2954549 net.cpp:408] two <- one I1012 03:35:53.408818 2954549 net.cpp:382] two -> two I1012 03:35:53.408845 2954549 net.cpp:124] Setting up two I1012 03:35:53.408854 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.408861 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.408866 2954549 layer_factory.hpp:77] Creating layer three I1012 03:35:53.408888 2954549 net.cpp:86] Creating Layer three I1012 03:35:53.408896 2954549 net.cpp:408] three <- two I1012 03:35:53.408905 2954549 net.cpp:382] three -> three I1012 03:35:53.408929 2954549 net.cpp:124] Setting up three I1012 03:35:53.408938 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.408946 2954549 net.cpp:139] Memory required for data: 11520 I1012 03:35:53.408951 2954549 net.cpp:202] three does not need backward computation. I1012 03:35:53.408957 2954549 net.cpp:202] two does not need backward computation. I1012 03:35:53.408968 2954549 net.cpp:202] one does not need backward computation. I1012 03:35:53.408974 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.408980 2954549 net.cpp:244] This network produces output three I1012 03:35:53.408990 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.409978 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpl92tzyqw I1012 03:35:53.409993 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.409997 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.410010 2954549 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" } } I1012 03:35:53.410058 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.410068 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.410073 2954549 net.cpp:382] input -> data I1012 03:35:53.410082 2954549 net.cpp:124] Setting up input I1012 03:35:53.410089 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.410094 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.410099 2954549 layer_factory.hpp:77] Creating layer mul10 I1012 03:35:53.410132 2954549 net.cpp:86] Creating Layer mul10 I1012 03:35:53.410141 2954549 net.cpp:408] mul10 <- data I1012 03:35:53.410147 2954549 net.cpp:382] mul10 -> mul10 I1012 03:35:53.410187 2954549 net.cpp:124] Setting up mul10 I1012 03:35:53.410195 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.410202 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.410205 2954549 layer_factory.hpp:77] Creating layer mul2 I1012 03:35:53.410228 2954549 net.cpp:86] Creating Layer mul2 I1012 03:35:53.410235 2954549 net.cpp:408] mul2 <- mul10 I1012 03:35:53.410241 2954549 net.cpp:382] mul2 -> mul2 I1012 03:35:53.410269 2954549 net.cpp:124] Setting up mul2 I1012 03:35:53.410277 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.410284 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.410287 2954549 net.cpp:202] mul2 does not need backward computation. I1012 03:35:53.410291 2954549 net.cpp:202] mul10 does not need backward computation. I1012 03:35:53.410295 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.410300 2954549 net.cpp:244] This network produces output mul2 I1012 03:35:53.410305 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.414650 2954549 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpihnw1lwu I1012 03:35:53.414669 2954549 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. W1012 03:35:53.414675 2954549 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. I1012 03:35:53.414690 2954549 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" } } I1012 03:35:53.414746 2954549 layer_factory.hpp:77] Creating layer input I1012 03:35:53.414757 2954549 net.cpp:86] Creating Layer input I1012 03:35:53.414762 2954549 net.cpp:382] input -> data I1012 03:35:53.414773 2954549 net.cpp:124] Setting up input I1012 03:35:53.414781 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.414786 2954549 net.cpp:139] Memory required for data: 2880 I1012 03:35:53.414791 2954549 layer_factory.hpp:77] Creating layer mul10 I1012 03:35:53.414822 2954549 net.cpp:86] Creating Layer mul10 I1012 03:35:53.414831 2954549 net.cpp:408] mul10 <- data I1012 03:35:53.414839 2954549 net.cpp:382] mul10 -> mul10 I1012 03:35:53.414875 2954549 net.cpp:124] Setting up mul10 I1012 03:35:53.414885 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.414891 2954549 net.cpp:139] Memory required for data: 5760 I1012 03:35:53.414894 2954549 layer_factory.hpp:77] Creating layer mul2 I1012 03:35:53.414916 2954549 net.cpp:86] Creating Layer mul2 I1012 03:35:53.414921 2954549 net.cpp:408] mul2 <- mul10 I1012 03:35:53.414928 2954549 net.cpp:382] mul2 -> mul2 I1012 03:35:53.414955 2954549 net.cpp:124] Setting up mul2 I1012 03:35:53.414965 2954549 net.cpp:131] Top shape: 10 9 8 (720) I1012 03:35:53.414970 2954549 net.cpp:139] Memory required for data: 8640 I1012 03:35:53.414974 2954549 net.cpp:202] mul2 does not need backward computation. I1012 03:35:53.414978 2954549 net.cpp:202] mul10 does not need backward computation. I1012 03:35:53.414983 2954549 net.cpp:202] input does not need backward computation. I1012 03:35:53.414985 2954549 net.cpp:244] This network produces output mul2 I1012 03:35:53.414992 2954549 net.cpp:257] Network initialization done. .I1012 03:35:53.419922 2954549 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/tmpn9mmsq_y" snapshot_after_train: false I1012 03:35:53.420001 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpn9mmsq_y I1012 03:35:53.420150 2954549 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" } I1012 03:35:53.420255 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.420269 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.420277 2954549 net.cpp:382] data -> data I1012 03:35:53.420292 2954549 net.cpp:382] data -> label I1012 03:35:53.420312 2954549 net.cpp:124] Setting up data I1012 03:35:53.420320 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.420328 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.420332 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.420336 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.420347 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.420353 2954549 net.cpp:408] conv <- data I1012 03:35:53.420362 2954549 net.cpp:382] conv -> conv I1012 03:35:53.454136 2954549 net.cpp:124] Setting up conv I1012 03:35:53.454171 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.454193 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.454221 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.454247 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.454263 2954549 net.cpp:408] ip <- conv I1012 03:35:53.454284 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.454530 2954549 net.cpp:124] Setting up ip I1012 03:35:53.454550 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.454566 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.454584 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.454604 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.454618 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.454632 2954549 net.cpp:408] loss <- label I1012 03:35:53.454649 2954549 net.cpp:382] loss -> loss I1012 03:35:53.454674 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.454710 2954549 net.cpp:124] Setting up loss I1012 03:35:53.454726 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.454741 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.454771 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.454784 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.454797 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.454810 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.454825 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.454838 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.454855 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.455153 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpn9mmsq_y I1012 03:35:53.455204 2954549 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" } I1012 03:35:53.455397 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.455423 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.455441 2954549 net.cpp:382] data -> data I1012 03:35:53.455464 2954549 net.cpp:382] data -> label I1012 03:35:53.455493 2954549 net.cpp:124] Setting up data I1012 03:35:53.455510 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.455524 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.455538 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.455550 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.455571 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.455586 2954549 net.cpp:408] conv <- data I1012 03:35:53.455603 2954549 net.cpp:382] conv -> conv I1012 03:35:53.455647 2954549 net.cpp:124] Setting up conv I1012 03:35:53.455664 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.455678 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.455700 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.455720 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.460681 2954549 net.cpp:408] ip <- conv I1012 03:35:53.460734 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.460999 2954549 net.cpp:124] Setting up ip I1012 03:35:53.461020 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.461040 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.461067 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.461087 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.461102 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.461117 2954549 net.cpp:408] loss <- label I1012 03:35:53.461134 2954549 net.cpp:382] loss -> loss I1012 03:35:53.461158 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.461192 2954549 net.cpp:124] Setting up loss I1012 03:35:53.461210 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.461223 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.461251 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.461264 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.461278 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.461292 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.461306 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.461319 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.461338 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.461400 2954549 solver.cpp:57] Solver scaffolding done. I1012 03:35:53.461637 2954549 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/tmpn9mmsq_y" snapshot_after_train: false I1012 03:35:53.461732 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpn9mmsq_y I1012 03:35:53.461971 2954549 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" } I1012 03:35:53.462154 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.462182 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.462203 2954549 net.cpp:382] data -> data I1012 03:35:53.462226 2954549 net.cpp:382] data -> label I1012 03:35:53.462255 2954549 net.cpp:124] Setting up data I1012 03:35:53.462272 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.462289 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.462303 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.462316 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.462340 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.462357 2954549 net.cpp:408] conv <- data I1012 03:35:53.462375 2954549 net.cpp:382] conv -> conv I1012 03:35:53.462425 2954549 net.cpp:124] Setting up conv I1012 03:35:53.462442 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.462457 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.462479 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.462498 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.469369 2954549 net.cpp:408] ip <- conv I1012 03:35:53.469424 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.469698 2954549 net.cpp:124] Setting up ip I1012 03:35:53.469740 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.469772 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.469810 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.469854 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.469882 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.469906 2954549 net.cpp:408] loss <- label I1012 03:35:53.469933 2954549 net.cpp:382] loss -> loss I1012 03:35:53.469969 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.470016 2954549 net.cpp:124] Setting up loss I1012 03:35:53.470042 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.470067 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.470109 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.470134 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.470155 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.470176 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.470201 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.470224 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.470253 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.470551 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpn9mmsq_y I1012 03:35:53.470620 2954549 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" } I1012 03:35:53.470834 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.470872 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.470904 2954549 net.cpp:382] data -> data I1012 03:35:53.470937 2954549 net.cpp:382] data -> label I1012 03:35:53.470976 2954549 net.cpp:124] Setting up data I1012 03:35:53.471002 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.471027 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.471053 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.471074 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.471109 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.471136 2954549 net.cpp:408] conv <- data I1012 03:35:53.471165 2954549 net.cpp:382] conv -> conv I1012 03:35:53.471228 2954549 net.cpp:124] Setting up conv I1012 03:35:53.471256 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.471280 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.471309 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.471339 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.471364 2954549 net.cpp:408] ip <- conv I1012 03:35:53.471391 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.471639 2954549 net.cpp:124] Setting up ip I1012 03:35:53.471669 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.471695 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.471740 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.471769 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.471791 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.471812 2954549 net.cpp:408] loss <- label I1012 03:35:53.471838 2954549 net.cpp:382] loss -> loss I1012 03:35:53.471868 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.471910 2954549 net.cpp:124] Setting up loss I1012 03:35:53.471933 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.471956 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.471987 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.472008 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.472030 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.472051 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.472072 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.472091 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.472115 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.472158 2954549 solver.cpp:57] Solver scaffolding done. I1012 03:35:53.473253 2954549 sgd_solver.cpp:112] Iteration 0, lr = 0.01 .I1012 03:35:53.474623 2954549 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/tmpcngts_55" snapshot_after_train: false I1012 03:35:53.474732 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpcngts_55 I1012 03:35:53.474968 2954549 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" } I1012 03:35:53.475164 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.475205 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.475239 2954549 net.cpp:382] data -> data I1012 03:35:53.475275 2954549 net.cpp:382] data -> label I1012 03:35:53.475318 2954549 net.cpp:124] Setting up data I1012 03:35:53.475345 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.475373 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.475396 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.475419 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.475453 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.475477 2954549 net.cpp:408] conv <- data I1012 03:35:53.475507 2954549 net.cpp:382] conv -> conv I1012 03:35:53.475572 2954549 net.cpp:124] Setting up conv I1012 03:35:53.475600 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.475625 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.475657 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.475687 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.475711 2954549 net.cpp:408] ip <- conv I1012 03:35:53.475739 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.475983 2954549 net.cpp:124] Setting up ip I1012 03:35:53.476016 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.476038 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.476060 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.476084 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.476106 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.476128 2954549 net.cpp:408] loss <- label I1012 03:35:53.476150 2954549 net.cpp:382] loss -> loss I1012 03:35:53.476179 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.476220 2954549 net.cpp:124] Setting up loss I1012 03:35:53.476246 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.476270 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.476301 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.476322 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.476344 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.476366 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.476389 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.476410 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.476437 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.476655 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpcngts_55 I1012 03:35:53.476706 2954549 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" } I1012 03:35:53.476887 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.476922 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.476953 2954549 net.cpp:382] data -> data I1012 03:35:53.476985 2954549 net.cpp:382] data -> label I1012 03:35:53.477022 2954549 net.cpp:124] Setting up data I1012 03:35:53.477048 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.477074 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.477098 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.477120 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.477150 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.477172 2954549 net.cpp:408] conv <- data I1012 03:35:53.477196 2954549 net.cpp:382] conv -> conv I1012 03:35:53.477247 2954549 net.cpp:124] Setting up conv I1012 03:35:53.477270 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.477291 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.477319 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.477344 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.477362 2954549 net.cpp:408] ip <- conv I1012 03:35:53.477386 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.477630 2954549 net.cpp:124] Setting up ip I1012 03:35:53.477655 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.477672 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.477692 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.477711 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.477727 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.477841 2954549 net.cpp:408] loss <- label I1012 03:35:53.485211 2954549 net.cpp:382] loss -> loss I1012 03:35:53.485255 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.485289 2954549 net.cpp:124] Setting up loss I1012 03:35:53.485297 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.485307 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.485330 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.485337 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.485347 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.485354 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.485360 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.485366 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.485378 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.485425 2954549 solver.cpp:57] Solver scaffolding done. I1012 03:35:53.485621 2954549 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/tmpcngts_55" snapshot_after_train: false I1012 03:35:53.485694 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpcngts_55 I1012 03:35:53.485864 2954549 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" } I1012 03:35:53.485988 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.486003 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.486016 2954549 net.cpp:382] data -> data I1012 03:35:53.486032 2954549 net.cpp:382] data -> label I1012 03:35:53.486050 2954549 net.cpp:124] Setting up data I1012 03:35:53.486059 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.486068 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.486073 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.486076 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.486093 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.486101 2954549 net.cpp:408] conv <- data I1012 03:35:53.486110 2954549 net.cpp:382] conv -> conv I1012 03:35:53.486150 2954549 net.cpp:124] Setting up conv I1012 03:35:53.486160 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.486166 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.486176 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.486191 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.486197 2954549 net.cpp:408] ip <- conv I1012 03:35:53.486204 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.486387 2954549 net.cpp:124] Setting up ip I1012 03:35:53.486394 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.486399 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.486410 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.486423 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.486428 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.486433 2954549 net.cpp:408] loss <- label I1012 03:35:53.486449 2954549 net.cpp:382] loss -> loss I1012 03:35:53.486459 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.486479 2954549 net.cpp:124] Setting up loss I1012 03:35:53.486487 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.486493 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.486505 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.486515 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.486521 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.486524 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.486531 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.486538 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.486549 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.486671 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpcngts_55 I1012 03:35:53.486697 2954549 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" } I1012 03:35:53.486796 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.486814 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.486824 2954549 net.cpp:382] data -> data I1012 03:35:53.486836 2954549 net.cpp:382] data -> label I1012 03:35:53.486852 2954549 net.cpp:124] Setting up data I1012 03:35:53.486860 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.486866 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.486877 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.486882 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.486892 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.486899 2954549 net.cpp:408] conv <- data I1012 03:35:53.486913 2954549 net.cpp:382] conv -> conv I1012 03:35:53.486943 2954549 net.cpp:124] Setting up conv I1012 03:35:53.486949 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.486955 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.486968 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.486979 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.486985 2954549 net.cpp:408] ip <- conv I1012 03:35:53.486994 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.487175 2954549 net.cpp:124] Setting up ip I1012 03:35:53.487183 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.487190 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.487202 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.487211 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.487217 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.487226 2954549 net.cpp:408] loss <- label I1012 03:35:53.487236 2954549 net.cpp:382] loss -> loss I1012 03:35:53.487246 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.487264 2954549 net.cpp:124] Setting up loss I1012 03:35:53.487272 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.487277 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.487535 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.487543 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.487548 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.487558 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.487565 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.487569 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.487578 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.487601 2954549 solver.cpp:57] Solver scaffolding done. .I1012 03:35:53.490356 2954549 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/tmpqk79_05z" snapshot_after_train: false I1012 03:35:53.490415 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpqk79_05z I1012 03:35:53.490557 2954549 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" } I1012 03:35:53.490670 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.490690 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.490701 2954549 net.cpp:382] data -> data I1012 03:35:53.490717 2954549 net.cpp:382] data -> label I1012 03:35:53.490736 2954549 net.cpp:124] Setting up data I1012 03:35:53.490742 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.490754 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.490761 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.490767 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.490779 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.490789 2954549 net.cpp:408] conv <- data I1012 03:35:53.490799 2954549 net.cpp:382] conv -> conv I1012 03:35:53.490830 2954549 net.cpp:124] Setting up conv I1012 03:35:53.490839 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.490846 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.490860 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.490870 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.490877 2954549 net.cpp:408] ip <- conv I1012 03:35:53.490890 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.491066 2954549 net.cpp:124] Setting up ip I1012 03:35:53.491075 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.491086 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.491096 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.491104 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.491111 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.491122 2954549 net.cpp:408] loss <- label I1012 03:35:53.491130 2954549 net.cpp:382] loss -> loss I1012 03:35:53.491142 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.491163 2954549 net.cpp:124] Setting up loss I1012 03:35:53.491170 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.491178 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.496618 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.496634 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.496641 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.496645 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.496654 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.496663 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.496675 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.496850 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpqk79_05z I1012 03:35:53.496881 2954549 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" } I1012 03:35:53.496999 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.497016 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.497027 2954549 net.cpp:382] data -> data I1012 03:35:53.497041 2954549 net.cpp:382] data -> label I1012 03:35:53.497061 2954549 net.cpp:124] Setting up data I1012 03:35:53.497067 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.497079 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.497087 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.497090 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.497105 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.497114 2954549 net.cpp:408] conv <- data I1012 03:35:53.497123 2954549 net.cpp:382] conv -> conv I1012 03:35:53.497156 2954549 net.cpp:124] Setting up conv I1012 03:35:53.497164 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.497176 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.497185 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.497195 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.497205 2954549 net.cpp:408] ip <- conv I1012 03:35:53.497215 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.497393 2954549 net.cpp:124] Setting up ip I1012 03:35:53.497402 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.497408 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.497416 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.497427 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.497435 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.497440 2954549 net.cpp:408] loss <- label I1012 03:35:53.497447 2954549 net.cpp:382] loss -> loss I1012 03:35:53.497462 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.497493 2954549 net.cpp:124] Setting up loss I1012 03:35:53.497503 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.497509 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.497520 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.497530 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.497537 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.497542 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.497547 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.498114 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.498131 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.498152 2954549 solver.cpp:57] Solver scaffolding done. I1012 03:35:53.498268 2954549 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/tmpqk79_05z" snapshot_after_train: false I1012 03:35:53.498317 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpqk79_05z I1012 03:35:53.498437 2954549 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" } I1012 03:35:53.498539 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.498556 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.498566 2954549 net.cpp:382] data -> data I1012 03:35:53.498582 2954549 net.cpp:382] data -> label I1012 03:35:53.498596 2954549 net.cpp:124] Setting up data I1012 03:35:53.498602 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.498615 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.498622 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.498626 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.498638 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.498648 2954549 net.cpp:408] conv <- data I1012 03:35:53.498658 2954549 net.cpp:382] conv -> conv I1012 03:35:53.498687 2954549 net.cpp:124] Setting up conv I1012 03:35:53.498694 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.498701 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.498715 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.498724 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.498733 2954549 net.cpp:408] ip <- conv I1012 03:35:53.498745 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.498921 2954549 net.cpp:124] Setting up ip I1012 03:35:53.498934 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.498941 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.498948 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.498958 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.498967 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.498975 2954549 net.cpp:408] loss <- label I1012 03:35:53.498981 2954549 net.cpp:382] loss -> loss I1012 03:35:53.498992 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.499009 2954549 net.cpp:124] Setting up loss I1012 03:35:53.499017 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.499023 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.499037 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.499042 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.499048 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.499053 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.499064 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.499070 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.499078 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.499198 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpqk79_05z I1012 03:35:53.499226 2954549 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" } I1012 03:35:53.499326 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.499339 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.499351 2954549 net.cpp:382] data -> data I1012 03:35:53.499366 2954549 net.cpp:382] data -> label I1012 03:35:53.499378 2954549 net.cpp:124] Setting up data I1012 03:35:53.499388 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.499397 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.499402 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.499406 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.499419 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.499428 2954549 net.cpp:408] conv <- data I1012 03:35:53.499436 2954549 net.cpp:382] conv -> conv I1012 03:35:53.499464 2954549 net.cpp:124] Setting up conv I1012 03:35:53.499472 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.499478 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.499490 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.499501 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.499507 2954549 net.cpp:408] ip <- conv I1012 03:35:53.499516 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.499697 2954549 net.cpp:124] Setting up ip I1012 03:35:53.499706 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.499711 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.499722 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.499732 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.499737 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.499742 2954549 net.cpp:408] loss <- label I1012 03:35:53.499752 2954549 net.cpp:382] loss -> loss I1012 03:35:53.499765 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.499780 2954549 net.cpp:124] Setting up loss I1012 03:35:53.499790 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.499796 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.499806 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.499810 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.499819 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.499826 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.499833 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.499838 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.499845 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.499866 2954549 solver.cpp:57] Solver scaffolding done. I1012 03:35:53.500634 2954549 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel I1012 03:35:53.500980 2954549 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate .I1012 03:35:53.502022 2954549 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/tmpxmhqh8d4" snapshot_after_train: false I1012 03:35:53.502068 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpxmhqh8d4 I1012 03:35:53.502174 2954549 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" } I1012 03:35:53.502265 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.502279 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.502287 2954549 net.cpp:382] data -> data I1012 03:35:53.502298 2954549 net.cpp:382] data -> label I1012 03:35:53.502311 2954549 net.cpp:124] Setting up data I1012 03:35:53.502317 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.502323 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.502328 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.502333 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.502342 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.502348 2954549 net.cpp:408] conv <- data I1012 03:35:53.502355 2954549 net.cpp:382] conv -> conv I1012 03:35:53.502382 2954549 net.cpp:124] Setting up conv I1012 03:35:53.502389 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.502394 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.502403 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.502413 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.502418 2954549 net.cpp:408] ip <- conv I1012 03:35:53.502425 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.502583 2954549 net.cpp:124] Setting up ip I1012 03:35:53.502590 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.502595 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.502602 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.502610 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.502616 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.502621 2954549 net.cpp:408] loss <- label I1012 03:35:53.502629 2954549 net.cpp:382] loss -> loss I1012 03:35:53.502637 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.502652 2954549 net.cpp:124] Setting up loss I1012 03:35:53.502660 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.502665 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.502674 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.502679 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.502684 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.502688 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.502694 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.502703 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.502710 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.502811 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxmhqh8d4 I1012 03:35:53.502833 2954549 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" } I1012 03:35:53.502915 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.502928 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.502935 2954549 net.cpp:382] data -> data I1012 03:35:53.502945 2954549 net.cpp:382] data -> label I1012 03:35:53.502959 2954549 net.cpp:124] Setting up data I1012 03:35:53.502965 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.502971 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.502976 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.502980 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.502990 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.502996 2954549 net.cpp:408] conv <- data I1012 03:35:53.503005 2954549 net.cpp:382] conv -> conv I1012 03:35:53.503026 2954549 net.cpp:124] Setting up conv I1012 03:35:53.503032 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.503038 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.503046 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.503054 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.503060 2954549 net.cpp:408] ip <- conv I1012 03:35:53.503067 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.503227 2954549 net.cpp:124] Setting up ip I1012 03:35:53.503234 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.503239 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.503247 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.503254 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.503258 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.503263 2954549 net.cpp:408] loss <- label I1012 03:35:53.503271 2954549 net.cpp:382] loss -> loss I1012 03:35:53.503280 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.503294 2954549 net.cpp:124] Setting up loss I1012 03:35:53.503301 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.503306 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.503316 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.503321 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.503325 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.503331 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.503336 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.503340 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.503348 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.503367 2954549 solver.cpp:57] Solver scaffolding done. I1012 03:35:53.503440 2954549 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/tmpxmhqh8d4" snapshot_after_train: false I1012 03:35:53.503479 2954549 solver.cpp:102] Creating training net from net file: /tmp/tmpxmhqh8d4 I1012 03:35:53.503574 2954549 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" } I1012 03:35:53.503656 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.503669 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.503676 2954549 net.cpp:382] data -> data I1012 03:35:53.503687 2954549 net.cpp:382] data -> label I1012 03:35:53.503700 2954549 net.cpp:124] Setting up data I1012 03:35:53.503706 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.503712 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.503716 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.503721 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.503731 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.503736 2954549 net.cpp:408] conv <- data I1012 03:35:53.503742 2954549 net.cpp:382] conv -> conv I1012 03:35:53.503765 2954549 net.cpp:124] Setting up conv I1012 03:35:53.503772 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.503777 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.503785 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.503794 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.503800 2954549 net.cpp:408] ip <- conv I1012 03:35:53.503808 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.503966 2954549 net.cpp:124] Setting up ip I1012 03:35:53.503973 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.503979 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.503985 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.503993 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.503999 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.504004 2954549 net.cpp:408] loss <- label I1012 03:35:53.504011 2954549 net.cpp:382] loss -> loss I1012 03:35:53.504019 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.504034 2954549 net.cpp:124] Setting up loss I1012 03:35:53.504040 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.504045 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.504055 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.504060 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.504065 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.504070 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.504076 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.504079 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.504087 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.504186 2954549 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxmhqh8d4 I1012 03:35:53.504209 2954549 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" } I1012 03:35:53.504390 2954549 layer_factory.hpp:77] Creating layer data I1012 03:35:53.504403 2954549 net.cpp:86] Creating Layer data I1012 03:35:53.504411 2954549 net.cpp:382] data -> data I1012 03:35:53.504423 2954549 net.cpp:382] data -> label I1012 03:35:53.504436 2954549 net.cpp:124] Setting up data I1012 03:35:53.504442 2954549 net.cpp:131] Top shape: 5 2 3 4 (120) I1012 03:35:53.504448 2954549 net.cpp:131] Top shape: 5 1 1 1 (5) I1012 03:35:53.504452 2954549 net.cpp:139] Memory required for data: 500 I1012 03:35:53.504458 2954549 layer_factory.hpp:77] Creating layer conv I1012 03:35:53.504467 2954549 net.cpp:86] Creating Layer conv I1012 03:35:53.504472 2954549 net.cpp:408] conv <- data I1012 03:35:53.504480 2954549 net.cpp:382] conv -> conv I1012 03:35:53.504503 2954549 net.cpp:124] Setting up conv I1012 03:35:53.504508 2954549 net.cpp:131] Top shape: 5 11 8 9 (3960) I1012 03:35:53.504514 2954549 net.cpp:139] Memory required for data: 16340 I1012 03:35:53.504521 2954549 layer_factory.hpp:77] Creating layer ip I1012 03:35:53.504530 2954549 net.cpp:86] Creating Layer ip I1012 03:35:53.504536 2954549 net.cpp:408] ip <- conv I1012 03:35:53.504542 2954549 net.cpp:382] ip -> ip_blob I1012 03:35:53.504703 2954549 net.cpp:124] Setting up ip I1012 03:35:53.504710 2954549 net.cpp:131] Top shape: 5 13 (65) I1012 03:35:53.504715 2954549 net.cpp:139] Memory required for data: 16600 I1012 03:35:53.504722 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.504730 2954549 net.cpp:86] Creating Layer loss I1012 03:35:53.504736 2954549 net.cpp:408] loss <- ip_blob I1012 03:35:53.504741 2954549 net.cpp:408] loss <- label I1012 03:35:53.504747 2954549 net.cpp:382] loss -> loss I1012 03:35:53.504757 2954549 layer_factory.hpp:77] Creating layer loss I1012 03:35:53.504770 2954549 net.cpp:124] Setting up loss I1012 03:35:53.504777 2954549 net.cpp:131] Top shape: (1) I1012 03:35:53.504782 2954549 net.cpp:134] with loss weight 1 I1012 03:35:53.504792 2954549 net.cpp:139] Memory required for data: 16604 I1012 03:35:53.504797 2954549 net.cpp:200] loss needs backward computation. I1012 03:35:53.504801 2954549 net.cpp:200] ip needs backward computation. I1012 03:35:53.504807 2954549 net.cpp:200] conv needs backward computation. I1012 03:35:53.504812 2954549 net.cpp:202] data does not need backward computation. I1012 03:35:53.504817 2954549 net.cpp:244] This network produces output loss I1012 03:35:53.504823 2954549 net.cpp:257] Network initialization done. I1012 03:35:53.504840 2954549 solver.cpp:57] Solver scaffolding done. I1012 03:35:53.505362 2954549 solver.cpp:289] Solving testnet I1012 03:35:53.505375 2954549 solver.cpp:290] Learning Rate Policy: inv I1012 03:35:53.505389 2954549 solver.cpp:347] Iteration 0, Testing net (#0) I1012 03:35:53.506623 2954549 solver.cpp:414] Test net output #0: loss = 84.9019 (* 1 = 84.9019 loss) I1012 03:35:53.507071 2954549 solver.cpp:239] Iteration 0 (0 iter/s, 0.001s/100 iters), loss = 87.3365 I1012 03:35:53.507095 2954549 solver.cpp:258] Train net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1012 03:35:53.514868 2954549 sgd_solver.cpp:112] Iteration 0, lr = 0.01 I1012 03:35:53.520428 2954549 solver.cpp:347] Iteration 10, Testing net (#0) I1012 03:35:53.521880 2954549 solver.cpp:414] Test net output #0: loss = 86.5191 (* 1 = 86.5191 loss) I1012 03:35:53.528311 2954549 solver.cpp:347] Iteration 20, Testing net (#0) I1012 03:35:53.529896 2954549 solver.cpp:414] Test net output #0: loss = 85.6706 (* 1 = 85.6706 loss) I1012 03:35:53.549232 2954549 solver.cpp:347] Iteration 30, Testing net (#0) I1012 03:35:53.551013 2954549 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1012 03:35:53.557322 2954549 solver.cpp:347] Iteration 40, Testing net (#0) I1012 03:35:53.559013 2954549 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1012 03:35:53.566339 2954549 solver.cpp:347] Iteration 50, Testing net (#0) I1012 03:35:53.568308 2954549 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1012 03:35:53.573920 2954549 solver.cpp:347] Iteration 60, Testing net (#0) I1012 03:35:53.575608 2954549 solver.cpp:414] Test net output #0: loss = 87.2436 (* 1 = 87.2436 loss) I1012 03:35:53.582741 2954549 solver.cpp:347] Iteration 70, Testing net (#0) I1012 03:35:53.584477 2954549 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1012 03:35:53.588414 2954549 solver.cpp:347] Iteration 80, Testing net (#0) I1012 03:35:53.589591 2954549 solver.cpp:414] Test net output #0: loss = 86.9513 (* 1 = 86.9513 loss) I1012 03:35:53.594022 2954549 solver.cpp:347] Iteration 90, Testing net (#0) I1012 03:35:53.595166 2954549 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1012 03:35:53.600957 2954549 solver.cpp:327] Iteration 100, loss = 32.6204 I1012 03:35:53.600983 2954549 solver.cpp:347] Iteration 100, Testing net (#0) I1012 03:35:53.602120 2954549 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) I1012 03:35:53.602133 2954549 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- Ran 52 tests in 26.193s OK make[5]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target pytest make[4]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[3]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' create-stamp debian/debhelper-build-stamp fakeroot debian/rules binary-arch dh binary-arch -Scmake --with python3,bash-completion dh_testroot -a -O-Scmake dh_prep -a -O-Scmake debian/rules override_dh_auto_install-arch make[1]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install cd caffe_cpu_build && make -j4 install DESTDIR=/build/caffe-XRb9ip/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 preinstall make[3]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[3]: Nothing to be done for 'preinstall'. make[3]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Install the project... /usr/bin/cmake -P cmake_install.cmake -- Install configuration: "Release" -- Installing: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeConfig.cmake -- Installing: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe -- Installing: 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/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py -- Installing: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ -- Installing: /build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' debian/rules override_dh_install make[1]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_install # The upstream unittest can be used to verify the BLAS correctness. # the two lines start with dash in order to avoid FTBFS on Arch=all. mv caffe_cpu_build/test/test.testbin caffe-gtest install -m0755 caffe-gtest debian/caffe/usr/bin/ dh_missing --list-missing make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_installdocs -a -O-Scmake dh_installchangelogs -a -O-Scmake dh_installexamples -a -O-Scmake dh_installman -a -O-Scmake dh_bash-completion -a -O-Scmake debian/rules override_dh_python3 make[1]: Entering directory '/build/caffe-XRb9ip/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/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_installinit -a -O-Scmake dh_lintian -a -O-Scmake dh_perl -a -O-Scmake dh_link -a -O-Scmake dh_strip_nondeterminism -a -O-Scmake dh_compress -a -O-Scmake debian/rules override_dh_fixperms-arch make[1]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_fixperms chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_missing -a -O-Scmake dh_dwz -a -a -O-Scmake dh_strip -a -a -O-Scmake debian/rules override_dh_makeshlibs make[1]: Entering directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_makeshlibs --package=python3-caffe -X/usr/lib/python dh_makeshlibs --remaining-packages make[1]: Leaving directory '/build/caffe-XRb9ip/caffe-1.0.0+git20180821.99bd997' dh_shlibdeps -a -a -O-Scmake dh_installdeb -a -O-Scmake dh_gencontrol -a -O-Scmake dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -a -O-Scmake dh_builddeb -a -O-Scmake dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8+b2_amd64.deb'. dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8+b2_amd64.deb'. dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb'. dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb'. dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb'. dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb'. dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb'. dpkg-genbuildinfo --build=any dpkg-genchanges --build=any >../caffe_1.0.0+git20180821.99bd997-8+b2_amd64.changes dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) I: running special hook: sync-out /build/caffe-XRb9ip /tmp/caffe-1.0.0+git20180821.99bd997-8+b25yxdzfq3 I: cleaning package lists and apt cache... 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I: success in 4247.0590 seconds md5: caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK md5: caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK md5: libcaffe-dev_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK md5: libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK md5: libcaffe1_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK md5: python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK md5: Value of 'md5' differs for python3-caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb md5: Size differs for python3-caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb sha1: caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha1: caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha1: libcaffe-dev_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha1: libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha1: libcaffe1_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha1: python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha1: Value of 'sha1' differs for python3-caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb sha1: Size differs for python3-caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb sha256: caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha256: caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha256: libcaffe-dev_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha256: libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha256: libcaffe1_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha256: python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8+b2_amd64.deb: OK sha256: Value of 'sha256' differs for python3-caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb sha256: Size differs for python3-caffe_1.0.0+git20180821.99bd997-8+b2_amd64.deb Checksums: FAIL diffoscope run passed